Skip to content

Latest commit

 

History

History
695 lines (694 loc) · 141 KB

input_variations.md

File metadata and controls

695 lines (694 loc) · 141 KB

High Level Operations Status

Operations Input Variations Converted Removed Fallback Completed Score
0 aten._native_batch_norm_legit_functional.default 28 0 0 0 ✘ 0
1 aten._to_copy.default 22 0 0 0 ✘ 0
2 aten.add.Tensor 27 26 0 0 🚧 0.96
3 aten.addmm.default 1 1 0 0 ✅ 1
4 aten.as_strided.default 18 18 0 0 ✅ 1
5 aten.as_strided_scatter.default 12 0 0 0 ✘ 0
6 aten.cat.default 15 15 0 0 ✅ 1
7 aten.clone.default 6 6 0 0 ✅ 1
8 aten.convolution.default 63 63 0 0 ✅ 1
9 aten.convolution_backward.default 63 0 0 0 ✘ 0
10 aten.copy.default 12 0 0 0 ✘ 0
11 aten.detach.default 18 0 18 0 ✅ 1
12 aten.div.Scalar 6 0 0 0 ✘ 0
13 aten.expand.default 6 0 0 0 ✘ 0
14 aten.hardsigmoid.default 5 5 0 0 ✅ 1
15 aten.hardsigmoid_backward.default 5 0 0 0 ✘ 0
16 aten.mean.dim 7 7 0 0 ✅ 1
17 aten.mm.default 2 2 0 0 ✅ 1
18 aten.mul.Tensor 12 12 0 0 ✅ 1
19 aten.native_batch_norm_backward.default 28 0 0 0 ✘ 0
20 aten.native_dropout.default 1 0 0 0 ✘ 0
21 aten.native_dropout_backward.default 1 0 0 0 ✘ 0
22 aten.new_empty_strided.default 6 0 0 0 ✘ 0
23 aten.new_zeros.default 6 0 6 0 ✅ 1
24 aten.relu.default 18 18 0 0 ✅ 1
25 aten.slice.Tensor 75 30 45 0 ✅ 1
26 aten.slice_backward.default 30 0 0 0 ✘ 0
27 aten.slice_scatter.default 18 0 18 0 ✅ 1
28 aten.squeeze.dim 6 6 0 0 ✅ 1
29 aten.sum.dim_IntList 7 0 0 0 ✘ 0
30 aten.t.default 3 3 0 0 ✅ 1
31 aten.threshold_backward.default 18 0 0 0 ✘ 0
32 aten.view.default 3 3 0 0 ✅ 1
33 aten.zeros.default 6 6 0 0 ✅ 1

aten._native_batch_norm_legit_functional.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 100, 14, 14]> input = ?,
Optional[Tensor]<[100]> weight = ?,
Optional[Tensor]<[100]> bias = ?,
Tensor<[100]> running_mean = ?,
Tensor<[100]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 1e-05		 None Fallback 1 0
1 Tensor<[1, 112, 14, 14]> input = ?,
Optional[Tensor]<[112]> weight = ?,
Optional[Tensor]<[112]> bias = ?,
Tensor<[112]> running_mean = ?,
Tensor<[112]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 1e-05		 None Fallback 1 0
2 Tensor<[1, 112, 7, 7]> input = ?,
Optional[Tensor]<[112]> weight = ?,
Optional[Tensor]<[112]> bias = ?,
Tensor<[112]> running_mean = ?,
Tensor<[112]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 1e-05		 None Fallback 1 0
3 Tensor<[1, 12, 56, 56]> input = ?,
Optional[Tensor]<[12]> weight = ?,
Optional[Tensor]<[12]> bias = ?,
Tensor<[12]> running_mean = ?,
Tensor<[12]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 1e-05		 None Fallback 1 0
4 Tensor<[1, 120, 28, 28]> input = ?,
Optional[Tensor]<[120]> weight = ?,
Optional[Tensor]<[120]> bias = ?,
Tensor<[120]> running_mean = ?,
Tensor<[120]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 1e-05		 None Fallback 1 0
5 Tensor<[1, 16, 112, 112]> input = ?,
Optional[Tensor]<[16]> weight = ?,
Optional[Tensor]<[16]> bias = ?,
Tensor<[16]> running_mean = ?,
Tensor<[16]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 1e-05		 None Fallback 1 0
6 Tensor<[1, 16, 56, 56]> input = ?,
Optional[Tensor]<[16]> weight = ?,
Optional[Tensor]<[16]> bias = ?,
Tensor<[16]> running_mean = ?,
Tensor<[16]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 1e-05		 None Fallback 1 0
7 Tensor<[1, 160, 7, 7]> input = ?,
Optional[Tensor]<[160]> weight = ?,
Optional[Tensor]<[160]> bias = ?,
Tensor<[160]> running_mean = ?,
Tensor<[160]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 1e-05		 None Fallback 1 0
8 Tensor<[1, 20, 28, 28]> input = ?,
Optional[Tensor]<[20]> weight = ?,
Optional[Tensor]<[20]> bias = ?,
Tensor<[20]> running_mean = ?,
Tensor<[20]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 1e-05		 None Fallback 1 0
9 Tensor<[1, 24, 112, 112]> input = ?,
Optional[Tensor]<[24]> weight = ?,
Optional[Tensor]<[24]> bias = ?,
Tensor<[24]> running_mean = ?,
Tensor<[24]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 1e-05		 None Fallback 1 0
10 Tensor<[1, 24, 28, 28]> input = ?,
Optional[Tensor]<[24]> weight = ?,
Optional[Tensor]<[24]> bias = ?,
Tensor<[24]> running_mean = ?,
Tensor<[24]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 1e-05		 None Fallback 1 0
11 Tensor<[1, 24, 56, 56]> input = ?,
Optional[Tensor]<[24]> weight = ?,
Optional[Tensor]<[24]> bias = ?,
Tensor<[24]> running_mean = ?,
Tensor<[24]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 1e-05		 None Fallback 1 0
12 Tensor<[1, 240, 14, 14]> input = ?,
Optional[Tensor]<[240]> weight = ?,
Optional[Tensor]<[240]> bias = ?,
Tensor<[240]> running_mean = ?,
Tensor<[240]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 1e-05		 None Fallback 1 0
13 Tensor<[1, 336, 14, 14]> input = ?,
Optional[Tensor]<[336]> weight = ?,
Optional[Tensor]<[336]> bias = ?,
Tensor<[336]> running_mean = ?,
Tensor<[336]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 1e-05		 None Fallback 1 0
14 Tensor<[1, 36, 56, 56]> input = ?,
Optional[Tensor]<[36]> weight = ?,
Optional[Tensor]<[36]> bias = ?,
Tensor<[36]> running_mean = ?,
Tensor<[36]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 1e-05		 None Fallback 1 0
15 Tensor<[1, 40, 14, 14]> input = ?,
Optional[Tensor]<[40]> weight = ?,
Optional[Tensor]<[40]> bias = ?,
Tensor<[40]> running_mean = ?,
Tensor<[40]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 1e-05		 None Fallback 1 0
16 Tensor<[1, 40, 28, 28]> input = ?,
Optional[Tensor]<[40]> weight = ?,
Optional[Tensor]<[40]> bias = ?,
Tensor<[40]> running_mean = ?,
Tensor<[40]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 1e-05		 None Fallback 1 0
17 Tensor<[1, 48, 56, 56]> input = ?,
Optional[Tensor]<[48]> weight = ?,
Optional[Tensor]<[48]> bias = ?,
Tensor<[48]> running_mean = ?,
Tensor<[48]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 1e-05		 None Fallback 1 0
18 Tensor<[1, 480, 7, 7]> input = ?,
Optional[Tensor]<[480]> weight = ?,
Optional[Tensor]<[480]> bias = ?,
Tensor<[480]> running_mean = ?,
Tensor<[480]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 1e-05		 None Fallback 1 0
19 Tensor<[1, 56, 14, 14]> input = ?,
Optional[Tensor]<[56]> weight = ?,
Optional[Tensor]<[56]> bias = ?,
Tensor<[56]> running_mean = ?,
Tensor<[56]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 1e-05		 None Fallback 1 0
20 Tensor<[1, 60, 28, 28]> input = ?,
Optional[Tensor]<[60]> weight = ?,
Optional[Tensor]<[60]> bias = ?,
Tensor<[60]> running_mean = ?,
Tensor<[60]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 1e-05		 None Fallback 1 0
21 Tensor<[1, 672, 7, 7]> input = ?,
Optional[Tensor]<[672]> weight = ?,
Optional[Tensor]<[672]> bias = ?,
Tensor<[672]> running_mean = ?,
Tensor<[672]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 1e-05		 None Fallback 1 0
22 Tensor<[1, 72, 28, 28]> input = ?,
Optional[Tensor]<[72]> weight = ?,
Optional[Tensor]<[72]> bias = ?,
Tensor<[72]> running_mean = ?,
Tensor<[72]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 1e-05		 None Fallback 1 0
23 Tensor<[1, 8, 112, 112]> input = ?,
Optional[Tensor]<[8]> weight = ?,
Optional[Tensor]<[8]> bias = ?,
Tensor<[8]> running_mean = ?,
Tensor<[8]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 1e-05		 None Fallback 1 0
24 Tensor<[1, 80, 14, 14]> input = ?,
Optional[Tensor]<[80]> weight = ?,
Optional[Tensor]<[80]> bias = ?,
Tensor<[80]> running_mean = ?,
Tensor<[80]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 1e-05		 None Fallback 1 0
25 Tensor<[1, 80, 7, 7]> input = ?,
Optional[Tensor]<[80]> weight = ?,
Optional[Tensor]<[80]> bias = ?,
Tensor<[80]> running_mean = ?,
Tensor<[80]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 1e-05		 None Fallback 1 0
26 Tensor<[1, 92, 14, 14]> input = ?,
Optional[Tensor]<[92]> weight = ?,
Optional[Tensor]<[92]> bias = ?,
Tensor<[92]> running_mean = ?,
Tensor<[92]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 1e-05		 None Fallback 1 0
27 Tensor<[1, 960, 7, 7]> input = ?,
Optional[Tensor]<[960]> weight = ?,
Optional[Tensor]<[960]> bias = ?,
Tensor<[960]> running_mean = ?,
Tensor<[960]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 1e-05		 None Fallback 1 0

