Skip to content

Latest commit

 

History

History
643 lines (642 loc) · 90.6 KB

input_variations.md

File metadata and controls

643 lines (642 loc) · 90.6 KB

High Level Operations Status

Operations Input Variations Converted Removed Fallback Completed Score
0 aten._native_batch_norm_legit_functional.default 1 0 0 0 ✘ 0
1 aten._softmax.default 4 4 0 0 ✅ 1
2 aten._softmax_backward_data.default 4 0 0 0 ✘ 0
3 aten._to_copy.default 11 10 0 0 🚧 0.91
4 aten._unsafe_index.Tensor 16 0 0 0 ✘ 0
5 aten._unsafe_index_put.default 4 0 0 0 ✘ 0
6 aten._unsafe_view.default 5 5 0 0 ✅ 1
7 aten.add.Tensor 26 25 0 0 🚧 0.96
8 aten.addmm.default 15 15 0 0 ✅ 1
9 aten.bmm.default 15 15 0 0 ✅ 1
10 aten.cat.default 1 1 0 0 ✅ 1
11 aten.clone.default 23 23 0 0 ✅ 1
12 aten.convolution.default 13 13 0 0 ✅ 1
13 aten.convolution_backward.default 13 0 0 0 ✘ 0
14 aten.detach.default 5 0 5 0 ✅ 1
15 aten.div.Tensor 11 11 0 0 ✅ 1
16 aten.expand.default 15 0 15 0 ✅ 1
17 aten.gelu.default 4 4 0 0 ✅ 1
18 aten.gelu_backward.default 4 0 0 0 ✘ 0
19 aten.mm.default 35 35 0 0 ✅ 1
20 aten.mul.Tensor 7 7 0 0 ✅ 1
21 aten.native_batch_norm_backward.default 1 0 0 0 ✘ 0
22 aten.native_layer_norm.default 7 7 0 0 ✅ 1
23 aten.native_layer_norm_backward.default 7 0 0 0 ✘ 0
24 aten.new_zeros.default 4 0 4 0 ✅ 1
25 aten.permute.default 41 41 0 0 ✅ 1
26 aten.rand.default 1 0 0 0 ✘ 0
27 aten.relu.default 1 1 0 0 ✅ 1
28 aten.rsub.Scalar 1 1 0 0 ✅ 1
29 aten.slice.Tensor 4 4 0 0 ✅ 1
30 aten.sum.dim_IntList 15 0 0 0 ✘ 0
31 aten.t.default 26 26 0 0 ✅ 1
32 aten.threshold_backward.default 1 0 0 0 ✘ 0
33 aten.transpose.int 37 37 0 0 ✅ 1
34 aten.view.default 112 112 0 0 ✅ 1
35 aten.zeros.default 4 4 0 0 ✅ 1

aten._native_batch_norm_legit_functional.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 256, 128, 128]> input = ?,
Optional[Tensor]<[256]> weight = ?,
Optional[Tensor]<[256]> bias = ?,
Tensor<[256]> running_mean = ?,
Tensor<[256]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 1e-05		 None Fallback 1 0

aten._softmax.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1, 16384, 256]> self = ?,
int dim = -1,
bool half_to_float = False		 Done Done 0.999591 0
1 Tensor<[1, 2, 4096, 256]> self = ?,
int dim = -1,
bool half_to_float = False		 Done Done 0.999598 0
2 Tensor<[1, 5, 1024, 256]> self = ?,
int dim = -1,
bool half_to_float = False		 Done Done 0.999593 0
3 Tensor<[1, 8, 256, 256]> self = ?,
int dim = -1,
bool half_to_float = False		 Done Done 0.999598 0

aten._softmax_backward_data.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1, 16384, 256]> grad_output = ?,
Tensor<[1, 1, 16384, 256]> output = ?,
int dim = -1,
int input_dtype = torch.bfloat16		 None Fallback 1 -1
1 Tensor<[1, 2, 4096, 256]> grad_output = ?,
Tensor<[1, 2, 4096, 256]> output = ?,
int dim = -1,
int input_dtype = torch.bfloat16		 None Fallback 1 -1
2 Tensor<[1, 5, 1024, 256]> grad_output = ?,
Tensor<[1, 5, 1024, 256]> output = ?,
int dim = -1,
int input_dtype = torch.bfloat16		 None Fallback 1 -1
3 Tensor<[1, 8, 256, 256]> grad_output = ?,
Tensor<[1, 8, 256, 256]> output = ?,
int dim = -1,
int input_dtype = torch.bfloat16		 None Fallback 1 -1

