V0521 11:47:42.494000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "e6c724703fcf656f1d5dca333c24e865"}
	{
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	"ph": "B",
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V0521 11:47:42.608000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "445df77f3ee4cb1bc9d7b5ecfd5cbfaf"}
	{
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V0521 11:47:42.613000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_logging/structured.py:27] {"str": ["/data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/torch/_dynamo/convert_frame.py", 0]}
V0521 11:47:42.615000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_logging/structured.py:27] {"str": ["/data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/__run_lpar_main__.py", 1]}
V0521 11:47:42.616000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_logging/structured.py:27] {"str": ["/data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/__par__/meta_only/bootstrap.py", 2]}
V0521 11:47:42.618000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_logging/structured.py:27] {"str": ["/data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/__par__/bootstrap.py", 3]}
V0521 11:47:42.619000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_logging/structured.py:27] {"str": ["/data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py", 4]}
V0521 11:47:42.620000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_logging/structured.py:27] {"str": ["/data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/torch/_dynamo/eval_frame.py", 5]}
V0521 11:47:42.621000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_logging/structured.py:27] {"str": ["/data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/torch/nn/modules/module.py", 6]}
V0521 11:47:42.622000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/convert_frame.py:1059] {"dynamo_start": {"stack": [{"line": 38, "name": "<module>", "filename": 1, "loc": "__invoke_main()"}, {"line": 35, "name": "__invoke_main", "filename": 1, "loc": "run_as_main(module, main_function)"}, {"line": 98, "name": "run_as_main", "filename": 2, "loc": "oss_run_as_main("}, {"line": 94, "name": "run_as_main", "filename": 3, "loc": "main()"}, {"line": 61, "name": "main", "filename": 4, "loc": "torch.compile(model)(*example_inputs)"}, {"line": 372, "name": "__call__", "filename": 5, "loc": "return super().__call__(*args, **kwargs)"}, {"line": 1767, "name": "_wrapped_call_impl", "filename": 6, "loc": "return self._call_impl(*args, **kwargs)"}, {"line": 1778, "name": "_call_impl", "filename": 6, "loc": "return forward_call(*args, **kwargs)"}, {"line": 699, "name": "_fn", "filename": 5, "loc": "return fn(*args, **kwargs)"}, {"line": 1767, "name": "_wrapped_call_impl", "filename": 6, "loc": "return self._call_impl(*args, **kwargs)"}, {"line": 28, "name": "forward", "filename": 4}]}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0521 11:47:42.638000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "f11cf94e40f89f3fe3ae7b804dd0aa4a"}
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V0521 11:47:42.858000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "62e31aa8e628ce1aaa8a0a43b9b7a1f1"}
	{
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	},
	"ph": "B",
	"cat": "dynamo_timed",
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V0521 11:47:42.872000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_subclasses/meta_utils.py:271] {"describe_storage": {"id": 0, "describer_id": 0, "size": 640}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0521 11:47:42.874000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_subclasses/meta_utils.py:486] {"describe_tensor": {"id": 0, "ndim": 2, "dtype": "torch.float32", "device": "device(type='cpu')", "size": [16, 10], "is_leaf": true, "requires_grad": true, "is_parameter": true, "stride": [10, 1], "storage": 0, "view_func": "_CustomViewFunc(func=<built-in method _view_func_unsafe of Parameter object at 0x7fc99ff170c0>)", "describer_id": 0}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0521 11:47:42.875000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_subclasses/meta_utils.py:1893] {"describe_source": {"describer_id": 0, "id": 0, "source": "L['self']._modules['fc1']._parameters['weight']"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0521 11:47:42.880000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_subclasses/meta_utils.py:271] {"describe_storage": {"id": 1, "describer_id": 0, "size": 64}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0521 11:47:42.881000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_subclasses/meta_utils.py:486] {"describe_tensor": {"id": 1, "ndim": 1, "dtype": "torch.float32", "device": "device(type='cpu')", "size": [16], "is_leaf": true, "requires_grad": true, "is_parameter": true, "stride": [1], "storage": 1, "view_func": "_CustomViewFunc(func=<built-in method _view_func_unsafe of Parameter object at 0x7fc966152990>)", "describer_id": 0}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0521 11:47:42.883000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_subclasses/meta_utils.py:1893] {"describe_source": {"describer_id": 0, "id": 1, "source": "L['self']._modules['fc1']._parameters['bias']"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0521 11:47:42.898000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_subclasses/meta_utils.py:271] {"describe_storage": {"id": 2, "describer_id": 0, "size": 320}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0521 11:47:42.900000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_subclasses/meta_utils.py:486] {"describe_tensor": {"id": 2, "ndim": 2, "dtype": "torch.float32", "device": "device(type='cpu')", "size": [8, 10], "is_leaf": true, "stride": [10, 1], "storage": 2, "view_func": "_CustomViewFunc(func=<built-in method _view_func_unsafe of Tensor object at 0x7fc99ff16260>)", "describer_id": 0}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0521 11:47:42.901000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_subclasses/meta_utils.py:1893] {"describe_source": {"describer_id": 0, "id": 2, "source": "L['x']"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0521 11:47:42.949000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_subclasses/meta_utils.py:271] {"describe_storage": {"id": 3, "describer_id": 0, "size": 800}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0521 11:47:42.951000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_subclasses/meta_utils.py:486] {"describe_tensor": {"id": 10, "ndim": 2, "dtype": "torch.float32", "device": "device(type='cpu')", "size": [10, 20], "is_leaf": true, "stride": [20, 1], "storage": 3, "view_func": "_CustomViewFunc(func=<built-in method _view_func_unsafe of Tensor object at 0x7fc966152260>)", "describer_id": 0}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0521 11:47:42.952000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_subclasses/meta_utils.py:1893] {"describe_source": {"describer_id": 0, "id": 10, "source": "L['a']"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0521 11:47:42.958000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_subclasses/meta_utils.py:271] {"describe_storage": {"id": 4, "describer_id": 0, "size": 2400}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0521 11:47:42.959000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_subclasses/meta_utils.py:486] {"describe_tensor": {"id": 12, "ndim": 2, "dtype": "torch.float32", "device": "device(type='cpu')", "size": [20, 30], "is_leaf": true, "stride": [30, 1], "storage": 4, "view_func": "_CustomViewFunc(func=<built-in method _view_func_unsafe of Tensor object at 0x7fc9661528a0>)", "describer_id": 0}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0521 11:47:42.960000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_subclasses/meta_utils.py:1893] {"describe_source": {"describer_id": 0, "id": 12, "source": "L['b']"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0521 11:47:42.963000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_subclasses/meta_utils.py:271] {"describe_storage": {"id": 5, "describer_id": 0, "size": 1200}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0521 11:47:42.965000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_subclasses/meta_utils.py:486] {"describe_tensor": {"id": 13, "ndim": 2, "dtype": "torch.float32", "device": "device(type='cpu')", "size": [10, 30], "is_leaf": true, "stride": [30, 1], "storage": 5, "view_func": "_CustomViewFunc(func=<built-in method _view_func_unsafe of Tensor object at 0x7fc966152940>)", "describer_id": 0}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0521 11:47:42.966000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_subclasses/meta_utils.py:1893] {"describe_source": {"describer_id": 0, "id": 13, "source": "L['c']"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0521 11:47:42.979000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "9d15a52b084786ddc1795ebac6e327b0"}
	{
	"name": "bytecode_tracing",
	"ts": 1747853262979124.2,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:42.990000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/output_graph.py:1502] {"dynamo_output_graph": {"sizes": {"l_self_modules_fc1_parameters_weight_": [16, 10], "l_self_modules_fc1_parameters_bias_": [16], "l_x_": [8, 10], "l_a_": [10, 20], "l_b_": [20, 30], "l_c_": [10, 30], "x": [8, 16], "x_1": [8, 16], "x_2": [8, 16], "d": [10, 20], "y": [10, 30], "z": [10, 30]}}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "12d3623dcb6ba2ed0b0267f5b35d08bc"}
	class GraphModule(torch.nn.Module):
	    def forward(self, L_self_modules_fc1_parameters_weight_: "f32[16, 10][10, 1]cpu", L_self_modules_fc1_parameters_bias_: "f32[16][1]cpu", L_x_: "f32[8, 10][10, 1]cpu", L_a_: "f32[10, 20][20, 1]cpu", L_b_: "f32[20, 30][30, 1]cpu", L_c_: "f32[10, 30][30, 1]cpu"):
	        l_self_modules_fc1_parameters_weight_ = L_self_modules_fc1_parameters_weight_
	        l_self_modules_fc1_parameters_bias_ = L_self_modules_fc1_parameters_bias_
	        l_x_ = L_x_
	        l_a_ = L_a_
	        l_b_ = L_b_
	        l_c_ = L_c_
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:29 in forward, code: x = self.fc1(x)
	        x: "f32[8, 16][16, 1]cpu" = torch._C._nn.linear(l_x_, l_self_modules_fc1_parameters_weight_, l_self_modules_fc1_parameters_bias_);  l_x_ = l_self_modules_fc1_parameters_weight_ = l_self_modules_fc1_parameters_bias_ = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:30 in forward, code: x = self.relu(x)
	        x_1: "f32[8, 16][16, 1]cpu" = torch.nn.functional.relu(x, inplace = False);  x = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:31 in forward, code: x = self.sigmoid(x)
	        x_2: "f32[8, 16][16, 1]cpu" = torch.sigmoid(x_1);  x_1 = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:32 in forward, code: d = a * 3.14
	        d: "f32[10, 20][20, 1]cpu" = l_a_ * 3.14;  l_a_ = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:33 in forward, code: y = torch.addmm(c, d, b)
	        y: "f32[10, 30][30, 1]cpu" = torch.addmm(l_c_, d, l_b_);  l_c_ = d = l_b_ = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:34 in forward, code: z = torch.nn.functional.gelu(y)
	        z: "f32[10, 30][30, 1]cpu" = torch._C._nn.gelu(y);  y = None
	        return (x_2, z)
	        
V0521 11:47:42.993000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "419e8b05662cfca6d00585a0ad799bc8"}
	{
	"name": "backend_compile",
	"ts": 1747853262993246.0,
	"args": {
	"fn_name": "OutputGraph.call_user_compiler",
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:42.996000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_inductor/compile_fx.py:2045] {"artifact": {"name": "before_pre_grad_graph", "encoding": "string"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "6713712c0c7adbd52ac188491f6901f8"}
	class GraphModule(torch.nn.Module):
	    def forward(self, L_self_modules_fc1_parameters_weight_: "f32[16, 10][10, 1]cpu", L_self_modules_fc1_parameters_bias_: "f32[16][1]cpu", L_x_: "f32[8, 10][10, 1]cpu", L_a_: "f32[10, 20][20, 1]cpu", L_b_: "f32[20, 30][30, 1]cpu", L_c_: "f32[10, 30][30, 1]cpu"):
	        l_self_modules_fc1_parameters_weight_ = L_self_modules_fc1_parameters_weight_
	        l_self_modules_fc1_parameters_bias_ = L_self_modules_fc1_parameters_bias_
	        l_x_ = L_x_
	        l_a_ = L_a_
	        l_b_ = L_b_
	        l_c_ = L_c_
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:29 in forward, code: x = self.fc1(x)
	        x: "f32[8, 16][16, 1]cpu" = torch._C._nn.linear(l_x_, l_self_modules_fc1_parameters_weight_, l_self_modules_fc1_parameters_bias_);  l_x_ = l_self_modules_fc1_parameters_weight_ = l_self_modules_fc1_parameters_bias_ = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:30 in forward, code: x = self.relu(x)
	        x_1: "f32[8, 16][16, 1]cpu" = torch.nn.functional.relu(x, inplace = False);  x = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:31 in forward, code: x = self.sigmoid(x)
	        x_2: "f32[8, 16][16, 1]cpu" = torch.sigmoid(x_1);  x_1 = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:32 in forward, code: d = a * 3.14
	        d: "f32[10, 20][20, 1]cpu" = l_a_ * 3.14;  l_a_ = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:33 in forward, code: y = torch.addmm(c, d, b)
	        y: "f32[10, 30][30, 1]cpu" = torch.addmm(l_c_, d, l_b_);  l_c_ = d = l_b_ = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:34 in forward, code: z = torch.nn.functional.gelu(y)
	        z: "f32[10, 30][30, 1]cpu" = torch._C._nn.gelu(y);  y = None
	        return (x_2, z)
	        
	
	 # graph id: 140502189412416
V0521 11:47:43.001000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "9a3e69cbadc9e8e237a182b37ac224be"}
	{
	"name": "_recursive_pre_grad_passes",
	"ts": 1747853263001257.8,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:43.676000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "e7e11c8666d6e6caa2e649c527a94e9a"}
	{
	"name": "_recursive_pre_grad_passes",
	"ts": 1747853263676159.0,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:43.681000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_inductor/compile_fx.py:2069] {"artifact": {"name": "after_pre_grad_graph", "encoding": "string"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "6713712c0c7adbd52ac188491f6901f8"}
	class GraphModule(torch.nn.Module):
	    def forward(self, L_self_modules_fc1_parameters_weight_: "f32[16, 10][10, 1]cpu", L_self_modules_fc1_parameters_bias_: "f32[16][1]cpu", L_x_: "f32[8, 10][10, 1]cpu", L_a_: "f32[10, 20][20, 1]cpu", L_b_: "f32[20, 30][30, 1]cpu", L_c_: "f32[10, 30][30, 1]cpu"):
	        l_self_modules_fc1_parameters_weight_ = L_self_modules_fc1_parameters_weight_
	        l_self_modules_fc1_parameters_bias_ = L_self_modules_fc1_parameters_bias_
	        l_x_ = L_x_
	        l_a_ = L_a_
	        l_b_ = L_b_
	        l_c_ = L_c_
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:29 in forward, code: x = self.fc1(x)
	        x: "f32[8, 16][16, 1]cpu" = torch._C._nn.linear(l_x_, l_self_modules_fc1_parameters_weight_, l_self_modules_fc1_parameters_bias_);  l_x_ = l_self_modules_fc1_parameters_weight_ = l_self_modules_fc1_parameters_bias_ = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:30 in forward, code: x = self.relu(x)
	        x_1: "f32[8, 16][16, 1]cpu" = torch.nn.functional.relu(x, inplace = False);  x = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:31 in forward, code: x = self.sigmoid(x)
	        x_2: "f32[8, 16][16, 1]cpu" = torch.sigmoid(x_1);  x_1 = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:32 in forward, code: d = a * 3.14
	        d: "f32[10, 20][20, 1]cpu" = l_a_ * 3.14;  l_a_ = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:33 in forward, code: y = torch.addmm(c, d, b)
	        y: "f32[10, 30][30, 1]cpu" = torch.addmm(l_c_, d, l_b_);  l_c_ = d = l_b_ = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:34 in forward, code: z = torch.nn.functional.gelu(y)
	        z: "f32[10, 30][30, 1]cpu" = torch._C._nn.gelu(y);  y = None
	        return (x_2, z)
	        
	
	 # graph id: 140502189412416
V0521 11:47:43.701000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "df6b4fe51ea96a7ddba44af81914f625"}
	{
	"name": "inductor_codecache_torch_key",
	"ts": 1747853263701721.8,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:43.704000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "b0fe22766498fd2381d91e56e1e9ab61"}
	{
	"name": "inductor_codecache_torch_key",
	"ts": 1747853263704676.0,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:45.039000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "5d9da05c4d20beeb6f2dee5295850068"}
	{
	"name": "create_aot_dispatcher_function",
	"ts": 1747853265039611.8,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:45.047000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "ff09b5ce7b103d900fbb345ba1cfa8cf"}
	{
	"name": "aot_collect_metadata",
	"ts": 1747853265047551.0,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:45.073000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "cf4a50b50a3a830e3909047c4526975d"}
	{
	"name": "aot_collect_metadata",
	"ts": 1747853265073132.0,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:45.124000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_functorch/_aot_autograd/dispatch_and_compile_graph.py:214] {"artifact": {"name": "aot_forward_graph_fw_metadata", "encoding": "string"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "26e8065363f92e0c82ef4c06a48c2eee"}
	ViewAndMutationMeta(input_info=[InputAliasInfo(is_leaf=True,
	                                              mutates_data=False,
	                                              mutates_metadata=False,
	                                              mutations_hidden_from_autograd=True,
	                                              mutations_under_no_grad_or_inference_mode=False,
	                                              mutation_inductor_storage_resize=False,
	                                              mutates_storage_metadata=False,
	                                              requires_grad=True,
	                                              keep_input_mutations=True),
	                               InputAliasInfo(is_leaf=True,
	                                              mutates_data=False,
	                                              mutates_metadata=False,
	                                              mutations_hidden_from_autograd=True,
	                                              mutations_under_no_grad_or_inference_mode=False,
	                                              mutation_inductor_storage_resize=False,
	                                              mutates_storage_metadata=False,
	                                              requires_grad=True,
	                                              keep_input_mutations=True),
	                               InputAliasInfo(is_leaf=True,
	                                              mutates_data=False,
	                                              mutates_metadata=False,
	                                              mutations_hidden_from_autograd=True,
	                                              mutations_under_no_grad_or_inference_mode=False,
	                                              mutation_inductor_storage_resize=False,
	                                              mutates_storage_metadata=False,
	                                              requires_grad=False,
	                                              keep_input_mutations=True),
	                               InputAliasInfo(is_leaf=True,
	                                              mutates_data=False,
	                                              mutates_metadata=False,
	                                              mutations_hidden_from_autograd=True,
	                                              mutations_under_no_grad_or_inference_mode=False,
	                                              mutation_inductor_storage_resize=False,
	                                              mutates_storage_metadata=False,
	                                              requires_grad=False,
	                                              keep_input_mutations=True),
	                               InputAliasInfo(is_leaf=True,
	                                              mutates_data=False,
	                                              mutates_metadata=False,
	                                              mutations_hidden_from_autograd=True,
	                                              mutations_under_no_grad_or_inference_mode=False,
	                                              mutation_inductor_storage_resize=False,
	                                              mutates_storage_metadata=False,
	                                              requires_grad=False,
	                                              keep_input_mutations=True),
	                               InputAliasInfo(is_leaf=True,
	                                              mutates_data=False,
	                                              mutates_metadata=False,
	                                              mutations_hidden_from_autograd=True,
	                                              mutations_under_no_grad_or_inference_mode=False,
	                                              mutation_inductor_storage_resize=False,
	                                              mutates_storage_metadata=False,
	                                              requires_grad=False,
	                                              keep_input_mutations=True)],
	                    output_info=[OutputAliasInfo(output_type=<OutputType.non_alias: 1>,
	                                                raw_type=<class 'torch._subclasses.functional_tensor.FunctionalTensor'>,
	                                                base_idx=None,
	                                                dynamic_dims=set(),
	                                                requires_grad=False,
	                                                functional_tensor=None),
	                                OutputAliasInfo(output_type=<OutputType.non_alias: 1>,
	                                                raw_type=<class 'torch._subclasses.functional_tensor.FunctionalTensor'>,
	                                                base_idx=None,
	                                                dynamic_dims=set(),
	                                                requires_grad=False,
	                                                functional_tensor=None)],
	                    num_intermediate_bases=0,
	                    keep_input_mutations=True,
	                    traced_tangents=[],
	                    subclass_inp_meta=[PlainTensorMeta(unwrapped_idx=0,
	                                                      memory_format=None),
	                                      PlainTensorMeta(unwrapped_idx=1,
	                                                      memory_format=None),
	                                      PlainTensorMeta(unwrapped_idx=2,
	                                                      memory_format=None),
	                                      PlainTensorMeta(unwrapped_idx=3,
	                                                      memory_format=None),
	                                      PlainTensorMeta(unwrapped_idx=4,
	                                                      memory_format=None),
	                                      PlainTensorMeta(unwrapped_idx=5,
	                                                      memory_format=None)],
	                    subclass_fw_graph_out_meta=[PlainTensorMeta(unwrapped_idx=0,
	                                                               memory_format=None),
	                                               PlainTensorMeta(unwrapped_idx=1,
	                                                               memory_format=None)],
	                    subclass_tangent_meta=[],
	                    is_train=False,
	                    traced_tangent_metas=None,
	                    num_symints_saved_for_bw=None,
	                    grad_enabled_mutation=None,
	                    deterministic=None,
	                    static_input_indices=[0, 1],
	                    tokens={},
	                    indices_of_inputs_that_requires_grad_with_mutations_in_bw=[],
	                    bw_donated_idxs=None,
	                    num_backward_tokens=0,
	                    num_graphsafe_rng_states=0,
	                    graphsafe_rng_state_index=None)
V0521 11:47:45.128000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_functorch/_aot_autograd/dispatch_and_compile_graph.py:232] {"aot_inference_graph": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "65d460b79e882ad42329b1114f6a648b"}
	class <lambda>(torch.nn.Module):
	    def forward(self, arg0_1: "f32[16, 10][10, 1]cpu", arg1_1: "f32[16][1]cpu", arg2_1: "f32[8, 10][10, 1]cpu", arg3_1: "f32[10, 20][20, 1]cpu", arg4_1: "f32[20, 30][30, 1]cpu", arg5_1: "f32[10, 30][30, 1]cpu"):
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:29 in forward, code: x = self.fc1(x)
	        permute: "f32[10, 16][1, 10]cpu" = torch.ops.aten.permute.default(arg0_1, [1, 0]);  arg0_1 = None
	        addmm: "f32[8, 16][16, 1]cpu" = torch.ops.aten.addmm.default(arg1_1, arg2_1, permute);  arg1_1 = arg2_1 = permute = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:30 in forward, code: x = self.relu(x)
	        relu: "f32[8, 16][16, 1]cpu" = torch.ops.aten.relu.default(addmm);  addmm = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:31 in forward, code: x = self.sigmoid(x)
	        sigmoid: "f32[8, 16][16, 1]cpu" = torch.ops.aten.sigmoid.default(relu);  relu = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:32 in forward, code: d = a * 3.14
	        mul: "f32[10, 20][20, 1]cpu" = torch.ops.aten.mul.Tensor(arg3_1, 3.14);  arg3_1 = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:33 in forward, code: y = torch.addmm(c, d, b)
	        addmm_1: "f32[10, 30][30, 1]cpu" = torch.ops.aten.addmm.default(arg5_1, mul, arg4_1);  arg5_1 = mul = arg4_1 = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:34 in forward, code: z = torch.nn.functional.gelu(y)
	        mul_1: "f32[10, 30][30, 1]cpu" = torch.ops.aten.mul.Tensor(addmm_1, 0.5)
	        mul_2: "f32[10, 30][30, 1]cpu" = torch.ops.aten.mul.Tensor(addmm_1, 0.7071067811865476);  addmm_1 = None
	        erf: "f32[10, 30][30, 1]cpu" = torch.ops.aten.erf.default(mul_2);  mul_2 = None
	        add: "f32[10, 30][30, 1]cpu" = torch.ops.aten.add.Tensor(erf, 1);  erf = None
	        mul_3: "f32[10, 30][30, 1]cpu" = torch.ops.aten.mul.Tensor(mul_1, add);  mul_1 = add = None
	        return (sigmoid, mul_3)
	        