aten._to_copy.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[100]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
1 Tensor<[112]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
2 Tensor<[120]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
3 Tensor<[12]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
4 Tensor<[160]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
5 Tensor<[16]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
6 Tensor<[20]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
7 Tensor<[240]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
8 Tensor<[24]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
9 Tensor<[336]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
10 Tensor<[36]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
11 Tensor<[40]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
12 Tensor<[480]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
13 Tensor<[48]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
14 Tensor<[56]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
15 Tensor<[60]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
16 Tensor<[672]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
17 Tensor<[72]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
18 Tensor<[80]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
19 Tensor<[8]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
20 Tensor<[92]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
21 Tensor<[960]> 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, 100, 14, 14]> self = ?,
Tensor<[1, 100, 14, 14]> other = ?		 Done Done 0.999998 0
1 Tensor<[1, 112, 14, 14]> self = ?,
Tensor<[1, 112, 14, 14]> other = ?		 Done Done 0.999998 0
2 Tensor<[1, 12, 56, 56]> self = ?,
Tensor<[1, 12, 56, 56]> other = ?		 Done Done 0.999998 0
3 Tensor<[1, 120, 28, 28]> self = ?,
Tensor<[1, 120, 28, 28]> other = ?		 Done Done 0.999998 0
4 Tensor<[1, 16, 112, 112]> self = ?,
Tensor<[1, 16, 112, 112]> other = ?		 Done Done 0.999998 0
5 Tensor<[1, 160, 7, 7]> self = ?,
Tensor<[1, 160, 7, 7]> other = ?		 Done Done 0.999998 0
6 Tensor<[1, 20, 28, 28]> self = ?,
Tensor<[1, 20, 28, 28]> other = ?		 Done Done 0.999998 0
7 Tensor<[1, 24, 112, 112]> self = ?,
Tensor<[1, 24, 112, 112]> other = ?		 Done Done 0.999998 0
8 Tensor<[1, 24, 56, 56]> self = ?,
Tensor<[1, 24, 56, 56]> other = ?		 Done Done 0.999998 0
9 Tensor<[1, 240, 14, 14]> self = ?,
Tensor<[1, 240, 14, 14]> other = ?		 Done Done 0.999998 0
10 Tensor<[1, 336, 14, 14]> self = ?,
Tensor<[1, 336, 14, 14]> other = ?		 Done Done 0.999998 0
11 Tensor<[1, 36, 56, 56]> self = ?,
Tensor<[1, 36, 56, 56]> other = ?		 Done Done 0.999998 0
12 Tensor<[1, 40, 14, 14]> self = ?,
Tensor<[1, 40, 14, 14]> other = ?		 Done Done 0.999998 0
13 Tensor<[1, 40, 28, 28]> self = ?,
Tensor<[1, 40, 28, 28]> other = ?		 Done Done 0.999998 0
14 Tensor<[1, 480, 14, 14]> self = ?,
Tensor<[1, 480, 14, 14]> other = ?		 Done Done 0.999998 0
15 Tensor<[1, 480, 7, 7]> self = ?,
Tensor<[1, 480, 7, 7]> other = ?		 Done Done 0.999998 0
16 Tensor<[1, 56, 14, 14]> self = ?,
Tensor<[1, 56, 14, 14]> other = ?		 Done Done 0.999998 0
17 Tensor<[1, 60, 28, 28]> self = ?,
Tensor<[1, 60, 28, 28]> other = ?		 Done Done 0.999998 0
18 Tensor<[1, 672, 14, 14]> self = ?,
Tensor<[1, 672, 14, 14]> other = ?		 Done Done 0.999998 0
19 Tensor<[1, 672, 7, 7]> self = ?,
Tensor<[1, 672, 7, 7]> other = ?		 Done Done 0.999998 0
20 Tensor<[1, 72, 28, 28]> self = ?,
Tensor<[1, 72, 28, 28]> other = ?		 Done Done 0.999998 0
21 Tensor<[1, 8, 112, 112]> self = ?,
Tensor<[1, 8, 112, 112]> other = ?		 Done Done 0.999998 0
22 Tensor<[1, 80, 14, 14]> self = ?,
Tensor<[1, 80, 14, 14]> other = ?		 Done Done 0.999998 0
23 Tensor<[1, 80, 7, 7]> self = ?,
Tensor<[1, 80, 7, 7]> other = ?		 Done Done 0.999998 0
24 Tensor<[1, 92, 14, 14]> self = ?,
Tensor<[1, 92, 14, 14]> other = ?		 Done Done 0.999998 0
25 Tensor<[1, 960, 7, 7]> self = ?,
Tensor<[1, 960, 7, 7]> other = ?		 Done Done 0.999998 0
26 Tensor<[]> self = ?,
Tensor other = 1		 None Fallback 1 -1

aten.addmm.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1000]> self = ?,
Tensor<[1, 1280]> mat1 = ?,
Tensor<[1280, 1000]> mat2 = ?		 Done Done 0.999961 0

aten.as_strided.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 112, 14, 14]> self = ?,
List[int] size = [1, 112, 14, 14],
List[int] stride = [21952, 196, 14, 1],
Optional[int] storage_offset = 0		 Done Done 1 -1
1 Tensor<[1, 16, 112, 112]> self = ?,
List[int] size = [1, 16, 112, 112],
List[int] stride = [200704, 12544, 112, 1],
Optional[int] storage_offset = 0		 Done Done 1 -1
2 Tensor<[1, 160, 7, 7]> self = ?,
List[int] size = [1, 160, 7, 7],
List[int] stride = [7840, 49, 7, 1],
Optional[int] storage_offset = 0		 Done Done 1 -1
3 Tensor<[1, 24, 56, 56]> self = ?,
List[int] size = [1, 24, 56, 56],
List[int] stride = [75264, 3136, 56, 1],
Optional[int] storage_offset = 0		 Done Done 1 -1
4 Tensor<[1, 40, 28, 28]> self = ?,
List[int] size = [1, 40, 28, 28],
List[int] stride = [31360, 784, 28, 1],
Optional[int] storage_offset = 0		 Done Done 1 -1
5 Tensor<[1, 80, 14, 14]> self = ?,
List[int] size = [1, 80, 14, 14],
List[int] stride = [15680, 196, 14, 1],
Optional[int] storage_offset = 0		 Done Done 1 -1
6 Tensor<[15680]> self = ?,
List[int] size = [1, 80, 14, 14],
List[int] stride = [15680, 196, 14, 1],
Optional[int] storage_offset = 0		 Done Done 1 -1
7 Tensor<[15680]> self = ?,
List[int] size = [80, 14, 14],
List[int] stride = [196, 14, 1],
Optional[int] storage_offset = 0		 Done Done 1 -1
8 Tensor<[200704]> self = ?,
List[int] size = [1, 16, 112, 112],
List[int] stride = [200704, 12544, 112, 1],
Optional[int] storage_offset = 0		 Done Done 1 -1
9 Tensor<[200704]> self = ?,
List[int] size = [16, 112, 112],
List[int] stride = [12544, 112, 1],
Optional[int] storage_offset = 0		 Done Done 1 -1
10 Tensor<[21952]> self = ?,
List[int] size = [1, 112, 14, 14],
List[int] stride = [21952, 196, 14, 1],
Optional[int] storage_offset = 0		 Done Done 1 -1
11 Tensor<[21952]> self = ?,
List[int] size = [112, 14, 14],
List[int] stride = [196, 14, 1],
Optional[int] storage_offset = 0		 Done Done 1 -1
12 Tensor<[31360]> self = ?,
List[int] size = [1, 40, 28, 28],
List[int] stride = [31360, 784, 28, 1],
Optional[int] storage_offset = 0		 Done Done 1 -1
13 Tensor<[31360]> self = ?,
List[int] size = [40, 28, 28],
List[int] stride = [784, 28, 1],
Optional[int] storage_offset = 0		 Done Done 1 -1
14 Tensor<[75264]> self = ?,
List[int] size = [1, 24, 56, 56],
List[int] stride = [75264, 3136, 56, 1],
Optional[int] storage_offset = 0		 Done Done 1 -1
15 Tensor<[75264]> self = ?,
List[int] size = [24, 56, 56],
List[int] stride = [3136, 56, 1],
Optional[int] storage_offset = 0		 Done Done 1 -1
16 Tensor<[7840]> self = ?,
List[int] size = [1, 160, 7, 7],
List[int] stride = [7840, 49, 7, 1],
Optional[int] storage_offset = 0		 Done Done 1 -1
17 Tensor<[7840]> self = ?,
List[int] size = [160, 7, 7],
List[int] stride = [49, 7, 1],
Optional[int] storage_offset = 0		 Done Done 1 -1

aten.as_strided_scatter.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 112, 14, 14]> self = ?,
Tensor<[1, 112, 14, 14]> src = ?,
List[int] size = [1, 112, 14, 14],
List[int] stride = [21952, 196, 14, 1],
Optional[int] storage_offset = 0		 None Fallback 1 -1
1 Tensor<[1, 16, 112, 112]> self = ?,
Tensor<[1, 16, 112, 112]> src = ?,
List[int] size = [1, 16, 112, 112],
List[int] stride = [200704, 12544, 112, 1],
Optional[int] storage_offset = 0		 None Fallback 1 -1
2 Tensor<[1, 160, 7, 7]> self = ?,
Tensor<[1, 160, 7, 7]> src = ?,
List[int] size = [1, 160, 7, 7],
List[int] stride = [7840, 49, 7, 1],
Optional[int] storage_offset = 0		 None Fallback 1 -1
3 Tensor<[1, 24, 56, 56]> self = ?,
Tensor<[1, 24, 56, 56]> src = ?,
List[int] size = [1, 24, 56, 56],
List[int] stride = [75264, 3136, 56, 1],
Optional[int] storage_offset = 0		 None Fallback 1 -1
4 Tensor<[1, 40, 28, 28]> self = ?,
Tensor<[1, 40, 28, 28]> src = ?,
List[int] size = [1, 40, 28, 28],
List[int] stride = [31360, 784, 28, 1],
Optional[int] storage_offset = 0		 None Fallback 1 -1
5 Tensor<[1, 80, 14, 14]> self = ?,
Tensor<[1, 80, 14, 14]> src = ?,
List[int] size = [1, 80, 14, 14],
List[int] stride = [15680, 196, 14, 1],
Optional[int] storage_offset = 0		 None Fallback 1 -1
6 Tensor<[15680]> self = ?,
Tensor<[80, 14, 14]> src = ?,
List[int] size = [80, 14, 14],
List[int] stride = [196, 14, 1],
Optional[int] storage_offset = 0		 None Fallback 1 -1
7 Tensor<[200704]> self = ?,
Tensor<[16, 112, 112]> src = ?,
List[int] size = [16, 112, 112],
List[int] stride = [12544, 112, 1],
Optional[int] storage_offset = 0		 None Fallback 1 -1
8 Tensor<[21952]> self = ?,
Tensor<[112, 14, 14]> src = ?,
List[int] size = [112, 14, 14],
List[int] stride = [196, 14, 1],
Optional[int] storage_offset = 0		 None Fallback 1 -1
9 Tensor<[31360]> self = ?,
Tensor<[40, 28, 28]> src = ?,
List[int] size = [40, 28, 28],
List[int] stride = [784, 28, 1],
Optional[int] storage_offset = 0		 None Fallback 1 -1
10 Tensor<[75264]> self = ?,
Tensor<[24, 56, 56]> src = ?,
List[int] size = [24, 56, 56],
List[int] stride = [3136, 56, 1],
Optional[int] storage_offset = 0		 None Fallback 1 -1
11 Tensor<[7840]> self = ?,
Tensor<[160, 7, 7]> src = ?,
List[int] size = [160, 7, 7],
List[int] stride = [49, 7, 1],
Optional[int] storage_offset = 0		 None Fallback 1 -1

aten.cat.default

ATen Input Variations Status Isolated PCC Host
0 List[Tensor] tensors = [<[1, 100, 14, 14]>, <[1, 100, 14, 14]>],
int dim = 1		 Done Done 1 0
1 List[Tensor] tensors = [<[1, 12, 56, 56]>, <[1, 12, 56, 56]>],
int dim = 1		 Done Done 1 0
2 List[Tensor] tensors = [<[1, 120, 28, 28]>, <[1, 120, 28, 28]>],
int dim = 1		 Done Done 1 0
3 List[Tensor] tensors = [<[1, 20, 28, 28]>, <[1, 20, 28, 28]>],
int dim = 1		 Done Done 1 0
4 List[Tensor] tensors = [<[1, 24, 112, 112]>, <[1, 24, 112, 112]>],
int dim = 1		 Done Done 1 0
5 List[Tensor] tensors = [<[1, 240, 14, 14]>, <[1, 240, 14, 14]>],
int dim = 1		 Done Done 1 0
6 List[Tensor] tensors = [<[1, 336, 14, 14]>, <[1, 336, 14, 14]>],
int dim = 1		 Done Done 1 0
7 List[Tensor] tensors = [<[1, 36, 56, 56]>, <[1, 36, 56, 56]>],
int dim = 1		 Done Done 1 0
8 List[Tensor] tensors = [<[1, 40, 14, 14]>, <[1, 40, 14, 14]>],
int dim = 1		 Done Done 1 0
9 List[Tensor] tensors = [<[1, 480, 7, 7]>, <[1, 480, 7, 7]>],
int dim = 1		 Done Done 1 0
10 List[Tensor] tensors = [<[1, 56, 14, 14]>, <[1, 56, 14, 14]>],
int dim = 1		 Done Done 1 0
11 List[Tensor] tensors = [<[1, 60, 28, 28]>, <[1, 60, 28, 28]>],
int dim = 1		 Done Done 1 0
12 List[Tensor] tensors = [<[1, 8, 112, 112]>, <[1, 8, 112, 112]>],
int dim = 1		 Done Done 1 0
13 List[Tensor] tensors = [<[1, 80, 7, 7]>, <[1, 80, 7, 7]>],
int dim = 1		 Done Done 1 0
14 List[Tensor] tensors = [<[1, 92, 14, 14]>, <[1, 92, 14, 14]>],
int dim = 1		 Done Done 1 0

