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input_variations.md

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High Level Operations Status

Operations Input Variations Converted Removed Fallback Completed Score
0 aten._native_batch_norm_legit_functional.default 22 0 0 0 ✘ 0
1 aten._to_copy.default 11 0 0 0 ✘ 0
2 aten.add.Tensor 8 8 0 0 ✅ 1
3 aten.addmm.default 1 1 0 0 ✅ 1
4 aten.avg_pool2d.default 3 0 0 0 ✘ 0
5 aten.avg_pool2d_backward.default 3 0 0 0 ✘ 0
6 aten.cat.default 9 9 0 0 ✅ 1
7 aten.clone.default 1 1 0 0 ✅ 1
8 aten.convolution.default 38 38 0 0 ✅ 1
9 aten.convolution_backward.default 38 0 0 0 ✘ 0
10 aten.detach.default 22 0 22 0 ✅ 1
11 aten.div.Scalar 1 0 0 0 ✘ 0
12 aten.expand.default 1 0 0 0 ✘ 0
13 aten.max_pool2d_with_indices.default 4 0 0 0 ✘ 0
14 aten.max_pool2d_with_indices_backward.default 4 0 0 0 ✘ 0
15 aten.mean.dim 1 1 0 0 ✅ 1
16 aten.mm.default 2 2 0 0 ✅ 1
17 aten.native_batch_norm_backward.default 22 0 0 0 ✘ 0
18 aten.relu.default 22 22 0 0 ✅ 1
19 aten.slice.Tensor 24 24 0 0 ✅ 1
20 aten.sum.dim_IntList 1 0 0 0 ✘ 0
21 aten.t.default 3 3 0 0 ✅ 1
22 aten.threshold_backward.default 22 0 0 0 ✘ 0
23 aten.view.default 3 3 0 0 ✅ 1

aten._native_batch_norm_legit_functional.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 128, 17, 17]> input = ?,
Optional[Tensor]<[128]> weight = ?,
Optional[Tensor]<[128]> bias = ?,
Tensor<[128]> running_mean = ?,
Tensor<[128]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 0.001		 None Fallback 1 0
1 Tensor<[1, 192, 17, 17]> input = ?,
Optional[Tensor]<[192]> weight = ?,
Optional[Tensor]<[192]> bias = ?,
Tensor<[192]> running_mean = ?,
Tensor<[192]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 0.001		 None Fallback 1 0
2 Tensor<[1, 192, 35, 35]> input = ?,
Optional[Tensor]<[192]> weight = ?,
Optional[Tensor]<[192]> bias = ?,
Tensor<[192]> running_mean = ?,
Tensor<[192]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 0.001		 None Fallback 1 0
3 Tensor<[1, 192, 8, 8]> input = ?,
Optional[Tensor]<[192]> weight = ?,
Optional[Tensor]<[192]> bias = ?,
Tensor<[192]> running_mean = ?,
Tensor<[192]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 0.001		 None Fallback 1 0
4 Tensor<[1, 224, 17, 17]> input = ?,
Optional[Tensor]<[224]> weight = ?,
Optional[Tensor]<[224]> bias = ?,
Tensor<[224]> running_mean = ?,
Tensor<[224]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 0.001		 None Fallback 1 0
5 Tensor<[1, 224, 35, 35]> input = ?,
Optional[Tensor]<[224]> weight = ?,
Optional[Tensor]<[224]> bias = ?,
Tensor<[224]> running_mean = ?,
Tensor<[224]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 0.001		 None Fallback 1 0
6 Tensor<[1, 256, 17, 17]> input = ?,
Optional[Tensor]<[256]> weight = ?,
Optional[Tensor]<[256]> bias = ?,
Tensor<[256]> running_mean = ?,
Tensor<[256]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 0.001		 None Fallback 1 0
7 Tensor<[1, 256, 8, 8]> input = ?,
Optional[Tensor]<[256]> weight = ?,
Optional[Tensor]<[256]> bias = ?,
Tensor<[256]> running_mean = ?,
Tensor<[256]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 0.001		 None Fallback 1 0
8 Tensor<[1, 32, 147, 147]> input = ?,
Optional[Tensor]<[32]> weight = ?,
Optional[Tensor]<[32]> bias = ?,
Tensor<[32]> running_mean = ?,
Tensor<[32]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 0.001		 None Fallback 1 0
9 Tensor<[1, 32, 149, 149]> input = ?,
Optional[Tensor]<[32]> weight = ?,
Optional[Tensor]<[32]> bias = ?,
Tensor<[32]> running_mean = ?,
Tensor<[32]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 0.001		 None Fallback 1 0
10 Tensor<[1, 320, 17, 17]> input = ?,
Optional[Tensor]<[320]> weight = ?,
Optional[Tensor]<[320]> bias = ?,
Tensor<[320]> running_mean = ?,
Tensor<[320]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 0.001		 None Fallback 1 0
11 Tensor<[1, 320, 8, 8]> input = ?,
Optional[Tensor]<[320]> weight = ?,
Optional[Tensor]<[320]> bias = ?,
Tensor<[320]> running_mean = ?,
Tensor<[320]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 0.001		 None Fallback 1 0
12 Tensor<[1, 384, 17, 17]> input = ?,
Optional[Tensor]<[384]> weight = ?,
Optional[Tensor]<[384]> bias = ?,
Tensor<[384]> running_mean = ?,
Tensor<[384]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 0.001		 None Fallback 1 0
13 Tensor<[1, 384, 8, 8]> input = ?,
Optional[Tensor]<[384]> weight = ?,
Optional[Tensor]<[384]> bias = ?,
Tensor<[384]> running_mean = ?,
Tensor<[384]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 0.001		 None Fallback 1 0
14 Tensor<[1, 448, 8, 8]> input = ?,
Optional[Tensor]<[448]> weight = ?,
Optional[Tensor]<[448]> bias = ?,
Tensor<[448]> running_mean = ?,
Tensor<[448]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 0.001		 None Fallback 1 0
15 Tensor<[1, 512, 8, 8]> input = ?,
Optional[Tensor]<[512]> weight = ?,
Optional[Tensor]<[512]> bias = ?,
Tensor<[512]> running_mean = ?,
Tensor<[512]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 0.001		 None Fallback 1 0
16 Tensor<[1, 64, 147, 147]> input = ?,
Optional[Tensor]<[64]> weight = ?,
Optional[Tensor]<[64]> bias = ?,
Tensor<[64]> running_mean = ?,
Tensor<[64]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 0.001		 None Fallback 1 0
17 Tensor<[1, 64, 35, 35]> input = ?,
Optional[Tensor]<[64]> weight = ?,
Optional[Tensor]<[64]> bias = ?,
Tensor<[64]> running_mean = ?,
Tensor<[64]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 0.001		 None Fallback 1 0
18 Tensor<[1, 64, 73, 73]> input = ?,
Optional[Tensor]<[64]> weight = ?,
Optional[Tensor]<[64]> bias = ?,
Tensor<[64]> running_mean = ?,
Tensor<[64]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 0.001		 None Fallback 1 0
19 Tensor<[1, 96, 35, 35]> input = ?,
Optional[Tensor]<[96]> weight = ?,
Optional[Tensor]<[96]> bias = ?,
Tensor<[96]> running_mean = ?,
Tensor<[96]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 0.001		 None Fallback 1 0
20 Tensor<[1, 96, 71, 71]> input = ?,
Optional[Tensor]<[96]> weight = ?,
Optional[Tensor]<[96]> bias = ?,
Tensor<[96]> running_mean = ?,
Tensor<[96]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 0.001		 None Fallback 1 0
21 Tensor<[1, 96, 73, 73]> input = ?,
Optional[Tensor]<[96]> weight = ?,
Optional[Tensor]<[96]> bias = ?,
Tensor<[96]> running_mean = ?,
Tensor<[96]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 0.001		 None Fallback 1 0