V0521 11:47:45.131000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_functorch/_aot_autograd/jit_compile_runtime_wrappers.py:213] {"artifact": {"name": "torch._functorch.config", "encoding": "string"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "4decfa2592568d76b81bb2a5452e6d45"}
	{
	"TYPE_CHECKING": false,
	"functionalize_rng_ops": false,
	"fake_tensor_allow_meta": true,
	"debug_assert": false,
	"debug_partitioner": true,
	"decompose_custom_triton_ops": true,
	"static_weight_shapes": true,
	"treat_parameters_as_free_to_save": true,
	"cse": true,
	"enable_autograd_cache": true,
	"autograd_cache_allow_custom_autograd_functions": false,
	"enable_remote_autograd_cache": null,
	"view_replay_for_aliased_outputs": false,
	"max_dist_from_bw": 1000,
	"ban_recompute_used_far_apart": true,
	"ban_recompute_long_fusible_chains": true,
	"ban_recompute_materialized_backward": true,
	"ban_recompute_not_in_allowlist": true,
	"ban_recompute_reductions": true,
	"recompute_views": false,
	"activation_memory_budget": 1.0,
	"activation_memory_budget_runtime_estimator": "flops",
	"activation_memory_budget_solver": "dp",
	"visualize_memory_budget_pareto": false,
	"memory_budget_pareto_dir": null,
	"aggressive_recomputation": false,
	"fake_tensor_allow_unsafe_data_ptr_access": true,
	"unlift_effect_tokens": true,
	"custom_op_default_layout_constraint": "needs_exact_strides",
	"fake_tensor_crossref": false,
	"fake_tensor_propagate_real_tensors": false,
	"donated_buffer": false,
	"torch_compile_graph_format": "svg",
	"generate_fake_kernels_from_real_mismatches": false,
	"graphsafe_rng_functionalization": true,
	"strict_autograd_cache": false,
	"unsafe_allow_optimization_of_collectives": false,
	"disable_guess_zero_tangent_for_mutated_input_subclass": false,
	"guess_tangent_strides_as_outputs": false,
	"_broadcast_rank0_decision": false
	}
V0521 11:47:45.133000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "eef25900aa5b3e8d9828cf50932e58cf"}
	{
	"name": "compile_fx.<locals>.fw_compiler_base",
	"ts": 1747853265133523.0,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:45.136000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "16a18f4a713aeefb24df6bc6b7f82e3b"}
	{
	"name": "_recursive_joint_graph_passes",
	"ts": 1747853265136052.0,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:45.834000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "69ddeb0dd29f0cf94ea18cdecca06682"}
	{
	"name": "_recursive_joint_graph_passes",
	"ts": 1747853265834048.5,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:45.837000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "81722b013edf37b74a0bcb624197a583"}
	{
	"name": "inductor_compile",
	"ts": 1747853265837530.5,
	"args": {
	"fn_name": "compile_fx_inner",
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:45.852000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "546a3b76884687c638b1297399748194"}
	{
	"name": "fx_codegen_and_compile",
	"ts": 1747853265852077.2,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:45.874000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "7956bc2f5ae0f3a9c2537ab908120010"}
	{
	"name": "remote_fx_graph_cache_get",
	"ts": 1747853265874864.8,
	"args": {
	"fn_name": "FbRemoteFxGraphCache.get",
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:45.935000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "e3013531e042721c0b78d4fb4e6974cd"}
	{
	"name": "remote_fx_graph_cache_get",
	"ts": 1747853265935606.0,
	"args": {
	"fn_name": "FbRemoteFxGraphCache.get",
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:45.949000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_inductor/compile_fx.py:1109] {"artifact": {"name": "fx_graph_runnable", "encoding": "string"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "6dea3a2e2000fb1225ce6d0f51df34b2"}
	
	import os
	os.environ['TORCH_TRACE'] = '/home/shangdiy/my_trace_log_dir'
	os.environ['TORCH_COMPILE_DEBUG'] = '1'
	os.environ['TORCH_LOGS'] = '+inductor'
	os.environ['PYTORCH_DDP_USE_SIDE_STREAM'] = '0'
	os.environ['TORCHINDUCTOR_CACHE_DIR'] = '/var/tmp/torchinductor_shangdiy'
	
	import torch
	from torch import tensor, device
	import torch.fx as fx
	from torch._dynamo.testing import rand_strided
	from math import inf
	import torch._inductor.inductor_prims
	
	import torch._dynamo.config
	import torch._inductor.config
	import torch._functorch.config
	import torch.fx.experimental._config
	
	
	torch._functorch.config.functionalize_rng_ops = False
	torch._functorch.config.debug_partitioner = True
	torch._functorch.config.fake_tensor_allow_unsafe_data_ptr_access = True
	torch._functorch.config.unlift_effect_tokens = True
	
	
	
	isolate_fails_code_str = None
	
	torch.ops.load_library("//caffe2/torch/fb/sparsenn:sparsenn_operators_gpu")
	torch.ops.load_library("//caffe2/torch/fb/sparsenn:sparsenn_operators")
	torch.ops.load_library("//deeplearning/fbgemm/fbgemm_gpu:sparse_ops_cpu")
	torch.ops.load_library("//deeplearning/fbgemm/fbgemm_gpu:sparse_ops")
	
	"""
	To run this script in fbcode:
	- Create a directory (//scripts/{your_unixname}/repro)
	- Put this file in scripts/{your_unixname}/repro/fx_graph_runnable.py
	- Add a TARGETS file that looks like the following
	- `buck2 run //scripts/{your_unixname}/repro:repro`
	
	NOTE: you may need additional deps to actually be able to run the script.
	```
	# Contents of TARGETS file
	load("@fbcode_macros//build_defs:python_binary.bzl", "python_binary")
	
	python_binary(
	    name = "repro",
	    main_src = "fx_graph_runnable.py",
	    deps = [
	        "//caffe2:torch",
	        "//caffe2/torch/fb/sparsenn:sparsenn_operators_gpu",
	        "//caffe2/torch/fb/sparsenn:sparsenn_operators",
	        "//deeplearning/fbgemm/fbgemm_gpu:sparse_ops_cpu",
	        "//deeplearning/fbgemm/fbgemm_gpu:sparse_ops",
	    ],
	)
	```
	"""
	
	# torch version: 2.8.0a0+fb
	# torch cuda version: 12.4.0
	# CUDA Info: 
	# nvcc not found
	# GPU Hardware Info: 
	# NVIDIA PG509-210 : 1 
	
	
	from torch.nn import *
	class Repro(torch.nn.Module):
	    def __init__(self) -> None:
	        super().__init__()
	
	    
	    
	    def forward(self, arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1):
	        permute = torch.ops.aten.permute.default(arg0_1, [1, 0]);  arg0_1 = None
	        addmm = torch.ops.aten.addmm.default(arg1_1, arg2_1, permute);  arg1_1 = arg2_1 = permute = None
	        relu = torch.ops.aten.relu.default(addmm);  addmm = None
	        sigmoid = torch.ops.aten.sigmoid.default(relu);  relu = None
	        mul = torch.ops.aten.mul.Tensor(arg3_1, 3.14);  arg3_1 = None
	        addmm_1 = torch.ops.aten.addmm.default(arg5_1, mul, arg4_1);  arg5_1 = mul = arg4_1 = None
	        mul_1 = torch.ops.aten.mul.Tensor(addmm_1, 0.5)
	        mul_2 = torch.ops.aten.mul.Tensor(addmm_1, 0.7071067811865476);  addmm_1 = None
	        erf = torch.ops.aten.erf.default(mul_2);  mul_2 = None
	        add = torch.ops.aten.add.Tensor(erf, 1);  erf = None
	        mul_3 = torch.ops.aten.mul.Tensor(mul_1, add);  mul_1 = add = None
	        return (sigmoid, mul_3)
	        
	def load_args(reader):
	    buf0 = reader.storage(None, 640)
	    reader.tensor(buf0, (16, 10), is_leaf=True)  # arg0_1
	    buf1 = reader.storage(None, 64)
	    reader.tensor(buf1, (16,), is_leaf=True)  # arg1_1
	    buf2 = reader.storage(None, 320)
	    reader.tensor(buf2, (8, 10), is_leaf=True)  # arg2_1
	    buf3 = reader.storage(None, 800)
	    reader.tensor(buf3, (10, 20), is_leaf=True)  # arg3_1
	    buf4 = reader.storage(None, 2400)
	    reader.tensor(buf4, (20, 30), is_leaf=True)  # arg4_1
	    buf5 = reader.storage(None, 1200)
	    reader.tensor(buf5, (10, 30), is_leaf=True)  # arg5_1
	load_args._version = 0
	mod = Repro()
	if __name__ == '__main__':
	    from torch._dynamo.repro.after_aot import run_repro
	    with torch.no_grad():
	        run_repro(mod, load_args, accuracy=False, command='run', save_dir=None, tracing_mode='real', check_str=None)
	        # To run it separately, do 
	        # mod, args = run_repro(mod, load_args, accuracy=False, command='get_args', save_dir=None, tracing_mode='real', check_str=None)
	        # mod(*args)
V0521 11:47:45.955000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "0f235c45c62593b88103dd94f569df95"}
	{
	"name": "additional_fake_tensor_prop",
	"ts": 1747853265955159.5,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:45.970000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "e9f4cc04d0e172fe75e34952d38c0e8b"}
	{
	"name": "additional_fake_tensor_prop",
	"ts": 1747853265969931.0,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:45.974000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_inductor/compile_fx.py:1158] {"artifact": {"name": "before_post_grad_graph", "encoding": "string"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "65d460b79e882ad42329b1114f6a648b"}
	class <lambda>(torch.nn.Module):
	    def forward(self, arg0_1: "f32[16, 10][10, 1]cpu", arg1_1: "f32[16][1]cpu", arg2_1: "f32[8, 10][10, 1]cpu", arg3_1: "f32[10, 20][20, 1]cpu", arg4_1: "f32[20, 30][30, 1]cpu", arg5_1: "f32[10, 30][30, 1]cpu"):
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:29 in forward, code: x = self.fc1(x)
	        permute: "f32[10, 16][1, 10]cpu" = torch.ops.aten.permute.default(arg0_1, [1, 0]);  arg0_1 = None
	        addmm: "f32[8, 16][16, 1]cpu" = torch.ops.aten.addmm.default(arg1_1, arg2_1, permute);  arg1_1 = arg2_1 = permute = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:30 in forward, code: x = self.relu(x)
	        relu: "f32[8, 16][16, 1]cpu" = torch.ops.aten.relu.default(addmm);  addmm = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:31 in forward, code: x = self.sigmoid(x)
	        sigmoid: "f32[8, 16][16, 1]cpu" = torch.ops.aten.sigmoid.default(relu);  relu = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:32 in forward, code: d = a * 3.14
	        mul: "f32[10, 20][20, 1]cpu" = torch.ops.aten.mul.Tensor(arg3_1, 3.14);  arg3_1 = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:33 in forward, code: y = torch.addmm(c, d, b)
	        addmm_1: "f32[10, 30][30, 1]cpu" = torch.ops.aten.addmm.default(arg5_1, mul, arg4_1);  arg5_1 = mul = arg4_1 = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:34 in forward, code: z = torch.nn.functional.gelu(y)
	        mul_1: "f32[10, 30][30, 1]cpu" = torch.ops.aten.mul.Tensor(addmm_1, 0.5)
	        mul_2: "f32[10, 30][30, 1]cpu" = torch.ops.aten.mul.Tensor(addmm_1, 0.7071067811865476);  addmm_1 = None
	        erf: "f32[10, 30][30, 1]cpu" = torch.ops.aten.erf.default(mul_2);  mul_2 = None
	        add: "f32[10, 30][30, 1]cpu" = torch.ops.aten.add.Tensor(erf, 1);  erf = None
	        mul_3: "f32[10, 30][30, 1]cpu" = torch.ops.aten.mul.Tensor(mul_1, add);  mul_1 = add = None
	        return (sigmoid, mul_3)
	        
V0521 11:47:45.976000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "a882e3cdfd553790a236f3d2130fce6b"}
	{
	"name": "_recursive_post_grad_passes",
	"ts": 1747853265976227.5,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:46.016000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "2b5790d731aa805989463fff953d511f"}
	{
	"name": "_recursive_post_grad_passes",
	"ts": 1747853266016653.0,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:46.027000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_inductor/compile_fx.py:1194] {"artifact": {"name": "after_post_grad_graph", "encoding": "string"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "65d460b79e882ad42329b1114f6a648b"}
	class <lambda>(torch.nn.Module):
	    def forward(self, arg0_1: "f32[16, 10][10, 1]cpu", arg1_1: "f32[16][1]cpu", arg2_1: "f32[8, 10][10, 1]cpu", arg3_1: "f32[10, 20][20, 1]cpu", arg4_1: "f32[20, 30][30, 1]cpu", arg5_1: "f32[10, 30][30, 1]cpu"):
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:29 in forward, code: x = self.fc1(x)
	        permute: "f32[10, 16][1, 10]cpu" = torch.ops.aten.permute.default(arg0_1, [1, 0]);  arg0_1 = None
	        addmm: "f32[8, 16][16, 1]cpu" = torch.ops.aten.addmm.default(arg1_1, arg2_1, permute);  arg1_1 = arg2_1 = permute = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:30 in forward, code: x = self.relu(x)
	        relu: "f32[8, 16][16, 1]cpu" = torch.ops.aten.relu.default(addmm);  addmm = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:31 in forward, code: x = self.sigmoid(x)
	        sigmoid: "f32[8, 16][16, 1]cpu" = torch.ops.aten.sigmoid.default(relu);  relu = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:32 in forward, code: d = a * 3.14
	        mul: "f32[10, 20][20, 1]cpu" = torch.ops.aten.mul.Tensor(arg3_1, 3.14);  arg3_1 = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:33 in forward, code: y = torch.addmm(c, d, b)
	        addmm_1: "f32[10, 30][30, 1]cpu" = torch.ops.aten.addmm.default(arg5_1, mul, arg4_1);  arg5_1 = mul = arg4_1 = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:34 in forward, code: z = torch.nn.functional.gelu(y)
	        mul_1: "f32[10, 30][30, 1]cpu" = torch.ops.aten.mul.Tensor(addmm_1, 0.5)
	        mul_2: "f32[10, 30][30, 1]cpu" = torch.ops.aten.mul.Tensor(addmm_1, 0.7071067811865476);  addmm_1 = None
	        erf: "f32[10, 30][30, 1]cpu" = torch.ops.aten.erf.default(mul_2);  mul_2 = None
	        add: "f32[10, 30][30, 1]cpu" = torch.ops.aten.add.Tensor(erf, 1);  erf = None
	        mul_3: "f32[10, 30][30, 1]cpu" = torch.ops.aten.mul.Tensor(mul_1, add);  mul_1 = add = None
	        return (sigmoid, mul_3)
	        
V0521 11:47:46.029000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_inductor/compile_fx.py:1206] {"artifact": {"name": "inductor_post_to_pre_grad_nodes", "encoding": "json"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "4434f1fd924239a91548f68e3d2fb5e9"}
	{"permute": [{"name": "x", "target": "<built-in function linear>", "graph_id": 140502189412416, "pass_name": "Interpreter_PropagateUnbackedSymInts", "action": "create", "from_node": []}], "addmm": [{"name": "x", "target": "<built-in function linear>", "graph_id": 140502189412416, "pass_name": "Interpreter_PropagateUnbackedSymInts", "action": "create", "from_node": []}], "relu": [{"name": "x_1", "target": "<function relu at 0x7fc94d140a40>", "graph_id": 140502189412416, "pass_name": "Interpreter_PropagateUnbackedSymInts", "action": "create", "from_node": []}], "sigmoid": [{"name": "x_2", "target": "<built-in method sigmoid of type object at 0x559f8f1a9758>", "graph_id": 140502189412416, "pass_name": "Interpreter_PropagateUnbackedSymInts", "action": "create", "from_node": []}], "mul": [{"name": "d", "target": "<built-in function mul>", "graph_id": 140502189412416, "pass_name": "Interpreter_PropagateUnbackedSymInts", "action": "create", "from_node": []}], "addmm_1": [{"name": "y", "target": "<built-in method addmm of type object at 0x559f8f1a9758>", "graph_id": 140502189412416, "pass_name": "Interpreter_PropagateUnbackedSymInts", "action": "create", "from_node": []}], "mul_1": [{"name": "z", "target": "<built-in function gelu>", "graph_id": 140502189412416, "pass_name": "Interpreter_PropagateUnbackedSymInts", "action": "create", "from_node": []}], "mul_2": [{"name": "z", "target": "<built-in function gelu>", "graph_id": 140502189412416, "pass_name": "Interpreter_PropagateUnbackedSymInts", "action": "create", "from_node": []}], "erf": [{"name": "z", "target": "<built-in function gelu>", "graph_id": 140502189412416, "pass_name": "Interpreter_PropagateUnbackedSymInts", "action": "create", "from_node": []}], "add": [{"name": "z", "target": "<built-in function gelu>", "graph_id": 140502189412416, "pass_name": "Interpreter_PropagateUnbackedSymInts", "action": "create", "from_node": []}], "mul_3": [{"name": "z", "target": "<built-in function gelu>", "graph_id": 140502189412416, "pass_name": "Interpreter_PropagateUnbackedSymInts", "action": "create", "from_node": []}]}
V0521 11:47:46.041000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "128effda72c58bd12ee0309cae7974ec"}
	{
	"name": "GraphLowering.run",
	"ts": 1747853266041241.5,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:46.222000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "e13a84d0c5c9eb8744403f29bbaaa5f7"}
	{
	"name": "GraphLowering.run",
	"ts": 1747853266221912.8,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:46.224000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "28ae23122a82a18811a7c2b12c84f13d"}
	{
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	"ts": 1747853266224899.8,
	"args": {
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	"ph": "B",
	"cat": "dynamo_timed",
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V0521 11:47:46.226000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "072171e8709ed635430f61c671af3641"}
	{
	"name": "code_gen",
	"ts": 1747853266226852.0,
	"args": {
	"fn_name": "GraphLowering.compile_to_module",
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
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	"pid": 0
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V0521 11:47:46.229000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "0b2434e8c8765e3ecc512c98f5aa0710"}
	{
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	"ts": 1747853266229142.0,
	"args": {
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V0521 11:47:46.235000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "a22ce3e378ae2d5d3f8ba744de5510b5"}
	{
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	"ts": 1747853266235763.2,
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	"cat": "dynamo_timed",
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V0521 11:47:46.320000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "8b33d678e577bd3877f00a973c2b4b75"}
	{
	"name": "Scheduler.fused_nodes",
	"ts": 1747853266320076.2,
	"args": {
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	"ph": "B",
	"cat": "dynamo_timed",
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V0521 11:47:46.326000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "e7edb2176a41ca50ba0b67b4da678a20"}
	{
	"name": "Scheduler.fused_nodes",
	"ts": 1747853266326847.8,
	"args": {
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	"ph": "E",
	"cat": "dynamo_timed",
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V0521 11:47:46.358000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "9b5ab03a5f9f44e467cb328927017a8d"}
	{
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V0521 11:47:46.362000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "c2532865d34bbe28239fb5b1d3af3b88"}
	{
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V0521 11:47:46.434000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "5b959bd129bf39519473ba35f06f2fee"}
	{
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	"pid": 0
	}
V0521 11:47:46.441000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "fb358bc36eae32f71851e96e1d743c88"}
	{
	"name": "PythonWrapperCodegen.generate",
	"ts": 1747853266441059.0,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:46.448000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "1c6e19b4ffe9c1e0ce5a7815f49adb23"}
	{
	"name": "PythonWrapperCodegen.generate",
	"ts": 1747853266448268.8,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:46.453000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "5cf536ce5186da6c1a36a77b2885013c"}
	{
	"name": "GraphLowering.codegen",
	"ts": 1747853266452945.0,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:46.650000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_inductor/graph.py:2347] {"inductor_output_code": {"filename": "/var/tmp/torchinductor_shangdiy/el/celvaalwlz2ulme27hh3jttevphbo7cueohqpbbvxp4oigd66bqb.py"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "6dbc9db3a98ffda9cc32d6a0850cf479"}
	# AOT ID: ['0_inference']
	from ctypes import c_void_p, c_long, c_int
	import torch
	import math
	import random
	import os
	import tempfile
	from math import inf, nan
	from cmath import nanj
	from torch._inductor.hooks import run_intermediate_hooks
	from torch._inductor.utils import maybe_profile
	from torch._inductor.codegen.memory_planning import _align as align
	from torch import device, empty_strided
	from torch._inductor.async_compile import AsyncCompile
	from torch._inductor.select_algorithm import extern_kernels
	from torch._inductor.codegen.multi_kernel import MultiKernelCall
	