aten.clone.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 112, 14, 14]> self = ?,
Optional[int] memory_format = torch.contiguous_format		 Done Done 1 0
1 Tensor<[1, 16, 112, 112]> self = ?,
Optional[int] memory_format = torch.contiguous_format		 Done Done 1 0
2 Tensor<[1, 160, 7, 7]> self = ?,
Optional[int] memory_format = torch.contiguous_format		 Done Done 1 0
3 Tensor<[1, 24, 56, 56]> self = ?,
Optional[int] memory_format = torch.contiguous_format		 Done Done 1 0
4 Tensor<[1, 40, 28, 28]> self = ?,
Optional[int] memory_format = torch.contiguous_format		 Done Done 1 0
5 Tensor<[1, 80, 14, 14]> 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, 100, 14, 14]> input = ?,
Tensor<[100, 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 = 100		 Done Done 0.999984 4
1 Tensor<[1, 112, 14, 14]> input = ?,
Tensor<[112, 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 = 112		 Done Done 0.999963 4
2 Tensor<[1, 112, 14, 14]> input = ?,
Tensor<[336, 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 0.999985 4
3 Tensor<[1, 112, 7, 7]> input = ?,
Tensor<[160, 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 0.999985 4
4 Tensor<[1, 12, 56, 56]> input = ?,
Tensor<[12, 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 = 12		 Done Done 0.999981 4
5 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 0.999987 6
6 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 0.999978 6
7 Tensor<[1, 120, 28, 28]> input = ?,
Tensor<[120, 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 = 120		 Done Done 0.999983 4
8 Tensor<[1, 120, 28, 28]> input = ?,
Tensor<[20, 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
9 Tensor<[1, 16, 112, 112]> input = ?,
Tensor<[16, 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 = 16		 Done Done 0.999983 4
10 Tensor<[1, 16, 112, 112]> input = ?,
Tensor<[24, 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 0.999991 4
11 Tensor<[1, 16, 112, 112]> input = ?,
Tensor<[8, 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 0.999991 4
12 Tensor<[1, 16, 56, 56]> input = ?,
Tensor<[24, 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
13 Tensor<[1, 160, 7, 7]> input = ?,
Tensor<[480, 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
14 Tensor<[1, 160, 7, 7]> input = ?,
Tensor<[960, 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
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 0.999979 6
16 Tensor<[1, 184, 14, 14]> input = ?,
Tensor<[40, 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 0.999981 4
17 Tensor<[1, 20, 1, 1]> input = ?,
Tensor<[72, 20, 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 0.99999 6
18 Tensor<[1, 20, 28, 28]> input = ?,
Tensor<[20, 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 = 20		 Done Done 0.999984 4
19 Tensor<[1, 200, 14, 14]> input = ?,
Tensor<[40, 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, 112, 112]> input = ?,
Tensor<[24, 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 = 24		 Done Done 0.999984 4
21 Tensor<[1, 24, 28, 28]> input = ?,
Tensor<[40, 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, 24, 56, 56]> input = ?,
Tensor<[24, 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 = 24		 Done Done 0.99996 4
23 Tensor<[1, 24, 56, 56]> input = ?,
Tensor<[36, 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
24 Tensor<[1, 240, 1, 1]> input = ?,
Tensor<[960, 240, 1, 1]> weight = ?,
Optional[Tensor]<[960]> 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 6
25 Tensor<[1, 240, 14, 14]> input = ?,
Tensor<[240, 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 = 240		 Done Done 0.999984 4
26 Tensor<[1, 240, 14, 14]> input = ?,
Tensor<[40, 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
27 Tensor<[1, 240, 28, 28]> 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 0.999984 4
28 Tensor<[1, 3, 224, 224]> 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
29 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 0.999991 6
30 Tensor<[1, 336, 14, 14]> input = ?,
Tensor<[336, 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 = 336		 Done Done 0.999984 4
31 Tensor<[1, 36, 56, 56]> input = ?,
Tensor<[36, 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 = 36		 Done Done 0.999983 4
32 Tensor<[1, 40, 14, 14]> input = ?,
Tensor<[40, 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 = 40		 Done Done 0.999985 4
33 Tensor<[1, 40, 14, 14]> input = ?,
Tensor<[80, 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 0.999987 4
34 Tensor<[1, 40, 28, 28]> 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 0.999987 4
35 Tensor<[1, 40, 28, 28]> input = ?,
Tensor<[40, 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 = 40		 Done Done 0.999984 4
36 Tensor<[1, 40, 28, 28]> input = ?,
Tensor<[60, 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, 48, 112, 112]> input = ?,
Tensor<[48, 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 = 48		 Done Done 0.999983 4
38 Tensor<[1, 48, 56, 56]> input = ?,
Tensor<[12, 48, 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
39 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
40 Tensor<[1, 480, 14, 14]> input = ?,
Tensor<[56, 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, 7, 7]> 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 0.999985 4
42 Tensor<[1, 56, 14, 14]> input = ?,
Tensor<[56, 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 = 56		 Done Done 0.999983 4
43 Tensor<[1, 60, 28, 28]> input = ?,
Tensor<[60, 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 = 60		 Done Done 0.999983 4
44 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 0.999968 6
45 Tensor<[1, 672, 14, 14]> input = ?,
Tensor<[56, 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
46 Tensor<[1, 672, 14, 14]> 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 0.999963 4
47 Tensor<[1, 672, 7, 7]> 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 0.99997 4
48 Tensor<[1, 72, 1, 1]> input = ?,
Tensor<[20, 72, 1, 1]> weight = ?,
Optional[Tensor]<[20]> 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
49 Tensor<[1, 72, 28, 28]> input = ?,
Tensor<[20, 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 0.999985 4
50 Tensor<[1, 72, 56, 56]> input = ?,
Tensor<[12, 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
51 Tensor<[1, 72, 56, 56]> 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
52 Tensor<[1, 8, 112, 112]> input = ?,
Tensor<[8, 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 = 8		 Done Done 0.999984 4
53 Tensor<[1, 80, 14, 14]> input = ?,
Tensor<[100, 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
54 Tensor<[1, 80, 14, 14]> input = ?,
Tensor<[112, 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
55 Tensor<[1, 80, 14, 14]> input = ?,
Tensor<[240, 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
56 Tensor<[1, 80, 14, 14]> input = ?,
Tensor<[80, 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 = 80		 Done Done 0.999984 4
57 Tensor<[1, 80, 14, 14]> input = ?,
Tensor<[92, 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
58 Tensor<[1, 80, 7, 7]> input = ?,
Tensor<[80, 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 = 80		 Done Done 0.999984 4
59 Tensor<[1, 92, 14, 14]> input = ?,
Tensor<[92, 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 = 92		 Done Done 0.999984 4
60 Tensor<[1, 960, 1, 1]> input = ?,
Tensor<[1280, 960, 1, 1]> weight = ?,
Optional[Tensor]<[1280]> 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 0.999962 6
61 Tensor<[1, 960, 1, 1]> input = ?,
Tensor<[240, 960, 1, 1]> weight = ?,
Optional[Tensor]<[240]> 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 0.999967 6
62 Tensor<[1, 960, 7, 7]> input = ?,
Tensor<[80, 960, 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 0.999966 4