aten._to_copy.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[128]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
1 Tensor<[192]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
2 Tensor<[224]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
3 Tensor<[256]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
4 Tensor<[320]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
5 Tensor<[32]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
6 Tensor<[384]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
7 Tensor<[448]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
8 Tensor<[512]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
9 Tensor<[64]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
10 Tensor<[96]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1

aten.add.Tensor

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1024, 17, 17]> self = ?,
Tensor<[1, 1024, 17, 17]> other = ?		 Done Unknown N/A N/A
1 Tensor<[1, 1536, 8, 8]> self = ?,
Tensor<[1, 1536, 8, 8]> other = ?		 Done Done 0.9999979679149494 0
2 Tensor<[1, 160, 73, 73]> self = ?,
Tensor<[1, 160, 73, 73]> other = ?		 Done Unknown N/A N/A
3 Tensor<[1, 192, 71, 71]> self = ?,
Tensor<[1, 192, 71, 71]> other = ?		 Done Unknown N/A N/A
4 Tensor<[1, 384, 35, 35]> self = ?,
Tensor<[1, 384, 35, 35]> other = ?		 Done Unknown N/A N/A
5 Tensor<[1, 384, 8, 8]> self = ?,
Tensor<[1, 384, 8, 8]> other = ?		 Done Unknown N/A N/A
6 Tensor<[1, 512, 8, 8]> self = ?,
Tensor<[1, 512, 8, 8]> other = ?		 Done Done 0.9999980057158192 0
7 Tensor<[1, 64, 147, 147]> self = ?,
Tensor<[1, 64, 147, 147]> other = ?		 Done Unknown N/A N/A

aten.addmm.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1000]> self = ?,
Tensor<[1, 1536]> mat1 = ?,
Tensor<[1536, 1000]> mat2 = ?		 Done Done 0.999958 0

aten.avg_pool2d.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1024, 17, 17]> self = ?,
List[int] kernel_size = [3, 3],
List[int] stride = [1, 1],
List[int] padding = [1, 1],
bool ceil_mode = False,
bool count_include_pad = False		 None Fallback 1 -1
1 Tensor<[1, 1536, 8, 8]> self = ?,
List[int] kernel_size = [3, 3],
List[int] stride = [1, 1],
List[int] padding = [1, 1],
bool ceil_mode = False,
bool count_include_pad = False		 None Fallback 1 -1
2 Tensor<[1, 384, 35, 35]> self = ?,
List[int] kernel_size = [3, 3],
List[int] stride = [1, 1],
List[int] padding = [1, 1],
bool ceil_mode = False,
bool count_include_pad = False		 None Fallback 1 -1

aten.avg_pool2d_backward.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1024, 17, 17]> grad_output = ?,
Tensor<[1, 1024, 17, 17]> self = ?,
List[int] kernel_size = [3, 3],
List[int] stride = [1, 1],
List[int] padding = [1, 1],
bool ceil_mode = False,
bool count_include_pad = False,
Optional[int] divisor_override = ?		 None Fallback 1 -1
1 Tensor<[1, 1536, 8, 8]> grad_output = ?,
Tensor<[1, 1536, 8, 8]> self = ?,
List[int] kernel_size = [3, 3],
List[int] stride = [1, 1],
List[int] padding = [1, 1],
bool ceil_mode = False,
bool count_include_pad = False,
Optional[int] divisor_override = ?		 None Fallback 1 -1
2 Tensor<[1, 384, 35, 35]> grad_output = ?,
Tensor<[1, 384, 35, 35]> self = ?,
List[int] kernel_size = [3, 3],
List[int] stride = [1, 1],
List[int] padding = [1, 1],
bool ceil_mode = False,
bool count_include_pad = False,
Optional[int] divisor_override = ?		 None Fallback 1 -1

aten.cat.default

ATen Input Variations Status Isolated PCC Host
0 List[Tensor] tensors = [<[1, 192, 35, 35]>, <[1, 192, 35, 35]>],
int dim = 1		 Done Done 1 0
1 List[Tensor] tensors = [<[1, 192, 8, 8]>, <[1, 320, 8, 8]>, <[1, 1024, 8, 8]>],
int dim = 1		 Done Done 1 0
2 List[Tensor] tensors = [<[1, 256, 8, 8]>, <[1, 256, 8, 8]>],
int dim = 1		 Done Done 1 0
3 List[Tensor] tensors = [<[1, 256, 8, 8]>, <[1, 512, 8, 8]>, <[1, 512, 8, 8]>, <[1, 256, 8, 8]>],
int dim = 1		 Done Done 1 0
4 List[Tensor] tensors = [<[1, 384, 17, 17]>, <[1, 256, 17, 17]>, <[1, 256, 17, 17]>, <[1, 128, 17, 17]>],
int dim = 1		 Done Done 1 0
5 List[Tensor] tensors = [<[1, 384, 17, 17]>, <[1, 256, 17, 17]>, <[1, 384, 17, 17]>],
int dim = 1		 Done Done 1 0
6 List[Tensor] tensors = [<[1, 64, 73, 73]>, <[1, 96, 73, 73]>],
int dim = 1		 Done Done 1 0
7 List[Tensor] tensors = [<[1, 96, 35, 35]>, <[1, 96, 35, 35]>, <[1, 96, 35, 35]>, <[1, 96, 35, 35]>],
int dim = 1		 Done Done 1 0
8 List[Tensor] tensors = [<[1, 96, 71, 71]>, <[1, 96, 71, 71]>],
int dim = 1		 Done Done 1 0