	aten = torch.ops.aten
	inductor_ops = torch.ops.inductor
	_quantized = torch.ops._quantized
	assert_size_stride = torch._C._dynamo.guards.assert_size_stride
	assert_alignment = torch._C._dynamo.guards.assert_alignment
	empty_strided_cpu = torch._C._dynamo.guards._empty_strided_cpu
	empty_strided_cuda = torch._C._dynamo.guards._empty_strided_cuda
	empty_strided_xpu = torch._C._dynamo.guards._empty_strided_xpu
	reinterpret_tensor = torch._C._dynamo.guards._reinterpret_tensor
	alloc_from_pool = torch.ops.inductor._alloc_from_pool
	async_compile = AsyncCompile()
	empty_strided_p2p = torch._C._distributed_c10d._SymmetricMemory.empty_strided_p2p
	
	
	cpp_fused_mul_relu_sigmoid_0 = async_compile.cpp_pybinding(['float*', 'const float*', 'float*'], '''
	#include <torch/csrc/inductor/cpp_prefix.h>
	extern "C"  void kernel(float* in_out_ptr0,
	                       const float* in_ptr0,
	                       float* out_ptr0)
	{
	    {
	        for(int64_t x0=static_cast<int64_t>(0L); x0<static_cast<int64_t>(128L); x0+=static_cast<int64_t>(8L))
	        {
	            {
	                if(C10_LIKELY(x0 >= static_cast<int64_t>(0) && x0 < static_cast<int64_t>(128L)))
	                {
	                    auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + static_cast<int64_t>(x0), static_cast<int64_t>(8));
	                    auto tmp1 = at::vec::clamp_min(tmp0, decltype(tmp0)(0));
	                    auto tmp2 = decltype(tmp1)(1)/(decltype(tmp1)(1) + tmp1.neg().exp());
	                    tmp2.store(in_out_ptr0 + static_cast<int64_t>(x0));
	                }
	            }
	        }
	    }
	    {
	        for(int64_t x0=static_cast<int64_t>(0L); x0<static_cast<int64_t>(200L); x0+=static_cast<int64_t>(8L))
	        {
	            {
	                if(C10_LIKELY(x0 >= static_cast<int64_t>(0) && x0 < static_cast<int64_t>(200L)))
	                {
	                    auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + static_cast<int64_t>(x0), static_cast<int64_t>(8));
	                    auto tmp1 = static_cast<float>(3.14);
	                    auto tmp2 = at::vec::Vectorized<float>(tmp1);
	                    auto tmp3 = tmp0 * tmp2;
	                    tmp3.store(out_ptr0 + static_cast<int64_t>(x0));
	                }
	            }
	        }
	    }
	}
	''')
	
	
	cpp_fused_gelu_1 = async_compile.cpp_pybinding(['float*'], '''
	#include <torch/csrc/inductor/cpp_prefix.h>
	extern "C"  void kernel(float* in_out_ptr0)
	{
	    {
	        for(int64_t x0=static_cast<int64_t>(0L); x0<static_cast<int64_t>(300L); x0+=static_cast<int64_t>(8L))
	        {
	            {
	                if(C10_LIKELY(x0 >= static_cast<int64_t>(0) && x0 < static_cast<int64_t>(296L)))
	                {
	                    auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + static_cast<int64_t>(x0), static_cast<int64_t>(8));
	                    auto tmp1 = static_cast<float>(0.5);
	                    auto tmp2 = at::vec::Vectorized<float>(tmp1);
	                    auto tmp3 = tmp0 * tmp2;
	                    auto tmp4 = static_cast<float>(0.7071067811865476);
	                    auto tmp5 = at::vec::Vectorized<float>(tmp4);
	                    auto tmp6 = tmp0 * tmp5;
	                    auto tmp7 = tmp6.erf();
	                    auto tmp8 = static_cast<float>(1.0);
	                    auto tmp9 = at::vec::Vectorized<float>(tmp8);
	                    auto tmp10 = tmp7 + tmp9;
	                    auto tmp11 = tmp3 * tmp10;
	                    tmp11.store(in_out_ptr0 + static_cast<int64_t>(x0));
	                }
	                if(C10_UNLIKELY(x0 >= static_cast<int64_t>(296L) && x0 < static_cast<int64_t>(300L)))
	                {
	                    auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + static_cast<int64_t>(x0), static_cast<int64_t>(4L));
	                    auto tmp1 = static_cast<float>(0.5);
	                    auto tmp2 = at::vec::Vectorized<float>(tmp1);
	                    auto tmp3 = tmp0 * tmp2;
	                    auto tmp4 = static_cast<float>(0.7071067811865476);
	                    auto tmp5 = at::vec::Vectorized<float>(tmp4);
	                    auto tmp6 = tmp0 * tmp5;
	                    auto tmp7 = tmp6.erf();
	                    auto tmp8 = static_cast<float>(1.0);
	                    auto tmp9 = at::vec::Vectorized<float>(tmp8);
	                    auto tmp10 = tmp7 + tmp9;
	                    auto tmp11 = tmp3 * tmp10;
	                    tmp11.store(in_out_ptr0 + static_cast<int64_t>(x0), static_cast<int64_t>(4L));
	                }
	            }
	        }
	    }
	}
	''')
	
	
	async_compile.wait(globals())
	del async_compile
	
	def call(args):
	    arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1 = args
	    args.clear()
	    assert_size_stride(arg0_1, (16, 10), (10, 1))
	    assert_size_stride(arg1_1, (16, ), (1, ))
	    assert_size_stride(arg2_1, (8, 10), (10, 1))
	    assert_size_stride(arg3_1, (10, 20), (20, 1))
	    assert_size_stride(arg4_1, (20, 30), (30, 1))
	    assert_size_stride(arg5_1, (10, 30), (30, 1))
	    buf0 = empty_strided_cpu((8, 16), (16, 1), torch.float32)
	    # Topologically Sorted Source Nodes: [x], Original ATen: [aten.addmm]
	    extern_kernels.addmm(arg1_1, arg2_1, reinterpret_tensor(arg0_1, (10, 16), (1, 10), 0), alpha=1, beta=1, out=buf0)
	    del arg0_1
	    del arg1_1
	    del arg2_1
	    buf1 = buf0; del buf0  # reuse
	    buf2 = empty_strided_cpu((10, 20), (20, 1), torch.float32)
	    cpp_fused_mul_relu_sigmoid_0(buf1, arg3_1, buf2)
	    del arg3_1
	    buf3 = empty_strided_cpu((10, 30), (30, 1), torch.float32)
	    # Topologically Sorted Source Nodes: [d, y], Original ATen: [aten.mul, aten.addmm]
	    extern_kernels.addmm(arg5_1, buf2, arg4_1, alpha=1, beta=1, out=buf3)
	    del arg4_1
	    del arg5_1
	    del buf2
	    buf4 = buf3; del buf3  # reuse
	    cpp_fused_gelu_1(buf4)
	    return (buf1, buf4, )
	
	
	def benchmark_compiled_module(times=10, repeat=10):
	    from torch._dynamo.testing import rand_strided
	    from torch._inductor.utils import print_performance
	    arg0_1 = rand_strided((16, 10), (10, 1), device='cpu', dtype=torch.float32)
	    arg1_1 = rand_strided((16, ), (1, ), device='cpu', dtype=torch.float32)
	    arg2_1 = rand_strided((8, 10), (10, 1), device='cpu', dtype=torch.float32)
	    arg3_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
	    arg4_1 = rand_strided((20, 30), (30, 1), device='cpu', dtype=torch.float32)
	    arg5_1 = rand_strided((10, 30), (30, 1), device='cpu', dtype=torch.float32)
	    fn = lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1])
	    return print_performance(fn, times=times, repeat=repeat)
	
	
	if __name__ == "__main__":
	    from torch._inductor.wrapper_benchmark import compiled_module_main
	    compiled_module_main('None', benchmark_compiled_module)
	