aten._to_copy.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 256, 128, 128]> self = ?,
Optional[int] dtype = torch.bfloat16		 Done Fallback 1 -1
1 Tensor<[1, 256, 128, 128]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided,
Optional[Device] device = cpu		 Done Fallback 1 -1
2 Tensor<[1, 256, 128, 128]> self = ?,
Optional[int] dtype = torch.float32		 Done Fallback 1 -1
3 Tensor<[1, 256, 128, 128]> self = ?,
Optional[int] dtype = torch.float32,
Optional[int] layout = torch.strided,
Optional[Device] device = cpu		 Done Fallback 1 -1
4 Tensor<[1, 256, 16, 16]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided,
Optional[Device] device = cpu		 Done Fallback 1 -1
5 Tensor<[1, 256, 16, 16]> self = ?,
Optional[int] dtype = torch.float32		 Done Fallback 1 -1
6 Tensor<[1, 256, 32, 32]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided,
Optional[Device] device = cpu		 Done Fallback 1 -1
7 Tensor<[1, 256, 32, 32]> self = ?,
Optional[int] dtype = torch.float32		 Done Fallback 1 -1
8 Tensor<[1, 256, 64, 64]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided,
Optional[Device] device = cpu		 Done Fallback 1 -1
9 Tensor<[1, 256, 64, 64]> self = ?,
Optional[int] dtype = torch.float32		 Done Fallback 1 -1
10 Tensor<[256]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1

aten._unsafe_index.Tensor

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 256, 128, 128]> self = ?,
List[Optional[Tensor]] indices = [None, None, _folded_unsqueeze_1, _folded__to_copy_3]		 None Unknown N/A N/A
1 Tensor<[1, 256, 128, 128]> self = ?,
List[Optional[Tensor]] indices = [None, None, _folded_unsqueeze_1, _folded__to_copy_4]		 None Unknown N/A N/A
2 Tensor<[1, 256, 128, 128]> self = ?,
List[Optional[Tensor]] indices = [None, None, _folded_unsqueeze_2, _folded__to_copy_3]		 None Unknown N/A N/A
3 Tensor<[1, 256, 128, 128]> self = ?,
List[Optional[Tensor]] indices = [None, None, _folded_unsqueeze_2, _folded__to_copy_4]		 None Unknown N/A N/A
4 Tensor<[1, 256, 16, 16]> self = ?,
List[Optional[Tensor]] indices = [None, None, _folded_unsqueeze_10, _folded__to_copy_21]		 None Unknown N/A N/A
5 Tensor<[1, 256, 16, 16]> self = ?,
List[Optional[Tensor]] indices = [None, None, _folded_unsqueeze_10, _folded__to_copy_22]		 None Unknown N/A N/A
6 Tensor<[1, 256, 16, 16]> self = ?,
List[Optional[Tensor]] indices = [None, None, _folded_unsqueeze_11, _folded__to_copy_21]		 None Unknown N/A N/A
7 Tensor<[1, 256, 16, 16]> self = ?,
List[Optional[Tensor]] indices = [None, None, _folded_unsqueeze_11, _folded__to_copy_22]		 None Unknown N/A N/A
8 Tensor<[1, 256, 32, 32]> self = ?,
List[Optional[Tensor]] indices = [None, None, _folded_unsqueeze_7, _folded__to_copy_15]		 None Unknown N/A N/A
9 Tensor<[1, 256, 32, 32]> self = ?,
List[Optional[Tensor]] indices = [None, None, _folded_unsqueeze_7, _folded__to_copy_16]		 None Unknown N/A N/A
10 Tensor<[1, 256, 32, 32]> self = ?,
List[Optional[Tensor]] indices = [None, None, _folded_unsqueeze_8, _folded__to_copy_15]		 None Unknown N/A N/A
11 Tensor<[1, 256, 32, 32]> self = ?,
List[Optional[Tensor]] indices = [None, None, _folded_unsqueeze_8, _folded__to_copy_16]		 None Unknown N/A N/A
12 Tensor<[1, 256, 64, 64]> self = ?,
List[Optional[Tensor]] indices = [None, None, _folded_unsqueeze_4, _folded__to_copy_10]		 None Unknown N/A N/A
13 Tensor<[1, 256, 64, 64]> self = ?,
List[Optional[Tensor]] indices = [None, None, _folded_unsqueeze_4, _folded__to_copy_9]		 None Unknown N/A N/A
14 Tensor<[1, 256, 64, 64]> self = ?,
List[Optional[Tensor]] indices = [None, None, _folded_unsqueeze_5, _folded__to_copy_10]		 None Unknown N/A N/A
15 Tensor<[1, 256, 64, 64]> self = ?,
List[Optional[Tensor]] indices = [None, None, _folded_unsqueeze_5, _folded__to_copy_9]		 None Unknown N/A N/A

