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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_no_training.default 30 30 0 0 ✅ 1
1 aten._unsafe_index.Tensor 4 0 4 0 ✅ 1
2 aten._unsafe_view.default 15 15 0 0 ✅ 1
3 aten.add.Tensor 8 7 1 0 ✅ 1
4 aten.cat.default 10 10 0 0 ✅ 1
5 aten.clamp.default 1 1 0 0 ✅ 1
6 aten.clone.default 15 15 0 0 ✅ 1
7 aten.convolution.default 71 71 0 0 ✅ 1
8 aten.div.Tensor 7 6 1 0 ✅ 1
9 aten.expand.default 11 5 1 0 🚧 0.55
10 aten.full.default 1 1 0 0 ✅ 1
11 aten.hardsigmoid.default 4 4 0 0 ✅ 1
12 aten.hardswish.default 9 9 0 0 ✅ 1
13 aten.hardtanh.default 13 13 0 0 ✅ 1
14 aten.mean.dim 6 6 0 0 ✅ 1
15 aten.mul.Tensor 11 8 3 0 ✅ 1
16 aten.new_full.default 1 0 1 0 ✅ 1
17 aten.permute.default 12 12 0 0 ✅ 1
18 aten.relu.default 10 10 0 0 ✅ 1
19 aten.repeat.default 6 5 1 0 ✅ 1
20 aten.rsub.Scalar 1 0 1 0 ✅ 1
21 aten.select.int 1 0 1 0 ✅ 1
22 aten.slice.Tensor 4 2 2 0 ✅ 1
23 aten.stack.default 6 6 0 0 ✅ 1
24 aten.sub.Tensor 2 1 1 0 ✅ 1
25 aten.unsqueeze.default 3 0 3 0 ✅ 1
26 aten.view.default 33 33 0 0 ✅ 1