V0521 11:47:46.652000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "299d4af40b5e29c1ba573ac3f28502f1"}
	{
	"name": "PyCodeCache.load_by_key_path",
	"ts": 1747853266652752.5,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:46.701000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "has_payload": "8a3258075dd633406e985f86d475b220"}
	{
	"name": "compile_file",
	"ts": 1747853266701352.8,
	"args": {
	"compile_id": "None"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:46.707000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "e20c0e9927121404b786ccc378f468bc"}
	{
	"name": "async_compile.wait",
	"ts": 1747853266707367.5,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:46.708000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "has_payload": "a6212823345d0decffc7e95d2059bd8a"}
	{
	"name": "compile_file",
	"ts": 1747853266707950.8,
	"args": {
	"compile_id": "None"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:50.919000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "has_payload": "9bcc24b988f2277f41cd04562f7dff4e"}
	{
	"name": "compile_file",
	"ts": 1747853270919514.5,
	"args": {
	"compile_id": "None"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:53.923000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "has_payload": "782ff60e5930c47ea9858f125bab317c"}
	{
	"name": "compile_file",
	"ts": 1747853273923170.8,
	"args": {
	"compile_id": "None"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:53.927000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "047b27bcdce2008c60a55081dd3e6abc"}
	{
	"name": "async_compile.wait",
	"ts": 1747853273926993.2,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:53.930000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "0618ce1cd8e1587469ecefdb829b901e"}
	{
	"name": "PyCodeCache.load_by_key_path",
	"ts": 1747853273930767.2,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:53.939000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "31f40d11dd22dd29a6c896f9fc34c547"}
	{
	"name": "code_gen",
	"ts": 1747853273939423.2,
	"args": {
	"fn_name": "GraphLowering.compile_to_module",
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:53.942000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "4c56dd53fa632ca14371ffc50aac7ba4"}
	{
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	"ts": 1747853273942546.2,
	"args": {
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	},
	"ph": "E",
	"cat": "dynamo_timed",
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V0521 11:47:53.946000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "a63c2eb423a093ccdff271c0527c4415"}
	{
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	"ts": 1747853273946610.8,
	"args": {
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V0521 11:47:53.950000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "c852b9c395f5a5203c75db21ffe9a039"}
	{
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	"ts": 1747853273949977.8,
	"args": {
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	"ph": "E",
	"cat": "dynamo_timed",
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V0521 11:47:53.957000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "a0b8a2055dd8fd61c32476245d3f8eb3"}
	{
	"name": "remote_fx_graph_cache_put",
	"ts": 1747853273957364.0,
	"args": {
	"fn_name": "FbRemoteFxGraphCache.put",
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:55.830000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "c36ebc12598eef4588b95fd2afd1826c"}
	{
	"name": "remote_fx_graph_cache_put",
	"ts": 1747853275830481.2,
	"args": {
	"fn_name": "FbRemoteFxGraphCache.put",
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:55.833000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1903] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "cbe7c57d60be3409fb5e613160cfbdd9"}
	{
	"name": "fx_graph_cache_miss",
	"ts": 1747853265855769.0,
	"args": {
	"cache_status_detailed": "full_miss",
	"key": "ffakeskx4327yvtrq63u7bvxwk5msdjg35fwanzyeb6wubqdbbe3",
	"components": [
	"[q6emymqiih222avm4hnlisho3xczxr4xrphl2hdtmsk3rsdkc4c] gm: <lambda>()\n\n\n\ndef forward(self, arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1):\n    permute = torch.ops.aten.permute.default(arg0_1, [1, 0]);  arg0_1 = None\n    addmm = torch.ops.aten.addmm.default(arg1_1, arg2_1, permute);  arg1_1 = arg2_1 = permute = None\n    relu = torch.ops.aten.relu.default(addmm);  addmm = None\n    sigmoid = torch.ops.aten.sigmoid.default(relu);  relu = None\n    mul = torch.ops.aten.mul.Tensor(arg3_1, 3.14);  arg3_1 = None\n    addmm_1 = torch.ops.aten.addmm.default(arg5_1, mul, arg4_1);  arg5_1 = mul = arg4_1 = None\n    mul_1 = torch.ops.aten.mul.Tensor(addmm_1, 0.5)\n    mul_2 = torch.ops.aten.mul.Tensor(addmm_1, 0.7071067811865476);  addmm_1 = None\n    erf = torch.ops.aten.erf.default(mul_2);  mul_2 = None\n    add = torch.ops.aten.add.Tensor(erf, 1);  erf = None\n    mul_3 = torch.ops.aten.mul.Tensor(mul_1, add);  mul_1 = add = None\n    return (sigmoid, mul_3)\n    \n# To see more debug info, please use `graph_module.print_readable()`",
	"[cxjo3klwxtglzxpz3qpphhuariae3vzgw4jl7azlemxcgzhdwmz] example_inputs[0]: TensorMetadata(dtype=torch.float32, shape=torch.Size([16, 10]), stride=(10, 1), device=device(type='cpu'), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)",
	"[2eca7tuphg6byxscx4yw3cib2we5s7qgi7lhcelnbipkpzqcode] example_inputs[1]: TensorMetadata(dtype=torch.float32, shape=torch.Size([16]), stride=(1,), device=device(type='cpu'), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)",
	"[mywn2673ei46yz3nnjeygptjkrhjt7zvxj7ku2mcr6xhoarcwte] example_inputs[2]: TensorMetadata(dtype=torch.float32, shape=torch.Size([8, 10]), stride=(10, 1), device=device(type='cpu'), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)",
	"[jd476fv42jogwg2zkatd6a6qd6tzzwyq2juvbxku6sny7tslwot] example_inputs[3]: TensorMetadata(dtype=torch.float32, shape=torch.Size([10, 20]), stride=(20, 1), device=device(type='cpu'), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)",
	"[qj4folswvgrmqtzhrzbhz6vyhdcclxommbgcu7wcvd5jjqpbhrm] example_inputs[4]: TensorMetadata(dtype=torch.float32, shape=torch.Size([20, 30]), stride=(30, 1), device=device(type='cpu'), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)",
	"[rtezwwg4cdi5okhnr26l6aiql2nlmxcxh2nkbifpelkbk2s6qge] example_inputs[5]: TensorMetadata(dtype=torch.float32, shape=torch.Size([10, 30]), stride=(30, 1), device=device(type='cpu'), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] cache_key_tag: ",
	"[lmglpn4zi7vob56n34r2j2rk7flv5xfgrcvmo7xcpirqsitygqx] fx_kwargs[boxed_forward_device_index]: BoxedDeviceIndex(value=None)",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] fx_kwargs[cpp_wrapper]: False",
	"[xq2hdkbfkbcuye6rgtypayrkhqf4cntij2dsd24rei3lsknakkf] fx_kwargs[cudagraphs]: BoxedBool(value=False)",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] fx_kwargs[extern_node_serializer]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] fx_kwargs[is_backward]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] fx_kwargs[is_inference]: True",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] fx_kwargs[layout_opt]: None",
	"[nnqi2dye4qdwjdgeujlxh7d67y2n67kat5ehf3472pn5avlyqbk] fx_kwargs[static_input_idxs]: [0, 1]",
	"[du4vyrfyozrfxcf6kk6ma7oqwatapifazeelfsawmsiu6gjdtxp] deterministic_algorithms_settings: (False, False, True)",
	"[qiptf2633zubseuei4bkisoq3not35l6lud6p23p4qmcsxiw2uq] cuda_matmul_settings: (False, True, True)",
	"[cstoi4lyakszshalkik3olkmbl7sfgokcywo4pzixd5bepo4gbu] torch_version: <bytes>",
	"[c3z7bmoxyo6gl5hi47v6dc7jwsl55b3asd75nr25uyengi5ah3p] system_info[device]: {'name': 'NVIDIA PG509-210'}",
	"[ne2ccmgamgeejeduydcgqjo66kbb7cei5hndccgttrsebx6un7i] system_info[version]: {'triton': ('ab35e173084953169e018762b8cd631208708463b1fdb4f65e50d318cca3fba4', []), 'cuda': '12.4.0'}",
	"[3jdv22u4z6maaxiimgthbgfsqbp4npaamzh4hsdeoza7boleryv] system_info[hash]: 7a05ab9b94784e13bb9f96c0ea9779148f0b84492d6b4020ce1b393a80ca870d",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[TYPE_CHECKING]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[inplace_padding]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[can_inplace_pad_graph_input]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[enable_auto_functionalized_v2]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[disable_progress]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[verbose_progress]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[fx_graph_cache]: True",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[fx_graph_remote_cache]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[bundle_triton_into_fx_graph_cache]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[non_blocking_remote_cache_write]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[autotune_local_cache]: True",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[autotune_remote_cache]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[bundled_autotune_remote_cache]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_disable_caches]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[unsafe_skip_cache_dynamic_shape_guards]: False",
	"[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[unsafe_marked_cacheable_functions]: {}",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[sleep_sec_TESTING_ONLY]: None",
	"[pikr7bbcoixfzftsazp5ggufhdklj24babfry77bl4nuvyrrcp4] inductor_config[triton_kernel_default_layout_constraint]: needs_fixed_stride_order",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp_wrapper]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp_cache_precompile_headers]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[online_softmax]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[dce]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[static_weight_shapes]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[size_asserts]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[nan_asserts]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[scalar_asserts]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[alignment_asserts]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[pick_loop_orders]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[inplace_buffers]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[allow_buffer_reuse]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[memory_planning]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[use_fast_math]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[bfloat16_atomic_adds_enabled]: True",
	"[x75won4jmsgeb63pcvwr2y4eteyzzdhmf5rv6xhjppie4hx2yu5] inductor_config[memory_pool]: intermediates",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[benchmark_harness]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[epilogue_fusion]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[prologue_fusion]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[epilogue_fusion_first]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[pattern_matcher]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[b2b_gemm_pass]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[joint_custom_pre_pass]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[joint_custom_post_pass]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[pre_grad_custom_pass]: None",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[split_cat_fx_passes]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[efficient_conv_bn_eval_fx_passes]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[is_predispatch]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[group_fusion]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[batch_fusion]: True",
	"[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[pre_grad_fusion_options]: {}",
	"[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[post_grad_fusion_options]: {}",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[reorder_for_locality]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[dynamic_scale_rblock]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_fuse_int_mm_with_mul]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[use_mixed_mm]: True",
	"[zwmmbkdkarexuhbigurz5lfnhx64tht7fznecjkrvznh6rzivbv] inductor_config[fx_passes_numeric_check]: {'pre_grad': False, 'precision': 0.0001, 'num_iterations': 1, 'requires_optimizer': True}",
	"[v2td5s4lnsvyxvaevy4chx6kc5h3mm2axazbgwimqule5zrzao7] inductor_config[mixed_mm_choice]: heuristic",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[reorder_for_compute_comm_overlap]: False",
	"[ssupi7bu3rrhdpg2jyegzncu3kg3nnhklyliqvutaxgs7y7k3dx] inductor_config[reorder_for_compute_comm_overlap_passes]: ['reorder_compute_for_overlap', 'sink_waits', 'raise_comms']",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[reorder_prefetch_limit]: None",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[reorder_for_peak_memory]: True",
	"[lxxtoqhcoepwfokeiibd575gnxo3uzwiv4hmpomlwkpzqz3qzsh] inductor_config[estimate_op_runtime]: default",
	"[yezuzjtg4h3jjur4jwtwiehbyixa7eonq4tqsqmwqve2lvvmrem] inductor_config[intra_node_bw]: 300",
	"[5fxczt3ciyxitdhizb7sfsgn7fhpczcqsngttnt5ot2wyctk7co] inductor_config[inter_node_bw]: 25",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[use_experimental_benchmarker]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[max_autotune]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[max_autotune_pointwise]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[max_autotune_gemm]: False",
	"[j6c55jha5r2sdys2rwq7uqhtleea5dgjcye7nicfgft36v7xfvp] inductor_config[autotune_num_choices_displayed]: 10",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[graph_partition]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[force_same_precision]: True",
	"[2y7luesktjrque3nr7qtxnum2mkbeegzdrsvkm3rvdlhqboajhx] inductor_config[max_autotune_gemm_backends]: ATEN,TRITON,CPP",
	"[uqlsbif4zxd75vt522p52txyuguieipi2lwz5g5awt56lccqk7s] inductor_config[max_autotune_conv_backends]: ATEN,TRITON",
	"[jvchmi66fvqzlemhr5fcqorz5trfdtdalzfagtj2aolmimwqhdq] inductor_config[max_autotune_gemm_search_space]: DEFAULT",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[autotune_fallback_to_aten]: False",
	"[wft6ljqsfr3x4m7fa5zuyb7cwknky4irrxz4bjr6uzr2yiopxqj] inductor_config[unbacked_symint_fallback]: 8192",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[search_autotune_cache]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[save_args]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[autotune_in_subproc]: False",
	"[iglov24t7x5ruci344aer2tm6nqshi4veuw4wxlssxtu46cx76m] inductor_config[max_autotune_subproc_result_timeout_seconds]: 60.0",
	"[zslw6pp37dzmhi5lhweftlhhdttfjade3t5j3y3vfk3ouze7nhw] inductor_config[max_autotune_subproc_graceful_timeout_seconds]: 0.0",
	"[zslw6pp37dzmhi5lhweftlhhdttfjade3t5j3y3vfk3ouze7nhw] inductor_config[max_autotune_subproc_terminate_timeout_seconds]: 0.0",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[autotune_multi_device]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[coordinate_descent_tuning]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[coordinate_descent_check_all_directions]: False",
	"[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[coordinate_descent_search_radius]: 1",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[autoheuristic_collect]: ",
	"[jwbrgxes7vjqumngs5hyj6gn5nytv2whnppnzngvaagfmawhkkd] inductor_config[autoheuristic_use]: mixed_mm",
	"[jvchmi66fvqzlemhr5fcqorz5trfdtdalzfagtj2aolmimwqhdq] inductor_config[autoheuristic_log_path]: DEFAULT",
	"[4p2fdjlvxrcw7c7fvzm5huhtqxnro4kvkx56f7p5zyrxqkwooov] inductor_config[layout_opt_default]: 1",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[layout_optimization]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_layout_optimization]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[keep_output_stride]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[warn_mix_layout]: False",
	"[lkkae3meylaixfif4thncru4hjqeaislawjoghffrbwuscaagei] inductor_config[realize_reads_threshold]: 4",
	"[rr5m5hsocoyodldz7vcvaizdwvm2rt34evmqdxvng7wz3tufvo6] inductor_config[realize_opcount_threshold]: 30",
	"[yttmfmxblgcbsvbokguzowcorrcxz5uunxtcvsbe6nijgcx45he] inductor_config[realize_acc_reads_threshold]: 8",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[fallback_random]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[implicit_fallbacks]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[assume_unaligned_fallback_output]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aggressive_fusion]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug_fusion]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[benchmark_fusion]: False",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[enabled_metric_tables]: ",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[loop_ordering_after_fusion]: False",
	"[j6c55jha5r2sdys2rwq7uqhtleea5dgjcye7nicfgft36v7xfvp] inductor_config[score_fusion_memory_threshold]: 10",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[benchmark_epilogue_fusion]: True",
	"[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[max_epilogue_benchmarked_choices]: 1",
	"[jykiys6ynafs3zdylwa5ggq6j655mxeh42d6mtdi22gffkrmiac] inductor_config[max_fusion_size]: 64",
	"[yttmfmxblgcbsvbokguzowcorrcxz5uunxtcvsbe6nijgcx45he] inductor_config[max_pointwise_cat_inputs]: 8",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_pointwise_cat]: False",
	"[yttmfmxblgcbsvbokguzowcorrcxz5uunxtcvsbe6nijgcx45he] inductor_config[unroll_reductions_threshold]: 8",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[comment_origin]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[conv_1x1_as_mm]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[split_reductions]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[benchmark_kernel]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[constant_and_index_propagation]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[always_keep_tensor_constants]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[assert_indirect_indexing]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[compute_all_bounds]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[combo_kernels]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[benchmark_combo_kernel]: False",
	"[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[combo_kernels_autotune]: 1",
	"[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[combo_kernel_allow_mixed_sizes]: 1",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[combo_kernel_foreach_dynamic_shapes]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[joint_graph_constant_folding]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug_index_asserts]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[emulate_precision_casts]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[is_nightly_or_source]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[developer_warnings]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[optimize_scatter_upon_const_tensor]: True",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[add_pre_grad_passes]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[remove_pre_grad_passes]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[use_static_cuda_launcher]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[strict_static_cuda_launcher]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[global_cache_dir]: None",
	"[j6c55jha5r2sdys2rwq7uqhtleea5dgjcye7nicfgft36v7xfvp] inductor_config[kernel_name_max_ops]: 10",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[shape_padding]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[comprehensive_padding]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[pad_channels_last]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[disable_padding_cpu]: True",
	"[ljdqgtysl3vdf7j6attlz5gmjg2ncihnveojfyubosplmkrjgra] inductor_config[padding_alignment_bytes]: 128",
	"[dnnw5ks3yxrp7mwvihb2hh4tqx35ye637xt33x64kw4fvz2nyzg] inductor_config[padding_stride_threshold]: 1024",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[pad_outputs]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[bw_outputs_user_visible]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_shape_pad]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[permute_fusion]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[profiler_mark_wrapper_call]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[generate_intermediate_hooks]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug_ir_traceback]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[profile_bandwidth]: False",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[profile_bandwidth_regex]: ",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[profile_bandwidth_output]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[profile_bandwidth_with_do_bench_using_profiling]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[disable_cpp_codegen]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[freezing]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[freezing_discard_parameters]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[decompose_mem_bound_mm]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[assume_aligned_inputs]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[unsafe_ignore_unsupported_triton_autotune_args]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[check_stack_no_cycles_TESTING_ONLY]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[enable_linear_binary_folding]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[annotate_training]: False",
	"[sz3im5ogc6asp7g4uqocnovype63tkdexzfrniv6hn2oank3biu] inductor_config[cpp.threads]: -1",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.no_redundant_loops]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.dynamic_threads]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.simdlen]: None",
	"[g7rrnbg5yonzux3cfj5ovre5lob3ayda7qcfpxjvtwmiz4uicii] inductor_config[cpp.min_chunk_size]: 4096",
	"[c7zj4qytmety6keurs3hsh5wn7foxp3dqx4kym2ucszzcb2ngrf] inductor_config[cpp.cxx]: (None, 'g++')",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_kernel_profile]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.weight_prepack]: True",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.inject_relu_bug_TESTING_ONLY]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.inject_log1p_bug_TESTING_ONLY]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.vec_isa_ok]: None",
	"[yrty22bseefglnysuoec4ji7j2rnaggdj3g33zzj7avogwfmgdw] inductor_config[cpp.descriptive_names]: original_aten",
	"[ebt2ncs4f5y7dn7btzi76mnouepvzad474tmp5iju4wiuumjl4s] inductor_config[cpp.max_horizontal_fusion_size]: 16",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.fallback_scatter_reduce_sum]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_unsafe_math_opt_flag]: False",
	"[ijs44lspkinjvhcs7uff7n3noc53jvsp4yfljjh22mafhb7khxe] inductor_config[cpp.enable_floating_point_contract_flag]: off",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.enable_tiling_heuristics]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_grouped_gemm_template]: False",
	"[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[cpp.gemm_max_k_slices]: 1",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.gemm_cache_blocking]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.gemm_thread_factors]: None",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.enable_loop_tail_vec]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_concat_linear]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.use_decompose_tanh]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraphs]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.cudagraph_trees]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraph_skip_dynamic_graphs]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.slow_path_cudagraph_asserts]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraph_trees_history_recording]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraph_support_input_mutation]: False",
	"[ljdqgtysl3vdf7j6attlz5gmjg2ncihnveojfyubosplmkrjgra] inductor_config[triton.cudagraph_unexpected_rerecord_limit]: 128",
	"[tuax46wac7rfv2trf5gcps6vleo3cq44lbnrdxtprvo3ljjaddj] inductor_config[triton.cudagraph_dynamic_shape_warn_limit]: 50",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.force_cudagraph_sync]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.force_cudagraphs_warmup]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.fast_path_cudagraph_asserts]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.skip_cudagraph_warmup]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.debug_sync_graph]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.debug_sync_kernel]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.dense_indexing]: False",
	"[pr5nr4a7dthirgd2ljo3d2xakc63ywxugusu6mkmr6gmpeliyib] inductor_config[triton.max_tiles]: 2",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.prefer_nd_tiling]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.autotune_pointwise]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.autotune_cublasLt]: True",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[triton.autotune_at_compile_time]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.autotune_with_sample_inputs]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.tile_reductions]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.tiling_prevents_pointwise_fusion]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.tiling_prevents_reduction_fusion]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.unique_kernel_names]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.unique_user_kernel_names]: False",
	"[yrty22bseefglnysuoec4ji7j2rnaggdj3g33zzj7avogwfmgdw] inductor_config[triton.descriptive_names]: original_aten",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.persistent_reductions]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cooperative_reductions]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.force_cooperative_reductions]: False",
	"[vrl5ktomgtzox5xucd3np6vug3vyj6hwwzahqijuwpmamlv7ohi] inductor_config[triton.multi_kernel]: 0",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.divisible_by_16]: True",
	"[fv6slhtedtydps5s5u2etitscliblzcidyitqf7krsv4e23fzk6] inductor_config[triton.min_split_scan_rblock]: 256",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.store_cubin]: False",
	"[ebt2ncs4f5y7dn7btzi76mnouepvzad474tmp5iju4wiuumjl4s] inductor_config[triton.spill_threshold]: 16",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.use_block_ptr]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[triton.inject_relu_bug_TESTING_ONLY]: None",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.codegen_upcast_to_fp32]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.enable_persistent_tma_matmul]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.skip_l1_cache]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.disallow_failing_autotune_kernels_TESTING_ONLY]: False",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[aot_inductor.output_path]: ",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.debug_compile]: False",
	"[6fxyf5ymh244xdypwkhtsbszab4nnfsgmul2kmyqmw422i5h54e] inductor_config[aot_inductor.compile_wrapper_opt_level]: O1",
	"[ngkkx5e6z7erl6da23zb2cmsctz4yvaqyameyg5hbqln4wrhh7x] inductor_config[aot_inductor.debug_intermediate_value_printer]: 0",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[aot_inductor.filtered_kernel_names]: None",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[aot_inductor.serialized_in_spec]: ",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[aot_inductor.serialized_out_spec]: ",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.use_runtime_constant_folding]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.force_mmap_weights]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.package]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.package_cpp_only]: False",
	"[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[aot_inductor.metadata]: {}",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[aot_inductor.raise_error_on_ignored_optimization]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.dump_aoti_minifier]: False",
	"[pr5nr4a7dthirgd2ljo3d2xakc63ywxugusu6mkmr6gmpeliyib] inductor_config[aot_inductor.repro_level]: 2",
	"[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[aot_inductor.presets]: {}",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.allow_stack_allocation]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.use_minimal_arrayref_interface]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[aot_inductor.package_constants_in_so]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.precompile_headers]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.embed_cubin]: False",
	"[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[aot_inductor.custom_ops_to_c_shims]: {}",
	"[h25wqx6vliw4j5rtzzbv6latydxyei3deyg6v7wzvnzryfktuki] inductor_config[aot_inductor.custom_op_libs]: []",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.arch]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.version]: None",
	"[tvyftmtdmezlejo2xllu7awzv4pzc4vm4fub4b3gpl5jptjkosi] inductor_config[cuda.compile_opt_level]: -O1",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.enable_cuda_lto]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.enable_ptxas_info]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.enable_debug_info]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.use_fast_math]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cutlass_max_profiling_configs]: None",
	"[xaicuyqjstadzph6cgvxowlzizkts6kzmfupsnbyaorxh37cppz] inductor_config[cuda.cutlass_max_profiling_swizzle_options]: [1, 2, 4]",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.cutlass_epilogue_fusion_enabled]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.cutlass_tma_only]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cuda_cxx]: None",
	"[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[cuda.cutlass_backend_min_gemm_size]: 1",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.generate_test_runner]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cutlass_op_allowlist_regex]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cutlass_op_denylist_regex]: None",
	"[ngkkx5e6z7erl6da23zb2cmsctz4yvaqyameyg5hbqln4wrhh7x] inductor_config[cuda.cutlass_instantiation_level]: 0",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cutlass_presets]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.cutlass_hash_with_compile_cmd]: False",
	"[h25wqx6vliw4j5rtzzbv6latydxyei3deyg6v7wzvnzryfktuki] inductor_config[rocm.arch]: []",
	"[3w3j4h2iiu3addwyb5alaeecz3so7teb23hp4d5n3b46w5n73ur] inductor_config[rocm.ck_supported_arch]: ['gfx90a', 'gfx942']",
	"[klfqjprnpfhcdurgvuikvc4rpd5ynkpk77toousr5h3u5roty6p] inductor_config[rocm.compile_opt_level]: -O2",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.is_debug]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.save_temps]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[rocm.use_fast_math]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[rocm.flush_denormals]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.print_kernel_resource_usage]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.rocm_home]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.ck_dir]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.generate_test_runner]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.n_max_profiling_configs]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.use_preselected_instances]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.kBatch_sweep]: None",
	"[ebt2ncs4f5y7dn7btzi76mnouepvzad474tmp5iju4wiuumjl4s] inductor_config[rocm.split_k_threshold]: 16",
	"[bsvfcwwoczx2rlkdz2eta6doujsymyihmi46hhwk6clrrvwcb6m] inductor_config[cpu_backend]: cpp",
	"[caw4ly2z672k6kjfahoxwpajp5idhhtrpgf3ma2clylcp7c7aid] inductor_config[cuda_backend]: triton",
	"[ljhgflgihidopsfsdcbqynv27nceykby3nutyd5jlcpq7n6e7l4] inductor_config[halide.cpu_target]: host",
	"[wx7vmsmrdpk5ue2txlywp3lj3faqmdjphs5fgg2ehzsyno7uovg] inductor_config[halide.gpu_target]: host-cuda",
	"[svgytlua5wcyeia7wq7e6zgh5tsueikrnzchmdmouvmkpfsc2zq] inductor_config[halide.scheduler_cuda]: Anderson2021",
	"[k5ogk6345jvklsnu7g2njqstiz2g6pm5wmqpgg3kasrmuqwjvl6] inductor_config[halide.scheduler_cpu]: Adams2019",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[halide.asserts]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[halide.debug]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[halide.scan_kernels]: False",
	"[h25wqx6vliw4j5rtzzbv6latydxyei3deyg6v7wzvnzryfktuki] inductor_config[external_matmul]: []",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[test_configs.force_extern_kernel_in_multi_template]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[test_configs.max_mm_configs]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[test_configs.runtime_triton_dtype_assert]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[test_configs.static_cpp_dtype_assert]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[test_configs.autotune_choice_name_regex]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[test_configs.autotune_choice_desc_regex]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[test_configs.graphsafe_rng_func_ignores_fallback_random]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] post_grad_custom_pre_pass: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] post_grad_custom_post_pass: None"
	],
	"cache_event_time": 1747853265938834311,
	"cache_state": "miss",
	"triton_bundler_meta": "TritonBundlerMetadata(cached_kernel_names=[], statically_launched_kernel_names=[])",
	"time_taken_ns": 8090730001,
	"compile_id": "0/0"
	},
	"ph": "i",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0,
	"s": "p"
	}
V0521 11:47:55.835000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_inductor/compile_fx.py:947] {"artifact": {"name": "fx_graph_cache_miss", "encoding": "json"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "dff5d0915bbd437777d0b211a202e5f4"}
	{"cache_status_detailed": "full_miss", "key": "ffakeskx4327yvtrq63u7bvxwk5msdjg35fwanzyeb6wubqdbbe3", "components": ["[q6emymqiih222avm4hnlisho3xczxr4xrphl2hdtmsk3rsdkc4c] gm: <lambda>()\n\n\n\ndef forward(self, arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1):\n    permute = torch.ops.aten.permute.default(arg0_1, [1, 0]);  arg0_1 = None\n    addmm = torch.ops.aten.addmm.default(arg1_1, arg2_1, permute);  arg1_1 = arg2_1 = permute = None\n    relu = torch.ops.aten.relu.default(addmm);  addmm = None\n    sigmoid = torch.ops.aten.sigmoid.default(relu);  relu = None\n    mul = torch.ops.aten.mul.Tensor(arg3_1, 3.14);  arg3_1 = None\n    addmm_1 = torch.ops.aten.addmm.default(arg5_1, mul, arg4_1);  arg5_1 = mul = arg4_1 = None\n    mul_1 = torch.ops.aten.mul.Tensor(addmm_1, 0.5)\n    mul_2 = torch.ops.aten.mul.Tensor(addmm_1, 0.7071067811865476);  addmm_1 = None\n    erf = torch.ops.aten.erf.default(mul_2);  mul_2 = None\n    add = torch.ops.aten.add.Tensor(erf, 1);  erf = None\n    mul_3 = torch.ops.aten.mul.Tensor(mul_1, add);  mul_1 = add = None\n    return (sigmoid, mul_3)\n    \n# To see more debug info, please use `graph_module.print_readable()`", "[cxjo3klwxtglzxpz3qpphhuariae3vzgw4jl7azlemxcgzhdwmz] example_inputs[0]: TensorMetadata(dtype=torch.float32, shape=torch.Size([16, 10]), stride=(10, 1), device=device(type='cpu'), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)", "[2eca7tuphg6byxscx4yw3cib2we5s7qgi7lhcelnbipkpzqcode] example_inputs[1]: TensorMetadata(dtype=torch.float32, shape=torch.Size([16]), stride=(1,), device=device(type='cpu'), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)", "[mywn2673ei46yz3nnjeygptjkrhjt7zvxj7ku2mcr6xhoarcwte] example_inputs[2]: TensorMetadata(dtype=torch.float32, shape=torch.Size([8, 10]), stride=(10, 1), device=device(type='cpu'), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)", "[jd476fv42jogwg2zkatd6a6qd6tzzwyq2juvbxku6sny7tslwot] example_inputs[3]: TensorMetadata(dtype=torch.float32, shape=torch.Size([10, 20]), stride=(20, 1), device=device(type='cpu'), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)", "[qj4folswvgrmqtzhrzbhz6vyhdcclxommbgcu7wcvd5jjqpbhrm] example_inputs[4]: TensorMetadata(dtype=torch.float32, shape=torch.Size([20, 30]), stride=(30, 1), device=device(type='cpu'), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)", "[rtezwwg4cdi5okhnr26l6aiql2nlmxcxh2nkbifpelkbk2s6qge] example_inputs[5]: TensorMetadata(dtype=torch.float32, shape=torch.Size([10, 30]), stride=(30, 1), device=device(type='cpu'), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)", "[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] cache_key_tag: ", "[lmglpn4zi7vob56n34r2j2rk7flv5xfgrcvmo7xcpirqsitygqx] fx_kwargs[boxed_forward_device_index]: BoxedDeviceIndex(value=None)", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] fx_kwargs[cpp_wrapper]: False", "[xq2hdkbfkbcuye6rgtypayrkhqf4cntij2dsd24rei3lsknakkf] fx_kwargs[cudagraphs]: BoxedBool(value=False)", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] fx_kwargs[extern_node_serializer]: None", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] fx_kwargs[is_backward]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] fx_kwargs[is_inference]: True", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] fx_kwargs[layout_opt]: None", "[nnqi2dye4qdwjdgeujlxh7d67y2n67kat5ehf3472pn5avlyqbk] fx_kwargs[static_input_idxs]: [0, 1]", "[du4vyrfyozrfxcf6kk6ma7oqwatapifazeelfsawmsiu6gjdtxp] deterministic_algorithms_settings: (False, False, True)", "[qiptf2633zubseuei4bkisoq3not35l6lud6p23p4qmcsxiw2uq] cuda_matmul_settings: (False, True, True)", "[cstoi4lyakszshalkik3olkmbl7sfgokcywo4pzixd5bepo4gbu] torch_version: <bytes>", "[c3z7bmoxyo6gl5hi47v6dc7jwsl55b3asd75nr25uyengi5ah3p] system_info[device]: {'name': 'NVIDIA PG509-210'}", "[ne2ccmgamgeejeduydcgqjo66kbb7cei5hndccgttrsebx6un7i] system_info[version]: {'triton': ('ab35e173084953169e018762b8cd631208708463b1fdb4f65e50d318cca3fba4', []), 'cuda': '12.4.0'}", "[3jdv22u4z6maaxiimgthbgfsqbp4npaamzh4hsdeoza7boleryv] system_info[hash]: 7a05ab9b94784e13bb9f96c0ea9779148f0b84492d6b4020ce1b393a80ca870d", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[TYPE_CHECKING]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[inplace_padding]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[can_inplace_pad_graph_input]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[enable_auto_functionalized_v2]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[disable_progress]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[verbose_progress]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[fx_graph_cache]: True", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[fx_graph_remote_cache]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[bundle_triton_into_fx_graph_cache]: None", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[non_blocking_remote_cache_write]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[autotune_local_cache]: True", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[autotune_remote_cache]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[bundled_autotune_remote_cache]: None", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_disable_caches]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[unsafe_skip_cache_dynamic_shape_guards]: False", "[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[unsafe_marked_cacheable_functions]: {}", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[sleep_sec_TESTING_ONLY]: None", "[pikr7bbcoixfzftsazp5ggufhdklj24babfry77bl4nuvyrrcp4] inductor_config[triton_kernel_default_layout_constraint]: needs_fixed_stride_order", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp_wrapper]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp_cache_precompile_headers]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[online_softmax]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[dce]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[static_weight_shapes]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[size_asserts]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[nan_asserts]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[scalar_asserts]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[alignment_asserts]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[pick_loop_orders]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[inplace_buffers]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[allow_buffer_reuse]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[memory_planning]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[use_fast_math]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[bfloat16_atomic_adds_enabled]: True", "[x75won4jmsgeb63pcvwr2y4eteyzzdhmf5rv6xhjppie4hx2yu5] inductor_config[memory_pool]: intermediates", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[benchmark_harness]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[epilogue_fusion]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[prologue_fusion]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[epilogue_fusion_first]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[pattern_matcher]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[b2b_gemm_pass]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[joint_custom_pre_pass]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[joint_custom_post_pass]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[pre_grad_custom_pass]: None", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[split_cat_fx_passes]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[efficient_conv_bn_eval_fx_passes]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[is_predispatch]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[group_fusion]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[batch_fusion]: True", "[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[pre_grad_fusion_options]: {}", "[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[post_grad_fusion_options]: {}", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[reorder_for_locality]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[dynamic_scale_rblock]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_fuse_int_mm_with_mul]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[use_mixed_mm]: True", "[zwmmbkdkarexuhbigurz5lfnhx64tht7fznecjkrvznh6rzivbv] inductor_config[fx_passes_numeric_check]: {'pre_grad': False, 'precision': 0.0001, 'num_iterations': 1, 'requires_optimizer': True}", "[v2td5s4lnsvyxvaevy4chx6kc5h3mm2axazbgwimqule5zrzao7] inductor_config[mixed_mm_choice]: heuristic", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[reorder_for_compute_comm_overlap]: False", "[ssupi7bu3rrhdpg2jyegzncu3kg3nnhklyliqvutaxgs7y7k3dx] inductor_config[reorder_for_compute_comm_overlap_passes]: ['reorder_compute_for_overlap', 'sink_waits', 'raise_comms']", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[reorder_prefetch_limit]: None", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[reorder_for_peak_memory]: True", "[lxxtoqhcoepwfokeiibd575gnxo3uzwiv4hmpomlwkpzqz3qzsh] inductor_config[estimate_op_runtime]: default", "[yezuzjtg4h3jjur4jwtwiehbyixa7eonq4tqsqmwqve2lvvmrem] inductor_config[intra_node_bw]: 300", "[5fxczt3ciyxitdhizb7sfsgn7fhpczcqsngttnt5ot2wyctk7co] inductor_config[inter_node_bw]: 25", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[use_experimental_benchmarker]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[max_autotune]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[max_autotune_pointwise]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[max_autotune_gemm]: False", "[j6c55jha5r2sdys2rwq7uqhtleea5dgjcye7nicfgft36v7xfvp] inductor_config[autotune_num_choices_displayed]: 10", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[graph_partition]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[force_same_precision]: True", "[2y7luesktjrque3nr7qtxnum2mkbeegzdrsvkm3rvdlhqboajhx] inductor_config[max_autotune_gemm_backends]: ATEN,TRITON,CPP", "[uqlsbif4zxd75vt522p52txyuguieipi2lwz5g5awt56lccqk7s] inductor_config[max_autotune_conv_backends]: ATEN,TRITON", "[jvchmi66fvqzlemhr5fcqorz5trfdtdalzfagtj2aolmimwqhdq] inductor_config[max_autotune_gemm_search_space]: DEFAULT", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[autotune_fallback_to_aten]: False", "[wft6ljqsfr3x4m7fa5zuyb7cwknky4irrxz4bjr6uzr2yiopxqj] inductor_config[unbacked_symint_fallback]: 8192", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[search_autotune_cache]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[save_args]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[autotune_in_subproc]: False", "[iglov24t7x5ruci344aer2tm6nqshi4veuw4wxlssxtu46cx76m] inductor_config[max_autotune_subproc_result_timeout_seconds]: 60.0", "[zslw6pp37dzmhi5lhweftlhhdttfjade3t5j3y3vfk3ouze7nhw] inductor_config[max_autotune_subproc_graceful_timeout_seconds]: 0.0", "[zslw6pp37dzmhi5lhweftlhhdttfjade3t5j3y3vfk3ouze7nhw] inductor_config[max_autotune_subproc_terminate_timeout_seconds]: 0.0", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[autotune_multi_device]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[coordinate_descent_tuning]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[coordinate_descent_check_all_directions]: False", "[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[coordinate_descent_search_radius]: 1", "[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[autoheuristic_collect]: ", "[jwbrgxes7vjqumngs5hyj6gn5nytv2whnppnzngvaagfmawhkkd] inductor_config[autoheuristic_use]: mixed_mm", "[jvchmi66fvqzlemhr5fcqorz5trfdtdalzfagtj2aolmimwqhdq] inductor_config[autoheuristic_log_path]: DEFAULT", "[4p2fdjlvxrcw7c7fvzm5huhtqxnro4kvkx56f7p5zyrxqkwooov] inductor_config[layout_opt_default]: 1", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[layout_optimization]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_layout_optimization]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[keep_output_stride]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[warn_mix_layout]: False", "[lkkae3meylaixfif4thncru4hjqeaislawjoghffrbwuscaagei] inductor_config[realize_reads_threshold]: 4", "[rr5m5hsocoyodldz7vcvaizdwvm2rt34evmqdxvng7wz3tufvo6] inductor_config[realize_opcount_threshold]: 30", "[yttmfmxblgcbsvbokguzowcorrcxz5uunxtcvsbe6nijgcx45he] inductor_config[realize_acc_reads_threshold]: 8", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[fallback_random]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[implicit_fallbacks]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[assume_unaligned_fallback_output]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aggressive_fusion]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug_fusion]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[benchmark_fusion]: False", "[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[enabled_metric_tables]: ", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[loop_ordering_after_fusion]: False", "[j6c55jha5r2sdys2rwq7uqhtleea5dgjcye7nicfgft36v7xfvp] inductor_config[score_fusion_memory_threshold]: 10", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[benchmark_epilogue_fusion]: True", "[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[max_epilogue_benchmarked_choices]: 1", "[jykiys6ynafs3zdylwa5ggq6j655mxeh42d6mtdi22gffkrmiac] inductor_config[max_fusion_size]: 64", "[yttmfmxblgcbsvbokguzowcorrcxz5uunxtcvsbe6nijgcx45he] inductor_config[max_pointwise_cat_inputs]: 8", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_pointwise_cat]: False", "[yttmfmxblgcbsvbokguzowcorrcxz5uunxtcvsbe6nijgcx45he] inductor_config[unroll_reductions_threshold]: 8", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[comment_origin]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[conv_1x1_as_mm]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[split_reductions]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[benchmark_kernel]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[constant_and_index_propagation]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[always_keep_tensor_constants]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[assert_indirect_indexing]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[compute_all_bounds]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[combo_kernels]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[benchmark_combo_kernel]: False", "[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[combo_kernels_autotune]: 1", "[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[combo_kernel_allow_mixed_sizes]: 1", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[combo_kernel_foreach_dynamic_shapes]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[joint_graph_constant_folding]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug_index_asserts]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[emulate_precision_casts]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[is_nightly_or_source]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[developer_warnings]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[optimize_scatter_upon_const_tensor]: True", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[add_pre_grad_passes]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[remove_pre_grad_passes]: None", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[use_static_cuda_launcher]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[strict_static_cuda_launcher]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[global_cache_dir]: None", "[j6c55jha5r2sdys2rwq7uqhtleea5dgjcye7nicfgft36v7xfvp] inductor_config[kernel_name_max_ops]: 10", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[shape_padding]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[comprehensive_padding]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[pad_channels_last]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[disable_padding_cpu]: True", "[ljdqgtysl3vdf7j6attlz5gmjg2ncihnveojfyubosplmkrjgra] inductor_config[padding_alignment_bytes]: 128", "[dnnw5ks3yxrp7mwvihb2hh4tqx35ye637xt33x64kw4fvz2nyzg] inductor_config[padding_stride_threshold]: 1024", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[pad_outputs]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[bw_outputs_user_visible]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_shape_pad]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[permute_fusion]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[profiler_mark_wrapper_call]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[generate_intermediate_hooks]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug_ir_traceback]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[profile_bandwidth]: False", "[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[profile_bandwidth_regex]: ", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[profile_bandwidth_output]: None", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[profile_bandwidth_with_do_bench_using_profiling]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[disable_cpp_codegen]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[freezing]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[freezing_discard_parameters]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[decompose_mem_bound_mm]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[assume_aligned_inputs]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[unsafe_ignore_unsupported_triton_autotune_args]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[check_stack_no_cycles_TESTING_ONLY]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[enable_linear_binary_folding]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[annotate_training]: False", "[sz3im5ogc6asp7g4uqocnovype63tkdexzfrniv6hn2oank3biu] inductor_config[cpp.threads]: -1", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.no_redundant_loops]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.dynamic_threads]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.simdlen]: None", "[g7rrnbg5yonzux3cfj5ovre5lob3ayda7qcfpxjvtwmiz4uicii] inductor_config[cpp.min_chunk_size]: 4096", "[c7zj4qytmety6keurs3hsh5wn7foxp3dqx4kym2ucszzcb2ngrf] inductor_config[cpp.cxx]: (None, 'g++')", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_kernel_profile]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.weight_prepack]: True", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.inject_relu_bug_TESTING_ONLY]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.inject_log1p_bug_TESTING_ONLY]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.vec_isa_ok]: None", "[yrty22bseefglnysuoec4ji7j2rnaggdj3g33zzj7avogwfmgdw] inductor_config[cpp.descriptive_names]: original_aten", "[ebt2ncs4f5y7dn7btzi76mnouepvzad474tmp5iju4wiuumjl4s] inductor_config[cpp.max_horizontal_fusion_size]: 16", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.fallback_scatter_reduce_sum]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_unsafe_math_opt_flag]: False", "[ijs44lspkinjvhcs7uff7n3noc53jvsp4yfljjh22mafhb7khxe] inductor_config[cpp.enable_floating_point_contract_flag]: off", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.enable_tiling_heuristics]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_grouped_gemm_template]: False", "[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[cpp.gemm_max_k_slices]: 1", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.gemm_cache_blocking]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.gemm_thread_factors]: None", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.enable_loop_tail_vec]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_concat_linear]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.use_decompose_tanh]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraphs]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.cudagraph_trees]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraph_skip_dynamic_graphs]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.slow_path_cudagraph_asserts]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraph_trees_history_recording]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraph_support_input_mutation]: False", "[ljdqgtysl3vdf7j6attlz5gmjg2ncihnveojfyubosplmkrjgra] inductor_config[triton.cudagraph_unexpected_rerecord_limit]: 128", "[tuax46wac7rfv2trf5gcps6vleo3cq44lbnrdxtprvo3ljjaddj] inductor_config[triton.cudagraph_dynamic_shape_warn_limit]: 50", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.force_cudagraph_sync]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.force_cudagraphs_warmup]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.fast_path_cudagraph_asserts]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.skip_cudagraph_warmup]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.debug_sync_graph]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.debug_sync_kernel]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.dense_indexing]: False", "[pr5nr4a7dthirgd2ljo3d2xakc63ywxugusu6mkmr6gmpeliyib] inductor_config[triton.max_tiles]: 2", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.prefer_nd_tiling]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.autotune_pointwise]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.autotune_cublasLt]: True", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[triton.autotune_at_compile_time]: None", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.autotune_with_sample_inputs]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.tile_reductions]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.tiling_prevents_pointwise_fusion]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.tiling_prevents_reduction_fusion]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.unique_kernel_names]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.unique_user_kernel_names]: False", "[yrty22bseefglnysuoec4ji7j2rnaggdj3g33zzj7avogwfmgdw] inductor_config[triton.descriptive_names]: original_aten", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.persistent_reductions]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cooperative_reductions]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.force_cooperative_reductions]: False", "[vrl5ktomgtzox5xucd3np6vug3vyj6hwwzahqijuwpmamlv7ohi] inductor_config[triton.multi_kernel]: 0", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.divisible_by_16]: True", "[fv6slhtedtydps5s5u2etitscliblzcidyitqf7krsv4e23fzk6] inductor_config[triton.min_split_scan_rblock]: 256", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.store_cubin]: False", "[ebt2ncs4f5y7dn7btzi76mnouepvzad474tmp5iju4wiuumjl4s] inductor_config[triton.spill_threshold]: 16", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.use_block_ptr]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[triton.inject_relu_bug_TESTING_ONLY]: None", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.codegen_upcast_to_fp32]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.enable_persistent_tma_matmul]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.skip_l1_cache]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.disallow_failing_autotune_kernels_TESTING_ONLY]: False", "[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[aot_inductor.output_path]: ", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.debug_compile]: False", "[6fxyf5ymh244xdypwkhtsbszab4nnfsgmul2kmyqmw422i5h54e] inductor_config[aot_inductor.compile_wrapper_opt_level]: O1", "[ngkkx5e6z7erl6da23zb2cmsctz4yvaqyameyg5hbqln4wrhh7x] inductor_config[aot_inductor.debug_intermediate_value_printer]: 0", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[aot_inductor.filtered_kernel_names]: None", "[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[aot_inductor.serialized_in_spec]: ", "[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[aot_inductor.serialized_out_spec]: ", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.use_runtime_constant_folding]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.force_mmap_weights]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.package]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.package_cpp_only]: False", "[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[aot_inductor.metadata]: {}", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[aot_inductor.raise_error_on_ignored_optimization]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.dump_aoti_minifier]: False", "[pr5nr4a7dthirgd2ljo3d2xakc63ywxugusu6mkmr6gmpeliyib] inductor_config[aot_inductor.repro_level]: 2", "[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[aot_inductor.presets]: {}", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.allow_stack_allocation]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.use_minimal_arrayref_interface]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[aot_inductor.package_constants_in_so]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.precompile_headers]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.embed_cubin]: False", "[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[aot_inductor.custom_ops_to_c_shims]: {}", "[h25wqx6vliw4j5rtzzbv6latydxyei3deyg6v7wzvnzryfktuki] inductor_config[aot_inductor.custom_op_libs]: []", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.arch]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.version]: None", "[tvyftmtdmezlejo2xllu7awzv4pzc4vm4fub4b3gpl5jptjkosi] inductor_config[cuda.compile_opt_level]: -O1", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.enable_cuda_lto]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.enable_ptxas_info]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.enable_debug_info]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.use_fast_math]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cutlass_max_profiling_configs]: None", "[xaicuyqjstadzph6cgvxowlzizkts6kzmfupsnbyaorxh37cppz] inductor_config[cuda.cutlass_max_profiling_swizzle_options]: [1, 2, 4]", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.cutlass_epilogue_fusion_enabled]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.cutlass_tma_only]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cuda_cxx]: None", "[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[cuda.cutlass_backend_min_gemm_size]: 1", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.generate_test_runner]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cutlass_op_allowlist_regex]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cutlass_op_denylist_regex]: None", "[ngkkx5e6z7erl6da23zb2cmsctz4yvaqyameyg5hbqln4wrhh7x] inductor_config[cuda.cutlass_instantiation_level]: 0", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cutlass_presets]: None", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.cutlass_hash_with_compile_cmd]: False", "[h25wqx6vliw4j5rtzzbv6latydxyei3deyg6v7wzvnzryfktuki] inductor_config[rocm.arch]: []", "[3w3j4h2iiu3addwyb5alaeecz3so7teb23hp4d5n3b46w5n73ur] inductor_config[rocm.ck_supported_arch]: ['gfx90a', 'gfx942']", "[klfqjprnpfhcdurgvuikvc4rpd5ynkpk77toousr5h3u5roty6p] inductor_config[rocm.compile_opt_level]: -O2", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.is_debug]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.save_temps]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[rocm.use_fast_math]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[rocm.flush_denormals]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.print_kernel_resource_usage]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.rocm_home]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.ck_dir]: None", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.generate_test_runner]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.n_max_profiling_configs]: None", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.use_preselected_instances]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.kBatch_sweep]: None", "[ebt2ncs4f5y7dn7btzi76mnouepvzad474tmp5iju4wiuumjl4s] inductor_config[rocm.split_k_threshold]: 16", "[bsvfcwwoczx2rlkdz2eta6doujsymyihmi46hhwk6clrrvwcb6m] inductor_config[cpu_backend]: cpp", "[caw4ly2z672k6kjfahoxwpajp5idhhtrpgf3ma2clylcp7c7aid] inductor_config[cuda_backend]: triton", "[ljhgflgihidopsfsdcbqynv27nceykby3nutyd5jlcpq7n6e7l4] inductor_config[halide.cpu_target]: host", "[wx7vmsmrdpk5ue2txlywp3lj3faqmdjphs5fgg2ehzsyno7uovg] inductor_config[halide.gpu_target]: host-cuda", "[svgytlua5wcyeia7wq7e6zgh5tsueikrnzchmdmouvmkpfsc2zq] inductor_config[halide.scheduler_cuda]: Anderson2021", "[k5ogk6345jvklsnu7g2njqstiz2g6pm5wmqpgg3kasrmuqwjvl6] inductor_config[halide.scheduler_cpu]: Adams2019", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[halide.asserts]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[halide.debug]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[halide.scan_kernels]: False", "[h25wqx6vliw4j5rtzzbv6latydxyei3deyg6v7wzvnzryfktuki] inductor_config[external_matmul]: []", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[test_configs.force_extern_kernel_in_multi_template]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[test_configs.max_mm_configs]: None", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[test_configs.runtime_triton_dtype_assert]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[test_configs.static_cpp_dtype_assert]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[test_configs.autotune_choice_name_regex]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[test_configs.autotune_choice_desc_regex]: None", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[test_configs.graphsafe_rng_func_ignores_fallback_random]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] post_grad_custom_pre_pass: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] post_grad_custom_post_pass: None"], "cache_event_time": 1747853265938834311, "cache_state": "miss", "triton_bundler_meta": "TritonBundlerMetadata(cached_kernel_names=[], statically_launched_kernel_names=[])", "time_taken_ns": 8090730001, "compile_id": "0/0"}
V0521 11:47:55.838000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "5cc058c162b2fef62521a33926934885"}
	{
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	"ts": 1747853275838160.8,
	"args": {
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	"ph": "E",
	"cat": "dynamo_timed",
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V0521 11:47:55.846000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_inductor/compile_fx.py:967] {"artifact": {"name": "inductor_triton_kernel_to_post_grad_nodes", "encoding": "json"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "2f18a350d889228534030b0f5e49d84f"}
	{"cpp_fused_mul_relu_sigmoid_0": ["sigmoid", "relu", "mul"], "cpp_fused_gelu_1": ["mul_3", "mul_1", "add", "erf", "mul_2"], "extern_kernels.addmm": ["addmm", "addmm_1", "mul"]}
V0521 11:47:55.847000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_inductor/compile_fx.py:975] {"artifact": {"name": "inductor_provenance_tracking_node_mappings", "encoding": "json"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "b504244a2dd3ff489067218f6b9df8d6"}
	{"preToPost": {"x": ["permute", "addmm"], "x_1": ["relu"], "x_2": ["sigmoid"], "d": ["mul"], "y": ["addmm_1"], "z": ["mul_1", "mul_2", "erf", "add", "mul_3"]}, "postToPre": {"permute": ["x"], "addmm": ["x"], "relu": ["x_1"], "sigmoid": ["x_2"], "mul": ["d"], "addmm_1": ["y"], "mul_1": ["z"], "mul_2": ["z"], "erf": ["z"], "add": ["z"], "mul_3": ["z"]}, "cppCodeToPost": {"cpp_fused_mul_relu_sigmoid_0": ["sigmoid", "relu", "mul"], "cpp_fused_gelu_1": ["mul_3", "mul_1", "add", "erf", "mul_2"], "extern_kernels.addmm": ["addmm", "addmm_1", "mul"]}, "postToCppCode": {"sigmoid": ["cpp_fused_mul_relu_sigmoid_0"], "relu": ["cpp_fused_mul_relu_sigmoid_0"], "mul": ["cpp_fused_mul_relu_sigmoid_0", "extern_kernels.addmm"], "mul_3": ["cpp_fused_gelu_1"], "mul_1": ["cpp_fused_gelu_1"], "add": ["cpp_fused_gelu_1"], "erf": ["cpp_fused_gelu_1"], "mul_2": ["cpp_fused_gelu_1"], "addmm": ["extern_kernels.addmm"], "addmm_1": ["extern_kernels.addmm"]}}
V0521 11:47:55.862000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "6ff2d1e87a66cb47f0efbf29d3ede5f2"}
	{
	"name": "inductor_compile",
	"ts": 1747853275861349.5,
	"args": {
	"fn_name": "compile_fx_inner",
	"compile_id": "0/0",
	"is_backward": false,
	"cache_state": "miss",
	"cache_event_time": 1747853265855768910,
	"key": "ffakeskx4327yvtrq63u7bvxwk5msdjg35fwanzyeb6wubqdbbe3",
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	"[q6emymqiih222avm4hnlisho3xczxr4xrphl2hdtmsk3rsdkc4c] gm: <lambda>()\n\n\n\ndef forward(self, arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1):\n    permute = torch.ops.aten.permute.default(arg0_1, [1, 0]);  arg0_1 = None\n    addmm = torch.ops.aten.addmm.default(arg1_1, arg2_1, permute);  arg1_1 = arg2_1 = permute = None\n    relu = torch.ops.aten.relu.default(addmm);  addmm = None\n    sigmoid = torch.ops.aten.sigmoid.default(relu);  relu = None\n    mul = torch.ops.aten.mul.Tensor(arg3_1, 3.14);  arg3_1 = None\n    addmm_1 = torch.ops.aten.addmm.default(arg5_1, mul, arg4_1);  arg5_1 = mul = arg4_1 = None\n    mul_1 = torch.ops.aten.mul.Tensor(addmm_1, 0.5)\n    mul_2 = torch.ops.aten.mul.Tensor(addmm_1, 0.7071067811865476);  addmm_1 = None\n    erf = torch.ops.aten.erf.default(mul_2);  mul_2 = None\n    add = torch.ops.aten.add.Tensor(erf, 1);  erf = None\n    mul_3 = torch.ops.aten.mul.Tensor(mul_1, add);  mul_1 = add = None\n    return (sigmoid, mul_3)\n    \n# To see more debug info, please use `graph_module.print_readable()`",
	"[cxjo3klwxtglzxpz3qpphhuariae3vzgw4jl7azlemxcgzhdwmz] example_inputs[0]: TensorMetadata(dtype=torch.float32, shape=torch.Size([16, 10]), stride=(10, 1), device=device(type='cpu'), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)",
	"[2eca7tuphg6byxscx4yw3cib2we5s7qgi7lhcelnbipkpzqcode] example_inputs[1]: TensorMetadata(dtype=torch.float32, shape=torch.Size([16]), stride=(1,), device=device(type='cpu'), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)",
	"[mywn2673ei46yz3nnjeygptjkrhjt7zvxj7ku2mcr6xhoarcwte] example_inputs[2]: TensorMetadata(dtype=torch.float32, shape=torch.Size([8, 10]), stride=(10, 1), device=device(type='cpu'), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)",
	"[jd476fv42jogwg2zkatd6a6qd6tzzwyq2juvbxku6sny7tslwot] example_inputs[3]: TensorMetadata(dtype=torch.float32, shape=torch.Size([10, 20]), stride=(20, 1), device=device(type='cpu'), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)",
	"[qj4folswvgrmqtzhrzbhz6vyhdcclxommbgcu7wcvd5jjqpbhrm] example_inputs[4]: TensorMetadata(dtype=torch.float32, shape=torch.Size([20, 30]), stride=(30, 1), device=device(type='cpu'), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)",
	"[rtezwwg4cdi5okhnr26l6aiql2nlmxcxh2nkbifpelkbk2s6qge] example_inputs[5]: TensorMetadata(dtype=torch.float32, shape=torch.Size([10, 30]), stride=(30, 1), device=device(type='cpu'), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] cache_key_tag: ",
	"[lmglpn4zi7vob56n34r2j2rk7flv5xfgrcvmo7xcpirqsitygqx] fx_kwargs[boxed_forward_device_index]: BoxedDeviceIndex(value=None)",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] fx_kwargs[cpp_wrapper]: False",
	"[xq2hdkbfkbcuye6rgtypayrkhqf4cntij2dsd24rei3lsknakkf] fx_kwargs[cudagraphs]: BoxedBool(value=False)",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] fx_kwargs[extern_node_serializer]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] fx_kwargs[is_backward]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] fx_kwargs[is_inference]: True",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] fx_kwargs[layout_opt]: None",
	"[nnqi2dye4qdwjdgeujlxh7d67y2n67kat5ehf3472pn5avlyqbk] fx_kwargs[static_input_idxs]: [0, 1]",
	"[du4vyrfyozrfxcf6kk6ma7oqwatapifazeelfsawmsiu6gjdtxp] deterministic_algorithms_settings: (False, False, True)",
	"[qiptf2633zubseuei4bkisoq3not35l6lud6p23p4qmcsxiw2uq] cuda_matmul_settings: (False, True, True)",
	"[cstoi4lyakszshalkik3olkmbl7sfgokcywo4pzixd5bepo4gbu] torch_version: <bytes>",
	"[c3z7bmoxyo6gl5hi47v6dc7jwsl55b3asd75nr25uyengi5ah3p] system_info[device]: {'name': 'NVIDIA PG509-210'}",
	"[ne2ccmgamgeejeduydcgqjo66kbb7cei5hndccgttrsebx6un7i] system_info[version]: {'triton': ('ab35e173084953169e018762b8cd631208708463b1fdb4f65e50d318cca3fba4', []), 'cuda': '12.4.0'}",
	"[3jdv22u4z6maaxiimgthbgfsqbp4npaamzh4hsdeoza7boleryv] system_info[hash]: 7a05ab9b94784e13bb9f96c0ea9779148f0b84492d6b4020ce1b393a80ca870d",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[TYPE_CHECKING]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[inplace_padding]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[can_inplace_pad_graph_input]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[enable_auto_functionalized_v2]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[disable_progress]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[verbose_progress]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[fx_graph_cache]: True",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[fx_graph_remote_cache]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[bundle_triton_into_fx_graph_cache]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[non_blocking_remote_cache_write]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[autotune_local_cache]: True",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[autotune_remote_cache]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[bundled_autotune_remote_cache]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_disable_caches]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[unsafe_skip_cache_dynamic_shape_guards]: False",
	"[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[unsafe_marked_cacheable_functions]: {}",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[sleep_sec_TESTING_ONLY]: None",
	"[pikr7bbcoixfzftsazp5ggufhdklj24babfry77bl4nuvyrrcp4] inductor_config[triton_kernel_default_layout_constraint]: needs_fixed_stride_order",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp_wrapper]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp_cache_precompile_headers]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[online_softmax]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[dce]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[static_weight_shapes]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[size_asserts]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[nan_asserts]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[scalar_asserts]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[alignment_asserts]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[pick_loop_orders]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[inplace_buffers]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[allow_buffer_reuse]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[memory_planning]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[use_fast_math]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[bfloat16_atomic_adds_enabled]: True",
	"[x75won4jmsgeb63pcvwr2y4eteyzzdhmf5rv6xhjppie4hx2yu5] inductor_config[memory_pool]: intermediates",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[benchmark_harness]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[epilogue_fusion]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[prologue_fusion]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[epilogue_fusion_first]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[pattern_matcher]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[b2b_gemm_pass]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[joint_custom_pre_pass]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[joint_custom_post_pass]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[pre_grad_custom_pass]: None",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[split_cat_fx_passes]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[efficient_conv_bn_eval_fx_passes]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[is_predispatch]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[group_fusion]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[batch_fusion]: True",
	"[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[pre_grad_fusion_options]: {}",
	"[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[post_grad_fusion_options]: {}",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[reorder_for_locality]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[dynamic_scale_rblock]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_fuse_int_mm_with_mul]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[use_mixed_mm]: True",
	"[zwmmbkdkarexuhbigurz5lfnhx64tht7fznecjkrvznh6rzivbv] inductor_config[fx_passes_numeric_check]: {'pre_grad': False, 'precision': 0.0001, 'num_iterations': 1, 'requires_optimizer': True}",
	"[v2td5s4lnsvyxvaevy4chx6kc5h3mm2axazbgwimqule5zrzao7] inductor_config[mixed_mm_choice]: heuristic",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[reorder_for_compute_comm_overlap]: False",
	"[ssupi7bu3rrhdpg2jyegzncu3kg3nnhklyliqvutaxgs7y7k3dx] inductor_config[reorder_for_compute_comm_overlap_passes]: ['reorder_compute_for_overlap', 'sink_waits', 'raise_comms']",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[reorder_prefetch_limit]: None",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[reorder_for_peak_memory]: True",
	"[lxxtoqhcoepwfokeiibd575gnxo3uzwiv4hmpomlwkpzqz3qzsh] inductor_config[estimate_op_runtime]: default",
	"[yezuzjtg4h3jjur4jwtwiehbyixa7eonq4tqsqmwqve2lvvmrem] inductor_config[intra_node_bw]: 300",
	"[5fxczt3ciyxitdhizb7sfsgn7fhpczcqsngttnt5ot2wyctk7co] inductor_config[inter_node_bw]: 25",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[use_experimental_benchmarker]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[max_autotune]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[max_autotune_pointwise]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[max_autotune_gemm]: False",
	"[j6c55jha5r2sdys2rwq7uqhtleea5dgjcye7nicfgft36v7xfvp] inductor_config[autotune_num_choices_displayed]: 10",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[graph_partition]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[force_same_precision]: True",
	"[2y7luesktjrque3nr7qtxnum2mkbeegzdrsvkm3rvdlhqboajhx] inductor_config[max_autotune_gemm_backends]: ATEN,TRITON,CPP",
	"[uqlsbif4zxd75vt522p52txyuguieipi2lwz5g5awt56lccqk7s] inductor_config[max_autotune_conv_backends]: ATEN,TRITON",
	"[jvchmi66fvqzlemhr5fcqorz5trfdtdalzfagtj2aolmimwqhdq] inductor_config[max_autotune_gemm_search_space]: DEFAULT",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[autotune_fallback_to_aten]: False",
	"[wft6ljqsfr3x4m7fa5zuyb7cwknky4irrxz4bjr6uzr2yiopxqj] inductor_config[unbacked_symint_fallback]: 8192",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[search_autotune_cache]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[save_args]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[autotune_in_subproc]: False",
	"[iglov24t7x5ruci344aer2tm6nqshi4veuw4wxlssxtu46cx76m] inductor_config[max_autotune_subproc_result_timeout_seconds]: 60.0",
	"[zslw6pp37dzmhi5lhweftlhhdttfjade3t5j3y3vfk3ouze7nhw] inductor_config[max_autotune_subproc_graceful_timeout_seconds]: 0.0",
	"[zslw6pp37dzmhi5lhweftlhhdttfjade3t5j3y3vfk3ouze7nhw] inductor_config[max_autotune_subproc_terminate_timeout_seconds]: 0.0",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[autotune_multi_device]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[coordinate_descent_tuning]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[coordinate_descent_check_all_directions]: False",
	"[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[coordinate_descent_search_radius]: 1",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[autoheuristic_collect]: ",
	"[jwbrgxes7vjqumngs5hyj6gn5nytv2whnppnzngvaagfmawhkkd] inductor_config[autoheuristic_use]: mixed_mm",
	"[jvchmi66fvqzlemhr5fcqorz5trfdtdalzfagtj2aolmimwqhdq] inductor_config[autoheuristic_log_path]: DEFAULT",
	"[4p2fdjlvxrcw7c7fvzm5huhtqxnro4kvkx56f7p5zyrxqkwooov] inductor_config[layout_opt_default]: 1",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[layout_optimization]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_layout_optimization]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[keep_output_stride]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[warn_mix_layout]: False",
	"[lkkae3meylaixfif4thncru4hjqeaislawjoghffrbwuscaagei] inductor_config[realize_reads_threshold]: 4",
	"[rr5m5hsocoyodldz7vcvaizdwvm2rt34evmqdxvng7wz3tufvo6] inductor_config[realize_opcount_threshold]: 30",
	"[yttmfmxblgcbsvbokguzowcorrcxz5uunxtcvsbe6nijgcx45he] inductor_config[realize_acc_reads_threshold]: 8",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[fallback_random]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[implicit_fallbacks]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[assume_unaligned_fallback_output]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aggressive_fusion]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug_fusion]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[benchmark_fusion]: False",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[enabled_metric_tables]: ",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[loop_ordering_after_fusion]: False",
	"[j6c55jha5r2sdys2rwq7uqhtleea5dgjcye7nicfgft36v7xfvp] inductor_config[score_fusion_memory_threshold]: 10",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[benchmark_epilogue_fusion]: True",
	"[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[max_epilogue_benchmarked_choices]: 1",
	"[jykiys6ynafs3zdylwa5ggq6j655mxeh42d6mtdi22gffkrmiac] inductor_config[max_fusion_size]: 64",
	"[yttmfmxblgcbsvbokguzowcorrcxz5uunxtcvsbe6nijgcx45he] inductor_config[max_pointwise_cat_inputs]: 8",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_pointwise_cat]: False",
	"[yttmfmxblgcbsvbokguzowcorrcxz5uunxtcvsbe6nijgcx45he] inductor_config[unroll_reductions_threshold]: 8",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[comment_origin]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[conv_1x1_as_mm]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[split_reductions]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[benchmark_kernel]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[constant_and_index_propagation]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[always_keep_tensor_constants]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[assert_indirect_indexing]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[compute_all_bounds]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[combo_kernels]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[benchmark_combo_kernel]: False",
	"[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[combo_kernels_autotune]: 1",
	"[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[combo_kernel_allow_mixed_sizes]: 1",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[combo_kernel_foreach_dynamic_shapes]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[joint_graph_constant_folding]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug_index_asserts]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[emulate_precision_casts]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[is_nightly_or_source]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[developer_warnings]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[optimize_scatter_upon_const_tensor]: True",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[add_pre_grad_passes]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[remove_pre_grad_passes]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[use_static_cuda_launcher]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[strict_static_cuda_launcher]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[global_cache_dir]: None",
	"[j6c55jha5r2sdys2rwq7uqhtleea5dgjcye7nicfgft36v7xfvp] inductor_config[kernel_name_max_ops]: 10",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[shape_padding]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[comprehensive_padding]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[pad_channels_last]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[disable_padding_cpu]: True",
	"[ljdqgtysl3vdf7j6attlz5gmjg2ncihnveojfyubosplmkrjgra] inductor_config[padding_alignment_bytes]: 128",
	"[dnnw5ks3yxrp7mwvihb2hh4tqx35ye637xt33x64kw4fvz2nyzg] inductor_config[padding_stride_threshold]: 1024",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[pad_outputs]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[bw_outputs_user_visible]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_shape_pad]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[permute_fusion]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[profiler_mark_wrapper_call]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[generate_intermediate_hooks]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug_ir_traceback]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[profile_bandwidth]: False",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[profile_bandwidth_regex]: ",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[profile_bandwidth_output]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[profile_bandwidth_with_do_bench_using_profiling]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[disable_cpp_codegen]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[freezing]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[freezing_discard_parameters]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[decompose_mem_bound_mm]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[assume_aligned_inputs]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[unsafe_ignore_unsupported_triton_autotune_args]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[check_stack_no_cycles_TESTING_ONLY]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[enable_linear_binary_folding]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[annotate_training]: False",
	"[sz3im5ogc6asp7g4uqocnovype63tkdexzfrniv6hn2oank3biu] inductor_config[cpp.threads]: -1",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.no_redundant_loops]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.dynamic_threads]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.simdlen]: None",
	"[g7rrnbg5yonzux3cfj5ovre5lob3ayda7qcfpxjvtwmiz4uicii] inductor_config[cpp.min_chunk_size]: 4096",
	"[c7zj4qytmety6keurs3hsh5wn7foxp3dqx4kym2ucszzcb2ngrf] inductor_config[cpp.cxx]: (None, 'g++')",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_kernel_profile]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.weight_prepack]: True",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.inject_relu_bug_TESTING_ONLY]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.inject_log1p_bug_TESTING_ONLY]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.vec_isa_ok]: None",
	"[yrty22bseefglnysuoec4ji7j2rnaggdj3g33zzj7avogwfmgdw] inductor_config[cpp.descriptive_names]: original_aten",
	"[ebt2ncs4f5y7dn7btzi76mnouepvzad474tmp5iju4wiuumjl4s] inductor_config[cpp.max_horizontal_fusion_size]: 16",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.fallback_scatter_reduce_sum]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_unsafe_math_opt_flag]: False",
	"[ijs44lspkinjvhcs7uff7n3noc53jvsp4yfljjh22mafhb7khxe] inductor_config[cpp.enable_floating_point_contract_flag]: off",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.enable_tiling_heuristics]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_grouped_gemm_template]: False",