aten.clone.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1536]> self = ? Done Done 1 0

aten.convolution.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1024, 17, 17]> input = ?,
Tensor<[128, 1024, 1, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999954 4
1 Tensor<[1, 1024, 17, 17]> input = ?,
Tensor<[192, 1024, 1, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999955 4
2 Tensor<[1, 1024, 17, 17]> input = ?,
Tensor<[256, 1024, 1, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999955 4
3 Tensor<[1, 1024, 17, 17]> input = ?,
Tensor<[384, 1024, 1, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999956 4
4 Tensor<[1, 1536, 8, 8]> input = ?,
Tensor<[256, 1536, 1, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.99994 4
5 Tensor<[1, 1536, 8, 8]> input = ?,
Tensor<[384, 1536, 1, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999939 4
6 Tensor<[1, 160, 73, 73]> input = ?,
Tensor<[64, 160, 1, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999982 4
7 Tensor<[1, 192, 17, 17]> input = ?,
Tensor<[192, 192, 3, 3]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999689 4
8 Tensor<[1, 192, 17, 17]> input = ?,
Tensor<[192, 192, 7, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [3, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999789 4
9 Tensor<[1, 192, 17, 17]> input = ?,
Tensor<[224, 192, 1, 7]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 3],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999791 4
10 Tensor<[1, 192, 35, 35]> input = ?,
Tensor<[224, 192, 3, 3]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [1, 1],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999696 4
11 Tensor<[1, 192, 71, 71]> input = ?,
Tensor<[192, 192, 3, 3]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999684 4
12 Tensor<[1, 224, 17, 17]> input = ?,
Tensor<[224, 224, 7, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [3, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999748 4
13 Tensor<[1, 224, 17, 17]> input = ?,
Tensor<[256, 224, 1, 7]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 3],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999744 4
14 Tensor<[1, 224, 17, 17]> input = ?,
Tensor<[256, 224, 7, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [3, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999743 4
15 Tensor<[1, 224, 35, 35]> input = ?,
Tensor<[256, 224, 3, 3]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999614 4
16 Tensor<[1, 256, 17, 17]> input = ?,
Tensor<[256, 256, 1, 7]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 3],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999694 4
17 Tensor<[1, 256, 17, 17]> input = ?,
Tensor<[320, 256, 7, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [3, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999696 4
18 Tensor<[1, 3, 299, 299]> input = ?,
Tensor<[32, 3, 3, 3]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999981 4
19 Tensor<[1, 32, 147, 147]> input = ?,
Tensor<[64, 32, 3, 3]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [1, 1],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999961 4
20 Tensor<[1, 32, 149, 149]> input = ?,
Tensor<[32, 32, 3, 3]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999961 4
21 Tensor<[1, 320, 17, 17]> input = ?,
Tensor<[320, 320, 3, 3]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999379 4
22 Tensor<[1, 384, 35, 35]> input = ?,
Tensor<[192, 384, 1, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999973 4
23 Tensor<[1, 384, 35, 35]> input = ?,
Tensor<[384, 384, 3, 3]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999209 4
24 Tensor<[1, 384, 35, 35]> input = ?,
Tensor<[64, 384, 1, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999973 4
25 Tensor<[1, 384, 35, 35]> input = ?,
Tensor<[96, 384, 1, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999973 4
26 Tensor<[1, 384, 8, 8]> input = ?,
Tensor<[256, 384, 1, 3]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 1],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999823 4
27 Tensor<[1, 384, 8, 8]> input = ?,
Tensor<[256, 384, 3, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [1, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999822 4
28 Tensor<[1, 384, 8, 8]> input = ?,
Tensor<[448, 384, 3, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [1, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999828 4
29 Tensor<[1, 448, 8, 8]> input = ?,
Tensor<[512, 448, 1, 3]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 1],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999788 4
30 Tensor<[1, 512, 8, 8]> input = ?,
Tensor<[256, 512, 1, 3]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 1],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999743 4
31 Tensor<[1, 512, 8, 8]> input = ?,
Tensor<[256, 512, 3, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [1, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999751 4
32 Tensor<[1, 64, 147, 147]> input = ?,
Tensor<[96, 64, 3, 3]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.99992 4
33 Tensor<[1, 64, 35, 35]> input = ?,
Tensor<[96, 64, 3, 3]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [1, 1],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999921 4
34 Tensor<[1, 64, 73, 73]> input = ?,
Tensor<[64, 64, 1, 7]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 3],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999939 4
35 Tensor<[1, 64, 73, 73]> input = ?,
Tensor<[64, 64, 7, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [3, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999939 4
36 Tensor<[1, 64, 73, 73]> input = ?,
Tensor<[96, 64, 3, 3]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999919 4
37 Tensor<[1, 96, 35, 35]> input = ?,
Tensor<[96, 96, 3, 3]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [1, 1],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999872 4