aten.convolution_backward.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 100, 14, 14]> grad_output = ?,
Tensor<[1, 100, 14, 14]> input = ?,
Tensor<[100, 1, 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 = 100,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
1 Tensor<[1, 100, 14, 14]> grad_output = ?,
Tensor<[1, 80, 14, 14]> input = ?,
Tensor<[100, 80, 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, 112, 14, 14]> grad_output = ?,
Tensor<[1, 80, 14, 14]> input = ?,
Tensor<[112, 80, 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
3 Tensor<[1, 112, 7, 7]> grad_output = ?,
Tensor<[1, 112, 14, 14]> input = ?,
Tensor<[112, 1, 5, 5]> weight = ?,
Optional[List[int]] bias_sizes = [0],
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 = 112,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
4 Tensor<[1, 12, 56, 56]> grad_output = ?,
Tensor<[1, 12, 56, 56]> input = ?,
Tensor<[12, 1, 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 = 12,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
5 Tensor<[1, 12, 56, 56]> grad_output = ?,
Tensor<[1, 48, 56, 56]> input = ?,
Tensor<[12, 48, 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
6 Tensor<[1, 12, 56, 56]> grad_output = ?,
Tensor<[1, 72, 56, 56]> input = ?,
Tensor<[12, 72, 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
7 Tensor<[1, 120, 1, 1]> grad_output = ?,
Tensor<[1, 32, 1, 1]> input = ?,
Tensor<[120, 32, 1, 1]> weight = ?,
Optional[List[int]] bias_sizes = [120],
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, True]		 None Fallback 1 0
8 Tensor<[1, 120, 1, 1]> grad_output = ?,
Tensor<[1, 480, 1, 1]> input = ?,
Tensor<[120, 480, 1, 1]> weight = ?,
Optional[List[int]] bias_sizes = [120],
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, True]		 None Fallback 1 0
9 Tensor<[1, 120, 28, 28]> grad_output = ?,
Tensor<[1, 120, 28, 28]> input = ?,
Tensor<[120, 1, 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 = 120,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
10 Tensor<[1, 120, 28, 28]> grad_output = ?,
Tensor<[1, 40, 28, 28]> input = ?,
Tensor<[120, 40, 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
11 Tensor<[1, 1280, 1, 1]> grad_output = ?,
Tensor<[1, 960, 1, 1]> input = ?,
Tensor<[1280, 960, 1, 1]> weight = ?,
Optional[List[int]] bias_sizes = [1280],
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, True]		 None Fallback 1 0
12 Tensor<[1, 16, 112, 112]> grad_output = ?,
Tensor<[1, 3, 224, 224]> input = ?,
Tensor<[16, 3, 3, 3]> weight = ?,
Optional[List[int]] bias_sizes = [0],
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,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
13 Tensor<[1, 16, 56, 56]> grad_output = ?,
Tensor<[1, 16, 112, 112]> input = ?,
Tensor<[16, 1, 3, 3]> weight = ?,
Optional[List[int]] bias_sizes = [0],
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 = 16,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
14 Tensor<[1, 160, 7, 7]> grad_output = ?,
Tensor<[1, 112, 7, 7]> input = ?,
Tensor<[160, 112, 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, 168, 1, 1]> grad_output = ?,
Tensor<[1, 672, 1, 1]> input = ?,
Tensor<[168, 672, 1, 1]> weight = ?,
Optional[List[int]] bias_sizes = [168],
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, True]		 None Fallback 1 0
16 Tensor<[1, 20, 1, 1]> grad_output = ?,
Tensor<[1, 72, 1, 1]> input = ?,
Tensor<[20, 72, 1, 1]> weight = ?,
Optional[List[int]] bias_sizes = [20],
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, True]		 None Fallback 1 0
17 Tensor<[1, 20, 28, 28]> grad_output = ?,
Tensor<[1, 120, 28, 28]> input = ?,
Tensor<[20, 120, 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
18 Tensor<[1, 20, 28, 28]> grad_output = ?,
Tensor<[1, 20, 28, 28]> input = ?,
Tensor<[20, 1, 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 = 20,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
19 Tensor<[1, 20, 28, 28]> grad_output = ?,
Tensor<[1, 72, 28, 28]> input = ?,
Tensor<[20, 72, 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
20 Tensor<[1, 24, 112, 112]> grad_output = ?,
Tensor<[1, 16, 112, 112]> input = ?,
Tensor<[24, 16, 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
21 Tensor<[1, 24, 112, 112]> grad_output = ?,
Tensor<[1, 24, 112, 112]> input = ?,
Tensor<[24, 1, 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 = 24,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
22 Tensor<[1, 24, 28, 28]> grad_output = ?,
Tensor<[1, 24, 56, 56]> input = ?,
Tensor<[24, 1, 5, 5]> weight = ?,
Optional[List[int]] bias_sizes = [0],
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 = 24,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
23 Tensor<[1, 24, 56, 56]> grad_output = ?,
Tensor<[1, 16, 56, 56]> input = ?,
Tensor<[24, 16, 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, 240, 1, 1]> grad_output = ?,
Tensor<[1, 960, 1, 1]> input = ?,
Tensor<[240, 960, 1, 1]> weight = ?,
Optional[List[int]] bias_sizes = [240],
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, True]		 None Fallback 1 0
25 Tensor<[1, 240, 14, 14]> grad_output = ?,
Tensor<[1, 240, 14, 14]> input = ?,
Tensor<[240, 1, 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 = 240,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
26 Tensor<[1, 240, 14, 14]> grad_output = ?,
Tensor<[1, 240, 28, 28]> input = ?,
Tensor<[240, 1, 3, 3]> weight = ?,
Optional[List[int]] bias_sizes = [0],
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,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
27 Tensor<[1, 240, 14, 14]> grad_output = ?,
Tensor<[1, 80, 14, 14]> input = ?,
Tensor<[240, 80, 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
28 Tensor<[1, 32, 1, 1]> grad_output = ?,
Tensor<[1, 120, 1, 1]> input = ?,
Tensor<[32, 120, 1, 1]> weight = ?,
Optional[List[int]] bias_sizes = [32],
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, True]		 None Fallback 1 0
29 Tensor<[1, 336, 14, 14]> grad_output = ?,
Tensor<[1, 112, 14, 14]> input = ?,
Tensor<[336, 112, 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, 336, 14, 14]> grad_output = ?,
Tensor<[1, 336, 14, 14]> input = ?,
Tensor<[336, 1, 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 = 336,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
31 Tensor<[1, 36, 56, 56]> grad_output = ?,
Tensor<[1, 24, 56, 56]> input = ?,
Tensor<[36, 24, 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
32 Tensor<[1, 36, 56, 56]> grad_output = ?,
Tensor<[1, 36, 56, 56]> input = ?,
Tensor<[36, 1, 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 = 36,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
33 Tensor<[1, 40, 14, 14]> grad_output = ?,
Tensor<[1, 184, 14, 14]> input = ?,
Tensor<[40, 184, 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, 40, 14, 14]> grad_output = ?,
Tensor<[1, 200, 14, 14]> input = ?,
Tensor<[40, 200, 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
35 Tensor<[1, 40, 14, 14]> grad_output = ?,
Tensor<[1, 240, 14, 14]> input = ?,
Tensor<[40, 240, 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
36 Tensor<[1, 40, 14, 14]> grad_output = ?,
Tensor<[1, 40, 14, 14]> input = ?,
Tensor<[40, 1, 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 = 40,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
37 Tensor<[1, 40, 14, 14]> grad_output = ?,
Tensor<[1, 40, 28, 28]> input = ?,
Tensor<[40, 1, 3, 3]> weight = ?,
Optional[List[int]] bias_sizes = [0],
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 = 40,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
38 Tensor<[1, 40, 28, 28]> grad_output = ?,
Tensor<[1, 24, 28, 28]> input = ?,
Tensor<[40, 24, 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
39 Tensor<[1, 48, 56, 56]> grad_output = ?,
Tensor<[1, 48, 112, 112]> input = ?,
Tensor<[48, 1, 3, 3]> weight = ?,
Optional[List[int]] bias_sizes = [0],
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 = 48,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
40 Tensor<[1, 480, 1, 1]> grad_output = ?,
Tensor<[1, 120, 1, 1]> input = ?,
Tensor<[480, 120, 1, 1]> weight = ?,
Optional[List[int]] bias_sizes = [480],
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, True]		 None Fallback 1 0
41 Tensor<[1, 480, 7, 7]> grad_output = ?,
Tensor<[1, 160, 7, 7]> input = ?,
Tensor<[480, 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
42 Tensor<[1, 480, 7, 7]> grad_output = ?,
Tensor<[1, 480, 7, 7]> input = ?,
Tensor<[480, 1, 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 = 480,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
43 Tensor<[1, 56, 14, 14]> grad_output = ?,
Tensor<[1, 480, 14, 14]> input = ?,
Tensor<[56, 480, 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
44 Tensor<[1, 56, 14, 14]> grad_output = ?,
Tensor<[1, 56, 14, 14]> input = ?,
Tensor<[56, 1, 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 = 56,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
45 Tensor<[1, 56, 14, 14]> grad_output = ?,
Tensor<[1, 672, 14, 14]> input = ?,
Tensor<[56, 672, 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
46 Tensor<[1, 60, 28, 28]> grad_output = ?,
Tensor<[1, 40, 28, 28]> input = ?,
Tensor<[60, 40, 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
47 Tensor<[1, 60, 28, 28]> grad_output = ?,
Tensor<[1, 60, 28, 28]> input = ?,
Tensor<[60, 1, 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 = 60,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
48 Tensor<[1, 672, 1, 1]> grad_output = ?,
Tensor<[1, 168, 1, 1]> input = ?,
Tensor<[672, 168, 1, 1]> weight = ?,
Optional[List[int]] bias_sizes = [672],
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, True]		 None Fallback 1 0
49 Tensor<[1, 672, 7, 7]> grad_output = ?,
Tensor<[1, 672, 14, 14]> input = ?,
Tensor<[672, 1, 5, 5]> weight = ?,
Optional[List[int]] bias_sizes = [0],
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,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
50 Tensor<[1, 72, 1, 1]> grad_output = ?,
Tensor<[1, 20, 1, 1]> input = ?,
Tensor<[72, 20, 1, 1]> weight = ?,
Optional[List[int]] bias_sizes = [72],
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, True]		 None Fallback 1 0
51 Tensor<[1, 72, 28, 28]> grad_output = ?,
Tensor<[1, 72, 56, 56]> input = ?,
Tensor<[72, 1, 5, 5]> weight = ?,
Optional[List[int]] bias_sizes = [0],
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,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
52 Tensor<[1, 8, 112, 112]> grad_output = ?,
Tensor<[1, 16, 112, 112]> input = ?,
Tensor<[8, 16, 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
53 Tensor<[1, 8, 112, 112]> grad_output = ?,
Tensor<[1, 8, 112, 112]> input = ?,
Tensor<[8, 1, 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 = 8,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
54 Tensor<[1, 80, 14, 14]> grad_output = ?,
Tensor<[1, 40, 14, 14]> input = ?,
Tensor<[80, 40, 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
55 Tensor<[1, 80, 14, 14]> grad_output = ?,
Tensor<[1, 80, 14, 14]> input = ?,
Tensor<[80, 1, 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 = 80,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
56 Tensor<[1, 80, 7, 7]> grad_output = ?,
Tensor<[1, 672, 7, 7]> input = ?,
Tensor<[80, 672, 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
57 Tensor<[1, 80, 7, 7]> grad_output = ?,
Tensor<[1, 80, 7, 7]> input = ?,
Tensor<[80, 1, 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 = 80,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
58 Tensor<[1, 80, 7, 7]> grad_output = ?,
Tensor<[1, 960, 7, 7]> input = ?,
Tensor<[80, 960, 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
59 Tensor<[1, 92, 14, 14]> grad_output = ?,
Tensor<[1, 80, 14, 14]> input = ?,
Tensor<[92, 80, 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
60 Tensor<[1, 92, 14, 14]> grad_output = ?,
Tensor<[1, 92, 14, 14]> input = ?,
Tensor<[92, 1, 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 = 92,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
61 Tensor<[1, 960, 1, 1]> grad_output = ?,
Tensor<[1, 240, 1, 1]> input = ?,
Tensor<[960, 240, 1, 1]> weight = ?,
Optional[List[int]] bias_sizes = [960],
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, True]		 None Fallback 1 0
62 Tensor<[1, 960, 7, 7]> grad_output = ?,
Tensor<[1, 160, 7, 7]> input = ?,
Tensor<[960, 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

aten.copy.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 112, 14, 14]> self = ?,
Tensor<[1, 112, 14, 14]> src = ?		 None Fallback 1 -1
1 Tensor<[1, 16, 112, 112]> self = ?,
Tensor<[1, 16, 112, 112]> src = ?		 None Fallback 1 -1
2 Tensor<[1, 160, 7, 7]> self = ?,
Tensor<[1, 160, 7, 7]> src = ?		 None Fallback 1 -1
3 Tensor<[1, 24, 56, 56]> self = ?,
Tensor<[1, 24, 56, 56]> src = ?		 None Fallback 1 -1
4 Tensor<[1, 40, 28, 28]> self = ?,
Tensor<[1, 40, 28, 28]> src = ?		 None Fallback 1 -1
5 Tensor<[1, 80, 14, 14]> self = ?,
Tensor<[1, 80, 14, 14]> src = ?		 None Fallback 1 -1
6 Tensor<[112, 14, 14]> self = ?,
Tensor<[112, 14, 14]> src = ?		 None Fallback 1 -1
7 Tensor<[16, 112, 112]> self = ?,
Tensor<[16, 112, 112]> src = ?		 None Fallback 1 -1
8 Tensor<[160, 7, 7]> self = ?,
Tensor<[160, 7, 7]> src = ?		 None Fallback 1 -1
9 Tensor<[24, 56, 56]> self = ?,
Tensor<[24, 56, 56]> src = ?		 None Fallback 1 -1
10 Tensor<[40, 28, 28]> self = ?,
Tensor<[40, 28, 28]> src = ?		 None Fallback 1 -1
11 Tensor<[80, 14, 14]> self = ?,
Tensor<[80, 14, 14]> src = ?		 None Fallback 1 -1

aten.detach.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 100, 14, 14]> self = ? Removed Done 1 -1
1 Tensor<[1, 120, 1, 1]> self = ? Removed Done 1 -1
2 Tensor<[1, 120, 28, 28]> self = ? Removed Done 1 -1
3 Tensor<[1, 1280, 1, 1]> self = ? Removed Done 1 -1
4 Tensor<[1, 16, 112, 112]> self = ? Removed Done 1 -1
5 Tensor<[1, 168, 1, 1]> self = ? Removed Done 1 -1
6 Tensor<[1, 20, 1, 1]> self = ? Removed Done 1 -1
7 Tensor<[1, 24, 112, 112]> self = ? Removed Done 1 -1
8 Tensor<[1, 240, 1, 1]> self = ? Removed Done 1 -1
9 Tensor<[1, 240, 14, 14]> self = ? Removed Done 1 -1
10 Tensor<[1, 32, 1, 1]> self = ? Removed Done 1 -1
11 Tensor<[1, 336, 14, 14]> self = ? Removed Done 1 -1
12 Tensor<[1, 36, 56, 56]> self = ? Removed Done 1 -1
13 Tensor<[1, 480, 7, 7]> self = ? Removed Done 1 -1
14 Tensor<[1, 60, 28, 28]> self = ? Removed Done 1 -1
15 Tensor<[1, 8, 112, 112]> self = ? Removed Done 1 -1
16 Tensor<[1, 92, 14, 14]> self = ? Removed Done 1 -1
17 Tensor<[1, 960, 7, 7]> self = ? Removed Done 1 -1

aten.div.Scalar

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 120, 28, 28]> self = ?,
number other = 784		 None Fallback 1 -1
1 Tensor<[1, 480, 14, 14]> self = ?,
number other = 196		 None Fallback 1 -1
2 Tensor<[1, 672, 14, 14]> self = ?,
number other = 196		 None Fallback 1 -1
3 Tensor<[1, 672, 7, 7]> self = ?,
number other = 49		 None Fallback 1 -1
4 Tensor<[1, 72, 28, 28]> self = ?,
number other = 784		 None Fallback 1 -1
5 Tensor<[1, 960, 7, 7]> self = ?,
number other = 49		 None Fallback 1 -1