aten._native_batch_norm_legit_no_training.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 112, 20, 20]> input = ?,
Optional[Tensor]<[112]> weight = ?,
Optional[Tensor]<[112]> bias = ?,
Tensor<[112]> running_mean = ?,
Tensor<[112]> running_var = ?,
float momentum = 0.03,
float eps = 0.001		 Done Done 0.999989 5
1 Tensor<[1, 120, 40, 40]> input = ?,
Optional[Tensor]<[120]> weight = ?,
Optional[Tensor]<[120]> bias = ?,
Tensor<[120]> running_mean = ?,
Tensor<[120]> running_var = ?,
float momentum = 0.03,
float eps = 0.001		 Done Done 0.999987 5
2 Tensor<[1, 128, 1, 1]> input = ?,
Optional[Tensor]<[128]> weight = ?,
Optional[Tensor]<[128]> bias = ?,
Tensor<[128]> running_mean = ?,
Tensor<[128]> running_var = ?,
float momentum = 0.03,
float eps = 0.001		 Done Done 0.999985 5
3 Tensor<[1, 128, 2, 2]> input = ?,
Optional[Tensor]<[128]> weight = ?,
Optional[Tensor]<[128]> bias = ?,
Tensor<[128]> running_mean = ?,
Tensor<[128]> running_var = ?,
float momentum = 0.03,
float eps = 0.001		 Done Done 0.999992 5
4 Tensor<[1, 128, 3, 3]> input = ?,
Optional[Tensor]<[128]> weight = ?,
Optional[Tensor]<[128]> bias = ?,
Tensor<[128]> running_mean = ?,
Tensor<[128]> running_var = ?,
float momentum = 0.03,
float eps = 0.001		 Done Done 0.99999 5
5 Tensor<[1, 128, 5, 5]> input = ?,
Optional[Tensor]<[128]> weight = ?,
Optional[Tensor]<[128]> bias = ?,
Tensor<[128]> running_mean = ?,
Tensor<[128]> running_var = ?,
float momentum = 0.03,
float eps = 0.001		 Done Done 0.999983 5
6 Tensor<[1, 16, 160, 160]> input = ?,
Optional[Tensor]<[16]> weight = ?,
Optional[Tensor]<[16]> bias = ?,
Tensor<[16]> running_mean = ?,
Tensor<[16]> running_var = ?,
float momentum = 0.03,
float eps = 0.001		 Done Done 0.999991 5
7 Tensor<[1, 184, 20, 20]> input = ?,
Optional[Tensor]<[184]> weight = ?,
Optional[Tensor]<[184]> bias = ?,
Tensor<[184]> running_mean = ?,
Tensor<[184]> running_var = ?,
float momentum = 0.03,
float eps = 0.001		 Done Done 0.999987 5
8 Tensor<[1, 200, 20, 20]> input = ?,
Optional[Tensor]<[200]> weight = ?,
Optional[Tensor]<[200]> bias = ?,
Tensor<[200]> running_mean = ?,
Tensor<[200]> running_var = ?,
float momentum = 0.03,
float eps = 0.001		 Done Done 0.999988 5
9 Tensor<[1, 24, 80, 80]> input = ?,
Optional[Tensor]<[24]> weight = ?,
Optional[Tensor]<[24]> bias = ?,
Tensor<[24]> running_mean = ?,
Tensor<[24]> running_var = ?,
float momentum = 0.03,
float eps = 0.001		 Done Done 0.99999 5
10 Tensor<[1, 240, 20, 20]> input = ?,
Optional[Tensor]<[240]> weight = ?,
Optional[Tensor]<[240]> bias = ?,
Tensor<[240]> running_mean = ?,
Tensor<[240]> running_var = ?,
float momentum = 0.03,
float eps = 0.001		 Done Done 0.99999 5
11 Tensor<[1, 240, 40, 40]> input = ?,
Optional[Tensor]<[240]> weight = ?,
Optional[Tensor]<[240]> bias = ?,
Tensor<[240]> running_mean = ?,
Tensor<[240]> running_var = ?,
float momentum = 0.03,
float eps = 0.001		 Done Done 0.999988 5
12 Tensor<[1, 256, 10, 10]> input = ?,
Optional[Tensor]<[256]> weight = ?,
Optional[Tensor]<[256]> bias = ?,
Tensor<[256]> running_mean = ?,
Tensor<[256]> running_var = ?,
float momentum = 0.03,
float eps = 0.001		 Done Done 0.999988 5
13 Tensor<[1, 256, 2, 2]> input = ?,
Optional[Tensor]<[256]> weight = ?,
Optional[Tensor]<[256]> bias = ?,
Tensor<[256]> running_mean = ?,
Tensor<[256]> running_var = ?,
float momentum = 0.03,
float eps = 0.001		 Done Done 0.99999 5
14 Tensor<[1, 256, 3, 3]> input = ?,
Optional[Tensor]<[256]> weight = ?,
Optional[Tensor]<[256]> bias = ?,
Tensor<[256]> running_mean = ?,
Tensor<[256]> running_var = ?,
float momentum = 0.03,
float eps = 0.001		 Done Done 0.999989 5
15 Tensor<[1, 256, 5, 5]> input = ?,
Optional[Tensor]<[256]> weight = ?,
Optional[Tensor]<[256]> bias = ?,
Tensor<[256]> running_mean = ?,
Tensor<[256]> running_var = ?,
float momentum = 0.03,
float eps = 0.001		 Done Done 0.999987 5
16 Tensor<[1, 40, 40, 40]> input = ?,
Optional[Tensor]<[40]> weight = ?,
Optional[Tensor]<[40]> bias = ?,
Tensor<[40]> running_mean = ?,
Tensor<[40]> running_var = ?,
float momentum = 0.03,
float eps = 0.001		 Done Done 0.99999 5
17 Tensor<[1, 480, 10, 10]> input = ?,
Optional[Tensor]<[480]> weight = ?,
Optional[Tensor]<[480]> bias = ?,
Tensor<[480]> running_mean = ?,
Tensor<[480]> running_var = ?,
float momentum = 0.03,
float eps = 0.001		 Done Done 0.999988 5
18 Tensor<[1, 480, 20, 20]> input = ?,
Optional[Tensor]<[480]> weight = ?,
Optional[Tensor]<[480]> bias = ?,
Tensor<[480]> running_mean = ?,
Tensor<[480]> running_var = ?,
float momentum = 0.03,
float eps = 0.001		 Done Done 0.999983 5
19 Tensor<[1, 512, 5, 5]> input = ?,
Optional[Tensor]<[512]> weight = ?,
Optional[Tensor]<[512]> bias = ?,
Tensor<[512]> running_mean = ?,
Tensor<[512]> running_var = ?,
float momentum = 0.03,
float eps = 0.001		 Done Done 0.999989 5
20 Tensor<[1, 64, 1, 1]> input = ?,
Optional[Tensor]<[64]> weight = ?,
Optional[Tensor]<[64]> bias = ?,
Tensor<[64]> running_mean = ?,
Tensor<[64]> running_var = ?,
float momentum = 0.03,
float eps = 0.001		 Done Done 0.999996 5
21 Tensor<[1, 64, 160, 160]> input = ?,
Optional[Tensor]<[64]> weight = ?,
Optional[Tensor]<[64]> bias = ?,
Tensor<[64]> running_mean = ?,
Tensor<[64]> running_var = ?,
float momentum = 0.03,
float eps = 0.001		 Done Done 0.999987 5
22 Tensor<[1, 64, 2, 2]> input = ?,
Optional[Tensor]<[64]> weight = ?,
Optional[Tensor]<[64]> bias = ?,
Tensor<[64]> running_mean = ?,
Tensor<[64]> running_var = ?,
float momentum = 0.03,
float eps = 0.001		 Done Done 0.999987 5
23 Tensor<[1, 64, 80, 80]> input = ?,
Optional[Tensor]<[64]> weight = ?,
Optional[Tensor]<[64]> bias = ?,
Tensor<[64]> running_mean = ?,
Tensor<[64]> running_var = ?,
float momentum = 0.03,
float eps = 0.001		 Done Done 0.999991 5
24 Tensor<[1, 672, 10, 10]> input = ?,
Optional[Tensor]<[672]> weight = ?,
Optional[Tensor]<[672]> bias = ?,
Tensor<[672]> running_mean = ?,
Tensor<[672]> running_var = ?,
float momentum = 0.03,
float eps = 0.001		 Done Done 0.999989 5
25 Tensor<[1, 672, 20, 20]> input = ?,
Optional[Tensor]<[672]> weight = ?,
Optional[Tensor]<[672]> bias = ?,
Tensor<[672]> running_mean = ?,
Tensor<[672]> running_var = ?,
float momentum = 0.03,
float eps = 0.001		 Done Done 0.999987 5
26 Tensor<[1, 72, 40, 40]> input = ?,
Optional[Tensor]<[72]> weight = ?,
Optional[Tensor]<[72]> bias = ?,
Tensor<[72]> running_mean = ?,
Tensor<[72]> running_var = ?,
float momentum = 0.03,
float eps = 0.001		 Done Done 0.999989 5
27 Tensor<[1, 72, 80, 80]> input = ?,
Optional[Tensor]<[72]> weight = ?,
Optional[Tensor]<[72]> bias = ?,
Tensor<[72]> running_mean = ?,
Tensor<[72]> running_var = ?,
float momentum = 0.03,
float eps = 0.001		 Done Done 0.99999 5
28 Tensor<[1, 80, 10, 10]> input = ?,
Optional[Tensor]<[80]> weight = ?,
Optional[Tensor]<[80]> bias = ?,
Tensor<[80]> running_mean = ?,
Tensor<[80]> running_var = ?,
float momentum = 0.03,
float eps = 0.001		 Done Done 0.999992 5
29 Tensor<[1, 80, 20, 20]> input = ?,
Optional[Tensor]<[80]> weight = ?,
Optional[Tensor]<[80]> bias = ?,
Tensor<[80]> running_mean = ?,
Tensor<[80]> running_var = ?,
float momentum = 0.03,
float eps = 0.001		 Done Done 0.999989 5