aten.convolution_backward.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 128, 17, 17]> grad_output = ?,
Tensor<[1, 1024, 17, 17]> input = ?,
Tensor<[128, 1024, 1, 1]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
1 Tensor<[1, 192, 17, 17]> grad_output = ?,
Tensor<[1, 1024, 17, 17]> input = ?,
Tensor<[192, 1024, 1, 1]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
2 Tensor<[1, 192, 17, 17]> grad_output = ?,
Tensor<[1, 192, 17, 17]> input = ?,
Tensor<[192, 192, 7, 1]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [1, 1],
List[int] padding = [3, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
3 Tensor<[1, 192, 35, 35]> grad_output = ?,
Tensor<[1, 192, 71, 71]> input = ?,
Tensor<[192, 192, 3, 3]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
4 Tensor<[1, 192, 35, 35]> grad_output = ?,
Tensor<[1, 384, 35, 35]> input = ?,
Tensor<[192, 384, 1, 1]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
5 Tensor<[1, 192, 8, 8]> grad_output = ?,
Tensor<[1, 192, 17, 17]> input = ?,
Tensor<[192, 192, 3, 3]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
6 Tensor<[1, 224, 17, 17]> grad_output = ?,
Tensor<[1, 192, 17, 17]> input = ?,
Tensor<[224, 192, 1, 7]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [1, 1],
List[int] padding = [0, 3],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
7 Tensor<[1, 224, 17, 17]> grad_output = ?,
Tensor<[1, 224, 17, 17]> input = ?,
Tensor<[224, 224, 7, 1]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [1, 1],
List[int] padding = [3, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
8 Tensor<[1, 224, 35, 35]> grad_output = ?,
Tensor<[1, 192, 35, 35]> input = ?,
Tensor<[224, 192, 3, 3]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [1, 1],
List[int] padding = [1, 1],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
9 Tensor<[1, 256, 17, 17]> grad_output = ?,
Tensor<[1, 1024, 17, 17]> input = ?,
Tensor<[256, 1024, 1, 1]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
10 Tensor<[1, 256, 17, 17]> grad_output = ?,
Tensor<[1, 224, 17, 17]> input = ?,
Tensor<[256, 224, 1, 7]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [1, 1],
List[int] padding = [0, 3],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
11 Tensor<[1, 256, 17, 17]> grad_output = ?,
Tensor<[1, 224, 17, 17]> input = ?,
Tensor<[256, 224, 7, 1]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [1, 1],
List[int] padding = [3, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
12 Tensor<[1, 256, 17, 17]> grad_output = ?,
Tensor<[1, 224, 35, 35]> input = ?,
Tensor<[256, 224, 3, 3]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
13 Tensor<[1, 256, 17, 17]> grad_output = ?,
Tensor<[1, 256, 17, 17]> input = ?,
Tensor<[256, 256, 1, 7]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [1, 1],
List[int] padding = [0, 3],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
14 Tensor<[1, 256, 8, 8]> grad_output = ?,
Tensor<[1, 1536, 8, 8]> input = ?,
Tensor<[256, 1536, 1, 1]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
15 Tensor<[1, 256, 8, 8]> grad_output = ?,
Tensor<[1, 384, 8, 8]> input = ?,
Tensor<[256, 384, 1, 3]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [1, 1],
List[int] padding = [0, 1],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
16 Tensor<[1, 256, 8, 8]> grad_output = ?,
Tensor<[1, 384, 8, 8]> input = ?,
Tensor<[256, 384, 3, 1]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [1, 1],
List[int] padding = [1, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
17 Tensor<[1, 256, 8, 8]> grad_output = ?,
Tensor<[1, 512, 8, 8]> input = ?,
Tensor<[256, 512, 1, 3]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [1, 1],
List[int] padding = [0, 1],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
18 Tensor<[1, 256, 8, 8]> grad_output = ?,
Tensor<[1, 512, 8, 8]> input = ?,
Tensor<[256, 512, 3, 1]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [1, 1],
List[int] padding = [1, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
19 Tensor<[1, 32, 147, 147]> grad_output = ?,
Tensor<[1, 32, 149, 149]> input = ?,
Tensor<[32, 32, 3, 3]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
20 Tensor<[1, 32, 149, 149]> grad_output = ?,
Tensor<[1, 3, 299, 299]> input = ?,
Tensor<[32, 3, 3, 3]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
21 Tensor<[1, 320, 17, 17]> grad_output = ?,
Tensor<[1, 256, 17, 17]> input = ?,
Tensor<[320, 256, 7, 1]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [1, 1],
List[int] padding = [3, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
22 Tensor<[1, 320, 8, 8]> grad_output = ?,
Tensor<[1, 320, 17, 17]> input = ?,
Tensor<[320, 320, 3, 3]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
23 Tensor<[1, 384, 17, 17]> grad_output = ?,
Tensor<[1, 1024, 17, 17]> input = ?,
Tensor<[384, 1024, 1, 1]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
24 Tensor<[1, 384, 17, 17]> grad_output = ?,
Tensor<[1, 384, 35, 35]> input = ?,
Tensor<[384, 384, 3, 3]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
25 Tensor<[1, 384, 8, 8]> grad_output = ?,
Tensor<[1, 1536, 8, 8]> input = ?,
Tensor<[384, 1536, 1, 1]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
26 Tensor<[1, 448, 8, 8]> grad_output = ?,
Tensor<[1, 384, 8, 8]> input = ?,
Tensor<[448, 384, 3, 1]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [1, 1],
List[int] padding = [1, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
27 Tensor<[1, 512, 8, 8]> grad_output = ?,
Tensor<[1, 448, 8, 8]> input = ?,
Tensor<[512, 448, 1, 3]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [1, 1],
List[int] padding = [0, 1],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
28 Tensor<[1, 64, 147, 147]> grad_output = ?,
Tensor<[1, 32, 147, 147]> input = ?,
Tensor<[64, 32, 3, 3]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [1, 1],
List[int] padding = [1, 1],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
29 Tensor<[1, 64, 35, 35]> grad_output = ?,
Tensor<[1, 384, 35, 35]> input = ?,
Tensor<[64, 384, 1, 1]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
30 Tensor<[1, 64, 73, 73]> grad_output = ?,
Tensor<[1, 160, 73, 73]> input = ?,
Tensor<[64, 160, 1, 1]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
31 Tensor<[1, 64, 73, 73]> grad_output = ?,
Tensor<[1, 64, 73, 73]> input = ?,
Tensor<[64, 64, 1, 7]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [1, 1],
List[int] padding = [0, 3],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
32 Tensor<[1, 64, 73, 73]> grad_output = ?,
Tensor<[1, 64, 73, 73]> input = ?,
Tensor<[64, 64, 7, 1]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [1, 1],
List[int] padding = [3, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
33 Tensor<[1, 96, 35, 35]> grad_output = ?,
Tensor<[1, 384, 35, 35]> input = ?,
Tensor<[96, 384, 1, 1]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
34 Tensor<[1, 96, 35, 35]> grad_output = ?,
Tensor<[1, 64, 35, 35]> input = ?,
Tensor<[96, 64, 3, 3]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [1, 1],
List[int] padding = [1, 1],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
35 Tensor<[1, 96, 35, 35]> grad_output = ?,
Tensor<[1, 96, 35, 35]> input = ?,
Tensor<[96, 96, 3, 3]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [1, 1],
List[int] padding = [1, 1],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
36 Tensor<[1, 96, 71, 71]> grad_output = ?,
Tensor<[1, 64, 73, 73]> input = ?,
Tensor<[96, 64, 3, 3]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
37 Tensor<[1, 96, 73, 73]> grad_output = ?,
Tensor<[1, 64, 147, 147]> input = ?,
Tensor<[96, 64, 3, 3]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0