aten.expand.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 120, 1, 1]> self = ?,
List[int] size = [1, 120, 28, 28]		 None Fallback 1 -1
1 Tensor<[1, 480, 1, 1]> self = ?,
List[int] size = [1, 480, 14, 14]		 None Fallback 1 -1
2 Tensor<[1, 672, 1, 1]> self = ?,
List[int] size = [1, 672, 14, 14]		 None Fallback 1 -1
3 Tensor<[1, 672, 1, 1]> self = ?,
List[int] size = [1, 672, 7, 7]		 None Fallback 1 -1
4 Tensor<[1, 72, 1, 1]> self = ?,
List[int] size = [1, 72, 28, 28]		 None Fallback 1 -1
5 Tensor<[1, 960, 1, 1]> self = ?,
List[int] size = [1, 960, 7, 7]		 None Fallback 1 -1

aten.hardsigmoid.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 120, 1, 1]> self = ? Done Done 0.999982 0
1 Tensor<[1, 480, 1, 1]> self = ? Done Done 0.99998 0
2 Tensor<[1, 672, 1, 1]> self = ? Done Done 0.999983 0
3 Tensor<[1, 72, 1, 1]> self = ? Done Done 0.999988 0
4 Tensor<[1, 960, 1, 1]> self = ? Done Done 0.999984 0

aten.hardsigmoid_backward.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 120, 1, 1]> grad_output = ?,
Tensor<[1, 120, 1, 1]> self = ?		 None Fallback 1 -1
1 Tensor<[1, 480, 1, 1]> grad_output = ?,
Tensor<[1, 480, 1, 1]> self = ?		 None Fallback 1 -1
2 Tensor<[1, 672, 1, 1]> grad_output = ?,
Tensor<[1, 672, 1, 1]> self = ?		 None Fallback 1 -1
3 Tensor<[1, 72, 1, 1]> grad_output = ?,
Tensor<[1, 72, 1, 1]> self = ?		 None Fallback 1 -1
4 Tensor<[1, 960, 1, 1]> grad_output = ?,
Tensor<[1, 960, 1, 1]> self = ?		 None Fallback 1 -1

aten.mean.dim

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 120, 28, 28]> self = ?,
Optional[List[int]] dim = [2, 3],
bool keepdim = True		 Done Done 0.999995 0
1 Tensor<[1, 480, 14, 14]> self = ?,
Optional[List[int]] dim = [2, 3],
bool keepdim = True		 Done Done 0.999996 0
2 Tensor<[1, 672, 14, 14]> self = ?,
Optional[List[int]] dim = [2, 3],
bool keepdim = True		 Done Done 0.999996 0
3 Tensor<[1, 672, 7, 7]> self = ?,
Optional[List[int]] dim = [2, 3],
bool keepdim = True		 Done Done 0.999996 0
4 Tensor<[1, 72, 28, 28]> self = ?,
Optional[List[int]] dim = [2, 3],
bool keepdim = True		 Done Done 0.999994 0
5 Tensor<[1, 960, 7, 7]> self = ?,
Optional[List[int]] dim = [-1, -2],
bool keepdim = True		 Done Done 0.999996 0
6 Tensor<[1, 960, 7, 7]> self = ?,
Optional[List[int]] dim = [2, 3],
bool keepdim = True		 Done Done 0.999996 0

aten.mm.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1000]> self = ?,
Tensor<[1000, 1280]> mat2 = ?		 Done Done 0.999967 0
1 Tensor<[1000, 1]> self = ?,
Tensor<[1, 1280]> mat2 = ?		 Done Done 0.999992 0

aten.mul.Tensor

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 120, 28, 28]> self = ?,
Tensor<[1, 120, 1, 1]> other = ?		 Done Done 0.999996 0
1 Tensor<[1, 120, 28, 28]> self = ?,
Tensor<[1, 120, 28, 28]> other = ?		 Done Done 0.999996 0
2 Tensor<[1, 480, 14, 14]> self = ?,
Tensor<[1, 480, 1, 1]> other = ?		 Done Done 0.999996 0
3 Tensor<[1, 480, 14, 14]> self = ?,
Tensor<[1, 480, 14, 14]> other = ?		 Done Done 0.999996 0
4 Tensor<[1, 672, 14, 14]> self = ?,
Tensor<[1, 672, 1, 1]> other = ?		 Done Done 0.999996 0
5 Tensor<[1, 672, 14, 14]> self = ?,
Tensor<[1, 672, 14, 14]> other = ?		 Done Done 0.999996 0
6 Tensor<[1, 672, 7, 7]> self = ?,
Tensor<[1, 672, 1, 1]> other = ?		 Done Done 0.999996 0
7 Tensor<[1, 672, 7, 7]> self = ?,
Tensor<[1, 672, 7, 7]> other = ?		 Done Done 0.999996 0
8 Tensor<[1, 72, 28, 28]> self = ?,
Tensor<[1, 72, 1, 1]> other = ?		 Done Done 0.999996 0
9 Tensor<[1, 72, 28, 28]> self = ?,
Tensor<[1, 72, 28, 28]> other = ?		 Done Done 0.999996 0
10 Tensor<[1, 960, 7, 7]> self = ?,
Tensor<[1, 960, 1, 1]> other = ?		 Done Done 0.999996 0
11 Tensor<[1, 960, 7, 7]> self = ?,
Tensor<[1, 960, 7, 7]> other = ?		 Done Done 0.999996 0