aten._unsafe_index.Tensor

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 3, 320, 320]> self = ?,
List[Optional[Tensor]] indices = [None, None, _folded_unsqueeze_6, _folded__to_copy_2]		 Removed Unknown N/A N/A
1 Tensor<[1, 3, 320, 320]> self = ?,
List[Optional[Tensor]] indices = [None, None, _folded_unsqueeze_6, _folded__to_copy_3]		 Removed Unknown N/A N/A
2 Tensor<[1, 3, 320, 320]> self = ?,
List[Optional[Tensor]] indices = [None, None, _folded_unsqueeze_7, _folded__to_copy_2]		 Removed Unknown N/A N/A
3 Tensor<[1, 3, 320, 320]> self = ?,
List[Optional[Tensor]] indices = [None, None, _folded_unsqueeze_7, _folded__to_copy_3]		 Removed Unknown N/A N/A

aten._unsafe_view.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 10, 10, 6, 4]> self = ?,
List[int] size = [1, 600, 4]		 Done Done 1 -1
1 Tensor<[1, 10, 10, 6, 91]> self = ?,
List[int] size = [1, 600, 91]		 Done Done 1 -1
2 Tensor<[1, 2, 2, 6, 4]> self = ?,
List[int] size = [1, 24, 4]		 Done Done 1 -1
3 Tensor<[1, 2, 2, 6, 91]> self = ?,
List[int] size = [1, 24, 91]		 Done Done 1 -1
4 Tensor<[1, 20, 20, 6, 4]> self = ?,
List[int] size = [1, 2400, 4]		 Done Done 1 -1
5 Tensor<[1, 20, 20, 6, 91]> self = ?,
List[int] size = [1, 2400, 91]		 Done Done 1 -1
6 Tensor<[1, 3, 3, 6, 4]> self = ?,
List[int] size = [1, 54, 4]		 Done Done 1 -1
7 Tensor<[1, 3, 3, 6, 91]> self = ?,
List[int] size = [1, 54, 91]		 Done Done 1 -1
8 Tensor<[1, 5, 5, 6, 4]> self = ?,
List[int] size = [1, 150, 4]		 Done Done 1 -1
9 Tensor<[1, 5, 5, 6, 91]> self = ?,
List[int] size = [1, 150, 91]		 Done Done 1 -1
10 Tensor<[10, 10]> self = ?,
List[int] size = [100]		 Done Done 1 -1
11 Tensor<[2, 2]> self = ?,
List[int] size = [4]		 Done Done 1 -1
12 Tensor<[20, 20]> self = ?,
List[int] size = [400]		 Done Done 1 -1
13 Tensor<[3, 3]> self = ?,
List[int] size = [9]		 Done Done 1 -1
14 Tensor<[5, 5]> self = ?,
List[int] size = [25]		 Done Done 1 -1

aten.add.Tensor

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 112, 20, 20]> self = ?,
Tensor<[1, 112, 20, 20]> other = ?		 Done Done 0.999998 0
1 Tensor<[1, 16, 160, 160]> self = ?,
Tensor<[1, 16, 160, 160]> other = ?		 Done Done 0.999998 0
2 Tensor<[1, 24, 80, 80]> self = ?,
Tensor<[1, 24, 80, 80]> other = ?		 Done Done 0.999998 0
3 Tensor<[1, 3, 320, 320]> self = ?,
Tensor<[1, 3, 320, 320]> other = ?		 Removed Done 0.999998 0
4 Tensor<[1, 40, 40, 40]> self = ?,
Tensor<[1, 40, 40, 40]> other = ?		 Done Done 0.999998 0
5 Tensor<[1, 80, 10, 10]> self = ?,
Tensor<[1, 80, 10, 10]> other = ?		 Done Done 0.999998 0
6 Tensor<[1, 80, 20, 20]> self = ?,
Tensor<[1, 80, 20, 20]> other = ?		 Done Done 0.999998 0
7 Tensor<[3234, 2]> self = ?,
Tensor<[3234, 2]> other = ?		 Done Done 0.999998 0

aten.cat.default

ATen Input Variations Status Isolated PCC Host
0 List[Tensor] tensors = [<[1, 2400, 4]>, <[1, 600, 4]>, <[1, 150, 4]>, <[1, 54, 4]>, <[1, 24, 4]>, <[1, 6, 4]>],
int dim = 1		 Done Done 1 0
1 List[Tensor] tensors = [<[1, 2400, 91]>, <[1, 600, 91]>, <[1, 150, 91]>, <[1, 54, 91]>, <[1, 24, 91]>, <[1, 6, 91]>],
int dim = 1		 Done Done 1 0
2 List[Tensor] tensors = [<[150, 2]>, <[150, 2]>],
int dim = 1		 Done Done 1 0
3 List[Tensor] tensors = [<[24, 2]>, <[24, 2]>],
int dim = 1		 Done Done 1 0
4 List[Tensor] tensors = [<[2400, 2]>, <[2400, 2]>],
int dim = 1		 Done Done 1 0
5 List[Tensor] tensors = [<[2400, 4]>, <[600, 4]>, <[150, 4]>, <[54, 4]>, <[24, 4]>, <[6, 4]>] Done Done 1 0
6 List[Tensor] tensors = [<[3234, 2]>, <[3234, 2]>],
int dim = -1		 Done Done 1 0
7 List[Tensor] tensors = [<[54, 2]>, <[54, 2]>],
int dim = 1		 Done Done 1 0
8 List[Tensor] tensors = [<[6, 2]>, <[6, 2]>],
int dim = 1		 Done Done 1 0
9 List[Tensor] tensors = [<[600, 2]>, <[600, 2]>],
int dim = 1		 Done Done 1 0

aten.clamp.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[6, 2]> self = ?,
Optional[number] min = 0,
Optional[number] max = 1		 Done Done 1 0