aten.detach.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 128, 17, 17]> self = ? Removed Done 1 -1
1 Tensor<[1, 192, 17, 17]> self = ? Removed Done 1 -1
2 Tensor<[1, 192, 35, 35]> self = ? Removed Done 1 -1
3 Tensor<[1, 192, 8, 8]> self = ? Removed Done 1 -1
4 Tensor<[1, 224, 17, 17]> self = ? Removed Done 1 -1
5 Tensor<[1, 224, 35, 35]> self = ? Removed Done 1 -1
6 Tensor<[1, 256, 17, 17]> self = ? Removed Done 1 -1
7 Tensor<[1, 256, 8, 8]> self = ? Removed Done 1 -1
8 Tensor<[1, 32, 147, 147]> self = ? Removed Done 1 -1
9 Tensor<[1, 32, 149, 149]> self = ? Removed Done 1 -1
10 Tensor<[1, 320, 17, 17]> self = ? Removed Done 1 -1
11 Tensor<[1, 320, 8, 8]> self = ? Removed Done 1 -1
12 Tensor<[1, 384, 17, 17]> self = ? Removed Done 1 -1
13 Tensor<[1, 384, 8, 8]> self = ? Removed Done 1 -1
14 Tensor<[1, 448, 8, 8]> self = ? Removed Done 1 -1
15 Tensor<[1, 512, 8, 8]> self = ? Removed Done 1 -1
16 Tensor<[1, 64, 147, 147]> self = ? Removed Done 1 -1
17 Tensor<[1, 64, 35, 35]> self = ? Removed Done 1 -1
18 Tensor<[1, 64, 73, 73]> self = ? Removed Done 1 -1
19 Tensor<[1, 96, 35, 35]> self = ? Removed Done 1 -1
20 Tensor<[1, 96, 71, 71]> self = ? Removed Done 1 -1
21 Tensor<[1, 96, 73, 73]> self = ? Removed Done 1 -1

aten.div.Scalar

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1536, 8, 8]> self = ?,
number other = 64		 None Fallback 1 -1

aten.expand.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1536, 1, 1]> self = ?,
List[int] size = [1, 1536, 8, 8]		 None Fallback 1 -1

aten.max_pool2d_with_indices.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1024, 17, 17]> self = ?,
List[int] kernel_size = [3, 3],
List[int] stride = [2, 2]		 None Fallback 1 0
1 Tensor<[1, 192, 71, 71]> self = ?,
List[int] kernel_size = [3, 3],
List[int] stride = [2, 2]		 None Fallback 1 0
2 Tensor<[1, 384, 35, 35]> self = ?,
List[int] kernel_size = [3, 3],
List[int] stride = [2, 2]		 None Fallback 1 0
3 Tensor<[1, 64, 147, 147]> self = ?,
List[int] kernel_size = [3, 3],
List[int] stride = [2, 2]		 None Fallback 1 0

aten.max_pool2d_with_indices_backward.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1024, 8, 8]> grad_output = ?,
Tensor<[1, 1024, 17, 17]> self = ?,
List[int] kernel_size = [3, 3],
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool ceil_mode = False,
Tensor<[1, 1024, 8, 8]> indices = ?		 None Unknown N/A N/A
1 Tensor<[1, 192, 35, 35]> grad_output = ?,
Tensor<[1, 192, 71, 71]> self = ?,
List[int] kernel_size = [3, 3],
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool ceil_mode = False,
Tensor<[1, 192, 35, 35]> indices = ?		 None Unknown N/A N/A
2 Tensor<[1, 384, 17, 17]> grad_output = ?,
Tensor<[1, 384, 35, 35]> self = ?,
List[int] kernel_size = [3, 3],
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool ceil_mode = False,
Tensor<[1, 384, 17, 17]> indices = ?		 None Unknown N/A N/A
3 Tensor<[1, 64, 73, 73]> grad_output = ?,
Tensor<[1, 64, 147, 147]> self = ?,
List[int] kernel_size = [3, 3],
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool ceil_mode = False,
Tensor<[1, 64, 73, 73]> indices = ?		 None Unknown N/A N/A

aten.mean.dim

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1536, 8, 8]> self = ?,
Optional[List[int]] dim = [-1, -2],
bool keepdim = True		 Done Done 0.999997 0

aten.mm.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1000]> self = ?,
Tensor<[1000, 1536]> mat2 = ?		 Done Done 0.99997 0
1 Tensor<[1000, 1]> self = ?,
Tensor<[1, 1536]> mat2 = ?		 Done Done 0.999992 0

