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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 29 29 0 0 ✅ 1
1 aten.addmm.default 1 1 0 0 ✅ 1
2 aten.cat.default 32 32 0 0 ✅ 1
3 aten.clone.default 1 1 0 0 ✅ 1
4 aten.convolution.default 51 51 0 0 ✅ 1
5 aten.hardtanh.default 29 29 0 0 ✅ 1
6 aten.max_pool2d_with_indices.default 4 2 0 0 🚧 0.5
7 aten.mean.dim 1 1 0 0 ✅ 1
8 aten.t.default 1 1 0 0 ✅ 1
9 aten.view.default 1 1 0 0 ✅ 1

aten._native_batch_norm_legit_no_training.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1024, 7, 7]> input = ?,
Optional[Tensor]<[1024]> weight = ?,
Optional[Tensor]<[1024]> bias = ?,
Tensor<[1024]> running_mean = ?,
Tensor<[1024]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.99999 5
1 Tensor<[1, 116, 14, 14]> input = ?,
Optional[Tensor]<[116]> weight = ?,
Optional[Tensor]<[116]> bias = ?,
Tensor<[116]> running_mean = ?,
Tensor<[116]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.99999 5
2 Tensor<[1, 128, 56, 56]> input = ?,
Optional[Tensor]<[128]> weight = ?,
Optional[Tensor]<[128]> bias = ?,
Tensor<[128]> running_mean = ?,
Tensor<[128]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.999988 5
3 Tensor<[1, 134, 28, 28]> input = ?,
Optional[Tensor]<[134]> weight = ?,
Optional[Tensor]<[134]> bias = ?,
Tensor<[134]> running_mean = ?,
Tensor<[134]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.99999 5
4 Tensor<[1, 14, 56, 56]> input = ?,
Optional[Tensor]<[14]> weight = ?,
Optional[Tensor]<[14]> bias = ?,
Tensor<[14]> running_mean = ?,
Tensor<[14]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.999986 5
5 Tensor<[1, 16, 28, 28]> input = ?,
Optional[Tensor]<[16]> weight = ?,
Optional[Tensor]<[16]> bias = ?,
Tensor<[16]> running_mean = ?,
Tensor<[16]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.99999 5
6 Tensor<[1, 160, 7, 7]> input = ?,
Optional[Tensor]<[160]> weight = ?,
Optional[Tensor]<[160]> bias = ?,
Tensor<[160]> running_mean = ?,
Tensor<[160]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.999985 5
7 Tensor<[1, 168, 28, 28]> input = ?,
Optional[Tensor]<[168]> weight = ?,
Optional[Tensor]<[168]> bias = ?,
Tensor<[168]> running_mean = ?,
Tensor<[168]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.999989 5
8 Tensor<[1, 196, 14, 14]> input = ?,
Optional[Tensor]<[196]> weight = ?,
Optional[Tensor]<[196]> bias = ?,
Tensor<[196]> running_mean = ?,
Tensor<[196]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.99999 5
9 Tensor<[1, 20, 28, 28]> input = ?,
Optional[Tensor]<[20]> weight = ?,
Optional[Tensor]<[20]> bias = ?,
Tensor<[20]> running_mean = ?,
Tensor<[20]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.999991 5
10 Tensor<[1, 24, 56, 56]> input = ?,
Optional[Tensor]<[24]> weight = ?,
Optional[Tensor]<[24]> bias = ?,
Tensor<[24]> running_mean = ?,
Tensor<[24]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.999989 5
11 Tensor<[1, 256, 28, 28]> input = ?,
Optional[Tensor]<[256]> weight = ?,
Optional[Tensor]<[256]> bias = ?,
Tensor<[256]> running_mean = ?,
Tensor<[256]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.999989 5
12 Tensor<[1, 272, 7, 7]> input = ?,
Optional[Tensor]<[272]> weight = ?,
Optional[Tensor]<[272]> bias = ?,
Tensor<[272]> running_mean = ?,
Tensor<[272]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.999993 5
13 Tensor<[1, 28, 28, 28]> input = ?,