aten.clone.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 10, 10, 6, 4]> self = ?,
Optional[int] memory_format = torch.contiguous_format		 Done Done 1 0
1 Tensor<[1, 10, 10, 6, 91]> self = ?,
Optional[int] memory_format = torch.contiguous_format		 Done Done 1 0
2 Tensor<[1, 2, 2, 6, 4]> self = ?,
Optional[int] memory_format = torch.contiguous_format		 Done Done 1 0
3 Tensor<[1, 2, 2, 6, 91]> self = ?,
Optional[int] memory_format = torch.contiguous_format		 Done Done 1 0
4 Tensor<[1, 20, 20, 6, 4]> self = ?,
Optional[int] memory_format = torch.contiguous_format		 Done Done 1 0
5 Tensor<[1, 20, 20, 6, 91]> self = ?,
Optional[int] memory_format = torch.contiguous_format		 Done Done 1 0
6 Tensor<[1, 3, 3, 6, 4]> self = ?,
Optional[int] memory_format = torch.contiguous_format		 Done Done 1 0
7 Tensor<[1, 3, 3, 6, 91]> self = ?,
Optional[int] memory_format = torch.contiguous_format		 Done Done 1 0
8 Tensor<[1, 5, 5, 6, 4]> self = ?,
Optional[int] memory_format = torch.contiguous_format		 Done Done 1 0
9 Tensor<[1, 5, 5, 6, 91]> self = ?,
Optional[int] memory_format = torch.contiguous_format		 Done Done 1 0
10 Tensor<[10, 10]> self = ?,
Optional[int] memory_format = torch.contiguous_format		 Done Done 1 0
11 Tensor<[2, 2]> self = ?,
Optional[int] memory_format = torch.contiguous_format		 Done Done 1 0
12 Tensor<[20, 20]> self = ?,
Optional[int] memory_format = torch.contiguous_format		 Done Done 1 0
13 Tensor<[3, 3]> self = ?,
Optional[int] memory_format = torch.contiguous_format		 Done Done 1 0
14 Tensor<[5, 5]> self = ?,
Optional[int] memory_format = torch.contiguous_format		 Done Done 1 0