aten._unsafe_index_put.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 256, 128, 128]> self = ?,
List[Optional[Tensor]] indices = [None, None, <[128, 1]>, <[128]>],
Tensor<[1, 256, 128, 128]> values = ?,
bool accumulate = True		 None Unknown N/A N/A
1 Tensor<[1, 256, 16, 16]> self = ?,
List[Optional[Tensor]] indices = [None, None, <[128, 1]>, <[128]>],
Tensor<[1, 256, 128, 128]> values = ?,
bool accumulate = True		 None Unknown N/A N/A
2 Tensor<[1, 256, 32, 32]> self = ?,
List[Optional[Tensor]] indices = [None, None, <[128, 1]>, <[128]>],
Tensor<[1, 256, 128, 128]> values = ?,
bool accumulate = True		 None Unknown N/A N/A
3 Tensor<[1, 256, 64, 64]> self = ?,
List[Optional[Tensor]] indices = [None, None, <[128, 1]>, <[128]>],
Tensor<[1, 256, 128, 128]> values = ?,
bool accumulate = True		 None Unknown N/A N/A

aten._unsafe_view.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1024, 5, 32]> self = ?,
List[int] size = [1, 1024, 160]		 Done Done 1 -1
1 Tensor<[1, 256, 2, 32]> self = ?,
List[int] size = [1, 256, 64]		 Done Done 1 -1
2 Tensor<[1, 256, 5, 32]> self = ?,
List[int] size = [1, 256, 160]		 Done Done 1 -1
3 Tensor<[1, 256, 8, 32]> self = ?,
List[int] size = [1, 256, 256]		 Done Done 1 -1
4 Tensor<[1, 4096, 2, 32]> self = ?,
List[int] size = [1, 4096, 64]		 Done Done 1 -1

aten.add.Tensor

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1, 1]> self = ?,
Tensor other = 0.8999999985098839		 Done Done 1 0
1 Tensor<[1, 1, 1]> self = ?,
Tensor other = 0.9142857119441032		 Done Done 1 0
2 Tensor<[1, 1, 1]> self = ?,
Tensor other = 0.9285714253783226		 Done Done 1 0
3 Tensor<[1, 1, 1]> self = ?,
Tensor other = 0.9428571425378323		 Done Done 1 0
4 Tensor<[1, 1, 1]> self = ?,
Tensor other = 0.9571428559720516		 Done Done 1 0
5 Tensor<[1, 1, 1]> self = ?,
Tensor other = 0.9714285712689161		 Done Done 1 0
6 Tensor<[1, 1, 1]> self = ?,
Tensor other = 0.9857142856344581		 Done Done 1 0
7 Tensor<[1, 1024, 160]> self = ?,
Tensor<[1, 1024, 160]> other = ?		 Done Done 0.999998 0
8 Tensor<[1, 1024, 256]> self = ?,
Tensor<[256]> other = ?		 Done Done 0.999998 0
9 Tensor<[1, 160, 32, 32]> self = ?,
Tensor<[1, 160, 32, 32]> other = ?		 Done Done 0.999998 0
10 Tensor<[1, 16384, 256]> self = ?,
Tensor<[256]> other = ?		 Done Done 0.999998 0
11 Tensor<[1, 16384, 32]> self = ?,
Tensor<[1, 16384, 32]> other = ?		 Done Done 0.999998 0
12 Tensor<[1, 256, 128, 128]> self = ?,
Tensor<[1, 256, 128, 128]> other = ?		 Done Done 0.999998 0
13 Tensor<[1, 256, 16, 16]> self = ?,
Tensor<[1, 256, 16, 16]> other = ?		 Done Done 0.999998 0
14 Tensor<[1, 256, 160]> self = ?,
Tensor<[1, 256, 160]> other = ?		 Done Done 0.999998 0
15 Tensor<[1, 256, 256]> self = ?,
Tensor<[1, 256, 256]> other = ?		 Done Done 0.999998 0
16 Tensor<[1, 256, 256]> self = ?,
Tensor<[256]> other = ?		 Done Done 0.999998 0
17 Tensor<[1, 256, 32, 32]> self = ?,
Tensor<[1, 256, 32, 32]> other = ?		 Done Done 0.999998 0
18 Tensor<[1, 256, 32]> self = ?,
Tensor<[1, 256, 32]> other = ?		 Done Done 0.999998 0
19 Tensor<[1, 256, 64, 64]> self = ?,
Tensor<[1, 256, 64, 64]> other = ?		 Done Done 0.999998 0
20 Tensor<[1, 256, 64]> self = ?,
Tensor<[1, 256, 64]> other = ?		 Done Done 0.999998 0
21 Tensor<[1, 32, 128, 128]> self = ?,
Tensor<[1, 32, 128, 128]> other = ?		 Done Done 0.999998 0
22 Tensor<[1, 4096, 256]> self = ?,
Tensor<[256]> other = ?		 Done Done 0.999998 0
23 Tensor<[1, 4096, 64]> self = ?,
Tensor<[1, 4096, 64]> other = ?		 Done Done 0.999998 0
24 Tensor<[1, 64, 64, 64]> self = ?,
Tensor<[1, 64, 64, 64]> other = ?		 Done Done 0.999998 0
25 Tensor<[]> self = ?,
Tensor other = 1		 None Fallback 1 -1