	"[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[cpp.gemm_max_k_slices]: 1",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.gemm_cache_blocking]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.gemm_thread_factors]: None",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.enable_loop_tail_vec]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_concat_linear]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.use_decompose_tanh]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraphs]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.cudagraph_trees]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraph_skip_dynamic_graphs]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.slow_path_cudagraph_asserts]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraph_trees_history_recording]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraph_support_input_mutation]: False",
	"[ljdqgtysl3vdf7j6attlz5gmjg2ncihnveojfyubosplmkrjgra] inductor_config[triton.cudagraph_unexpected_rerecord_limit]: 128",
	"[tuax46wac7rfv2trf5gcps6vleo3cq44lbnrdxtprvo3ljjaddj] inductor_config[triton.cudagraph_dynamic_shape_warn_limit]: 50",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.force_cudagraph_sync]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.force_cudagraphs_warmup]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.fast_path_cudagraph_asserts]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.skip_cudagraph_warmup]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.debug_sync_graph]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.debug_sync_kernel]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.dense_indexing]: False",
	"[pr5nr4a7dthirgd2ljo3d2xakc63ywxugusu6mkmr6gmpeliyib] inductor_config[triton.max_tiles]: 2",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.prefer_nd_tiling]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.autotune_pointwise]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.autotune_cublasLt]: True",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[triton.autotune_at_compile_time]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.autotune_with_sample_inputs]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.tile_reductions]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.tiling_prevents_pointwise_fusion]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.tiling_prevents_reduction_fusion]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.unique_kernel_names]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.unique_user_kernel_names]: False",
	"[yrty22bseefglnysuoec4ji7j2rnaggdj3g33zzj7avogwfmgdw] inductor_config[triton.descriptive_names]: original_aten",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.persistent_reductions]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cooperative_reductions]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.force_cooperative_reductions]: False",
	"[vrl5ktomgtzox5xucd3np6vug3vyj6hwwzahqijuwpmamlv7ohi] inductor_config[triton.multi_kernel]: 0",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.divisible_by_16]: True",
	"[fv6slhtedtydps5s5u2etitscliblzcidyitqf7krsv4e23fzk6] inductor_config[triton.min_split_scan_rblock]: 256",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.store_cubin]: False",
	"[ebt2ncs4f5y7dn7btzi76mnouepvzad474tmp5iju4wiuumjl4s] inductor_config[triton.spill_threshold]: 16",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.use_block_ptr]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[triton.inject_relu_bug_TESTING_ONLY]: None",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.codegen_upcast_to_fp32]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.enable_persistent_tma_matmul]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.skip_l1_cache]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.disallow_failing_autotune_kernels_TESTING_ONLY]: False",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[aot_inductor.output_path]: ",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.debug_compile]: False",
	"[6fxyf5ymh244xdypwkhtsbszab4nnfsgmul2kmyqmw422i5h54e] inductor_config[aot_inductor.compile_wrapper_opt_level]: O1",
	"[ngkkx5e6z7erl6da23zb2cmsctz4yvaqyameyg5hbqln4wrhh7x] inductor_config[aot_inductor.debug_intermediate_value_printer]: 0",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[aot_inductor.filtered_kernel_names]: None",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[aot_inductor.serialized_in_spec]: ",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[aot_inductor.serialized_out_spec]: ",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.use_runtime_constant_folding]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.force_mmap_weights]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.package]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.package_cpp_only]: False",
	"[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[aot_inductor.metadata]: {}",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[aot_inductor.raise_error_on_ignored_optimization]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.dump_aoti_minifier]: False",
	"[pr5nr4a7dthirgd2ljo3d2xakc63ywxugusu6mkmr6gmpeliyib] inductor_config[aot_inductor.repro_level]: 2",
	"[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[aot_inductor.presets]: {}",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.allow_stack_allocation]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.use_minimal_arrayref_interface]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[aot_inductor.package_constants_in_so]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.precompile_headers]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.embed_cubin]: False",
	"[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[aot_inductor.custom_ops_to_c_shims]: {}",
	"[h25wqx6vliw4j5rtzzbv6latydxyei3deyg6v7wzvnzryfktuki] inductor_config[aot_inductor.custom_op_libs]: []",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.arch]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.version]: None",
	"[tvyftmtdmezlejo2xllu7awzv4pzc4vm4fub4b3gpl5jptjkosi] inductor_config[cuda.compile_opt_level]: -O1",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.enable_cuda_lto]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.enable_ptxas_info]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.enable_debug_info]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.use_fast_math]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cutlass_max_profiling_configs]: None",
	"[xaicuyqjstadzph6cgvxowlzizkts6kzmfupsnbyaorxh37cppz] inductor_config[cuda.cutlass_max_profiling_swizzle_options]: [1, 2, 4]",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.cutlass_epilogue_fusion_enabled]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.cutlass_tma_only]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cuda_cxx]: None",
	"[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[cuda.cutlass_backend_min_gemm_size]: 1",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.generate_test_runner]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cutlass_op_allowlist_regex]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cutlass_op_denylist_regex]: None",
	"[ngkkx5e6z7erl6da23zb2cmsctz4yvaqyameyg5hbqln4wrhh7x] inductor_config[cuda.cutlass_instantiation_level]: 0",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cutlass_presets]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.cutlass_hash_with_compile_cmd]: False",
	"[h25wqx6vliw4j5rtzzbv6latydxyei3deyg6v7wzvnzryfktuki] inductor_config[rocm.arch]: []",
	"[3w3j4h2iiu3addwyb5alaeecz3so7teb23hp4d5n3b46w5n73ur] inductor_config[rocm.ck_supported_arch]: ['gfx90a', 'gfx942']",
	"[klfqjprnpfhcdurgvuikvc4rpd5ynkpk77toousr5h3u5roty6p] inductor_config[rocm.compile_opt_level]: -O2",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.is_debug]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.save_temps]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[rocm.use_fast_math]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[rocm.flush_denormals]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.print_kernel_resource_usage]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.rocm_home]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.ck_dir]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.generate_test_runner]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.n_max_profiling_configs]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.use_preselected_instances]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.kBatch_sweep]: None",
	"[ebt2ncs4f5y7dn7btzi76mnouepvzad474tmp5iju4wiuumjl4s] inductor_config[rocm.split_k_threshold]: 16",
	"[bsvfcwwoczx2rlkdz2eta6doujsymyihmi46hhwk6clrrvwcb6m] inductor_config[cpu_backend]: cpp",
	"[caw4ly2z672k6kjfahoxwpajp5idhhtrpgf3ma2clylcp7c7aid] inductor_config[cuda_backend]: triton",
	"[ljhgflgihidopsfsdcbqynv27nceykby3nutyd5jlcpq7n6e7l4] inductor_config[halide.cpu_target]: host",
	"[wx7vmsmrdpk5ue2txlywp3lj3faqmdjphs5fgg2ehzsyno7uovg] inductor_config[halide.gpu_target]: host-cuda",
	"[svgytlua5wcyeia7wq7e6zgh5tsueikrnzchmdmouvmkpfsc2zq] inductor_config[halide.scheduler_cuda]: Anderson2021",
	"[k5ogk6345jvklsnu7g2njqstiz2g6pm5wmqpgg3kasrmuqwjvl6] inductor_config[halide.scheduler_cpu]: Adams2019",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[halide.asserts]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[halide.debug]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[halide.scan_kernels]: False",
	"[h25wqx6vliw4j5rtzzbv6latydxyei3deyg6v7wzvnzryfktuki] inductor_config[external_matmul]: []",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[test_configs.force_extern_kernel_in_multi_template]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[test_configs.max_mm_configs]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[test_configs.runtime_triton_dtype_assert]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[test_configs.static_cpp_dtype_assert]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[test_configs.autotune_choice_name_regex]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[test_configs.autotune_choice_desc_regex]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[test_configs.graphsafe_rng_func_ignores_fallback_random]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] post_grad_custom_pre_pass: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] post_grad_custom_post_pass: None"
	],
	"cache_bypass_reason": null,
	"remote_cache_enabled": true,
	"local_cache_enabled": true
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:55.865000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "f5046164ae0e102d798b14f3aa324e08"}
	{
	"name": "compile_fx.<locals>.fw_compiler_base",
	"ts": 1747853275865822.2,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:56.112000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "68f04ab8404839fa63130c98580f490e"}
	{
	"name": "create_aot_dispatcher_function",
	"ts": 1747853276112285.0,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:56.115000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_functorch/_aot_autograd/autograd_cache.py:949] {"artifact": {"name": "aotautograd_cache_miss", "encoding": "json"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "8f30228658a69021503dd60bd537059d"}
	{"cache_status_detailed": "full_miss", "key": "aitmlq5orf7uwzy6zv6eawofi5k4hlwuq5buv4zyyhjs5qhdyqai", "cache_state": "miss", "components": ["[kd47kyjl7auuzaciorx6bc3bgfr5vsozfs6tvnsryx7nm4niz4q] aot_config: (0, True, False, False, False, [DictGetItemSource(base=UnspecializedBuiltinNNModuleSource(base=UnspecializedParamBufferSource(base=DictGetItemSource(base=UnspecializedNNModuleSource(base=AttrSource(base=LocalSource(local_name='self', is_input=True, dynamism=None, is_derefed_cell_contents=False), member='_modules')), index='fc1'), member='_parameters')), index='weight'), DictGetItemSource(base=UnspecializedBuiltinNNModuleSource(base=UnspecializedParamBufferSource(base=DictGetItemSource(base=UnspecializedNNModuleSource(base=AttrSource(base=LocalSource(local_name='self', is_input=True, dynamism=None, is_derefed_cell_contents=False), member='_modules')), index='fc1'), member='_parameters')), index='bias'), LocalSource(local_name='x', is_input=True, dynamism=None, is_derefed_cell_contents=False), LocalSource(local_name='a', is_input=True, dynamism=None, is_derefed_cell_contents=False), LocalSource(local_name='b', is_input=True, dynamism=None, is_derefed_cell_contents=False), LocalSource(local_name='c', is_input=True, dynamism=None, is_derefed_cell_contents=False)], True, False)", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] grad_enabled: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] disable_amp: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] deterministic_algorithms: False", "[wdormiekej7xxrgij7qvddloga7zq2dzugbxz3z6o7jhx6vw72f] autograd_config: <bytes>", "[ejfuklv7wpyl4hfvgwe3sgco2lxauiqzjuqnp7nabuqljjgmbh7] gm: GraphModule()\n\n\n\ndef forward(self, L_self_modules_fc1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_fc1_parameters_bias_ : torch.nn.parameter.Parameter, L_x_ : torch.Tensor, L_a_ : torch.Tensor, L_b_ : torch.Tensor, L_c_ : torch.Tensor):\n    l_self_modules_fc1_parameters_weight_ = L_self_modules_fc1_parameters_weight_\n    l_self_modules_fc1_parameters_bias_ = L_self_modules_fc1_parameters_bias_\n    l_x_ = L_x_\n    l_a_ = L_a_\n    l_b_ = L_b_\n    l_c_ = L_c_\n    x = torch._C._nn.linear(l_x_, l_self_modules_fc1_parameters_weight_, l_self_modules_fc1_parameters_bias_);  l_x_ = l_self_modules_fc1_parameters_weight_ = l_self_modules_fc1_parameters_bias_ = None\n    x_1 = torch.nn.functional.relu(x, inplace = False);  x = None\n    x_2 = torch.sigmoid(x_1);  x_1 = None\n    d = l_a_ * 3.14;  l_a_ = None\n    y = torch.addmm(l_c_, d, l_b_);  l_c_ = d = l_b_ = None\n    z = torch._C._nn.gelu(y);  y = None\n    return (x_2, z)\n    \n# To see more debug info, please use `graph_module.print_readable()`", "[ojvzlym26vxwaxq5slbo4uuycixrc4o5fjcq5nap4si2e6q7sob] example_inputs[0]: TensorMetadata(dtype=torch.float32, shape=torch.Size([16, 10]), stride=(10, 1), device=device(type='cpu'), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=True, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)", "[yhvwgafcckjigi2bu5kwqwvvdqm3nv4zwcod24ynoi2poyks7e7] example_inputs[1]: TensorMetadata(dtype=torch.float32, shape=torch.Size([16]), stride=(1,), device=device(type='cpu'), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=True, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)", "[mywn2673ei46yz3nnjeygptjkrhjt7zvxj7ku2mcr6xhoarcwte] example_inputs[2]: TensorMetadata(dtype=torch.float32, shape=torch.Size([8, 10]), stride=(10, 1), device=device(type='cpu'), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)", "[jd476fv42jogwg2zkatd6a6qd6tzzwyq2juvbxku6sny7tslwot] example_inputs[3]: TensorMetadata(dtype=torch.float32, shape=torch.Size([10, 20]), stride=(20, 1), device=device(type='cpu'), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)", "[qj4folswvgrmqtzhrzbhz6vyhdcclxommbgcu7wcvd5jjqpbhrm] example_inputs[4]: TensorMetadata(dtype=torch.float32, shape=torch.Size([20, 30]), stride=(30, 1), device=device(type='cpu'), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)", "[rtezwwg4cdi5okhnr26l6aiql2nlmxcxh2nkbifpelkbk2s6qge] example_inputs[5]: TensorMetadata(dtype=torch.float32, shape=torch.Size([10, 30]), stride=(30, 1), device=device(type='cpu'), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)", "[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] cache_key_tag: ", "[lmglpn4zi7vob56n34r2j2rk7flv5xfgrcvmo7xcpirqsitygqx] fx_kwargs[boxed_forward_device_index]: BoxedDeviceIndex(value=None)", "[xq2hdkbfkbcuye6rgtypayrkhqf4cntij2dsd24rei3lsknakkf] fx_kwargs[cudagraphs]: BoxedBool(value=False)", "[du4vyrfyozrfxcf6kk6ma7oqwatapifazeelfsawmsiu6gjdtxp] deterministic_algorithms_settings: (False, False, True)", "[qiptf2633zubseuei4bkisoq3not35l6lud6p23p4qmcsxiw2uq] cuda_matmul_settings: (False, True, True)", "[cstoi4lyakszshalkik3olkmbl7sfgokcywo4pzixd5bepo4gbu] torch_version: <bytes>", "[c3z7bmoxyo6gl5hi47v6dc7jwsl55b3asd75nr25uyengi5ah3p] system_info[device]: {'name': 'NVIDIA PG509-210'}", "[ne2ccmgamgeejeduydcgqjo66kbb7cei5hndccgttrsebx6un7i] system_info[version]: {'triton': ('ab35e173084953169e018762b8cd631208708463b1fdb4f65e50d318cca3fba4', []), 'cuda': '12.4.0'}", "[3jdv22u4z6maaxiimgthbgfsqbp4npaamzh4hsdeoza7boleryv] system_info[hash]: 7a05ab9b94784e13bb9f96c0ea9779148f0b84492d6b4020ce1b393a80ca870d", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[TYPE_CHECKING]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[inplace_padding]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[can_inplace_pad_graph_input]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[enable_auto_functionalized_v2]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[disable_progress]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[verbose_progress]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[fx_graph_cache]: True", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[fx_graph_remote_cache]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[bundle_triton_into_fx_graph_cache]: None", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[non_blocking_remote_cache_write]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[autotune_local_cache]: True", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[autotune_remote_cache]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[bundled_autotune_remote_cache]: None", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_disable_caches]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[unsafe_skip_cache_dynamic_shape_guards]: False", "[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[unsafe_marked_cacheable_functions]: {}", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[sleep_sec_TESTING_ONLY]: None", "[pikr7bbcoixfzftsazp5ggufhdklj24babfry77bl4nuvyrrcp4] inductor_config[triton_kernel_default_layout_constraint]: needs_fixed_stride_order", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp_wrapper]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp_cache_precompile_headers]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[online_softmax]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[dce]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[static_weight_shapes]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[size_asserts]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[nan_asserts]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[scalar_asserts]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[alignment_asserts]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[pick_loop_orders]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[inplace_buffers]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[allow_buffer_reuse]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[memory_planning]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[use_fast_math]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[bfloat16_atomic_adds_enabled]: True", "[x75won4jmsgeb63pcvwr2y4eteyzzdhmf5rv6xhjppie4hx2yu5] inductor_config[memory_pool]: intermediates", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[benchmark_harness]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[epilogue_fusion]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[prologue_fusion]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[epilogue_fusion_first]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[pattern_matcher]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[b2b_gemm_pass]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[joint_custom_pre_pass]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[joint_custom_post_pass]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[pre_grad_custom_pass]: None", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[split_cat_fx_passes]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[efficient_conv_bn_eval_fx_passes]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[is_predispatch]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[group_fusion]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[batch_fusion]: True", "[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[pre_grad_fusion_options]: {}", "[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[post_grad_fusion_options]: {}", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[reorder_for_locality]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[dynamic_scale_rblock]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_fuse_int_mm_with_mul]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[use_mixed_mm]: True", "[zwmmbkdkarexuhbigurz5lfnhx64tht7fznecjkrvznh6rzivbv] inductor_config[fx_passes_numeric_check]: {'pre_grad': False, 'precision': 0.0001, 'num_iterations': 1, 'requires_optimizer': True}", "[v2td5s4lnsvyxvaevy4chx6kc5h3mm2axazbgwimqule5zrzao7] inductor_config[mixed_mm_choice]: heuristic", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[reorder_for_compute_comm_overlap]: False", "[ssupi7bu3rrhdpg2jyegzncu3kg3nnhklyliqvutaxgs7y7k3dx] inductor_config[reorder_for_compute_comm_overlap_passes]: ['reorder_compute_for_overlap', 'sink_waits', 'raise_comms']", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[reorder_prefetch_limit]: None", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[reorder_for_peak_memory]: True", "[lxxtoqhcoepwfokeiibd575gnxo3uzwiv4hmpomlwkpzqz3qzsh] inductor_config[estimate_op_runtime]: default", "[yezuzjtg4h3jjur4jwtwiehbyixa7eonq4tqsqmwqve2lvvmrem] inductor_config[intra_node_bw]: 300", "[5fxczt3ciyxitdhizb7sfsgn7fhpczcqsngttnt5ot2wyctk7co] inductor_config[inter_node_bw]: 25", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[use_experimental_benchmarker]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[max_autotune]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[max_autotune_pointwise]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[max_autotune_gemm]: False", "[j6c55jha5r2sdys2rwq7uqhtleea5dgjcye7nicfgft36v7xfvp] inductor_config[autotune_num_choices_displayed]: 10", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[graph_partition]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[force_same_precision]: True", "[2y7luesktjrque3nr7qtxnum2mkbeegzdrsvkm3rvdlhqboajhx] inductor_config[max_autotune_gemm_backends]: ATEN,TRITON,CPP", "[uqlsbif4zxd75vt522p52txyuguieipi2lwz5g5awt56lccqk7s] inductor_config[max_autotune_conv_backends]: ATEN,TRITON", "[jvchmi66fvqzlemhr5fcqorz5trfdtdalzfagtj2aolmimwqhdq] inductor_config[max_autotune_gemm_search_space]: DEFAULT", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[autotune_fallback_to_aten]: False", "[wft6ljqsfr3x4m7fa5zuyb7cwknky4irrxz4bjr6uzr2yiopxqj] inductor_config[unbacked_symint_fallback]: 8192", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[search_autotune_cache]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[save_args]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[autotune_in_subproc]: False", "[iglov24t7x5ruci344aer2tm6nqshi4veuw4wxlssxtu46cx76m] inductor_config[max_autotune_subproc_result_timeout_seconds]: 60.0", "[zslw6pp37dzmhi5lhweftlhhdttfjade3t5j3y3vfk3ouze7nhw] inductor_config[max_autotune_subproc_graceful_timeout_seconds]: 0.0", "[zslw6pp37dzmhi5lhweftlhhdttfjade3t5j3y3vfk3ouze7nhw] inductor_config[max_autotune_subproc_terminate_timeout_seconds]: 0.0", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[autotune_multi_device]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[coordinate_descent_tuning]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[coordinate_descent_check_all_directions]: False", "[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[coordinate_descent_search_radius]: 1", "[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[autoheuristic_collect]: ", "[jwbrgxes7vjqumngs5hyj6gn5nytv2whnppnzngvaagfmawhkkd] inductor_config[autoheuristic_use]: mixed_mm", "[jvchmi66fvqzlemhr5fcqorz5trfdtdalzfagtj2aolmimwqhdq] inductor_config[autoheuristic_log_path]: DEFAULT", "[4p2fdjlvxrcw7c7fvzm5huhtqxnro4kvkx56f7p5zyrxqkwooov] inductor_config[layout_opt_default]: 1", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[layout_optimization]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_layout_optimization]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[keep_output_stride]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[warn_mix_layout]: False", "[lkkae3meylaixfif4thncru4hjqeaislawjoghffrbwuscaagei] inductor_config[realize_reads_threshold]: 4", "[rr5m5hsocoyodldz7vcvaizdwvm2rt34evmqdxvng7wz3tufvo6] inductor_config[realize_opcount_threshold]: 30", "[yttmfmxblgcbsvbokguzowcorrcxz5uunxtcvsbe6nijgcx45he] inductor_config[realize_acc_reads_threshold]: 8", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[fallback_random]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[implicit_fallbacks]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[assume_unaligned_fallback_output]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aggressive_fusion]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug_fusion]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[benchmark_fusion]: False", "[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[enabled_metric_tables]: ", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[loop_ordering_after_fusion]: False", "[j6c55jha5r2sdys2rwq7uqhtleea5dgjcye7nicfgft36v7xfvp] inductor_config[score_fusion_memory_threshold]: 10", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[benchmark_epilogue_fusion]: True", "[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[max_epilogue_benchmarked_choices]: 1", "[jykiys6ynafs3zdylwa5ggq6j655mxeh42d6mtdi22gffkrmiac] inductor_config[max_fusion_size]: 64", "[yttmfmxblgcbsvbokguzowcorrcxz5uunxtcvsbe6nijgcx45he] inductor_config[max_pointwise_cat_inputs]: 8", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_pointwise_cat]: False", "[yttmfmxblgcbsvbokguzowcorrcxz5uunxtcvsbe6nijgcx45he] inductor_config[unroll_reductions_threshold]: 8", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[comment_origin]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[conv_1x1_as_mm]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[split_reductions]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[benchmark_kernel]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[constant_and_index_propagation]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[always_keep_tensor_constants]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[assert_indirect_indexing]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[compute_all_bounds]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[combo_kernels]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[benchmark_combo_kernel]: False", "[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[combo_kernels_autotune]: 1", "[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[combo_kernel_allow_mixed_sizes]: 1", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[combo_kernel_foreach_dynamic_shapes]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[joint_graph_constant_folding]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug_index_asserts]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[emulate_precision_casts]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[is_nightly_or_source]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[developer_warnings]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[optimize_scatter_upon_const_tensor]: True", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[add_pre_grad_passes]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[remove_pre_grad_passes]: None", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[use_static_cuda_launcher]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[strict_static_cuda_launcher]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[global_cache_dir]: None", "[j6c55jha5r2sdys2rwq7uqhtleea5dgjcye7nicfgft36v7xfvp] inductor_config[kernel_name_max_ops]: 10", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[shape_padding]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[comprehensive_padding]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[pad_channels_last]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[disable_padding_cpu]: True", "[ljdqgtysl3vdf7j6attlz5gmjg2ncihnveojfyubosplmkrjgra] inductor_config[padding_alignment_bytes]: 128", "[dnnw5ks3yxrp7mwvihb2hh4tqx35ye637xt33x64kw4fvz2nyzg] inductor_config[padding_stride_threshold]: 1024", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[pad_outputs]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[bw_outputs_user_visible]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_shape_pad]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[permute_fusion]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[profiler_mark_wrapper_call]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[generate_intermediate_hooks]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug_ir_traceback]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[profile_bandwidth]: False", "[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[profile_bandwidth_regex]: ", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[profile_bandwidth_output]: None", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[profile_bandwidth_with_do_bench_using_profiling]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[disable_cpp_codegen]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[freezing]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[freezing_discard_parameters]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[decompose_mem_bound_mm]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[assume_aligned_inputs]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[unsafe_ignore_unsupported_triton_autotune_args]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[check_stack_no_cycles_TESTING_ONLY]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[enable_linear_binary_folding]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[annotate_training]: False", "[sz3im5ogc6asp7g4uqocnovype63tkdexzfrniv6hn2oank3biu] inductor_config[cpp.threads]: -1", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.no_redundant_loops]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.dynamic_threads]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.simdlen]: None", "[g7rrnbg5yonzux3cfj5ovre5lob3ayda7qcfpxjvtwmiz4uicii] inductor_config[cpp.min_chunk_size]: 4096", "[c7zj4qytmety6keurs3hsh5wn7foxp3dqx4kym2ucszzcb2ngrf] inductor_config[cpp.cxx]: (None, 'g++')", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_kernel_profile]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.weight_prepack]: True", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.inject_relu_bug_TESTING_ONLY]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.inject_log1p_bug_TESTING_ONLY]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.vec_isa_ok]: None", "[yrty22bseefglnysuoec4ji7j2rnaggdj3g33zzj7avogwfmgdw] inductor_config[cpp.descriptive_names]: original_aten", "[ebt2ncs4f5y7dn7btzi76mnouepvzad474tmp5iju4wiuumjl4s] inductor_config[cpp.max_horizontal_fusion_size]: 16", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.fallback_scatter_reduce_sum]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_unsafe_math_opt_flag]: False", "[ijs44lspkinjvhcs7uff7n3noc53jvsp4yfljjh22mafhb7khxe] inductor_config[cpp.enable_floating_point_contract_flag]: off", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.enable_tiling_heuristics]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_grouped_gemm_template]: False", "[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[cpp.gemm_max_k_slices]: 1", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.gemm_cache_blocking]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.gemm_thread_factors]: None", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.enable_loop_tail_vec]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_concat_linear]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.use_decompose_tanh]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraphs]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.cudagraph_trees]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraph_skip_dynamic_graphs]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.slow_path_cudagraph_asserts]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraph_trees_history_recording]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraph_support_input_mutation]: False", "[ljdqgtysl3vdf7j6attlz5gmjg2ncihnveojfyubosplmkrjgra] inductor_config[triton.cudagraph_unexpected_rerecord_limit]: 128", "[tuax46wac7rfv2trf5gcps6vleo3cq44lbnrdxtprvo3ljjaddj] inductor_config[triton.cudagraph_dynamic_shape_warn_limit]: 50", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.force_cudagraph_sync]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.force_cudagraphs_warmup]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.fast_path_cudagraph_asserts]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.skip_cudagraph_warmup]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.debug_sync_graph]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.debug_sync_kernel]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.dense_indexing]: False", "[pr5nr4a7dthirgd2ljo3d2xakc63ywxugusu6mkmr6gmpeliyib] inductor_config[triton.max_tiles]: 2", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.prefer_nd_tiling]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.autotune_pointwise]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.autotune_cublasLt]: True", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[triton.autotune_at_compile_time]: None", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.autotune_with_sample_inputs]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.tile_reductions]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.tiling_prevents_pointwise_fusion]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.tiling_prevents_reduction_fusion]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.unique_kernel_names]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.unique_user_kernel_names]: False", "[yrty22bseefglnysuoec4ji7j2rnaggdj3g33zzj7avogwfmgdw] inductor_config[triton.descriptive_names]: original_aten", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.persistent_reductions]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cooperative_reductions]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.force_cooperative_reductions]: False", "[vrl5ktomgtzox5xucd3np6vug3vyj6hwwzahqijuwpmamlv7ohi] inductor_config[triton.multi_kernel]: 0", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.divisible_by_16]: True", "[fv6slhtedtydps5s5u2etitscliblzcidyitqf7krsv4e23fzk6] inductor_config[triton.min_split_scan_rblock]: 256", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.store_cubin]: False", "[ebt2ncs4f5y7dn7btzi76mnouepvzad474tmp5iju4wiuumjl4s] inductor_config[triton.spill_threshold]: 16", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.use_block_ptr]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[triton.inject_relu_bug_TESTING_ONLY]: None", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.codegen_upcast_to_fp32]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.enable_persistent_tma_matmul]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.skip_l1_cache]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.disallow_failing_autotune_kernels_TESTING_ONLY]: False", "[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[aot_inductor.output_path]: ", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.debug_compile]: False", "[6fxyf5ymh244xdypwkhtsbszab4nnfsgmul2kmyqmw422i5h54e] inductor_config[aot_inductor.compile_wrapper_opt_level]: O1", "[ngkkx5e6z7erl6da23zb2cmsctz4yvaqyameyg5hbqln4wrhh7x] inductor_config[aot_inductor.debug_intermediate_value_printer]: 0", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[aot_inductor.filtered_kernel_names]: None", "[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[aot_inductor.serialized_in_spec]: ", "[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[aot_inductor.serialized_out_spec]: ", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.use_runtime_constant_folding]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.force_mmap_weights]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.package]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.package_cpp_only]: False", "[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[aot_inductor.metadata]: {}", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[aot_inductor.raise_error_on_ignored_optimization]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.dump_aoti_minifier]: False", "[pr5nr4a7dthirgd2ljo3d2xakc63ywxugusu6mkmr6gmpeliyib] inductor_config[aot_inductor.repro_level]: 2", "[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[aot_inductor.presets]: {}", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.allow_stack_allocation]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.use_minimal_arrayref_interface]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[aot_inductor.package_constants_in_so]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.precompile_headers]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.embed_cubin]: False", "[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[aot_inductor.custom_ops_to_c_shims]: {}", "[h25wqx6vliw4j5rtzzbv6latydxyei3deyg6v7wzvnzryfktuki] inductor_config[aot_inductor.custom_op_libs]: []", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.arch]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.version]: None", "[tvyftmtdmezlejo2xllu7awzv4pzc4vm4fub4b3gpl5jptjkosi] inductor_config[cuda.compile_opt_level]: -O1", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.enable_cuda_lto]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.enable_ptxas_info]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.enable_debug_info]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.use_fast_math]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cutlass_max_profiling_configs]: None", "[xaicuyqjstadzph6cgvxowlzizkts6kzmfupsnbyaorxh37cppz] inductor_config[cuda.cutlass_max_profiling_swizzle_options]: [1, 2, 4]", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.cutlass_epilogue_fusion_enabled]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.cutlass_tma_only]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cuda_cxx]: None", "[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[cuda.cutlass_backend_min_gemm_size]: 1", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.generate_test_runner]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cutlass_op_allowlist_regex]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cutlass_op_denylist_regex]: None", "[ngkkx5e6z7erl6da23zb2cmsctz4yvaqyameyg5hbqln4wrhh7x] inductor_config[cuda.cutlass_instantiation_level]: 0", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cutlass_presets]: None", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.cutlass_hash_with_compile_cmd]: False", "[h25wqx6vliw4j5rtzzbv6latydxyei3deyg6v7wzvnzryfktuki] inductor_config[rocm.arch]: []", "[3w3j4h2iiu3addwyb5alaeecz3so7teb23hp4d5n3b46w5n73ur] inductor_config[rocm.ck_supported_arch]: ['gfx90a', 'gfx942']", "[klfqjprnpfhcdurgvuikvc4rpd5ynkpk77toousr5h3u5roty6p] inductor_config[rocm.compile_opt_level]: -O2", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.is_debug]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.save_temps]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[rocm.use_fast_math]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[rocm.flush_denormals]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.print_kernel_resource_usage]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.rocm_home]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.ck_dir]: None", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.generate_test_runner]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.n_max_profiling_configs]: None", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.use_preselected_instances]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.kBatch_sweep]: None", "[ebt2ncs4f5y7dn7btzi76mnouepvzad474tmp5iju4wiuumjl4s] inductor_config[rocm.split_k_threshold]: 16", "[bsvfcwwoczx2rlkdz2eta6doujsymyihmi46hhwk6clrrvwcb6m] inductor_config[cpu_backend]: cpp", "[caw4ly2z672k6kjfahoxwpajp5idhhtrpgf3ma2clylcp7c7aid] inductor_config[cuda_backend]: triton", "[ljhgflgihidopsfsdcbqynv27nceykby3nutyd5jlcpq7n6e7l4] inductor_config[halide.cpu_target]: host", "[wx7vmsmrdpk5ue2txlywp3lj3faqmdjphs5fgg2ehzsyno7uovg] inductor_config[halide.gpu_target]: host-cuda", "[svgytlua5wcyeia7wq7e6zgh5tsueikrnzchmdmouvmkpfsc2zq] inductor_config[halide.scheduler_cuda]: Anderson2021", "[k5ogk6345jvklsnu7g2njqstiz2g6pm5wmqpgg3kasrmuqwjvl6] inductor_config[halide.scheduler_cpu]: Adams2019", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[halide.asserts]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[halide.debug]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[halide.scan_kernels]: False", "[h25wqx6vliw4j5rtzzbv6latydxyei3deyg6v7wzvnzryfktuki] inductor_config[external_matmul]: []", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[test_configs.force_extern_kernel_in_multi_template]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[test_configs.max_mm_configs]: None", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[test_configs.runtime_triton_dtype_assert]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[test_configs.static_cpp_dtype_assert]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[test_configs.autotune_choice_name_regex]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[test_configs.autotune_choice_desc_regex]: None", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[test_configs.graphsafe_rng_func_ignores_fallback_random]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] post_grad_custom_pre_pass: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] post_grad_custom_post_pass: None"]}
V0521 11:47:56.118000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "b37ea3ba3c73d21b82d56846adb496c1"}
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V0521 11:47:56.123000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "c65869600a0fec2ff976ff66e8183795"}
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V0521 11:47:56.126000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "a33f562b222dd90acc47110bd5af78a3"}
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V0521 11:47:56.141000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/guards.py:2886] {"dynamo_cpp_guards_str": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "32f612327aa4ef80d152cceb3be65d83"}
	