aten.native_batch_norm_backward.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 100, 14, 14]> grad_out = ?,
Tensor<[1, 100, 14, 14]> input = ?,
Optional[Tensor]<[100]> weight = ?,
Optional[Tensor]<[100]> running_mean = ?,
Optional[Tensor]<[100]> running_var = ?,
Optional[Tensor]<[100]> save_mean = ?,
Optional[Tensor]<[100]> save_invstd = ?,
bool train = True,
float eps = 1e-05,
List[bool] output_mask = [True, True, True]		 None Unknown N/A N/A
1 Tensor<[1, 112, 14, 14]> grad_out = ?,
Tensor<[1, 112, 14, 14]> input = ?,
Optional[Tensor]<[112]> weight = ?,
Optional[Tensor]<[112]> running_mean = ?,
Optional[Tensor]<[112]> running_var = ?,
Optional[Tensor]<[112]> save_mean = ?,
Optional[Tensor]<[112]> save_invstd = ?,
bool train = True,
float eps = 1e-05,
List[bool] output_mask = [True, True, True]		 None Fallback 1.0 0
2 Tensor<[1, 112, 7, 7]> grad_out = ?,
Tensor<[1, 112, 7, 7]> input = ?,
Optional[Tensor]<[112]> weight = ?,
Optional[Tensor]<[112]> running_mean = ?,
Optional[Tensor]<[112]> running_var = ?,
Optional[Tensor]<[112]> save_mean = ?,
Optional[Tensor]<[112]> save_invstd = ?,
bool train = True,
float eps = 1e-05,
List[bool] output_mask = [True, True, True]		 None Fallback 1.0 0
3 Tensor<[1, 12, 56, 56]> grad_out = ?,
Tensor<[1, 12, 56, 56]> input = ?,
Optional[Tensor]<[12]> weight = ?,
Optional[Tensor]<[12]> running_mean = ?,
Optional[Tensor]<[12]> running_var = ?,
Optional[Tensor]<[12]> save_mean = ?,
Optional[Tensor]<[12]> save_invstd = ?,
bool train = True,
float eps = 1e-05,
List[bool] output_mask = [True, True, True]		 None Unknown N/A N/A
4 Tensor<[1, 120, 28, 28]> grad_out = ?,
Tensor<[1, 120, 28, 28]> input = ?,
Optional[Tensor]<[120]> weight = ?,
Optional[Tensor]<[120]> running_mean = ?,
Optional[Tensor]<[120]> running_var = ?,
Optional[Tensor]<[120]> save_mean = ?,
Optional[Tensor]<[120]> save_invstd = ?,
bool train = True,
float eps = 1e-05,
List[bool] output_mask = [True, True, True]		 None Unknown N/A N/A
5 Tensor<[1, 16, 112, 112]> grad_out = ?,
Tensor<[1, 16, 112, 112]> input = ?,
Optional[Tensor]<[16]> weight = ?,
Optional[Tensor]<[16]> running_mean = ?,
Optional[Tensor]<[16]> running_var = ?,
Optional[Tensor]<[16]> save_mean = ?,
Optional[Tensor]<[16]> save_invstd = ?,
bool train = True,
float eps = 1e-05,
List[bool] output_mask = [True, True, True]		 None Unknown N/A N/A
6 Tensor<[1, 16, 56, 56]> grad_out = ?,
Tensor<[1, 16, 56, 56]> input = ?,
Optional[Tensor]<[16]> weight = ?,
Optional[Tensor]<[16]> running_mean = ?,
Optional[Tensor]<[16]> running_var = ?,
Optional[Tensor]<[16]> save_mean = ?,
Optional[Tensor]<[16]> save_invstd = ?,
bool train = True,
float eps = 1e-05,
List[bool] output_mask = [True, True, True]		 None Unknown N/A N/A
7 Tensor<[1, 160, 7, 7]> grad_out = ?,
Tensor<[1, 160, 7, 7]> input = ?,
Optional[Tensor]<[160]> weight = ?,
Optional[Tensor]<[160]> running_mean = ?,
Optional[Tensor]<[160]> running_var = ?,
Optional[Tensor]<[160]> save_mean = ?,
Optional[Tensor]<[160]> save_invstd = ?,
bool train = True,
float eps = 1e-05,
List[bool] output_mask = [True, True, True]		 None Fallback 1.0 0
8 Tensor<[1, 20, 28, 28]> grad_out = ?,
Tensor<[1, 20, 28, 28]> input = ?,
Optional[Tensor]<[20]> weight = ?,
Optional[Tensor]<[20]> running_mean = ?,
Optional[Tensor]<[20]> running_var = ?,
Optional[Tensor]<[20]> save_mean = ?,
Optional[Tensor]<[20]> save_invstd = ?,
bool train = True,
float eps = 1e-05,
List[bool] output_mask = [True, True, True]		 None Unknown N/A N/A
9 Tensor<[1, 24, 112, 112]> grad_out = ?,
Tensor<[1, 24, 112, 112]> input = ?,
Optional[Tensor]<[24]> weight = ?,
Optional[Tensor]<[24]> running_mean = ?,
Optional[Tensor]<[24]> running_var = ?,
Optional[Tensor]<[24]> save_mean = ?,
Optional[Tensor]<[24]> save_invstd = ?,
bool train = True,
float eps = 1e-05,
List[bool] output_mask = [True, True, True]		 None Unknown N/A N/A
10 Tensor<[1, 24, 28, 28]> grad_out = ?,
Tensor<[1, 24, 28, 28]> input = ?,
Optional[Tensor]<[24]> weight = ?,
Optional[Tensor]<[24]> running_mean = ?,
Optional[Tensor]<[24]> running_var = ?,
Optional[Tensor]<[24]> save_mean = ?,
Optional[Tensor]<[24]> save_invstd = ?,
bool train = True,
float eps = 1e-05,
List[bool] output_mask = [True, True, True]		 None Unknown N/A N/A
11 Tensor<[1, 24, 56, 56]> grad_out = ?,
Tensor<[1, 24, 56, 56]> input = ?,
Optional[Tensor]<[24]> weight = ?,
Optional[Tensor]<[24]> running_mean = ?,
Optional[Tensor]<[24]> running_var = ?,
Optional[Tensor]<[24]> save_mean = ?,
Optional[Tensor]<[24]> save_invstd = ?,
bool train = True,
float eps = 1e-05,
List[bool] output_mask = [True, True, True]		 None Unknown N/A N/A
12 Tensor<[1, 240, 14, 14]> grad_out = ?,
Tensor<[1, 240, 14, 14]> input = ?,
Optional[Tensor]<[240]> weight = ?,
Optional[Tensor]<[240]> running_mean = ?,
Optional[Tensor]<[240]> running_var = ?,
Optional[Tensor]<[240]> save_mean = ?,
Optional[Tensor]<[240]> save_invstd = ?,
bool train = True,
float eps = 1e-05,
List[bool] output_mask = [True, True, True]		 None Unknown N/A N/A
13 Tensor<[1, 336, 14, 14]> grad_out = ?,
Tensor<[1, 336, 14, 14]> input = ?,
Optional[Tensor]<[336]> weight = ?,
Optional[Tensor]<[336]> running_mean = ?,
Optional[Tensor]<[336]> running_var = ?,
Optional[Tensor]<[336]> save_mean = ?,
Optional[Tensor]<[336]> save_invstd = ?,
bool train = True,
float eps = 1e-05,
List[bool] output_mask = [True, True, True]		 None Fallback 1.0 0
14 Tensor<[1, 36, 56, 56]> grad_out = ?,
Tensor<[1, 36, 56, 56]> input = ?,
Optional[Tensor]<[36]> weight = ?,
Optional[Tensor]<[36]> running_mean = ?,
Optional[Tensor]<[36]> running_var = ?,
Optional[Tensor]<[36]> save_mean = ?,
Optional[Tensor]<[36]> save_invstd = ?,
bool train = True,
float eps = 1e-05,
List[bool] output_mask = [True, True, True]		 None Unknown N/A N/A
15 Tensor<[1, 40, 14, 14]> grad_out = ?,
Tensor<[1, 40, 14, 14]> input = ?,
Optional[Tensor]<[40]> weight = ?,
Optional[Tensor]<[40]> running_mean = ?,
Optional[Tensor]<[40]> running_var = ?,
Optional[Tensor]<[40]> save_mean = ?,
Optional[Tensor]<[40]> save_invstd = ?,
bool train = True,
float eps = 1e-05,
List[bool] output_mask = [True, True, True]		 None Unknown N/A N/A
16 Tensor<[1, 40, 28, 28]> grad_out = ?,
Tensor<[1, 40, 28, 28]> input = ?,
Optional[Tensor]<[40]> weight = ?,
Optional[Tensor]<[40]> running_mean = ?,
Optional[Tensor]<[40]> running_var = ?,
Optional[Tensor]<[40]> save_mean = ?,
Optional[Tensor]<[40]> save_invstd = ?,
bool train = True,
float eps = 1e-05,
List[bool] output_mask = [True, True, True]		 None Unknown N/A N/A
17 Tensor<[1, 48, 56, 56]> grad_out = ?,
Tensor<[1, 48, 56, 56]> input = ?,
Optional[Tensor]<[48]> weight = ?,
Optional[Tensor]<[48]> running_mean = ?,
Optional[Tensor]<[48]> running_var = ?,
Optional[Tensor]<[48]> save_mean = ?,
Optional[Tensor]<[48]> save_invstd = ?,
bool train = True,
float eps = 1e-05,
List[bool] output_mask = [True, True, True]		 None Unknown N/A N/A
18 Tensor<[1, 480, 7, 7]> grad_out = ?,
Tensor<[1, 480, 7, 7]> input = ?,
Optional[Tensor]<[480]> weight = ?,
Optional[Tensor]<[480]> running_mean = ?,
Optional[Tensor]<[480]> running_var = ?,
Optional[Tensor]<[480]> save_mean = ?,
Optional[Tensor]<[480]> save_invstd = ?,
bool train = True,
float eps = 1e-05,
List[bool] output_mask = [True, True, True]		 None Fallback 1.0 0
19 Tensor<[1, 56, 14, 14]> grad_out = ?,
Tensor<[1, 56, 14, 14]> input = ?,
Optional[Tensor]<[56]> weight = ?,
Optional[Tensor]<[56]> running_mean = ?,
Optional[Tensor]<[56]> running_var = ?,
Optional[Tensor]<[56]> save_mean = ?,
Optional[Tensor]<[56]> save_invstd = ?,
bool train = True,
float eps = 1e-05,
List[bool] output_mask = [True, True, True]		 None Fallback 1.0 0
20 Tensor<[1, 60, 28, 28]> grad_out = ?,
Tensor<[1, 60, 28, 28]> input = ?,
Optional[Tensor]<[60]> weight = ?,
Optional[Tensor]<[60]> running_mean = ?,
Optional[Tensor]<[60]> running_var = ?,
Optional[Tensor]<[60]> save_mean = ?,
Optional[Tensor]<[60]> save_invstd = ?,
bool train = True,
float eps = 1e-05,
List[bool] output_mask = [True, True, True]		 None Unknown N/A N/A
21 Tensor<[1, 672, 7, 7]> grad_out = ?,
Tensor<[1, 672, 7, 7]> input = ?,
Optional[Tensor]<[672]> weight = ?,
Optional[Tensor]<[672]> running_mean = ?,
Optional[Tensor]<[672]> running_var = ?,
Optional[Tensor]<[672]> save_mean = ?,
Optional[Tensor]<[672]> save_invstd = ?,
bool train = True,
float eps = 1e-05,
List[bool] output_mask = [True, True, True]		 None Fallback 1.0 0
22 Tensor<[1, 72, 28, 28]> grad_out = ?,
Tensor<[1, 72, 28, 28]> input = ?,
Optional[Tensor]<[72]> weight = ?,
Optional[Tensor]<[72]> running_mean = ?,
Optional[Tensor]<[72]> running_var = ?,
Optional[Tensor]<[72]> save_mean = ?,
Optional[Tensor]<[72]> save_invstd = ?,
bool train = True,
float eps = 1e-05,
List[bool] output_mask = [True, True, True]		 None Unknown N/A N/A
23 Tensor<[1, 8, 112, 112]> grad_out = ?,
Tensor<[1, 8, 112, 112]> input = ?,
Optional[Tensor]<[8]> weight = ?,
Optional[Tensor]<[8]> running_mean = ?,
Optional[Tensor]<[8]> running_var = ?,
Optional[Tensor]<[8]> save_mean = ?,
Optional[Tensor]<[8]> save_invstd = ?,
bool train = True,
float eps = 1e-05,
List[bool] output_mask = [True, True, True]		 None Unknown N/A N/A
24 Tensor<[1, 80, 14, 14]> grad_out = ?,
Tensor<[1, 80, 14, 14]> input = ?,
Optional[Tensor]<[80]> weight = ?,
Optional[Tensor]<[80]> running_mean = ?,
Optional[Tensor]<[80]> running_var = ?,
Optional[Tensor]<[80]> save_mean = ?,
Optional[Tensor]<[80]> save_invstd = ?,
bool train = True,
float eps = 1e-05,
List[bool] output_mask = [True, True, True]		 None Unknown N/A N/A
25 Tensor<[1, 80, 7, 7]> grad_out = ?,
Tensor<[1, 80, 7, 7]> input = ?,
Optional[Tensor]<[80]> weight = ?,
Optional[Tensor]<[80]> running_mean = ?,
Optional[Tensor]<[80]> running_var = ?,
Optional[Tensor]<[80]> save_mean = ?,
Optional[Tensor]<[80]> save_invstd = ?,
bool train = True,
float eps = 1e-05,
List[bool] output_mask = [True, True, True]		 None Fallback 1.0 0
26 Tensor<[1, 92, 14, 14]> grad_out = ?,
Tensor<[1, 92, 14, 14]> input = ?,
Optional[Tensor]<[92]> weight = ?,
Optional[Tensor]<[92]> running_mean = ?,
Optional[Tensor]<[92]> running_var = ?,
Optional[Tensor]<[92]> save_mean = ?,
Optional[Tensor]<[92]> save_invstd = ?,
bool train = True,
float eps = 1e-05,
List[bool] output_mask = [True, True, True]		 None Unknown N/A N/A
27 Tensor<[1, 960, 7, 7]> grad_out = ?,
Tensor<[1, 960, 7, 7]> input = ?,
Optional[Tensor]<[960]> weight = ?,
Optional[Tensor]<[960]> running_mean = ?,
Optional[Tensor]<[960]> running_var = ?,
Optional[Tensor]<[960]> save_mean = ?,
Optional[Tensor]<[960]> save_invstd = ?,
bool train = True,
float eps = 1e-05,
List[bool] output_mask = [True, True, True]		 None Fallback 1.0 0

aten.native_dropout.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1280]> input = ?,
float p = 0.2,
Optional[bool] train = True		 None Fallback 0.402834 0

aten.native_dropout_backward.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1280]> grad_output = ?,
Tensor<[1, 1280]> mask = ?,
float scale = 1.25		 None Fallback 1 -1

aten.new_empty_strided.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 112, 14, 14]> self = ?,
List[int] size = [1, 112, 14, 14],
List[int] stride = [21952, 196, 14, 1]		 None Fallback 0.0754391 -1
1 Tensor<[1, 16, 112, 112]> self = ?,
List[int] size = [1, 16, 112, 112],
List[int] stride = [200704, 12544, 112, 1]		 None Fallback -0.00328806 -1
2 Tensor<[1, 160, 7, 7]> self = ?,
List[int] size = [1, 160, 7, 7],
List[int] stride = [7840, 49, 7, 1]		 None Fallback 0.018279 -1
3 Tensor<[1, 24, 56, 56]> self = ?,
List[int] size = [1, 24, 56, 56],
List[int] stride = [75264, 3136, 56, 1]		 None Fallback 0.991845 -1
4 Tensor<[1, 40, 28, 28]> self = ?,
List[int] size = [1, 40, 28, 28],
List[int] stride = [31360, 784, 28, 1]		 None Fallback 0.75733 -1
5 Tensor<[1, 80, 14, 14]> self = ?,
List[int] size = [1, 80, 14, 14],
List[int] stride = [15680, 196, 14, 1]		 None Fallback 0.127726 -1

aten.new_zeros.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[112, 14, 14]> self = ?,
List[int] size = [21952]		 Removed Done 1 0
1 Tensor<[16, 112, 112]> self = ?,
List[int] size = [200704]		 Removed Done 1 0
2 Tensor<[160, 7, 7]> self = ?,
List[int] size = [7840]		 Removed Done 1 0
3 Tensor<[24, 56, 56]> self = ?,
List[int] size = [75264]		 Removed Done 1 0
4 Tensor<[40, 28, 28]> self = ?,
List[int] size = [31360]		 Removed Done 1 0
5 Tensor<[80, 14, 14]> self = ?,
List[int] size = [15680]		 Removed Done 1 0

aten.relu.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 100, 14, 14]> self = ? Done Done 1 0
1 Tensor<[1, 120, 1, 1]> self = ? Done Done 1 0
2 Tensor<[1, 120, 28, 28]> self = ? Done Done 1 0
3 Tensor<[1, 1280, 1, 1]> self = ? Done Done 1 0
4 Tensor<[1, 16, 112, 112]> self = ? Done Done 1 0
5 Tensor<[1, 168, 1, 1]> self = ? Done Done 1 0
6 Tensor<[1, 20, 1, 1]> self = ? Done Done 1 0
7 Tensor<[1, 24, 112, 112]> self = ? Done Done 1 0
8 Tensor<[1, 240, 1, 1]> self = ? Done Done 1 0
9 Tensor<[1, 240, 14, 14]> self = ? Done Done 1 0
10 Tensor<[1, 32, 1, 1]> self = ? Done Done 1 0
11 Tensor<[1, 336, 14, 14]> self = ? Done Done 1 0
12 Tensor<[1, 36, 56, 56]> self = ? Done Done 1 0
13 Tensor<[1, 480, 7, 7]> self = ? Done Done 1 0
14 Tensor<[1, 60, 28, 28]> self = ? Done Done 1 0
15 Tensor<[1, 8, 112, 112]> self = ? Done Done 1 0
16 Tensor<[1, 92, 14, 14]> self = ? Done Done 1 0
17 Tensor<[1, 960, 7, 7]> self = ? Done Done 1 0