aten.addmm.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1024]> self = ?,
Tensor<[256, 256]> mat1 = ?,
Tensor<[256, 1024]> mat2 = ?		 Done Done 0.999974 0
1 Tensor<[128]> self = ?,
Tensor<[16384, 32]> mat1 = ?,
Tensor<[32, 128]> mat2 = ?		 Done Done 0.999988 0
2 Tensor<[160]> self = ?,
Tensor<[1024, 160]> mat1 = ?,
Tensor<[160, 160]> mat2 = ?		 Done Done 0.999981 0
3 Tensor<[160]> self = ?,
Tensor<[1024, 640]> mat1 = ?,
Tensor<[640, 160]> mat2 = ?		 Done Done 0.999969 0
4 Tensor<[160]> self = ?,
Tensor<[256, 160]> mat1 = ?,
Tensor<[160, 160]> mat2 = ?		 Done Done 0.999981 0
5 Tensor<[256]> self = ?,
Tensor<[256, 1024]> mat1 = ?,
Tensor<[1024, 256]> mat2 = ?		 Done Done 0.999954 0
6 Tensor<[256]> self = ?,
Tensor<[256, 256]> mat1 = ?,
Tensor<[256, 256]> mat2 = ?		 Done Done 0.999978 0
7 Tensor<[256]> self = ?,
Tensor<[4096, 64]> mat1 = ?,
Tensor<[64, 256]> mat2 = ?		 Done Done 0.999985 0
8 Tensor<[32]> self = ?,
Tensor<[16384, 128]> mat1 = ?,
Tensor<[128, 32]> mat2 = ?		 Done Done 0.999979 0
9 Tensor<[32]> self = ?,
Tensor<[16384, 32]> mat1 = ?,
Tensor<[32, 32]> mat2 = ?		 Done Done 0.999988 0
10 Tensor<[32]> self = ?,
Tensor<[256, 32]> mat1 = ?,
Tensor<[32, 32]> mat2 = ?		 Done Done 0.999988 0
11 Tensor<[640]> self = ?,
Tensor<[1024, 160]> mat1 = ?,
Tensor<[160, 640]> mat2 = ?		 Done Done 0.999981 0
12 Tensor<[64]> self = ?,
Tensor<[256, 64]> mat1 = ?,
Tensor<[64, 64]> mat2 = ?		 Done Done 0.999985 0
13 Tensor<[64]> self = ?,
Tensor<[4096, 256]> mat1 = ?,
Tensor<[256, 64]> mat2 = ?		 Done Done 0.999974 0
14 Tensor<[64]> self = ?,
Tensor<[4096, 64]> mat1 = ?,
Tensor<[64, 64]> mat2 = ?		 Done Done 0.999985 0