Optional[Tensor]<[28]> weight = ?,
Optional[Tensor]<[28]> bias = ?,
Tensor<[28]> running_mean = ?,
Tensor<[28]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.99998 5
14 Tensor<[1, 32, 112, 112]> input = ?,
Optional[Tensor]<[32]> weight = ?,
Optional[Tensor]<[32]> bias = ?,
Tensor<[32]> running_mean = ?,
Tensor<[32]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.999991 5
15 Tensor<[1, 320, 28, 28]> input = ?,
Optional[Tensor]<[320]> weight = ?,
Optional[Tensor]<[320]> bias = ?,
Tensor<[320]> running_mean = ?,
Tensor<[320]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.999987 5
16 Tensor<[1, 334, 14, 14]> input = ?,
Optional[Tensor]<[334]> weight = ?,
Optional[Tensor]<[334]> bias = ?,
Tensor<[334]> running_mean = ?,
Tensor<[334]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.999989 5
17 Tensor<[1, 34, 28, 28]> input = ?,
Optional[Tensor]<[34]> weight = ?,
Optional[Tensor]<[34]> bias = ?,
Tensor<[34]> running_mean = ?,
Tensor<[34]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.99999 5
18 Tensor<[1, 40, 14, 14]> input = ?,
Optional[Tensor]<[40]> weight = ?,
Optional[Tensor]<[40]> bias = ?,
Tensor<[40]> running_mean = ?,
Tensor<[40]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.99999 5
19 Tensor<[1, 40, 56, 56]> input = ?,
Optional[Tensor]<[40]> weight = ?,
Optional[Tensor]<[40]> bias = ?,
Tensor<[40]> running_mean = ?,
Tensor<[40]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.99999 5
20 Tensor<[1, 46, 28, 28]> input = ?,
Optional[Tensor]<[46]> weight = ?,
Optional[Tensor]<[46]> bias = ?,
Tensor<[46]> running_mean = ?,
Tensor<[46]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.999983 5
21 Tensor<[1, 462, 7, 7]> input = ?,
Optional[Tensor]<[462]> weight = ?,
Optional[Tensor]<[462]> bias = ?,
Tensor<[462]> running_mean = ?,
Tensor<[462]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.999989 5
22 Tensor<[1, 58, 28, 28]> input = ?,
Optional[Tensor]<[58]> weight = ?,
Optional[Tensor]<[58]> bias = ?,
Tensor<[58]> running_mean = ?,
Tensor<[58]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.999986 5
23 Tensor<[1, 64, 112, 112]> input = ?,
Optional[Tensor]<[64]> weight = ?,
Optional[Tensor]<[64]> bias = ?,
Tensor<[64]> running_mean = ?,
Tensor<[64]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.999989 5
24 Tensor<[1, 640, 14, 14]> input = ?,
Optional[Tensor]<[640]> weight = ?,
Optional[Tensor]<[640]> bias = ?,
Tensor<[640]> running_mean = ?,
Tensor<[640]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.999988 5
25 Tensor<[1, 68, 14, 14]> input = ?,
Optional[Tensor]<[68]> weight = ?,
Optional[Tensor]<[68]> bias = ?,
Tensor<[68]> running_mean = ?,
Tensor<[68]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.999988 5
26 Tensor<[1, 68, 56, 56]> input = ?,
Optional[Tensor]<[68]> weight = ?,
Optional[Tensor]<[68]> bias = ?,
Tensor<[68]> running_mean = ?,
Tensor<[68]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.99999 5
27 Tensor<[1, 78, 28, 28]> input = ?,
Optional[Tensor]<[78]> weight = ?,
Optional[Tensor]<[78]> bias = ?,
Tensor<[78]> running_mean = ?,
Tensor<[78]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.999991 5
28 Tensor<[1, 98, 28, 28]> input = ?,
Optional[Tensor]<[98]> weight = ?,
Optional[Tensor]<[98]> bias = ?,
Tensor<[98]> running_mean = ?,
Tensor<[98]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.99999 5