aten.native_batch_norm_backward.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 128, 17, 17]> grad_out = ?,
Tensor<[1, 128, 17, 17]> input = ?,
Optional[Tensor]<[128]> weight = ?,
Optional[Tensor]<[128]> running_mean = ?,
Optional[Tensor]<[128]> running_var = ?,
Optional[Tensor]<[128]> save_mean = ?,
Optional[Tensor]<[128]> save_invstd = ?,
bool train = True,
float eps = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
1 Tensor<[1, 192, 17, 17]> grad_out = ?,
Tensor<[1, 192, 17, 17]> input = ?,
Optional[Tensor]<[192]> weight = ?,
Optional[Tensor]<[192]> running_mean = ?,
Optional[Tensor]<[192]> running_var = ?,
Optional[Tensor]<[192]> save_mean = ?,
Optional[Tensor]<[192]> save_invstd = ?,
bool train = True,
float eps = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
2 Tensor<[1, 192, 35, 35]> grad_out = ?,
Tensor<[1, 192, 35, 35]> input = ?,
Optional[Tensor]<[192]> weight = ?,
Optional[Tensor]<[192]> running_mean = ?,
Optional[Tensor]<[192]> running_var = ?,
Optional[Tensor]<[192]> save_mean = ?,
Optional[Tensor]<[192]> save_invstd = ?,
bool train = True,
float eps = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
3 Tensor<[1, 192, 8, 8]> grad_out = ?,
Tensor<[1, 192, 8, 8]> input = ?,
Optional[Tensor]<[192]> weight = ?,
Optional[Tensor]<[192]> running_mean = ?,
Optional[Tensor]<[192]> running_var = ?,
Optional[Tensor]<[192]> save_mean = ?,
Optional[Tensor]<[192]> save_invstd = ?,
bool train = True,
float eps = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
4 Tensor<[1, 224, 17, 17]> grad_out = ?,
Tensor<[1, 224, 17, 17]> input = ?,
Optional[Tensor]<[224]> weight = ?,
Optional[Tensor]<[224]> running_mean = ?,
Optional[Tensor]<[224]> running_var = ?,
Optional[Tensor]<[224]> save_mean = ?,
Optional[Tensor]<[224]> save_invstd = ?,
bool train = True,
float eps = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
5 Tensor<[1, 224, 35, 35]> grad_out = ?,
Tensor<[1, 224, 35, 35]> input = ?,
Optional[Tensor]<[224]> weight = ?,
Optional[Tensor]<[224]> running_mean = ?,
Optional[Tensor]<[224]> running_var = ?,
Optional[Tensor]<[224]> save_mean = ?,
Optional[Tensor]<[224]> save_invstd = ?,
bool train = True,
float eps = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
6 Tensor<[1, 256, 17, 17]> grad_out = ?,
Tensor<[1, 256, 17, 17]> input = ?,
Optional[Tensor]<[256]> weight = ?,
Optional[Tensor]<[256]> running_mean = ?,
Optional[Tensor]<[256]> running_var = ?,
Optional[Tensor]<[256]> save_mean = ?,
Optional[Tensor]<[256]> save_invstd = ?,
bool train = True,
float eps = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
7 Tensor<[1, 256, 8, 8]> grad_out = ?,
Tensor<[1, 256, 8, 8]> input = ?,
Optional[Tensor]<[256]> weight = ?,
Optional[Tensor]<[256]> running_mean = ?,
Optional[Tensor]<[256]> running_var = ?,
Optional[Tensor]<[256]> save_mean = ?,
Optional[Tensor]<[256]> save_invstd = ?,
bool train = True,
float eps = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
8 Tensor<[1, 32, 147, 147]> grad_out = ?,
Tensor<[1, 32, 147, 147]> input = ?,
Optional[Tensor]<[32]> weight = ?,
Optional[Tensor]<[32]> running_mean = ?,
Optional[Tensor]<[32]> running_var = ?,
Optional[Tensor]<[32]> save_mean = ?,
Optional[Tensor]<[32]> save_invstd = ?,
bool train = True,
float eps = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
9 Tensor<[1, 32, 149, 149]> grad_out = ?,
Tensor<[1, 32, 149, 149]> input = ?,
Optional[Tensor]<[32]> weight = ?,
Optional[Tensor]<[32]> running_mean = ?,
Optional[Tensor]<[32]> running_var = ?,
Optional[Tensor]<[32]> save_mean = ?,
Optional[Tensor]<[32]> save_invstd = ?,
bool train = True,
float eps = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
10 Tensor<[1, 320, 17, 17]> grad_out = ?,
Tensor<[1, 320, 17, 17]> input = ?,
Optional[Tensor]<[320]> weight = ?,
Optional[Tensor]<[320]> running_mean = ?,
Optional[Tensor]<[320]> running_var = ?,
Optional[Tensor]<[320]> save_mean = ?,
Optional[Tensor]<[320]> save_invstd = ?,
bool train = True,
float eps = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
11 Tensor<[1, 320, 8, 8]> grad_out = ?,
Tensor<[1, 320, 8, 8]> input = ?,
Optional[Tensor]<[320]> weight = ?,
Optional[Tensor]<[320]> running_mean = ?,
Optional[Tensor]<[320]> running_var = ?,
Optional[Tensor]<[320]> save_mean = ?,
Optional[Tensor]<[320]> save_invstd = ?,
bool train = True,
float eps = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
12 Tensor<[1, 384, 17, 17]> grad_out = ?,
Tensor<[1, 384, 17, 17]> input = ?,
Optional[Tensor]<[384]> weight = ?,
Optional[Tensor]<[384]> running_mean = ?,
Optional[Tensor]<[384]> running_var = ?,
Optional[Tensor]<[384]> save_mean = ?,
Optional[Tensor]<[384]> save_invstd = ?,
bool train = True,
float eps = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
13 Tensor<[1, 384, 8, 8]> grad_out = ?,
Tensor<[1, 384, 8, 8]> input = ?,
Optional[Tensor]<[384]> weight = ?,
Optional[Tensor]<[384]> running_mean = ?,
Optional[Tensor]<[384]> running_var = ?,
Optional[Tensor]<[384]> save_mean = ?,
Optional[Tensor]<[384]> save_invstd = ?,
bool train = True,
float eps = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
14 Tensor<[1, 448, 8, 8]> grad_out = ?,
Tensor<[1, 448, 8, 8]> input = ?,
Optional[Tensor]<[448]> weight = ?,
Optional[Tensor]<[448]> running_mean = ?,
Optional[Tensor]<[448]> running_var = ?,
Optional[Tensor]<[448]> save_mean = ?,
Optional[Tensor]<[448]> save_invstd = ?,
bool train = True,
float eps = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
15 Tensor<[1, 512, 8, 8]> grad_out = ?,
Tensor<[1, 512, 8, 8]> input = ?,
Optional[Tensor]<[512]> weight = ?,
Optional[Tensor]<[512]> running_mean = ?,
Optional[Tensor]<[512]> running_var = ?,
Optional[Tensor]<[512]> save_mean = ?,
Optional[Tensor]<[512]> save_invstd = ?,
bool train = True,
float eps = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
16 Tensor<[1, 64, 147, 147]> grad_out = ?,
Tensor<[1, 64, 147, 147]> input = ?,
Optional[Tensor]<[64]> weight = ?,
Optional[Tensor]<[64]> running_mean = ?,
Optional[Tensor]<[64]> running_var = ?,
Optional[Tensor]<[64]> save_mean = ?,
Optional[Tensor]<[64]> save_invstd = ?,
bool train = True,
float eps = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
17 Tensor<[1, 64, 35, 35]> grad_out = ?,
Tensor<[1, 64, 35, 35]> input = ?,
Optional[Tensor]<[64]> weight = ?,
Optional[Tensor]<[64]> running_mean = ?,
Optional[Tensor]<[64]> running_var = ?,
Optional[Tensor]<[64]> save_mean = ?,
Optional[Tensor]<[64]> save_invstd = ?,
bool train = True,
float eps = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
18 Tensor<[1, 64, 73, 73]> grad_out = ?,
Tensor<[1, 64, 73, 73]> input = ?,
Optional[Tensor]<[64]> weight = ?,
Optional[Tensor]<[64]> running_mean = ?,
Optional[Tensor]<[64]> running_var = ?,
Optional[Tensor]<[64]> save_mean = ?,
Optional[Tensor]<[64]> save_invstd = ?,
bool train = True,
float eps = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
19 Tensor<[1, 96, 35, 35]> grad_out = ?,
Tensor<[1, 96, 35, 35]> input = ?,
Optional[Tensor]<[96]> weight = ?,
Optional[Tensor]<[96]> running_mean = ?,
Optional[Tensor]<[96]> running_var = ?,
Optional[Tensor]<[96]> save_mean = ?,
Optional[Tensor]<[96]> save_invstd = ?,
bool train = True,
float eps = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
20 Tensor<[1, 96, 71, 71]> grad_out = ?,
Tensor<[1, 96, 71, 71]> input = ?,
Optional[Tensor]<[96]> weight = ?,
Optional[Tensor]<[96]> running_mean = ?,
Optional[Tensor]<[96]> running_var = ?,
Optional[Tensor]<[96]> save_mean = ?,
Optional[Tensor]<[96]> save_invstd = ?,
bool train = True,
float eps = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
21 Tensor<[1, 96, 73, 73]> grad_out = ?,
Tensor<[1, 96, 73, 73]> input = ?,
Optional[Tensor]<[96]> weight = ?,
Optional[Tensor]<[96]> running_mean = ?,
Optional[Tensor]<[96]> running_var = ?,
Optional[Tensor]<[96]> save_mean = ?,
Optional[Tensor]<[96]> save_invstd = ?,
bool train = True,
float eps = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0