aten.convolution.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 112, 20, 20]> input = ?,
Tensor<[672, 112, 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
1 Tensor<[1, 120, 1, 1]> input = ?,
Tensor<[32, 120, 1, 1]> weight = ?,
Optional[Tensor]<[32]> 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 0.999981 6
2 Tensor<[1, 120, 1, 1]> input = ?,
Tensor<[480, 120, 1, 1]> weight = ?,
Optional[Tensor]<[480]> 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 0.999983 6
3 Tensor<[1, 120, 40, 40]> input = ?,
Tensor<[120, 1, 5, 5]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [2, 2],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 120		 Done Done 0.999959 4
4 Tensor<[1, 120, 40, 40]> input = ?,
Tensor<[40, 120, 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 0.999979 4
5 Tensor<[1, 128, 1, 1]> input = ?,
Tensor<[128, 1, 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 = 128		 Done Done 0.999996 4
6 Tensor<[1, 128, 1, 1]> input = ?,
Tensor<[24, 128, 1, 1]> weight = ?,
Optional[Tensor]<[24]> 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 0.99998 6
7 Tensor<[1, 128, 1, 1]> input = ?,
Tensor<[546, 128, 1, 1]> weight = ?,
Optional[Tensor]<[546]> 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 0.999978 6
8 Tensor<[1, 128, 2, 2]> input = ?,
Tensor<[256, 128, 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 0.99998 4
9 Tensor<[1, 128, 3, 3]> input = ?,
Tensor<[128, 1, 3, 3]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [2, 2],
List[int] padding = [1, 1],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 128		 Done Done 0.999991 4
10 Tensor<[1, 128, 3, 3]> input = ?,
Tensor<[256, 128, 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 0.99998 4
11 Tensor<[1, 128, 5, 5]> input = ?,
Tensor<[128, 1, 3, 3]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [2, 2],
List[int] padding = [1, 1],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 128		 Done Done 0.999988 4
12 Tensor<[1, 16, 160, 160]> input = ?,
Tensor<[16, 1, 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 = 16		 Done Done 0.999982 4
13 Tensor<[1, 16, 160, 160]> input = ?,
Tensor<[16, 16, 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 0.999992 4
14 Tensor<[1, 16, 160, 160]> input = ?,
Tensor<[64, 16, 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 0.999992 4
15 Tensor<[1, 168, 1, 1]> input = ?,
Tensor<[672, 168, 1, 1]> weight = ?,
Optional[Tensor]<[672]> 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 0.99998 6
16 Tensor<[1, 184, 20, 20]> input = ?,
Tensor<[184, 1, 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 = 184		 Done Done 0.999984 4
17 Tensor<[1, 184, 20, 20]> input = ?,
Tensor<[80, 184, 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 0.99998 4
18 Tensor<[1, 200, 20, 20]> input = ?,
Tensor<[200, 1, 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 = 200		 Done Done 0.999983 4
19 Tensor<[1, 200, 20, 20]> input = ?,
Tensor<[80, 200, 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
20 Tensor<[1, 24, 1, 1]> input = ?,
Tensor<[72, 24, 1, 1]> weight = ?,
Optional[Tensor]<[72]> 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 0.999989 6
21 Tensor<[1, 24, 80, 80]> input = ?,
Tensor<[72, 24, 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 0.999989 4
22 Tensor<[1, 240, 20, 20]> input = ?,
Tensor<[80, 240, 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 0.999981 4
23 Tensor<[1, 240, 40, 40]> input = ?,
Tensor<[240, 1, 3, 3]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [2, 2],
List[int] padding = [1, 1],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 240		 Done Done 0.999983 4
24 Tensor<[1, 256, 10, 10]> input = ?,
Tensor<[256, 1, 3, 3]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [2, 2],
List[int] padding = [1, 1],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 256		 Done Done 0.999985 4
25 Tensor<[1, 256, 2, 2]> input = ?,
Tensor<[24, 256, 1, 1]> weight = ?,
Optional[Tensor]<[24]> 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 0.999977 6
26 Tensor<[1, 256, 2, 2]> input = ?,
Tensor<[256, 1, 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 = 256		 Done Done 0.999989 4
27 Tensor<[1, 256, 2, 2]> input = ?,
Tensor<[546, 256, 1, 1]> weight = ?,
Optional[Tensor]<[546]> 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 0.999976 6
28 Tensor<[1, 256, 2, 2]> input = ?,
Tensor<[64, 256, 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 0.999972 4
29 Tensor<[1, 256, 3, 3]> input = ?,
Tensor<[128, 256, 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 0.999976 4
30 Tensor<[1, 256, 3, 3]> input = ?,
Tensor<[24, 256, 1, 1]> weight = ?,
Optional[Tensor]<[24]> 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 0.999978 6
31 Tensor<[1, 256, 3, 3]> input = ?,
Tensor<[256, 1, 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 = 256		 Done Done 0.999989 4
32 Tensor<[1, 256, 3, 3]> input = ?,
Tensor<[546, 256, 1, 1]> weight = ?,
Optional[Tensor]<[546]> 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 0.999976 6
33 Tensor<[1, 256, 5, 5]> input = ?,
Tensor<[512, 256, 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 0.999975 4
34 Tensor<[1, 3, 320, 320]> input = ?,
Tensor<[16, 3, 3, 3]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [2, 2],
List[int] padding = [1, 1],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999981 4
35 Tensor<[1, 32, 1, 1]> input = ?,
Tensor<[120, 32, 1, 1]> weight = ?,
Optional[Tensor]<[120]> 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 0.99999 6
36 Tensor<[1, 40, 40, 40]> input = ?,
Tensor<[120, 40, 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 0.999988 4
37 Tensor<[1, 40, 40, 40]> input = ?,
Tensor<[240, 40, 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 0.999988 4
38 Tensor<[1, 480, 1, 1]> input = ?,
Tensor<[120, 480, 1, 1]> weight = ?,
Optional[Tensor]<[120]> 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 0.999969 6
39 Tensor<[1, 480, 10, 10]> input = ?,
Tensor<[24, 480, 1, 1]> weight = ?,
Optional[Tensor]<[24]> 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 0.999974 6
40 Tensor<[1, 480, 10, 10]> input = ?,
Tensor<[256, 480, 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 0.999974 4
41 Tensor<[1, 480, 10, 10]> input = ?,
Tensor<[480, 1, 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 = 480		 Done Done 0.999984 4
42 Tensor<[1, 480, 10, 10]> input = ?,
Tensor<[480, 1, 5, 5]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [2, 2],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 480		 Done Done 0.999965 4
43 Tensor<[1, 480, 10, 10]> input = ?,
Tensor<[546, 480, 1, 1]> weight = ?,
Optional[Tensor]<[546]> 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 6
44 Tensor<[1, 480, 10, 10]> input = ?,
Tensor<[80, 480, 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
45 Tensor<[1, 480, 20, 20]> input = ?,
Tensor<[112, 480, 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 0.999974 4
46 Tensor<[1, 480, 20, 20]> input = ?,
Tensor<[480, 1, 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 = 480		 Done Done 0.999984 4
47 Tensor<[1, 512, 5, 5]> input = ?,
Tensor<[128, 512, 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 0.999972 4
48 Tensor<[1, 512, 5, 5]> input = ?,
Tensor<[24, 512, 1, 1]> weight = ?,
Optional[Tensor]<[24]> 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 0.99997 6
49 Tensor<[1, 512, 5, 5]> input = ?,
Tensor<[512, 1, 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 = 512		 Done Done 0.999986 4
50 Tensor<[1, 512, 5, 5]> input = ?,
Tensor<[546, 512, 1, 1]> weight = ?,
Optional[Tensor]<[546]> 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 0.99997 6
51 Tensor<[1, 64, 1, 1]> input = ?,
Tensor<[128, 64, 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 0.999983 4
52 Tensor<[1, 64, 160, 160]> input = ?,
Tensor<[64, 1, 3, 3]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [2, 2],
List[int] padding = [1, 1],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 64		 Done Done 0.999984 4
53 Tensor<[1, 64, 2, 2]> input = ?,
Tensor<[64, 1, 3, 3]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [2, 2],
List[int] padding = [1, 1],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 64		 Done Done 0.999991 4
54 Tensor<[1, 64, 80, 80]> input = ?,
Tensor<[24, 64, 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 0.999986 4
55 Tensor<[1, 672, 1, 1]> input = ?,
Tensor<[168, 672, 1, 1]> weight = ?,
Optional[Tensor]<[168]> 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 0.999964 6
56 Tensor<[1, 672, 10, 10]> input = ?,
Tensor<[80, 672, 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 0.999968 4
57 Tensor<[1, 672, 20, 20]> input = ?,
Tensor<[112, 672, 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 0.99997 4
58 Tensor<[1, 672, 20, 20]> input = ?,
Tensor<[24, 672, 1, 1]> weight = ?,
Optional[Tensor]<[24]> 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 0.999968 6
59 Tensor<[1, 672, 20, 20]> input = ?,
Tensor<[546, 672, 1, 1]> weight = ?,
Optional[Tensor]<[546]> 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 0.999968 6
60 Tensor<[1, 672, 20, 20]> input = ?,
Tensor<[672, 1, 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 = 672		 Done Done 0.999984 4
61 Tensor<[1, 672, 20, 20]> input = ?,
Tensor<[672, 1, 5, 5]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [2, 2],
List[int] padding = [2, 2],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 672		 Done Done 0.999961 4
62 Tensor<[1, 72, 1, 1]> input = ?,
Tensor<[24, 72, 1, 1]> weight = ?,
Optional[Tensor]<[24]> 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 0.99999 6
63 Tensor<[1, 72, 40, 40]> input = ?,
Tensor<[40, 72, 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 0.999986 4
64 Tensor<[1, 72, 80, 80]> input = ?,
Tensor<[24, 72, 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 0.999986 4
65 Tensor<[1, 72, 80, 80]> input = ?,
Tensor<[72, 1, 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 = 72		 Done Done 0.999984 4
66 Tensor<[1, 72, 80, 80]> input = ?,
Tensor<[72, 1, 5, 5]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [2, 2],
List[int] padding = [2, 2],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 72		 Done Done 0.999959 4
67 Tensor<[1, 80, 10, 10]> input = ?,
Tensor<[480, 80, 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 0.999986 4
68 Tensor<[1, 80, 20, 20]> input = ?,
Tensor<[184, 80, 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 0.999986 4
69 Tensor<[1, 80, 20, 20]> input = ?,
Tensor<[200, 80, 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 0.999986 4
70 Tensor<[1, 80, 20, 20]> input = ?,
Tensor<[480, 80, 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 0.999986 4