aten.addmm.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1000]> self = ?,
Tensor<[1, 1024]> mat1 = ?,
Tensor<[1024, 1000]> mat2 = ?		 Done Done 0.999964 0

aten.cat.default

ATen Input Variations Status Isolated PCC Host
0 List[Tensor] tensors = [<[1, 14, 56, 56]>, <[1, 14, 56, 56]>, <[1, 14, 56, 56]>, <[1, 14, 56, 56]>, <[1, 68, 56, 56]>],
int dim = 1		 Done Done 1 0
1 List[Tensor] tensors = [<[1, 14, 56, 56]>, <[1, 24, 56, 56]>, <[1, 40, 56, 56]>, <[1, 64, 56, 56]>],
int dim = 1		 Done Done 1 0
2 List[Tensor] tensors = [<[1, 14, 56, 56]>, <[1, 24, 56, 56]>, <[1, 64, 56, 56]>],
int dim = 1		 Done Done 1 0
3 List[Tensor] tensors = [<[1, 14, 56, 56]>, <[1, 40, 56, 56]>],
int dim = 1		 Done Done 1 0
4 List[Tensor] tensors = [<[1, 14, 56, 56]>, <[1, 64, 56, 56]>],
int dim = 1		 Done Done 1 0
5 List[Tensor] tensors = [<[1, 16, 28, 28]>, <[1, 128, 28, 28]>],
int dim = 1		 Done Done 1 0
6 List[Tensor] tensors = [<[1, 16, 28, 28]>, <[1, 16, 28, 28]>, <[1, 16, 28, 28]>, <[1, 16, 28, 28]>, <[1, 16, 28, 28]>, <[1, 16, 28, 28]>, <[1, 16, 28, 28]>, <[1, 16, 28, 28]>, <[1, 134, 28, 28]>],
int dim = 1		 Done Done 1 0
7 List[Tensor] tensors = [<[1, 16, 28, 28]>, <[1, 28, 28, 28]>, <[1, 128, 28, 28]>],
int dim = 1		 Done Done 1 0
8 List[Tensor] tensors = [<[1, 16, 28, 28]>, <[1, 28, 28, 28]>, <[1, 46, 28, 28]>, <[1, 128, 28, 28]>],
int dim = 1		 Done Done 1 0
9 List[Tensor] tensors = [<[1, 16, 28, 28]>, <[1, 28, 28, 28]>, <[1, 46, 28, 28]>, <[1, 78, 28, 28]>, <[1, 128, 28, 28]>],
int dim = 1		 Done Done 1 0
10 List[Tensor] tensors = [<[1, 16, 28, 28]>, <[1, 28, 28, 28]>, <[1, 78, 28, 28]>],
int dim = 1		 Done Done 1 0
11 List[Tensor] tensors = [<[1, 16, 28, 28]>, <[1, 46, 28, 28]>],
int dim = 1		 Done Done 1 0
12 List[Tensor] tensors = [<[1, 16, 28, 28]>, <[1, 78, 28, 28]>],
int dim = 1		 Done Done 1 0
13 List[Tensor] tensors = [<[1, 160, 7, 7]>, <[1, 160, 7, 7]>, <[1, 462, 7, 7]>],
int dim = 1		 Done Done 1 0
14 List[Tensor] tensors = [<[1, 160, 7, 7]>, <[1, 272, 7, 7]>, <[1, 640, 7, 7]>],
int dim = 1		 Done Done 1 0
15 List[Tensor] tensors = [<[1, 160, 7, 7]>, <[1, 640, 7, 7]>],