aten.bmm.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 16384, 256]> self = ?,
Tensor<[1, 256, 32]> mat2 = ?		 Done Done 0.999975 0
1 Tensor<[1, 16384, 32]> self = ?,
Tensor<[1, 32, 256]> mat2 = ?		 Done Done 0.999989 0
2 Tensor<[1, 256, 16384]> self = ?,
Tensor<[1, 16384, 32]> mat2 = ?		 Done Done 0.999802 0
3 Tensor<[1, 32, 16384]> self = ?,
Tensor<[1, 16384, 256]> mat2 = ?		 Done Done 0.999804 0
4 Tensor<[2, 256, 4096]> self = ?,
Tensor<[2, 4096, 32]> mat2 = ?		 Done Done 0.999934 0
5 Tensor<[2, 32, 4096]> self = ?,
Tensor<[2, 4096, 256]> mat2 = ?		 Done Done 0.999934 0
6 Tensor<[2, 4096, 256]> self = ?,
Tensor<[2, 256, 32]> mat2 = ?		 Done Done 0.999975 0
7 Tensor<[2, 4096, 32]> self = ?,
Tensor<[2, 32, 256]> mat2 = ?		 Done Done 0.999989 0
8 Tensor<[5, 1024, 256]> self = ?,
Tensor<[5, 256, 32]> mat2 = ?		 Done Done 0.999975 0
9 Tensor<[5, 1024, 32]> self = ?,
Tensor<[5, 32, 256]> mat2 = ?		 Done Done 0.999989 0
10 Tensor<[5, 256, 1024]> self = ?,
Tensor<[5, 1024, 32]> mat2 = ?		 Done Done 0.999965 0
11 Tensor<[5, 32, 1024]> self = ?,
Tensor<[5, 1024, 256]> mat2 = ?		 Done Done 0.999966 0
12 Tensor<[8, 256, 256]> self = ?,
Tensor<[8, 256, 32]> mat2 = ?		 Done Done 0.999976 0
13 Tensor<[8, 256, 32]> self = ?,
Tensor<[8, 32, 256]> mat2 = ?		 Done Done 0.99999 0
14 Tensor<[8, 32, 256]> self = ?,
Tensor<[8, 256, 256]> mat2 = ?		 Done Done 0.999975 0

aten.cat.default

ATen Input Variations Status Isolated PCC Host
0 List[Tensor] tensors = [<[1, 256, 128, 128]>, <[1, 256, 128, 128]>, <[1, 256, 128, 128]>, <[1, 256, 128, 128]>],
int dim = 1		 Done Done 1 0

aten.clone.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1, 16384, 256]> self = ? Done Done 1 0
1 Tensor<[1, 1024, 160]> self = ? Done Done 1 0
2 Tensor<[1, 1024, 5, 32]> self = ?,
Optional[int] memory_format = torch.contiguous_format		 Done Done 1 0
3 Tensor<[1, 1024, 640]> self = ? Done Done 1 0
4 Tensor<[1, 160, 32, 32]> self = ?,
Optional[int] memory_format = torch.contiguous_format		 Done Done 1 0
5 Tensor<[1, 16384, 128]> self = ? Done Done 1 0
6 Tensor<[1, 16384, 32]> self = ? Done Done 1 0
7 Tensor<[1, 2, 4096, 256]> self = ? Done Done 1 0
8 Tensor<[1, 256, 1024]> self = ? Done Done 1 0
9 Tensor<[1, 256, 128, 128]> self = ? Done Done 1 0
10 Tensor<[1, 256, 128, 128]> self = ?,
Optional[int] memory_format = torch.channels_last		 Done Done 1 0
11 Tensor<[1, 256, 16, 16]> self = ?,
Optional[int] memory_format = torch.contiguous_format		 Done Done 1 0
12 Tensor<[1, 256, 2, 32]> self = ?,
Optional[int] memory_format = torch.contiguous_format		 Done Done 1 0
13 Tensor<[1, 256, 256]> self = ? Done Done 1 0
14 Tensor<[1, 256, 5, 32]> self = ?,
Optional[int] memory_format = torch.contiguous_format		 Done Done 1 0
15 Tensor<[1, 256, 8, 32]> self = ?,
Optional[int] memory_format = torch.contiguous_format		 Done Done 1 0
16 Tensor<[1, 32, 128, 128]> self = ?,
Optional[int] memory_format = torch.contiguous_format		 Done Done 1 0
17 Tensor<[1, 4096, 2, 32]> self = ?,
Optional[int] memory_format = torch.contiguous_format		 Done Done 1 0
18 Tensor<[1, 4096, 256]> self = ? Done Done 1 0
19 Tensor<[1, 4096, 64]> self = ? Done Done 1 0
20 Tensor<[1, 5, 1024, 256]> self = ? Done Done 1 0
21 Tensor<[1, 64, 64, 64]> self = ?,
Optional[int] memory_format = torch.contiguous_format		 Done Done 1 0
22 Tensor<[1, 8, 256, 256]> self = ? Done Done 1 0