aten.relu.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 128, 17, 17]> self = ? Done Done 1 0
1 Tensor<[1, 192, 17, 17]> self = ? Done Done 1 0
2 Tensor<[1, 192, 35, 35]> self = ? Done Done 1 0
3 Tensor<[1, 192, 8, 8]> self = ? Done Done 1 0
4 Tensor<[1, 224, 17, 17]> self = ? Done Done 1 0
5 Tensor<[1, 224, 35, 35]> self = ? Done Done 1 0
6 Tensor<[1, 256, 17, 17]> self = ? Done Done 1 0
7 Tensor<[1, 256, 8, 8]> self = ? Done Done 1 0
8 Tensor<[1, 32, 147, 147]> self = ? Done Done 1 0
9 Tensor<[1, 32, 149, 149]> self = ? Done Done 1 0
10 Tensor<[1, 320, 17, 17]> self = ? Done Done 1 0
11 Tensor<[1, 320, 8, 8]> self = ? Done Done 1 0
12 Tensor<[1, 384, 17, 17]> self = ? Done Done 1 0
13 Tensor<[1, 384, 8, 8]> self = ? Done Done 1 0
14 Tensor<[1, 448, 8, 8]> self = ? Done Done 1 0
15 Tensor<[1, 512, 8, 8]> self = ? Done Done 1 0
16 Tensor<[1, 64, 147, 147]> self = ? Done Done 1 0
17 Tensor<[1, 64, 35, 35]> self = ? Done Done 1 0
18 Tensor<[1, 64, 73, 73]> self = ? Done Done 1 0
19 Tensor<[1, 96, 35, 35]> self = ? Done Done 1 0
20 Tensor<[1, 96, 71, 71]> self = ? Done Done 1 0
21 Tensor<[1, 96, 73, 73]> self = ? Done Done 1 0

aten.slice.Tensor

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1024, 17, 17]> self = ?,
int dim = 1,
Optional[int] start = 0,
Optional[int] end = 384		 Done Done 1 -1
1 Tensor<[1, 1024, 17, 17]> self = ?,
int dim = 1,
Optional[int] start = 384,
Optional[int] end = 640		 Done Done 1 -1
2 Tensor<[1, 1024, 17, 17]> self = ?,
int dim = 1,
Optional[int] start = 640,
Optional[int] end = 1024		 Done Done 1 -1
3 Tensor<[1, 1024, 17, 17]> self = ?,
int dim = 1,
Optional[int] start = 640,
Optional[int] end = 896		 Done Done 1 -1
4 Tensor<[1, 1024, 17, 17]> self = ?,
int dim = 1,
Optional[int] start = 896,
Optional[int] end = 1024		 Done Done 1 -1
5 Tensor<[1, 1536, 8, 8]> self = ?,
int dim = 1,
Optional[int] start = 0,
Optional[int] end = 192		 Done Done 1 -1
6 Tensor<[1, 1536, 8, 8]> self = ?,
int dim = 1,
Optional[int] start = 0,
Optional[int] end = 256		 Done Done 1 -1
7 Tensor<[1, 1536, 8, 8]> self = ?,
int dim = 1,
Optional[int] start = 1280,
Optional[int] end = 1536		 Done Done 1 -1
8 Tensor<[1, 1536, 8, 8]> self = ?,
int dim = 1,
Optional[int] start = 192,
Optional[int] end = 512		 Done Done 1 -1
9 Tensor<[1, 1536, 8, 8]> self = ?,
int dim = 1,
Optional[int] start = 256,
Optional[int] end = 768		 Done Done 1 -1
10 Tensor<[1, 1536, 8, 8]> self = ?,
int dim = 1,
Optional[int] start = 512,
Optional[int] end = 1536		 Done Done 1 -1
11 Tensor<[1, 1536, 8, 8]> self = ?,
int dim = 1,
Optional[int] start = 768,
Optional[int] end = 1280		 Done Done 1 -1
12 Tensor<[1, 160, 73, 73]> self = ?,
int dim = 1,
Optional[int] start = 0,
Optional[int] end = 64		 Done Done 1 -1
13 Tensor<[1, 160, 73, 73]> self = ?,
int dim = 1,
Optional[int] start = 64,
Optional[int] end = 160		 Done Done 1 -1
14 Tensor<[1, 192, 71, 71]> self = ?,
int dim = 1,
Optional[int] start = 0,
Optional[int] end = 96		 Done Done 1 -1
15 Tensor<[1, 192, 71, 71]> self = ?,
int dim = 1,
Optional[int] start = 96,
Optional[int] end = 192		 Done Done 1 -1
16 Tensor<[1, 384, 35, 35]> self = ?,
int dim = 1,
Optional[int] start = 0,
Optional[int] end = 192		 Done Done 1 -1
17 Tensor<[1, 384, 35, 35]> self = ?,
int dim = 1,
Optional[int] start = 0,
Optional[int] end = 96		 Done Done 1 -1
18 Tensor<[1, 384, 35, 35]> self = ?,
int dim = 1,
Optional[int] start = 192,
Optional[int] end = 288		 Done Done 1 -1
19 Tensor<[1, 384, 35, 35]> self = ?,
int dim = 1,
Optional[int] start = 192,
Optional[int] end = 384		 Done Done 1 -1
20 Tensor<[1, 384, 35, 35]> self = ?,
int dim = 1,
Optional[int] start = 288,
Optional[int] end = 384		 Done Done 1 -1
21 Tensor<[1, 384, 35, 35]> self = ?,
int dim = 1,
Optional[int] start = 96,
Optional[int] end = 192		 Done Done 1 -1
22 Tensor<[1, 512, 8, 8]> self = ?,
int dim = 1,
Optional[int] start = 0,
Optional[int] end = 256		 Done Done 1 -1
23 Tensor<[1, 512, 8, 8]> self = ?,
int dim = 1,
Optional[int] start = 256,
Optional[int] end = 512		 Done Done 1 -1