	TREE_GUARD_MANAGER:
	+- RootGuardManager
	| +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:590 in init_ambient_guards
	| +- GLOBAL_STATE: ___check_global_state()
	| +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
	| +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=2)
	| | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10, 20], stride=[20, 1])
	| | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False         
	| | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'], L['c'], L['x'])
	| +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=3)
	| | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[20, 30], stride=[30, 1])
	| | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False         
	| | +- NO_TENSOR_ALIASING
	| +- GuardManager: source=L['c'], accessed_by=FrameLocalsGuardAccessor(key='c', framelocals_idx=4)
	| | +- TENSOR_MATCH: check_tensor(L['c'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10, 30], stride=[30, 1])
	| | +- NO_HASATTR: hasattr(L['c'], '_dynamo_dynamic_indices') == False         
	| | +- NO_TENSOR_ALIASING
	| +- GuardManager: source=L['x'], accessed_by=FrameLocalsGuardAccessor(key='x', framelocals_idx=1)
	| | +- TENSOR_MATCH: check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[8, 10], stride=[10, 1])
	| | +- NO_HASATTR: hasattr(L['x'], '_dynamo_dynamic_indices') == False         
	| | +- NO_TENSOR_ALIASING
	| +- GuardManager: source=L['self'], accessed_by=FrameLocalsGuardAccessor(key='self', framelocals_idx=0)
	| | +- TYPE_MATCH: ___check_type_id(L['self'], 140502517049360)                
	| | +- GuardManager: source=L['self'].__dict__, accessed_by=GetGenericDictGuardAccessor
	| | | +- GuardManager: source=L['self']._modules, accessed_by=DictGetItemGuardAccessor('_modules')
	| | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules, 140504035066608)       
	| | | | +- GuardManager: source=L['self']._modules['fc1'], accessed_by=DictGetItemGuardAccessor('fc1')
	| | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['fc1'], 140502925359120)
	| | | | | +- GuardManager: source=L['self']._modules['fc1'].__dict__, accessed_by=GetGenericDictGuardAccessor
	| | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['fc1'].__dict__)
	| | | | | | +- GuardManager: source=L['self']._modules['fc1']._parameters, accessed_by=DictGetItemGuardAccessor('_parameters')
	| | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['fc1']._parameters, 140504035066608)
	| | | | | | | +- GuardManager: source=L['self']._modules['fc1']._parameters['bias'], accessed_by=DictGetItemGuardAccessor('bias')
	| | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['fc1']._parameters['bias'], Parameter, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[16], stride=[1])
	| | | | | | | +- GuardManager: source=L['self']._modules['fc1']._parameters['weight'], accessed_by=DictGetItemGuardAccessor('weight')
	| | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['fc1']._parameters['weight'], Parameter, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[16, 10], stride=[10, 1])
	| | | | +- GuardManager: source=L['self']._modules['relu'], accessed_by=DictGetItemGuardAccessor('relu')
	| | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['relu'], 140502925391888)
	| | | | | +- GuardManager: source=L['self']._modules['relu'].__dict__, accessed_by=GetGenericDictGuardAccessor
	| | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['relu'].__dict__)
	| | | | | | +- GuardManager: source=L['self']._modules['relu'].inplace, accessed_by=DictGetItemGuardAccessor('inplace')
	| | | | | | | +- FALSE_MATCH: L['self']._modules['relu'].inplace == False                 
	| | | | +- GuardManager: source=L['self']._modules['sigmoid'], accessed_by=DictGetItemGuardAccessor('sigmoid')
	| | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['sigmoid'], 140502925869072)
	| | | | | +- GuardManager: source=L['self']._modules['sigmoid'].__dict__, accessed_by=GetGenericDictGuardAccessor
	| | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['sigmoid'].__dict__)
	| | | +- GuardManager: source=L['self']._parameters, accessed_by=DictGetItemGuardAccessor('_parameters')
	| | | | +- TYPE_MATCH: ___check_type_id(L['self']._parameters, 140504035066608)    
	| +- GuardManager: source=G, accessed_by=GlobalsGuardAccessor
	| | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_linear'], accessed_by=DictGetItemGuardAccessor('__import_torch_dot_nn_dot_modules_dot_linear')
	| | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_linear'], 140502598035760)
	| | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_linear'].F, accessed_by=GetAttrGuardAccessor(F)
	| | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_linear'].F, 140502598036000)
	| | | | +- OBJECT_ALIASING: G['__import_torch_dot_nn_dot_modules_dot_linear'].F is G['__import_torch_dot_nn_dot_modules_dot_activation'].F
	| | | | +- OBJECT_ALIASING: G['__import_torch_dot_nn_dot_modules_dot_linear'].F is G['__import_torch_dot_nn_dot_modules_dot_activation'].torch.nn.functional
	| | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_linear'].F.gelu, accessed_by=GetAttrGuardAccessor(gelu)
	| | | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_linear'].F.gelu, 140502760072560)
	| | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_linear'].F.relu, accessed_by=GetAttrGuardAccessor(relu)
	| | | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_linear'].F.relu, 140502558313024)
	| | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_linear'].F.linear, accessed_by=GetAttrGuardAccessor(linear)
	| | | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_linear'].F.linear, 140502760073680)
	| | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_module'], accessed_by=DictGetItemGuardAccessor('__import_torch_dot_nn_dot_modules_dot_module')
	| | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_module'], 140502661713968)
	| | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_module']._global_forward_hooks, accessed_by=GetAttrGuardAccessor(_global_forward_hooks)
	| | | | +- TYPE_MATCH: ___check_type_id(G['__import_torch_dot_nn_dot_modules_dot_module']._global_forward_hooks, 140504035125968)
	| | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_module']._global_backward_hooks, accessed_by=GetAttrGuardAccessor(_global_backward_hooks)
	| | | | +- TYPE_MATCH: ___check_type_id(G['__import_torch_dot_nn_dot_modules_dot_module']._global_backward_hooks, 140504035125968)
	| | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_module']._global_forward_pre_hooks, accessed_by=GetAttrGuardAccessor(_global_forward_pre_hooks)
	| | | | +- TYPE_MATCH: ___check_type_id(G['__import_torch_dot_nn_dot_modules_dot_module']._global_forward_pre_hooks, 140504035125968)
	| | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_module']._global_backward_pre_hooks, accessed_by=GetAttrGuardAccessor(_global_backward_pre_hooks)
	| | | | +- TYPE_MATCH: ___check_type_id(G['__import_torch_dot_nn_dot_modules_dot_module']._global_backward_pre_hooks, 140504035125968)
	| | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_activation'], accessed_by=DictGetItemGuardAccessor('__import_torch_dot_nn_dot_modules_dot_activation')
	| | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_activation'], 140502558817744)
	| | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_activation'].torch, accessed_by=GetAttrGuardAccessor(torch)
	| | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_activation'].torch, 140502977814480)
	| | | | +- OBJECT_ALIASING: G['__import_torch_dot_nn_dot_modules_dot_activation'].torch is G['torch']
	| | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_activation'].torch.nn, accessed_by=GetAttrGuardAccessor(nn)
	| | | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_activation'].torch.nn, 140502661675536)
	| | | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_activation'].torch.nn.functional, accessed_by=GetAttrGuardAccessor(functional)
	| | | | | | +- OBJECT_ALIASING
	| | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_activation'].torch.addmm, accessed_by=GetAttrGuardAccessor(addmm)
	| | | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_activation'].torch.addmm, 140502834913232)
	| | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_activation'].torch.sigmoid, accessed_by=GetAttrGuardAccessor(sigmoid)
	| | | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_activation'].torch.sigmoid, 140502834909312)
	| | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_activation'].F, accessed_by=GetAttrGuardAccessor(F)
	| | | | +- OBJECT_ALIASING
	| | +- GuardManager: source=G['torch'], accessed_by=DictGetItemGuardAccessor('torch')
	| | | +- OBJECT_ALIASING
	