aten.convolution.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1024, 128, 128]> input = ?,
Tensor<[256, 1024, 1, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999966 4
1 Tensor<[1, 1024, 16, 16]> input = ?,
Tensor<[1024, 1, 3, 3]> weight = ?,
Optional[Tensor]<[1024]> 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 = 1024		 Done Done 0.999984 6
2 Tensor<[1, 128, 128, 128]> input = ?,
Tensor<[128, 1, 3, 3]> weight = ?,
Optional[Tensor]<[128]> bias = ?,
List[int] stride = [1, 1],
List[int] padding = [1, 1],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 128		 Done Done 0.999983 6
3 Tensor<[1, 160, 32, 32]> input = ?,
Tensor<[160, 160, 2, 2]> weight = ?,
Optional[Tensor]<[160]> bias = ?,
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999908 6
4 Tensor<[1, 160, 32, 32]> input = ?,
Tensor<[256, 160, 3, 3]> weight = ?,
Optional[Tensor]<[256]> 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 0.999759 6
5 Tensor<[1, 256, 128, 128]> input = ?,
Tensor<[150, 256, 1, 1]> weight = ?,
Optional[Tensor]<[150]> bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999974 6
6 Tensor<[1, 256, 64, 64]> input = ?,
Tensor<[256, 1, 3, 3]> weight = ?,
Optional[Tensor]<[256]> bias = ?,
List[int] stride = [1, 1],
List[int] padding = [1, 1],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 256		 Done Done 0.999983 6
7 Tensor<[1, 3, 512, 512]> input = ?,
Tensor<[32, 3, 7, 7]> weight = ?,
Optional[Tensor]<[32]> bias = ?,
List[int] stride = [4, 4],
List[int] padding = [3, 3],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999898 6
8 Tensor<[1, 32, 128, 128]> input = ?,
Tensor<[32, 32, 8, 8]> weight = ?,
Optional[Tensor]<[32]> bias = ?,
List[int] stride = [8, 8],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999606 6
9 Tensor<[1, 32, 128, 128]> input = ?,
Tensor<[64, 32, 3, 3]> weight = ?,
Optional[Tensor]<[64]> 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 0.99996 6
10 Tensor<[1, 64, 64, 64]> input = ?,
Tensor<[160, 64, 3, 3]> weight = ?,
Optional[Tensor]<[160]> 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 0.99992 6
11 Tensor<[1, 64, 64, 64]> input = ?,
Tensor<[64, 64, 4, 4]> weight = ?,
Optional[Tensor]<[64]> bias = ?,
List[int] stride = [4, 4],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999837 6
12 Tensor<[1, 640, 32, 32]> input = ?,
Tensor<[640, 1, 3, 3]> weight = ?,
Optional[Tensor]<[640]> 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 = 640		 Done Done 0.999984 6

aten.convolution_backward.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1024, 16, 16]> grad_output = ?,
Tensor<[1, 1024, 16, 16]> input = ?,
Tensor<[1024, 1, 3, 3]> weight = ?,
Optional[List[int]] bias_sizes = [1024],
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 = 1024,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
1 Tensor<[1, 128, 128, 128]> grad_output = ?,
Tensor<[1, 128, 128, 128]> input = ?,
Tensor<[128, 1, 3, 3]> weight = ?,
Optional[List[int]] bias_sizes = [128],
List[int] stride = [1, 1],
List[int] padding = [1, 1],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 128,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
2 Tensor<[1, 150, 128, 128]> grad_output = ?,
Tensor<[1, 256, 128, 128]> input = ?,
Tensor<[150, 256, 1, 1]> weight = ?,
Optional[List[int]] bias_sizes = [150],
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
3 Tensor<[1, 160, 16, 16]> grad_output = ?,
Tensor<[1, 160, 32, 32]> input = ?,
Tensor<[160, 160, 2, 2]> weight = ?,
Optional[List[int]] bias_sizes = [160],
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
4 Tensor<[1, 160, 32, 32]> grad_output = ?,
Tensor<[1, 64, 64, 64]> input = ?,
Tensor<[160, 64, 3, 3]> weight = ?,
Optional[List[int]] bias_sizes = [160],
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, True]		 None Fallback 1 0
5 Tensor<[1, 256, 128, 128]> grad_output = ?,
Tensor<[1, 1024, 128, 128]> input = ?,
Tensor<[256, 1024, 1, 1]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
6 Tensor<[1, 256, 16, 16]> grad_output = ?,
Tensor<[1, 160, 32, 32]> input = ?,
Tensor<[256, 160, 3, 3]> weight = ?,
Optional[List[int]] bias_sizes = [256],
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, True]		 None Fallback 1 0
7 Tensor<[1, 256, 64, 64]> grad_output = ?,
Tensor<[1, 256, 64, 64]> input = ?,
Tensor<[256, 1, 3, 3]> weight = ?,
Optional[List[int]] bias_sizes = [256],
List[int] stride = [1, 1],
List[int] padding = [1, 1],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 256,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
8 Tensor<[1, 32, 128, 128]> grad_output = ?,
Tensor<[1, 3, 512, 512]> input = ?,
Tensor<[32, 3, 7, 7]> weight = ?,
Optional[List[int]] bias_sizes = [32],
List[int] stride = [4, 4],
List[int] padding = [3, 3],
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, 32, 16, 16]> grad_output = ?,
Tensor<[1, 32, 128, 128]> input = ?,
Tensor<[32, 32, 8, 8]> weight = ?,
Optional[List[int]] bias_sizes = [32],
List[int] stride = [8, 8],
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
10 Tensor<[1, 64, 16, 16]> grad_output = ?,
Tensor<[1, 64, 64, 64]> input = ?,
Tensor<[64, 64, 4, 4]> weight = ?,
Optional[List[int]] bias_sizes = [64],
List[int] stride = [4, 4],
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
11 Tensor<[1, 64, 64, 64]> grad_output = ?,
Tensor<[1, 32, 128, 128]> input = ?,
Tensor<[64, 32, 3, 3]> weight = ?,
Optional[List[int]] bias_sizes = [64],
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, True]		 None Fallback 1 0
12 Tensor<[1, 640, 32, 32]> grad_output = ?,
Tensor<[1, 640, 32, 32]> input = ?,
Tensor<[640, 1, 3, 3]> weight = ?,
Optional[List[int]] bias_sizes = [640],
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 = 640,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0