aten.div.Tensor

ATen Input Variations Status Isolated PCC Host
0 Tensor self = ?,
Tensor other = 1		 Done Unknown N/A N/A
1 Tensor self = ?,
Tensor other = 10		 Done Unknown N/A N/A
2 Tensor self = ?,
Tensor other = 2		 Done Unknown N/A N/A
3 Tensor self = ?,
Tensor other = 20		 Done Unknown N/A N/A
4 Tensor self = ?,
Tensor other = 3		 Done Unknown N/A N/A
5 Tensor self = ?,
Tensor other = 5		 Done Unknown N/A N/A
6 Tensor<[3, 320, 320]> self = ?,
Tensor<[3, 1, 1]> other = ?		 Removed Done 0.9999924581034666 0

aten.expand.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 10]> self = ?,
List[int] size = [10, 10]		 Done Done 1 2
1 Tensor<[1, 1]> self = ?,
List[int] size = [1, 1]		 Removed Done 1 -1
2 Tensor<[1, 20]> self = ?,
List[int] size = [20, 20]		 Done Done 1 2
3 Tensor<[1, 2]> self = ?,
List[int] size = [2, 2]		 Done Done 1 2
4 Tensor<[1, 3]> self = ?,
List[int] size = [3, 3]		 Done Done 1 0
5 Tensor<[1, 5]> self = ?,
List[int] size = [5, 5]		 Done Done 1 0
6 Tensor<[10, 1]> self = ?,
List[int] size = [10, 10]		 None Fallback 1 -1
7 Tensor<[2, 1]> self = ?,
List[int] size = [2, 2]		 None Fallback 1 -1
8 Tensor<[20, 1]> self = ?,
List[int] size = [20, 20]		 None Fallback 1 -1
9 Tensor<[3, 1]> self = ?,
List[int] size = [3, 3]		 None Fallback 1 -1
10 Tensor<[5, 1]> self = ?,
List[int] size = [5, 5]		 None Fallback 1 -1

aten.full.default

ATen Input Variations Status Isolated PCC Host
0 List[int] size = [1, 3, 320, 320],
number fill_value = 0,
Optional[bool] pin_memory = False,
Optional[int] dtype = torch.float32		 Done Unknown N/A N/A

aten.hardsigmoid.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 120, 1, 1]> self = ? Done Done 0.999987 0
1 Tensor<[1, 480, 1, 1]> self = ? Done Done 0.999986 0
2 Tensor<[1, 672, 1, 1]> self = ? Done Done 0.999986 0
3 Tensor<[1, 72, 1, 1]> self = ? Done Done 0.999984 0

aten.hardswish.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 16, 160, 160]> self = ? Done Done 0.999993 0
1 Tensor<[1, 184, 20, 20]> self = ? Done Done 0.999993 0
2 Tensor<[1, 200, 20, 20]> self = ? Done Done 0.999993 0
3 Tensor<[1, 240, 20, 20]> self = ? Done Done 0.999993 0
4 Tensor<[1, 240, 40, 40]> self = ? Done Done 0.999993 0
5 Tensor<[1, 480, 10, 10]> self = ? Done Done 0.999993 0
6 Tensor<[1, 480, 20, 20]> self = ? Done Done 0.999993 0
7 Tensor<[1, 672, 10, 10]> self = ? Done Done 0.999994 0
8 Tensor<[1, 672, 20, 20]> self = ? Done Done 0.999993 0

aten.hardtanh.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 128, 1, 1]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
1 Tensor<[1, 128, 2, 2]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
2 Tensor<[1, 128, 3, 3]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
3 Tensor<[1, 128, 5, 5]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
4 Tensor<[1, 256, 10, 10]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
5 Tensor<[1, 256, 2, 2]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
6 Tensor<[1, 256, 3, 3]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
7 Tensor<[1, 256, 5, 5]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
8 Tensor<[1, 480, 10, 10]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
9 Tensor<[1, 512, 5, 5]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
10 Tensor<[1, 64, 1, 1]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
11 Tensor<[1, 64, 2, 2]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
12 Tensor<[1, 672, 20, 20]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0

aten.mean.dim

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 120, 40, 40]> self = ?,
Optional[List[int]] dim = [-1, -2],
bool keepdim = True		 Done Done 0.999997 0
1 Tensor<[1, 480, 10, 10]> self = ?,
Optional[List[int]] dim = [-1, -2],
bool keepdim = True		 Done Done 0.999996 0
2 Tensor<[1, 480, 20, 20]> self = ?,
Optional[List[int]] dim = [-1, -2],
bool keepdim = True		 Done Done 0.999996 0
3 Tensor<[1, 672, 10, 10]> self = ?,
Optional[List[int]] dim = [-1, -2],
bool keepdim = True		 Done Done 0.999996 0
4 Tensor<[1, 672, 20, 20]> self = ?,
Optional[List[int]] dim = [-1, -2],
bool keepdim = True		 Done Done 0.999996 0
5 Tensor<[1, 72, 40, 40]> self = ?,
Optional[List[int]] dim = [-1, -2],
bool keepdim = True		 Done Done 0.999997 0