int dim = 1		 Done Done 1 0
16 List[Tensor] tensors = [<[1, 20, 28, 28]>, <[1, 20, 28, 28]>, <[1, 20, 28, 28]>, <[1, 20, 28, 28]>, <[1, 20, 28, 28]>, <[1, 20, 28, 28]>, <[1, 20, 28, 28]>, <[1, 20, 28, 28]>, <[1, 168, 28, 28]>],
int dim = 1		 Done Done 1 0
17 List[Tensor] tensors = [<[1, 20, 28, 28]>, <[1, 256, 28, 28]>],
int dim = 1		 Done Done 1 0
18 List[Tensor] tensors = [<[1, 20, 28, 28]>, <[1, 34, 28, 28]>, <[1, 256, 28, 28]>],
int dim = 1		 Done Done 1 0
19 List[Tensor] tensors = [<[1, 20, 28, 28]>, <[1, 34, 28, 28]>, <[1, 58, 28, 28]>, <[1, 256, 28, 28]>],
int dim = 1		 Done Done 1 0
20 List[Tensor] tensors = [<[1, 20, 28, 28]>, <[1, 34, 28, 28]>, <[1, 58, 28, 28]>, <[1, 98, 28, 28]>, <[1, 256, 28, 28]>],
int dim = 1		 Done Done 1 0
21 List[Tensor] tensors = [<[1, 20, 28, 28]>, <[1, 34, 28, 28]>, <[1, 98, 28, 28]>],
int dim = 1		 Done Done 1 0
22 List[Tensor] tensors = [<[1, 20, 28, 28]>, <[1, 58, 28, 28]>],
int dim = 1		 Done Done 1 0
23 List[Tensor] tensors = [<[1, 20, 28, 28]>, <[1, 98, 28, 28]>],
int dim = 1		 Done Done 1 0
24 List[Tensor] tensors = [<[1, 40, 14, 14]>, <[1, 116, 14, 14]>],
int dim = 1		 Done Done 1 0
25 List[Tensor] tensors = [<[1, 40, 14, 14]>, <[1, 196, 14, 14]>],
int dim = 1		 Done Done 1 0
26 List[Tensor] tensors = [<[1, 40, 14, 14]>, <[1, 320, 14, 14]>],
int dim = 1		 Done Done 1 0
27 List[Tensor] tensors = [<[1, 40, 14, 14]>, <[1, 40, 14, 14]>, <[1, 40, 14, 14]>, <[1, 40, 14, 14]>, <[1, 40, 14, 14]>, <[1, 40, 14, 14]>, <[1, 40, 14, 14]>, <[1, 40, 14, 14]>, <[1, 334, 14, 14]>],
int dim = 1		 Done Done 1 0
28 List[Tensor] tensors = [<[1, 40, 14, 14]>, <[1, 68, 14, 14]>, <[1, 116, 14, 14]>, <[1, 196, 14, 14]>, <[1, 320, 14, 14]>],
int dim = 1		 Done Done 1 0
29 List[Tensor] tensors = [<[1, 40, 14, 14]>, <[1, 68, 14, 14]>, <[1, 116, 14, 14]>, <[1, 320, 14, 14]>],
int dim = 1		 Done Done 1 0
30 List[Tensor] tensors = [<[1, 40, 14, 14]>, <[1, 68, 14, 14]>, <[1, 196, 14, 14]>],
int dim = 1		 Done Done 1 0
31 List[Tensor] tensors = [<[1, 40, 14, 14]>, <[1, 68, 14, 14]>, <[1, 320, 14, 14]>],
int dim = 1		 Done Done 1 0