aten.detach.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1, 16384, 256]> self = ? Removed Done 1 -1
1 Tensor<[1, 2, 4096, 256]> self = ? Removed Done 1 -1
2 Tensor<[1, 256, 128, 128]> self = ? Removed Done 1 -1
3 Tensor<[1, 5, 1024, 256]> self = ? Removed Done 1 -1
4 Tensor<[1, 8, 256, 256]> self = ? Removed Done 1 -1

aten.div.Tensor

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1, 16384, 256]> self = ?,
Tensor other = 5.656854249492381		 Done Done 0.999996 0
1 Tensor<[1, 1024, 160]> self = ?,
Tensor other = 0.9285714253783226		 Done Done 0.999996 0
2 Tensor<[1, 1024, 160]> self = ?,
Tensor other = 0.9428571425378323		 Done Done 0.999996 0
3 Tensor<[1, 16384, 32]> self = ?,
Tensor other = 0.9857142856344581		 Done Done 0.999998 0
4 Tensor<[1, 2, 4096, 256]> self = ?,
Tensor other = 5.656854249492381		 Done Done 0.999996 0
5 Tensor<[1, 256, 256]> self = ?,
Tensor other = 0.8999999985098839		 Done Done 0.999996 0
6 Tensor<[1, 256, 256]> self = ?,
Tensor other = 0.9142857119441032		 Done Done 0.999996 0
7 Tensor<[1, 4096, 64]> self = ?,
Tensor other = 0.9571428559720516		 Done Done 0.999997 0
8 Tensor<[1, 4096, 64]> self = ?,
Tensor other = 0.9714285712689161		 Done Done 0.999997 0
9 Tensor<[1, 5, 1024, 256]> self = ?,
Tensor other = 5.656854249492381		 Done Done 0.999996 0
10 Tensor<[1, 8, 256, 256]> self = ?,
Tensor other = 5.656854249492381		 Done Done 0.999996 0

aten.expand.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1, 16384, 256]> self = ?,
List[int] size = [1, 1, 16384, 256]		 Removed Done 1 -1
1 Tensor<[1, 1, 16384, 32]> self = ?,
List[int] size = [1, 1, 16384, 32]		 Removed Done 1 -1
2 Tensor<[1, 1, 256, 32]> self = ?,
List[int] size = [1, 1, 256, 32]		 Removed Done 1 -1
3 Tensor<[1, 1, 32, 256]> self = ?,
List[int] size = [1, 1, 32, 256]		 Removed Done 1 -1
4 Tensor<[1, 2, 256, 32]> self = ?,
List[int] size = [1, 2, 256, 32]		 Removed Done 1 -1
5 Tensor<[1, 2, 32, 256]> self = ?,
List[int] size = [1, 2, 32, 256]		 Removed Done 1 -1
6 Tensor<[1, 2, 4096, 256]> self = ?,
List[int] size = [1, 2, 4096, 256]		 Removed Done 1 -1
7 Tensor<[1, 2, 4096, 32]> self = ?,
List[int] size = [1, 2, 4096, 32]		 Removed Done 1 -1
8 Tensor<[1, 5, 1024, 256]> self = ?,
List[int] size = [1, 5, 1024, 256]		 Removed Done 1 -1
9 Tensor<[1, 5, 1024, 32]> self = ?,
List[int] size = [1, 5, 1024, 32]		 Removed Done 1 -1
10 Tensor<[1, 5, 256, 32]> self = ?,
List[int] size = [1, 5, 256, 32]		 Removed Done 1 -1
11 Tensor<[1, 5, 32, 256]> self = ?,
List[int] size = [1, 5, 32, 256]		 Removed Done 1 -1
12 Tensor<[1, 8, 256, 256]> self = ?,
List[int] size = [1, 8, 256, 256]		 Removed Done 1 -1
13 Tensor<[1, 8, 256, 32]> self = ?,
List[int] size = [1, 8, 256, 32]		 Removed Done 1 -1
14 Tensor<[1, 8, 32, 256]> self = ?,
List[int] size = [1, 8, 32, 256]		 Removed Done 1 -1