	Guard latency = 5.14 us
V0521 11:47:56.143000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "94d2bb0276ffcbab54a657a5c3c33e36"}
	{
	"name": "build_guards",
	"ts": 1747853276143395.8,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:56.146000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "405f3e72e72abb2f11276c1d8c8317cd"}
	{
	"name": "gc",
	"ts": 1747853276146506.8,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:56.149000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "c28207229e11185fc27d9af851ecc531"}
	{
	"name": "gc",
	"ts": 1747853276149062.2,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:56.151000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1864] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "3018a6a11cb85e204d3f501b70bbcfe7"}
	{
	"name": "entire_frame_compile",
	"ts": 1747853276151312.2,
	"args": {
	"fn_name": "_compile.compile_inner",
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0521 11:47:56.157000 2962972 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1565] {"compilation_metrics": {"compile_id": "0/0", "frame_key": "1", "co_name": "forward", "co_filename": "/data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/b9ba6d289a870795/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py", "co_firstlineno": 28, "cache_size": 0, "accumulated_cache_size": 0, "guard_count": 53, "shape_env_guard_count": 0, "graph_op_count": 6, "graph_node_count": 13, "graph_input_count": 6, "start_time": 1747853262.608049, "entire_frame_compile_time_s": 13.543227, "backend_compile_time_s": 13.125146, "inductor_compile_time_s": 10.023818, "code_gen_time_s": 7.712571, "fail_type": null, "fail_reason": null, "fail_user_frame_filename": null, "fail_user_frame_lineno": null, "non_compliant_ops": [], "compliant_custom_ops": [], "restart_reasons": [], "dynamo_time_before_restart_s": 0.0, "has_guarded_code": true, "remote_cache_time_saved_s": null, "structured_logging_overhead_s": 0.215143, "config_suppress_errors": false, "config_inline_inbuilt_nn_modules": true, "specialize_float": false, "dynamo_config": "{\"_autograd_backward_strict_mode_conditional_banned_ops\": [\"stride\", \"storage_offset\", \"is_contiguous\"], \"_unsafe_skip_fsdp_module_guards\": false, \"accumulated_recompile_limit\": 256, \"allow_complex_guards_as_runtime_asserts\": false, \"allow_empty_graphs\": false, \"allow_ignore_mark_dynamic\": false, \"allow_rnn\": false, \"allow_unspec_int_on_nn_module\": false, \"allowed_functions_module_string_ignorelist\": [\"torch._decomp\", \"torch._prims\", \"torch._refs\", \"torch.distributions\", \"torch.testing\"], \"assume_static_by_default\": true, \"automatic_dynamic_local_pgo\": true, \"automatic_dynamic_remote_pgo\": null, \"automatic_dynamic_shapes\": true, \"automatic_dynamic_shapes_mark_as\": \"dynamic\", \"capture_autograd_function\": true, \"capture_dynamic_output_shape_ops\": false, \"capture_func_transforms\": true, \"capture_scalar_outputs\": false, \"capture_sparse_compute\": false, \"compiled_autograd\": false, \"compiled_autograd_kwargs_override\": {}, \"cprofile\": false, \"cudagraph_backend_keep_input_mutation\": false, \"cudagraph_backend_support_input_mutation\": false, \"dead_code_elimination\": true, \"disable\": false, \"do_not_emit_runtime_asserts\": false, \"dont_skip_tracing\": false, \"dynamic_shapes\": true, \"enable_compiler_collectives\": false, \"enable_cpp_framelocals_guard_eval\": true, \"enable_cpp_guard_manager\": true, \"enable_cpp_symbolic_shape_guards\": false, \"enable_faithful_generator_behavior\": true, \"enable_trace_contextlib\": true, \"enable_trace_unittest\": false, \"error_on_nested_fx_trace\": true, \"error_on_nested_jit_trace\": true, \"error_on_recompile\": false, \"fail_on_recompile_limit_hit\": false, \"fake_tensor_cache_crosscheck_enabled\": false, \"fake_tensor_cache_enabled\": true, \"fake_tensor_disable_inference_mode\": true, \"force_nn_module_property_static_shapes\": true, \"force_parameter_static_shapes\": true, \"force_unspec_int_unbacked_size_like_on_torchrec_kjt\": false, \"graph_deduplication_lint\": false, \"guard_nn_modules\": true, \"guard_nn_modules_using_dict_tags\": true, \"inline_inbuilt_nn_modules\": true, \"install_free_tensors\": false, \"issue_3_13_0_warning\": true, \"minimum_call_count\": 1, \"numpy_default_complex\": \"complex128\", \"numpy_default_float\": \"float64\", \"numpy_default_int\": \"int64\", \"only_allow_pt2_compliant_ops\": false, \"optimize_ddp\": true, \"optimize_ddp_lazy_compile\": false, \"prefer_deferred_runtime_asserts_over_guards\": false, \"prepare_freezing\": false, \"raise_on_ctx_manager_usage\": true, \"raise_on_unsafe_aot_autograd\": false, \"recompile_limit\": 8, \"record_compile_time_instruction_count\": false, \"replay_record_enabled\": false, \"report_guard_failures\": true, \"rewrite_assert_with_torch_assert\": true, \"run_gc_after_compile\": true, \"skip_code_recursive_on_recompile_limit_hit\": true, \"skip_fsdp_guards\": true, \"skip_fsdp_hooks\": true, \"skip_nnmodule_hook_guards\": true, \"skip_no_tensor_aliasing_guards_on_parameters\": true, \"skip_tensor_guards_with_matching_dict_tags\": true, \"skip_torchrec\": true, \"skipfiles_inline_module_allowlist\": {}, \"specialize_float\": false, \"specialize_int\": false, \"suppress_errors\": false, \"trace_numpy\": true, \"track_nodes_for_deduplication\": false, \"use_graph_deduplication\": false, \"use_lazy_graph_module\": true, \"use_numpy_random_stream\": false, \"verify_correctness\": false, \"wrap_top_frame\": false}", "is_forward": true, "num_triton_bundles": null, "remote_fx_graph_cache_get_time_ms": 60, "remote_fx_graph_cache_put_time_ms": 1873, "start_time_us": 1747853262608049, "duration_us": 13543227, "dynamo_cumulative_compile_time_us": 13543227, "aot_autograd_cumulative_compile_time_us": 13125146, "inductor_cumulative_compile_time_us": 10023818, "inductor_code_gen_cumulative_compile_time_us": 7712571, "triton_compile_time_us": 7219625, "runtime_cudagraphify_time_us": null, "runtime_triton_autotune_time_us": null, "dynamo_compile_time_before_restart_us": 0, "distributed_ephemeral_timeout_us": null, "structured_logging_overhead_us": 215143, "remote_fx_graph_cache_get_time_us": 60741, "remote_fx_graph_cache_put_time_us": 1873117, "backward_cumulative_compile_time_us": null, "end_time_us": 1747853276153167, "pre_grad_pass_time_us": 674901, "post_grad_pass_time_us": 40425, "joint_graph_pass_time_us": 697996, "log_format_version": 3, "inductor_config": "{\"TYPE_CHECKING\": false, \"_cache_config_ignore_prefix\": [\"trace\", \"cuda.cutlass_dir\", \"worker_start_method\", \"compile_threads\", \"post_grad_custom_post_pass\", \"post_grad_custom_pre_pass\", \"always_complex_memory_overlap_TESTING_ONLY\"], \"_collective.auto_select\": false, \"_collective.one_shot_all_reduce_threshold_bytes\": 131072, \"_fuse_ddp_bucket_size\": 25, \"_fuse_ddp_communication\": false, \"_fuse_ddp_communication_passes\": [\"fuse_ddp_with_concat_op\", \"schedule_comm_wait\"], \"_micro_pipeline_tp\": false, \"_pre_fusion_custom_pass\": null, \"_profile_var\": \"\", \"_raise_error_for_testing\": false, \"_save_config_ignore\": [\"trace.upload_tar\", \"joint_custom_pre_pass\", \"joint_custom_post_pass\", \"pre_grad_custom_pass\", \"aot_inductor.repro_level\", \"aot_inductor.dump_aoti_minifier\", \"post_grad_custom_pre_pass\", \"post_grad_custom_post_pass\"], \"add_pre_grad_passes\": null, \"aggressive_fusion\": false, \"alignment_asserts\": false, \"allow_buffer_reuse\": true, \"always_complex_memory_overlap_TESTING_ONLY\": false, \"always_keep_tensor_constants\": false, \"annotate_training\": false, \"aot_inductor.allow_stack_allocation\": false, \"aot_inductor.compile_wrapper_opt_level\": \"O1\", \"aot_inductor.custom_op_libs\": [], 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