aten.mul.Tensor

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 120, 1, 1]> self = ?,
Tensor<[1, 120, 40, 40]> other = ?		 Done Done 0.999995973606153 0
1 Tensor<[1, 3, 320, 320]> self = ?,
Tensor other = ?		 Removed Unknown N/A N/A
2 Tensor<[1, 3, 320, 320]> self = ?,
Tensor<[320, 1]> other = ?		 Removed Done 0.9999958540739142 0
3 Tensor<[1, 3, 320, 320]> self = ?,
Tensor<[320]> other = ?		 Removed Done 0.9999958599824168 0
4 Tensor<[1, 480, 1, 1]> self = ?,
Tensor<[1, 480, 10, 10]> other = ?		 Done Done 0.9999960435990212 0
5 Tensor<[1, 480, 1, 1]> self = ?,
Tensor<[1, 480, 20, 20]> other = ?		 Done Done 0.9999960041276886 0
6 Tensor<[1, 672, 1, 1]> self = ?,
Tensor<[1, 672, 10, 10]> other = ?		 Done Done 0.9999959576014011 0
7 Tensor<[1, 672, 1, 1]> self = ?,
Tensor<[1, 672, 20, 20]> other = ?		 Done Done 0.999995933229549 0
8 Tensor<[1, 72, 1, 1]> self = ?,
Tensor<[1, 72, 40, 40]> other = ?		 Done Done 0.9999956644387401 0
9 Tensor<[3234, 2]> self = ?,
Tensor other = 0.5		 Done Done 1.0 0
10 Tensor<[3234, 2]> self = ?,
Tensor other = ?		 Done Unknown N/A N/A

aten.new_full.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[3, 320, 320]> self = ?,
List[int] size = [1, 3, 320, 320],
number fill_value = 0,
Optional[bool] pin_memory = False		 Removed Done 1 0

aten.permute.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 6, 4, 1, 1]> self = ?,
List[int] dims = [0, 3, 4, 1, 2]		 Done Done 1 0
1 Tensor<[1, 6, 4, 10, 10]> self = ?,
List[int] dims = [0, 3, 4, 1, 2]		 Done Done 1 0
2 Tensor<[1, 6, 4, 2, 2]> self = ?,
List[int] dims = [0, 3, 4, 1, 2]		 Done Done 1 0
3 Tensor<[1, 6, 4, 20, 20]> self = ?,
List[int] dims = [0, 3, 4, 1, 2]		 Done Done 1 0
4 Tensor<[1, 6, 4, 3, 3]> self = ?,
List[int] dims = [0, 3, 4, 1, 2]		 Done Done 1 0
5 Tensor<[1, 6, 4, 5, 5]> self = ?,
List[int] dims = [0, 3, 4, 1, 2]		 Done Done 1 0
6 Tensor<[1, 6, 91, 1, 1]> self = ?,
List[int] dims = [0, 3, 4, 1, 2]		 Done Done 1 0
7 Tensor<[1, 6, 91, 10, 10]> self = ?,
List[int] dims = [0, 3, 4, 1, 2]		 Done Done 1 0
8 Tensor<[1, 6, 91, 2, 2]> self = ?,
List[int] dims = [0, 3, 4, 1, 2]		 Done Done 1 0
9 Tensor<[1, 6, 91, 20, 20]> self = ?,
List[int] dims = [0, 3, 4, 1, 2]		 Done Done 1 0
10 Tensor<[1, 6, 91, 3, 3]> self = ?,
List[int] dims = [0, 3, 4, 1, 2]		 Done Done 1 0
11 Tensor<[1, 6, 91, 5, 5]> self = ?,
List[int] dims = [0, 3, 4, 1, 2]		 Done Done 1 0

aten.relu.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 120, 1, 1]> self = ? Done Done 1 0
1 Tensor<[1, 120, 40, 40]> self = ? Done Done 1 0
2 Tensor<[1, 16, 160, 160]> self = ? Done Done 1 0
3 Tensor<[1, 168, 1, 1]> self = ? Done Done 1 0
4 Tensor<[1, 24, 1, 1]> self = ? Done Done 1 0
5 Tensor<[1, 32, 1, 1]> self = ? Done Done 1 0
6 Tensor<[1, 64, 160, 160]> self = ? Done Done 1 0
7 Tensor<[1, 64, 80, 80]> self = ? Done Done 1 0
8 Tensor<[1, 72, 40, 40]> self = ? Done Done 1 0
9 Tensor<[1, 72, 80, 80]> self = ? Done Done 1 0

aten.repeat.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[6, 2]> self = ?,
List[int] repeats = [1, 1]		 Removed Done 1 -1
1 Tensor<[6, 2]> self = ?,
List[int] repeats = [100, 1]		 Done Done 1 0
2 Tensor<[6, 2]> self = ?,
List[int] repeats = [25, 1]		 Done Done 1 0
3 Tensor<[6, 2]> self = ?,
List[int] repeats = [4, 1]		 Done Done 1 0
4 Tensor<[6, 2]> self = ?,
List[int] repeats = [400, 1]		 Done Done 1 0
5 Tensor<[6, 2]> self = ?,
List[int] repeats = [9, 1]		 Done Done 1 0

aten.rsub.Scalar

ATen Input Variations Status Isolated PCC Host
0 Tensor self = ?,
number other = 1.0		 Removed Unknown N/A N/A

aten.select.int

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 3, 320, 320]> self = ?,
int dim = 0,
int index = 0		 Removed Done 1 0

aten.slice.Tensor

ATen Input Variations Status Isolated PCC Host
0 Tensor self = ?,
int dim = 0,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Unknown N/A N/A
1 Tensor<[3234, 4]> self = ?,
int dim = 0,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1.0 -1
2 Tensor<[3234, 4]> self = ?,
int dim = 1,
Optional[int] start = 0,
Optional[int] end = 2		 Done Done 1.0 -1
3 Tensor<[3234, 4]> self = ?,
int dim = 1,
Optional[int] start = 2,
Optional[int] end = 9223372036854775807		 Done Done 1.0 -1