aten.slice.Tensor

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 112, 14, 14]> self = ?,
int dim = 0,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
1 Tensor<[1, 112, 14, 14]> self = ?,
int dim = 1,
Optional[int] start = 0,
Optional[int] end = 56		 Done Done 1 -1
2 Tensor<[1, 112, 14, 14]> self = ?,
int dim = 1,
Optional[int] start = 56,
Optional[int] end = 112		 Done Done 1 -1
3 Tensor<[1, 112, 14, 14]> self = ?,
int dim = 2,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
4 Tensor<[1, 112, 14, 14]> self = ?,
int dim = 3,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
5 Tensor<[1, 120, 28, 28]> self = ?,
int dim = 0,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
6 Tensor<[1, 120, 28, 28]> self = ?,
int dim = 1,
Optional[int] start = 0,
Optional[int] end = 60		 Done Done 1 -1
7 Tensor<[1, 120, 28, 28]> self = ?,
int dim = 1,
Optional[int] start = 60,
Optional[int] end = 120		 Done Done 1 -1
8 Tensor<[1, 120, 28, 28]> self = ?,
int dim = 2,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
9 Tensor<[1, 120, 28, 28]> self = ?,
int dim = 3,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
10 Tensor<[1, 16, 112, 112]> self = ?,
int dim = 0,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
11 Tensor<[1, 16, 112, 112]> self = ?,
int dim = 1,
Optional[int] start = 0,
Optional[int] end = 8		 Done Done 1 -1
12 Tensor<[1, 16, 112, 112]> self = ?,
int dim = 1,
Optional[int] start = 8,
Optional[int] end = 16		 Done Done 1 -1
13 Tensor<[1, 16, 112, 112]> self = ?,
int dim = 2,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
14 Tensor<[1, 16, 112, 112]> self = ?,
int dim = 3,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
15 Tensor<[1, 160, 7, 7]> self = ?,
int dim = 0,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
16 Tensor<[1, 160, 7, 7]> self = ?,
int dim = 1,
Optional[int] start = 0,
Optional[int] end = 80		 Done Done 1 -1
17 Tensor<[1, 160, 7, 7]> self = ?,
int dim = 1,
Optional[int] start = 80,
Optional[int] end = 160		 Done Done 1 -1
18 Tensor<[1, 160, 7, 7]> self = ?,
int dim = 2,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
19 Tensor<[1, 160, 7, 7]> self = ?,
int dim = 3,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
20 Tensor<[1, 184, 14, 14]> self = ?,
int dim = 0,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
21 Tensor<[1, 184, 14, 14]> self = ?,
int dim = 1,
Optional[int] start = 0,
Optional[int] end = 92		 Done Done 1 -1
22 Tensor<[1, 184, 14, 14]> self = ?,
int dim = 1,
Optional[int] start = 92,
Optional[int] end = 184		 Done Done 1 -1
23 Tensor<[1, 184, 14, 14]> self = ?,
int dim = 2,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
24 Tensor<[1, 184, 14, 14]> self = ?,
int dim = 3,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
25 Tensor<[1, 200, 14, 14]> self = ?,
int dim = 0,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
26 Tensor<[1, 200, 14, 14]> self = ?,
int dim = 1,
Optional[int] start = 0,
Optional[int] end = 100		 Done Done 1 -1
27 Tensor<[1, 200, 14, 14]> self = ?,
int dim = 1,
Optional[int] start = 100,
Optional[int] end = 200		 Done Done 1 -1
28 Tensor<[1, 200, 14, 14]> self = ?,
int dim = 2,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
29 Tensor<[1, 200, 14, 14]> self = ?,
int dim = 3,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
30 Tensor<[1, 24, 56, 56]> self = ?,
int dim = 0,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
31 Tensor<[1, 24, 56, 56]> self = ?,
int dim = 1,
Optional[int] start = 0,
Optional[int] end = 12		 Done Done 1 -1
32 Tensor<[1, 24, 56, 56]> self = ?,
int dim = 1,
Optional[int] start = 12,
Optional[int] end = 24		 Done Done 1 -1
33 Tensor<[1, 24, 56, 56]> self = ?,
int dim = 2,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
34 Tensor<[1, 24, 56, 56]> self = ?,
int dim = 3,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
35 Tensor<[1, 240, 28, 28]> self = ?,
int dim = 0,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
36 Tensor<[1, 240, 28, 28]> self = ?,
int dim = 1,
Optional[int] start = 0,
Optional[int] end = 120		 Done Done 1 -1
37 Tensor<[1, 240, 28, 28]> self = ?,
int dim = 1,
Optional[int] start = 120,
Optional[int] end = 240		 Done Done 1 -1
38 Tensor<[1, 240, 28, 28]> self = ?,
int dim = 2,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
39 Tensor<[1, 240, 28, 28]> self = ?,
int dim = 3,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
40 Tensor<[1, 40, 28, 28]> self = ?,
int dim = 0,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
41 Tensor<[1, 40, 28, 28]> self = ?,
int dim = 1,
Optional[int] start = 0,
Optional[int] end = 20		 Done Done 1 -1
42 Tensor<[1, 40, 28, 28]> self = ?,
int dim = 1,
Optional[int] start = 20,
Optional[int] end = 40		 Done Done 1 -1
43 Tensor<[1, 40, 28, 28]> self = ?,
int dim = 2,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
44 Tensor<[1, 40, 28, 28]> self = ?,
int dim = 3,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
45 Tensor<[1, 48, 112, 112]> self = ?,
int dim = 0,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
46 Tensor<[1, 48, 112, 112]> self = ?,
int dim = 1,
Optional[int] start = 0,
Optional[int] end = 24		 Done Done 1 -1
47 Tensor<[1, 48, 112, 112]> self = ?,
int dim = 1,
Optional[int] start = 24,
Optional[int] end = 48		 Done Done 1 -1
48 Tensor<[1, 48, 112, 112]> self = ?,
int dim = 2,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
49 Tensor<[1, 48, 112, 112]> self = ?,
int dim = 3,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
50 Tensor<[1, 480, 14, 14]> self = ?,
int dim = 0,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
51 Tensor<[1, 480, 14, 14]> self = ?,
int dim = 1,
Optional[int] start = 0,
Optional[int] end = 240		 Done Done 1 -1
52 Tensor<[1, 480, 14, 14]> self = ?,
int dim = 1,
Optional[int] start = 240,
Optional[int] end = 480		 Done Done 1 -1
53 Tensor<[1, 480, 14, 14]> self = ?,
int dim = 2,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
54 Tensor<[1, 480, 14, 14]> self = ?,
int dim = 3,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
55 Tensor<[1, 672, 14, 14]> self = ?,
int dim = 0,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
56 Tensor<[1, 672, 14, 14]> self = ?,
int dim = 1,
Optional[int] start = 0,
Optional[int] end = 336		 Done Done 1 -1
57 Tensor<[1, 672, 14, 14]> self = ?,
int dim = 1,
Optional[int] start = 336,
Optional[int] end = 672		 Done Done 1 -1
58 Tensor<[1, 672, 14, 14]> self = ?,
int dim = 2,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
59 Tensor<[1, 672, 14, 14]> self = ?,
int dim = 3,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
60 Tensor<[1, 72, 56, 56]> self = ?,
int dim = 0,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
61 Tensor<[1, 72, 56, 56]> self = ?,
int dim = 1,
Optional[int] start = 0,
Optional[int] end = 36		 Done Done 1 -1
62 Tensor<[1, 72, 56, 56]> self = ?,
int dim = 1,
Optional[int] start = 36,
Optional[int] end = 72		 Done Done 1 -1
63 Tensor<[1, 72, 56, 56]> self = ?,
int dim = 2,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
64 Tensor<[1, 72, 56, 56]> self = ?,
int dim = 3,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
65 Tensor<[1, 80, 14, 14]> self = ?,
int dim = 0,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
66 Tensor<[1, 80, 14, 14]> self = ?,
int dim = 1,
Optional[int] start = 0,
Optional[int] end = 40		 Done Done 1 -1
67 Tensor<[1, 80, 14, 14]> self = ?,
int dim = 1,
Optional[int] start = 40,
Optional[int] end = 80		 Done Done 1 -1
68 Tensor<[1, 80, 14, 14]> self = ?,
int dim = 2,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
69 Tensor<[1, 80, 14, 14]> self = ?,
int dim = 3,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
70 Tensor<[1, 960, 7, 7]> self = ?,
int dim = 0,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
71 Tensor<[1, 960, 7, 7]> self = ?,
int dim = 1,
Optional[int] start = 0,
Optional[int] end = 480		 Done Done 1 -1
72 Tensor<[1, 960, 7, 7]> self = ?,
int dim = 1,
Optional[int] start = 480,
Optional[int] end = 960		 Done Done 1 -1
73 Tensor<[1, 960, 7, 7]> self = ?,
int dim = 2,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
74 Tensor<[1, 960, 7, 7]> self = ?,
int dim = 3,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1

aten.slice_backward.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 120, 28, 28]> grad_output = ?,
List[int] input_sizes = [1, 120, 28, 28],
int dim = 0,
int start = 0,
int end = 9223372036854775807,
int step = 1		 None Fallback 1 -1
1 Tensor<[1, 120, 28, 28]> grad_output = ?,
List[int] input_sizes = [1, 120, 28, 28],
int dim = 2,
int start = 0,
int end = 9223372036854775807,
int step = 1		 None Fallback 1 -1
2 Tensor<[1, 120, 28, 28]> grad_output = ?,
List[int] input_sizes = [1, 120, 28, 28],
int dim = 3,
int start = 0,
int end = 9223372036854775807,
int step = 1		 None Fallback 1 -1
3 Tensor<[1, 16, 112, 112]> grad_output = ?,
List[int] input_sizes = [1, 16, 112, 112],
int dim = 0,
int start = 0,
int end = 9223372036854775807,
int step = 1		 None Fallback 1 -1
4 Tensor<[1, 16, 112, 112]> grad_output = ?,
List[int] input_sizes = [1, 16, 112, 112],
int dim = 2,
int start = 0,
int end = 9223372036854775807,
int step = 1		 None Fallback 1 -1
5 Tensor<[1, 16, 112, 112]> grad_output = ?,
List[int] input_sizes = [1, 16, 112, 112],
int dim = 3,
int start = 0,
int end = 9223372036854775807,
int step = 1		 None Fallback 1 -1
6 Tensor<[1, 184, 14, 14]> grad_output = ?,
List[int] input_sizes = [1, 184, 14, 14],
int dim = 0,
int start = 0,
int end = 9223372036854775807,
int step = 1		 None Fallback 1 -1
7 Tensor<[1, 184, 14, 14]> grad_output = ?,
List[int] input_sizes = [1, 184, 14, 14],
int dim = 2,
int start = 0,
int end = 9223372036854775807,
int step = 1		 None Fallback 1 -1
8 Tensor<[1, 184, 14, 14]> grad_output = ?,
List[int] input_sizes = [1, 184, 14, 14],
int dim = 3,
int start = 0,
int end = 9223372036854775807,
int step = 1		 None Fallback 1 -1
9 Tensor<[1, 200, 14, 14]> grad_output = ?,
List[int] input_sizes = [1, 200, 14, 14],
int dim = 0,
int start = 0,
int end = 9223372036854775807,
int step = 1		 None Fallback 1 -1
10 Tensor<[1, 200, 14, 14]> grad_output = ?,
List[int] input_sizes = [1, 200, 14, 14],
int dim = 2,
int start = 0,
int end = 9223372036854775807,
int step = 1		 None Fallback 1 -1
11 Tensor<[1, 200, 14, 14]> grad_output = ?,
List[int] input_sizes = [1, 200, 14, 14],
int dim = 3,
int start = 0,
int end = 9223372036854775807,
int step = 1		 None Fallback 1 -1
12 Tensor<[1, 240, 28, 28]> grad_output = ?,
List[int] input_sizes = [1, 240, 28, 28],
int dim = 0,
int start = 0,
int end = 9223372036854775807,
int step = 1		 None Fallback 1 -1
13 Tensor<[1, 240, 28, 28]> grad_output = ?,
List[int] input_sizes = [1, 240, 28, 28],
int dim = 2,
int start = 0,
int end = 9223372036854775807,
int step = 1		 None Fallback 1 -1
14 Tensor<[1, 240, 28, 28]> grad_output = ?,
List[int] input_sizes = [1, 240, 28, 28],
int dim = 3,
int start = 0,
int end = 9223372036854775807,
int step = 1		 None Fallback 1 -1
15 Tensor<[1, 48, 112, 112]> grad_output = ?,
List[int] input_sizes = [1, 48, 112, 112],
int dim = 0,
int start = 0,
int end = 9223372036854775807,
int step = 1		 None Fallback 1 -1
16 Tensor<[1, 48, 112, 112]> grad_output = ?,
List[int] input_sizes = [1, 48, 112, 112],
int dim = 2,
int start = 0,
int end = 9223372036854775807,
int step = 1		 None Fallback 1 -1
17 Tensor<[1, 48, 112, 112]> grad_output = ?,
List[int] input_sizes = [1, 48, 112, 112],
int dim = 3,
int start = 0,
int end = 9223372036854775807,
int step = 1		 None Fallback 1 -1
18 Tensor<[1, 480, 14, 14]> grad_output = ?,
List[int] input_sizes = [1, 480, 14, 14],
int dim = 0,
int start = 0,
int end = 9223372036854775807,
int step = 1		 None Fallback 1 -1
19 Tensor<[1, 480, 14, 14]> grad_output = ?,
List[int] input_sizes = [1, 480, 14, 14],
int dim = 2,
int start = 0,
int end = 9223372036854775807,
int step = 1		 None Fallback 1 -1
20 Tensor<[1, 480, 14, 14]> grad_output = ?,
List[int] input_sizes = [1, 480, 14, 14],
int dim = 3,
int start = 0,
int end = 9223372036854775807,
int step = 1		 None Fallback 1 -1
21 Tensor<[1, 672, 14, 14]> grad_output = ?,
List[int] input_sizes = [1, 672, 14, 14],
int dim = 0,
int start = 0,
int end = 9223372036854775807,
int step = 1		 None Fallback 1 -1
22 Tensor<[1, 672, 14, 14]> grad_output = ?,
List[int] input_sizes = [1, 672, 14, 14],
int dim = 2,
int start = 0,
int end = 9223372036854775807,
int step = 1		 None Fallback 1 -1
23 Tensor<[1, 672, 14, 14]> grad_output = ?,
List[int] input_sizes = [1, 672, 14, 14],
int dim = 3,
int start = 0,
int end = 9223372036854775807,
int step = 1		 None Fallback 1 -1
24 Tensor<[1, 72, 56, 56]> grad_output = ?,
List[int] input_sizes = [1, 72, 56, 56],
int dim = 0,
int start = 0,
int end = 9223372036854775807,
int step = 1		 None Fallback 1 -1
25 Tensor<[1, 72, 56, 56]> grad_output = ?,
List[int] input_sizes = [1, 72, 56, 56],
int dim = 2,
int start = 0,
int end = 9223372036854775807,
int step = 1		 None Fallback 1 -1
26 Tensor<[1, 72, 56, 56]> grad_output = ?,
List[int] input_sizes = [1, 72, 56, 56],
int dim = 3,
int start = 0,
int end = 9223372036854775807,
int step = 1		 None Fallback 1 -1
27 Tensor<[1, 960, 7, 7]> grad_output = ?,
List[int] input_sizes = [1, 960, 7, 7],
int dim = 0,
int start = 0,
int end = 9223372036854775807,
int step = 1		 None Fallback 1 -1
28 Tensor<[1, 960, 7, 7]> grad_output = ?,
List[int] input_sizes = [1, 960, 7, 7],
int dim = 2,
int start = 0,
int end = 9223372036854775807,
int step = 1		 None Fallback 1 -1
29 Tensor<[1, 960, 7, 7]> grad_output = ?,
List[int] input_sizes = [1, 960, 7, 7],
int dim = 3,
int start = 0,
int end = 9223372036854775807,
int step = 1		 None Fallback 1 -1