aten.clone.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1024]> self = ? Done Done 1 0

aten.convolution.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 102, 56, 56]> input = ?,
Tensor<[40, 102, 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 0.999847 4
1 Tensor<[1, 1072, 7, 7]> input = ?,
Tensor<[462, 1072, 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 0.996959 4
2 Tensor<[1, 116, 14, 14]> input = ?,
Tensor<[40, 116, 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 0.999831 4
3 Tensor<[1, 118, 28, 28]> input = ?,
Tensor<[34, 118, 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 0.999825 4
4 Tensor<[1, 122, 28, 28]> input = ?,
Tensor<[46, 122, 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 0.99982 4
5 Tensor<[1, 124, 56, 56]> input = ?,
Tensor<[128, 124, 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
6 Tensor<[1, 128, 28, 28]> input = ?,
Tensor<[16, 128, 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 0.999816 4
7 Tensor<[1, 142, 56, 56]> input = ?,
Tensor<[68, 142, 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 0.999787 4
8 Tensor<[1, 144, 28, 28]> input = ?,
Tensor<[28, 144, 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 0.999787 4
9 Tensor<[1, 152, 28, 28]> input = ?,
Tensor<[58, 152, 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 0.99976 4
10 Tensor<[1, 156, 14, 14]> input = ?,
Tensor<[68, 156, 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 0.99977 4
11 Tensor<[1, 172, 28, 28]> input = ?,
Tensor<[46, 172, 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 0.999727 4
12 Tensor<[1, 196, 14, 14]> input = ?,
Tensor<[40, 196, 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 0.999672 4
13 Tensor<[1, 218, 28, 28]> input = ?,
Tensor<[78, 218, 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 0.99963 4
14 Tensor<[1, 236, 14, 14]> input = ?,
Tensor<[68, 236, 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 0.999615 4
15 Tensor<[1, 24, 56, 56]> input = ?,
Tensor<[14, 24, 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 0.999963 4
16 Tensor<[1, 256, 28, 28]> input = ?,
Tensor<[20, 256, 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 0.999561 4
17 Tensor<[1, 262, 28, 28]> input = ?,
Tensor<[256, 262, 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 0.999963 4
18 Tensor<[1, 272, 7, 7]> input = ?,
Tensor<[160, 272, 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 0.999566 4
19 Tensor<[1, 276, 28, 28]> input = ?,
Tensor<[34, 276, 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 0.999485 4
20 Tensor<[1, 28, 28, 28]> input = ?,
Tensor<[16, 28, 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
21 Tensor<[1, 296, 28, 28]> input = ?,
Tensor<[134, 296, 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 0.999446 4
22 Tensor<[1, 3, 224, 224]> input = ?,
Tensor<[32, 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
23 Tensor<[1, 304, 14, 14]> input = ?,
Tensor<[116, 304, 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 0.999462 4
24 Tensor<[1, 310, 28, 28]> input = ?,
Tensor<[58, 310, 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 0.99941 4
25 Tensor<[1, 32, 112, 112]> 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
26 Tensor<[1, 320, 14, 14]> input = ?,
Tensor<[40, 320, 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 0.999419 4
27 Tensor<[1, 328, 28, 28]> input = ?,
Tensor<[320, 328, 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
28 Tensor<[1, 34, 28, 28]> input = ?,
Tensor<[20, 34, 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 0.999946 4
29 Tensor<[1, 360, 14, 14]> input = ?,
Tensor<[68, 360, 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 0.999294 4
30 Tensor<[1, 368, 28, 28]> input = ?,
Tensor<[98, 368, 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 0.999273 4
31 Tensor<[1, 40, 56, 56]> input = ?,
Tensor<[14, 40, 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 0.999942 4
32 Tensor<[1, 428, 14, 14]> input = ?,
Tensor<[116, 428, 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 0.999142 4
33 Tensor<[1, 46, 28, 28]> input = ?,
Tensor<[16, 46, 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 0.999942 4
34 Tensor<[1, 466, 28, 28]> input = ?,
Tensor<[168, 466, 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 0.998966 4
35 Tensor<[1, 54, 56, 56]> input = ?,
Tensor<[24, 54, 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
36 Tensor<[1, 544, 14, 14]> input = ?,
Tensor<[196, 544, 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 0.998801 4
37 Tensor<[1, 58, 28, 28]> input = ?,
Tensor<[20, 58, 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 0.999923 4
38 Tensor<[1, 62, 28, 28]> input = ?,
Tensor<[28, 62, 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
39 Tensor<[1, 64, 56, 56]> input = ?,
Tensor<[14, 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
40 Tensor<[1, 640, 7, 7]> input = ?,
Tensor<[160, 640, 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 0.998576 4
41 Tensor<[1, 654, 14, 14]> input = ?,
Tensor<[640, 654, 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 0.999906 4
42 Tensor<[1, 68, 14, 14]> input = ?,
Tensor<[40, 68, 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 0.999903 4
43 Tensor<[1, 740, 14, 14]> input = ?,
Tensor<[334, 740, 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 0.998106 4
44 Tensor<[1, 78, 28, 28]> input = ?,
Tensor<[16, 78, 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 0.999894 4
45 Tensor<[1, 78, 28, 28]> input = ?,
Tensor<[34, 78, 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 0.999898 4
46 Tensor<[1, 78, 56, 56]> input = ?,
Tensor<[24, 78, 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 0.999896 4
47 Tensor<[1, 782, 7, 7]> input = ?,
Tensor<[1024, 782, 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 0.999883 4
48 Tensor<[1, 800, 7, 7]> input = ?,
Tensor<[272, 800, 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 0.998063 4
49 Tensor<[1, 94, 28, 28]> input = ?,
Tensor<[28, 94, 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 0.999874 4
50 Tensor<[1, 98, 28, 28]> input = ?,
Tensor<[20, 98, 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 0.999857 4