aten.stack.default

ATen Input Variations Status Isolated PCC Host
0 List[Tensor] tensors = [<[100]>, <[100]>, <[100]>, <[100]>, <[100]>, <[100]>, <[100]>, <[100]>, <[100]>, <[100]>, <[100]>, <[100]>],
int dim = -1		 Done Done 1 0
1 List[Tensor] tensors = [<[1]>, <[1]>, <[1]>, <[1]>, <[1]>, <[1]>, <[1]>, <[1]>, <[1]>, <[1]>, <[1]>, <[1]>],
int dim = -1		 Done Done 1 0
2 List[Tensor] tensors = [<[25]>, <[25]>, <[25]>, <[25]>, <[25]>, <[25]>, <[25]>, <[25]>, <[25]>, <[25]>, <[25]>, <[25]>],
int dim = -1		 Done Done 1 0
3 List[Tensor] tensors = [<[400]>, <[400]>, <[400]>, <[400]>, <[400]>, <[400]>, <[400]>, <[400]>, <[400]>, <[400]>, <[400]>, <[400]>],
int dim = -1		 Done Done 1 0
4 List[Tensor] tensors = [<[4]>, <[4]>, <[4]>, <[4]>, <[4]>, <[4]>, <[4]>, <[4]>, <[4]>, <[4]>, <[4]>, <[4]>],
int dim = -1		 Done Done 1 0
5 List[Tensor] tensors = [<[9]>, <[9]>, <[9]>, <[9]>, <[9]>, <[9]>, <[9]>, <[9]>, <[9]>, <[9]>, <[9]>, <[9]>],
int dim = -1		 Done Done 1 0

aten.sub.Tensor

ATen Input Variations Status Isolated PCC Host
0 Tensor<[3, 320, 320]> self = ?,
Tensor<[3, 1, 1]> other = ?		 Removed Done 0.999997 0
1 Tensor<[3234, 2]> self = ?,
Tensor<[3234, 2]> other = ?		 Done Done 0.999998 0

aten.unsqueeze.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[3, 1]> self = ?,
int dim = 2		 Removed Done 1 -1
1 Tensor<[3, 320, 320]> self = ?,
int dim = 0		 Removed Done 1 -1
2 Tensor<[3]> self = ?,
int dim = 1		 Removed Done 1 -1

aten.view.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1, 1, 6, 4]> self = ?,
List[int] size = [1, -1, 4]		 Done Done 1 -1
1 Tensor<[1, 1, 1, 6, 91]> self = ?,
List[int] size = [1, -1, 91]		 Done Done 1 -1
2 Tensor<[1, 12]> self = ?,
List[int] size = [-1, 2]		 Done Done 1 -1
3 Tensor<[1, 1]> self = ?,
List[int] size = [-1]		 Done Done 1 -1
4 Tensor<[1, 24, 1, 1]> self = ?,
List[int] size = [1, -1, 4, 1, 1]		 Done Done 1 -1
5 Tensor<[1, 24, 10, 10]> self = ?,
List[int] size = [1, -1, 4, 10, 10]		 Done Done 1 -1
6 Tensor<[1, 24, 2, 2]> self = ?,
List[int] size = [1, -1, 4, 2, 2]		 Done Done 1 -1
7 Tensor<[1, 24, 20, 20]> self = ?,
List[int] size = [1, -1, 4, 20, 20]		 Done Done 1 -1
8 Tensor<[1, 24, 3, 3]> self = ?,
List[int] size = [1, -1, 4, 3, 3]		 Done Done 1 -1
9 Tensor<[1, 24, 5, 5]> self = ?,
List[int] size = [1, -1, 4, 5, 5]		 Done Done 1 -1
10 Tensor<[1, 546, 1, 1]> self = ?,
List[int] size = [1, -1, 91, 1, 1]		 Done Done 1 -1
11 Tensor<[1, 546, 10, 10]> self = ?,
List[int] size = [1, -1, 91, 10, 10]		 Done Done 1 -1
12 Tensor<[1, 546, 2, 2]> self = ?,
List[int] size = [1, -1, 91, 2, 2]		 Done Done 1 -1
13 Tensor<[1, 546, 20, 20]> self = ?,
List[int] size = [1, -1, 91, 20, 20]		 Done Done 1 -1
14 Tensor<[1, 546, 3, 3]> self = ?,
List[int] size = [1, -1, 91, 3, 3]		 Done Done 1 -1
15 Tensor<[1, 546, 5, 5]> self = ?,
List[int] size = [1, -1, 91, 5, 5]		 Done Done 1 -1
16 Tensor<[100, 12]> self = ?,
List[int] size = [-1, 2]		 Done Done 1 -1
17 Tensor<[10]> self = ?,
List[int] size = [-1, 1]		 Done Done 1 -1
18 Tensor<[10]> self = ?,
List[int] size = [1, -1]		 Done Done 1 -1
19 Tensor<[1]> self = ?,
List[int] size = [-1, 1]		 Done Done 1 -1
20 Tensor<[1]> self = ?,
List[int] size = [1, -1]		 Done Done 1 -1
21 Tensor<[20]> self = ?,
List[int] size = [-1, 1]		 Done Done 1 -1
22 Tensor<[20]> self = ?,
List[int] size = [1, -1]		 Done Done 1 -1
23 Tensor<[25, 12]> self = ?,
List[int] size = [-1, 2]		 Done Done 1 -1
24 Tensor<[2]> self = ?,
List[int] size = [-1, 1]		 Done Done 1 -1
25 Tensor<[2]> self = ?,
List[int] size = [1, -1]		 Done Done 1 -1
26 Tensor<[3]> self = ?,
List[int] size = [-1, 1]		 Done Done 1 -1
27 Tensor<[3]> self = ?,
List[int] size = [1, -1]		 Done Done 1 -1
28 Tensor<[4, 12]> self = ?,
List[int] size = [-1, 2]		 Done Done 1 -1
29 Tensor<[400, 12]> self = ?,
List[int] size = [-1, 2]		 Done Done 1 -1
30 Tensor<[5]> self = ?,
List[int] size = [-1, 1]		 Done Done 1 -1
31 Tensor<[5]> self = ?,
List[int] size = [1, -1]		 Done Done 1 -1
32 Tensor<[9, 12]> self = ?,
List[int] size = [-1, 2]		 Done Done 1 -1