aten.slice_scatter.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 112, 14, 14]> self = ?,
Tensor<[1, 112, 14, 14]> src = ?,
int dim = 0,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
1 Tensor<[1, 112, 14, 14]> self = ?,
Tensor<[1, 112, 14, 14]> src = ?,
int dim = 2,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
2 Tensor<[1, 112, 14, 14]> self = ?,
Tensor<[1, 112, 14, 14]> src = ?,
int dim = 3,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
3 Tensor<[1, 16, 112, 112]> self = ?,
Tensor<[1, 16, 112, 112]> src = ?,
int dim = 0,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
4 Tensor<[1, 16, 112, 112]> self = ?,
Tensor<[1, 16, 112, 112]> src = ?,
int dim = 2,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
5 Tensor<[1, 16, 112, 112]> self = ?,
Tensor<[1, 16, 112, 112]> src = ?,
int dim = 3,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
6 Tensor<[1, 160, 7, 7]> self = ?,
Tensor<[1, 160, 7, 7]> src = ?,
int dim = 0,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
7 Tensor<[1, 160, 7, 7]> self = ?,
Tensor<[1, 160, 7, 7]> src = ?,
int dim = 2,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
8 Tensor<[1, 160, 7, 7]> self = ?,
Tensor<[1, 160, 7, 7]> src = ?,
int dim = 3,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
9 Tensor<[1, 24, 56, 56]> self = ?,
Tensor<[1, 24, 56, 56]> src = ?,
int dim = 0,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
10 Tensor<[1, 24, 56, 56]> self = ?,
Tensor<[1, 24, 56, 56]> src = ?,
int dim = 2,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
11 Tensor<[1, 24, 56, 56]> self = ?,
Tensor<[1, 24, 56, 56]> src = ?,
int dim = 3,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
12 Tensor<[1, 40, 28, 28]> self = ?,
Tensor<[1, 40, 28, 28]> src = ?,
int dim = 0,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
13 Tensor<[1, 40, 28, 28]> self = ?,
Tensor<[1, 40, 28, 28]> src = ?,
int dim = 2,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
14 Tensor<[1, 40, 28, 28]> self = ?,
Tensor<[1, 40, 28, 28]> src = ?,
int dim = 3,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
15 Tensor<[1, 80, 14, 14]> self = ?,
Tensor<[1, 80, 14, 14]> src = ?,
int dim = 0,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
16 Tensor<[1, 80, 14, 14]> self = ?,
Tensor<[1, 80, 14, 14]> src = ?,
int dim = 2,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1
17 Tensor<[1, 80, 14, 14]> self = ?,
Tensor<[1, 80, 14, 14]> src = ?,
int dim = 3,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1 -1

aten.squeeze.dim

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 112, 14, 14]> self = ?,
int dim = 0		 Done Done 1 -1
1 Tensor<[1, 16, 112, 112]> self = ?,
int dim = 0		 Done Done 1 -1
2 Tensor<[1, 160, 7, 7]> self = ?,
int dim = 0		 Done Done 1 -1
3 Tensor<[1, 24, 56, 56]> self = ?,
int dim = 0		 Done Done 1 -1
4 Tensor<[1, 40, 28, 28]> self = ?,
int dim = 0		 Done Done 1 -1
5 Tensor<[1, 80, 14, 14]> self = ?,
int dim = 0		 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
1 Tensor<[1, 120, 28, 28]> self = ?,
Optional[List[int]] dim = [2, 3],
bool keepdim = True		 None Fallback 1 -1
2 Tensor<[1, 480, 14, 14]> self = ?,
Optional[List[int]] dim = [2, 3],
bool keepdim = True		 None Fallback 1 -1
3 Tensor<[1, 672, 14, 14]> self = ?,
Optional[List[int]] dim = [2, 3],
bool keepdim = True		 None Fallback 1 -1
4 Tensor<[1, 672, 7, 7]> self = ?,
Optional[List[int]] dim = [2, 3],
bool keepdim = True		 None Fallback 1 -1
5 Tensor<[1, 72, 28, 28]> self = ?,
Optional[List[int]] dim = [2, 3],
bool keepdim = True		 None Fallback 1 -1
6 Tensor<[1, 960, 7, 7]> self = ?,
Optional[List[int]] dim = [2, 3],
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, 1280]> self = ? Done Done 1 0
2 Tensor<[1280, 1000]> self = ? Done Done 1 0

aten.threshold_backward.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 100, 14, 14]> grad_output = ?,
Tensor<[1, 100, 14, 14]> self = ?,
number threshold = 0		 None Fallback 1 -1
1 Tensor<[1, 120, 1, 1]> grad_output = ?,
Tensor<[1, 120, 1, 1]> self = ?,
number threshold = 0		 None Fallback 1 -1
2 Tensor<[1, 120, 28, 28]> grad_output = ?,
Tensor<[1, 120, 28, 28]> self = ?,
number threshold = 0		 None Fallback 1 -1
3 Tensor<[1, 1280, 1, 1]> grad_output = ?,
Tensor<[1, 1280, 1, 1]> self = ?,
number threshold = 0		 None Fallback 1 -1
4 Tensor<[1, 16, 112, 112]> grad_output = ?,
Tensor<[1, 16, 112, 112]> self = ?,
number threshold = 0		 None Fallback 1 -1
5 Tensor<[1, 168, 1, 1]> grad_output = ?,
Tensor<[1, 168, 1, 1]> self = ?,
number threshold = 0		 None Fallback 1 -1
6 Tensor<[1, 20, 1, 1]> grad_output = ?,
Tensor<[1, 20, 1, 1]> self = ?,
number threshold = 0		 None Fallback 1 -1
7 Tensor<[1, 24, 112, 112]> grad_output = ?,
Tensor<[1, 24, 112, 112]> self = ?,
number threshold = 0		 None Fallback 1 -1
8 Tensor<[1, 240, 1, 1]> grad_output = ?,
Tensor<[1, 240, 1, 1]> self = ?,
number threshold = 0		 None Fallback 1 -1
9 Tensor<[1, 240, 14, 14]> grad_output = ?,
Tensor<[1, 240, 14, 14]> self = ?,
number threshold = 0		 None Fallback 1 -1
10 Tensor<[1, 32, 1, 1]> grad_output = ?,
Tensor<[1, 32, 1, 1]> self = ?,
number threshold = 0		 None Fallback 1 -1
11 Tensor<[1, 336, 14, 14]> grad_output = ?,
Tensor<[1, 336, 14, 14]> self = ?,
number threshold = 0		 None Fallback 1 -1
12 Tensor<[1, 36, 56, 56]> grad_output = ?,
Tensor<[1, 36, 56, 56]> self = ?,
number threshold = 0		 None Fallback 1 -1
13 Tensor<[1, 480, 7, 7]> grad_output = ?,
Tensor<[1, 480, 7, 7]> self = ?,
number threshold = 0		 None Fallback 1 -1
14 Tensor<[1, 60, 28, 28]> grad_output = ?,
Tensor<[1, 60, 28, 28]> self = ?,
number threshold = 0		 None Fallback 1 -1
15 Tensor<[1, 8, 112, 112]> grad_output = ?,
Tensor<[1, 8, 112, 112]> self = ?,
number threshold = 0		 None Fallback 1 -1
16 Tensor<[1, 92, 14, 14]> grad_output = ?,
Tensor<[1, 92, 14, 14]> self = ?,
number threshold = 0		 None Fallback 1 -1
17 Tensor<[1, 960, 7, 7]> grad_output = ?,
Tensor<[1, 960, 7, 7]> 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, 1280, 1, 1]> self = ?,
List[int] size = [1, 1280]		 Done Done 1 -1
2 Tensor<[1, 1280]> self = ?,
List[int] size = [1, 1280, 1, 1]		 Done Done 1 -1

aten.zeros.default

ATen Input Variations Status Isolated PCC Host
0 List[int] size = [15680],
Optional[int] dtype = torch.bfloat16		 Done Unknown N/A N/A
1 List[int] size = [200704],
Optional[int] dtype = torch.bfloat16		 Done Unknown N/A N/A
2 List[int] size = [21952],
Optional[int] dtype = torch.bfloat16		 Done Unknown N/A N/A
3 List[int] size = [31360],
Optional[int] dtype = torch.bfloat16		 Done Unknown N/A N/A
4 List[int] size = [75264],
Optional[int] dtype = torch.bfloat16		 Done Unknown N/A N/A
5 List[int] size = [7840],
Optional[int] dtype = torch.bfloat16		 Done Unknown N/A N/A