aten.sum.dim_IntList

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1000]> self = ?,
Optional[List[int]] dim = [0],
bool keepdim = True		 None Fallback 1 -1

aten.t.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1000]> self = ? Done Done 1 0
1 Tensor<[1000, 1536]> self = ? Done Done 1 0
2 Tensor<[1536, 1000]> self = ? Done Done 1 0

aten.threshold_backward.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 128, 17, 17]> grad_output = ?,
Tensor<[1, 128, 17, 17]> self = ?,
number threshold = 0		 None Fallback 1 -1
1 Tensor<[1, 192, 17, 17]> grad_output = ?,
Tensor<[1, 192, 17, 17]> self = ?,
number threshold = 0		 None Fallback 1 -1
2 Tensor<[1, 192, 35, 35]> grad_output = ?,
Tensor<[1, 192, 35, 35]> self = ?,
number threshold = 0		 None Fallback 1 -1
3 Tensor<[1, 192, 8, 8]> grad_output = ?,
Tensor<[1, 192, 8, 8]> self = ?,
number threshold = 0		 None Fallback 1 -1
4 Tensor<[1, 224, 17, 17]> grad_output = ?,
Tensor<[1, 224, 17, 17]> self = ?,
number threshold = 0		 None Fallback 1 -1
5 Tensor<[1, 224, 35, 35]> grad_output = ?,
Tensor<[1, 224, 35, 35]> self = ?,
number threshold = 0		 None Fallback 1 -1
6 Tensor<[1, 256, 17, 17]> grad_output = ?,
Tensor<[1, 256, 17, 17]> self = ?,
number threshold = 0		 None Fallback 1 -1
7 Tensor<[1, 256, 8, 8]> grad_output = ?,
Tensor<[1, 256, 8, 8]> self = ?,
number threshold = 0		 None Fallback 1 -1
8 Tensor<[1, 32, 147, 147]> grad_output = ?,
Tensor<[1, 32, 147, 147]> self = ?,
number threshold = 0		 None Fallback 1 -1
9 Tensor<[1, 32, 149, 149]> grad_output = ?,
Tensor<[1, 32, 149, 149]> self = ?,
number threshold = 0		 None Fallback 1 -1
10 Tensor<[1, 320, 17, 17]> grad_output = ?,
Tensor<[1, 320, 17, 17]> self = ?,
number threshold = 0		 None Fallback 1 -1
11 Tensor<[1, 320, 8, 8]> grad_output = ?,
Tensor<[1, 320, 8, 8]> self = ?,
number threshold = 0		 None Fallback 1 -1
12 Tensor<[1, 384, 17, 17]> grad_output = ?,
Tensor<[1, 384, 17, 17]> self = ?,
number threshold = 0		 None Fallback 1 -1
13 Tensor<[1, 384, 8, 8]> grad_output = ?,
Tensor<[1, 384, 8, 8]> self = ?,
number threshold = 0		 None Fallback 1 -1
14 Tensor<[1, 448, 8, 8]> grad_output = ?,
Tensor<[1, 448, 8, 8]> self = ?,
number threshold = 0		 None Fallback 1 -1
15 Tensor<[1, 512, 8, 8]> grad_output = ?,
Tensor<[1, 512, 8, 8]> self = ?,
number threshold = 0		 None Fallback 1 -1
16 Tensor<[1, 64, 147, 147]> grad_output = ?,
Tensor<[1, 64, 147, 147]> self = ?,
number threshold = 0		 None Fallback 1 -1
17 Tensor<[1, 64, 35, 35]> grad_output = ?,
Tensor<[1, 64, 35, 35]> self = ?,
number threshold = 0		 None Fallback 1 -1
18 Tensor<[1, 64, 73, 73]> grad_output = ?,
Tensor<[1, 64, 73, 73]> self = ?,
number threshold = 0		 None Fallback 1 -1
19 Tensor<[1, 96, 35, 35]> grad_output = ?,
Tensor<[1, 96, 35, 35]> self = ?,
number threshold = 0		 None Fallback 1 -1
20 Tensor<[1, 96, 71, 71]> grad_output = ?,
Tensor<[1, 96, 71, 71]> self = ?,
number threshold = 0		 None Fallback 1 -1
21 Tensor<[1, 96, 73, 73]> grad_output = ?,
Tensor<[1, 96, 73, 73]> self = ?,
number threshold = 0		 None Fallback 1 -1

aten.view.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1000]> self = ?,
List[int] size = [1000]		 Done Done 1 -1
1 Tensor<[1, 1536, 1, 1]> self = ?,
List[int] size = [1, 1536]		 Done Done 1 -1
2 Tensor<[1, 1536]> self = ?,
List[int] size = [1, 1536, 1, 1]		 Done Done 1 -1