aten.hardtanh.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1024, 7, 7]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
1 Tensor<[1, 116, 14, 14]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
2 Tensor<[1, 128, 56, 56]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
3 Tensor<[1, 134, 28, 28]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
4 Tensor<[1, 14, 56, 56]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
5 Tensor<[1, 16, 28, 28]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
6 Tensor<[1, 160, 7, 7]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
7 Tensor<[1, 168, 28, 28]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
8 Tensor<[1, 196, 14, 14]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
9 Tensor<[1, 20, 28, 28]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
10 Tensor<[1, 24, 56, 56]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
11 Tensor<[1, 256, 28, 28]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
12 Tensor<[1, 272, 7, 7]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
13 Tensor<[1, 28, 28, 28]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
14 Tensor<[1, 32, 112, 112]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
15 Tensor<[1, 320, 28, 28]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
16 Tensor<[1, 334, 14, 14]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
17 Tensor<[1, 34, 28, 28]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
18 Tensor<[1, 40, 14, 14]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
19 Tensor<[1, 40, 56, 56]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
20 Tensor<[1, 46, 28, 28]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
21 Tensor<[1, 462, 7, 7]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
22 Tensor<[1, 58, 28, 28]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
23 Tensor<[1, 64, 112, 112]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
24 Tensor<[1, 640, 14, 14]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
25 Tensor<[1, 68, 14, 14]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
26 Tensor<[1, 68, 56, 56]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
27 Tensor<[1, 78, 28, 28]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
28 Tensor<[1, 98, 28, 28]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0

aten.max_pool2d_with_indices.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 128, 56, 56]> self = ?,
List[int] kernel_size = [2, 2],
List[int] stride = [2, 2]		 Done Done 1 4
1 Tensor<[1, 320, 28, 28]> self = ?,
List[int] kernel_size = [2, 2],
List[int] stride = [2, 2]		 None Fallback 1 -1
2 Tensor<[1, 64, 112, 112]> self = ?,
List[int] kernel_size = [3, 3],
List[int] stride = [2, 2],
List[int] padding = [1, 1]		 Done Done 1 4
3 Tensor<[1, 640, 14, 14]> self = ?,
List[int] kernel_size = [2, 2],
List[int] stride = [2, 2]		 None Fallback 1 -1

aten.mean.dim

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1024, 7, 7]> self = ?,
Optional[List[int]] dim = [-1, -2],
bool keepdim = True		 Done Done 0 0

aten.t.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1000, 1024]> self = ? Done Done 1 0

aten.view.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1024, 1, 1]> self = ?,
List[int] size = [1, -1]		 Done Done 1 -1