aten.gelu.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1024, 640]> self = ? Done Done 0.999991 0
1 Tensor<[1, 16384, 128]> self = ? Done Done 0.999991 0
2 Tensor<[1, 256, 1024]> self = ? Done Done 0.999991 0
3 Tensor<[1, 4096, 256]> self = ? Done Done 0.999991 0

aten.gelu_backward.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1024, 640]> grad_output = ?,
Tensor<[1, 1024, 640]> self = ?		 None Fallback 1 -1
1 Tensor<[1, 16384, 128]> grad_output = ?,
Tensor<[1, 16384, 128]> self = ?		 None Fallback 1 -1
2 Tensor<[1, 256, 1024]> grad_output = ?,
Tensor<[1, 256, 1024]> self = ?		 None Fallback 1 -1
3 Tensor<[1, 4096, 256]> grad_output = ?,
Tensor<[1, 4096, 256]> self = ?		 None Fallback 1 -1

aten.mm.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1024, 160]> self = ?,
Tensor<[160, 160]> mat2 = ?		 Done Done 0.999982 0
1 Tensor<[1024, 160]> self = ?,
Tensor<[160, 256]> mat2 = ?		 Done Done 0.999982 0
2 Tensor<[1024, 160]> self = ?,
Tensor<[160, 640]> mat2 = ?		 Done Done 0.999982 0
3 Tensor<[1024, 256]> self = ?,
Tensor<[256, 256]> mat2 = ?		 Done Done 0.999976 0
4 Tensor<[1024, 640]> self = ?,
Tensor<[640, 160]> mat2 = ?		 Done Done 0.99997 0
5 Tensor<[128, 16384]> self = ?,
Tensor<[16384, 32]> mat2 = ?		 Done Done 0.999798 0
6 Tensor<[160, 1024]> self = ?,
Tensor<[1024, 160]> mat2 = ?		 Done Done 0.999955 0
7 Tensor<[160, 1024]> self = ?,
Tensor<[1024, 640]> mat2 = ?		 Done Done 0.999965 0
8 Tensor<[160, 256]> self = ?,
Tensor<[256, 1024]> mat2 = ?		 Done Done 0.999975 0
9 Tensor<[160, 256]> self = ?,
Tensor<[256, 160]> mat2 = ?		 Done Done 0.999979 0
10 Tensor<[16384, 128]> self = ?,
Tensor<[128, 32]> mat2 = ?		 Done Done 0.99998 0
11 Tensor<[16384, 32]> self = ?,
Tensor<[32, 128]> mat2 = ?		 Done Done 0.999989 0
12 Tensor<[16384, 32]> self = ?,
Tensor<[32, 256]> mat2 = ?		 Done Done 0.99999 0
13 Tensor<[16384, 32]> self = ?,
Tensor<[32, 32]> mat2 = ?		 Done Done 0.99999 0
14 Tensor<[256, 1024]> self = ?,
Tensor<[1024, 160]> mat2 = ?		 Done Done 0.999955 0
15 Tensor<[256, 1024]> self = ?,
Tensor<[1024, 256]> mat2 = ?		 Done Done 0.999956 0
16 Tensor<[256, 160]> self = ?,
Tensor<[160, 160]> mat2 = ?		 Done Done 0.999982 0
17 Tensor<[256, 16384]> self = ?,
Tensor<[16384, 32]> mat2 = ?		 Done Done 0.999798 0
18 Tensor<[256, 256]> self = ?,
Tensor<[256, 1024]> mat2 = ?		 Done Done 0.999975 0
19 Tensor<[256, 256]> self = ?,
Tensor<[256, 256]> mat2 = ?		 Done Done 0.999979 0
20 Tensor<[256, 32]> self = ?,
Tensor<[32, 32]> mat2 = ?		 Done Done 0.999989 0
21 Tensor<[256, 4096]> self = ?,
Tensor<[4096, 64]> mat2 = ?		 Done Done 0.999846 0
22 Tensor<[256, 64]> self = ?,
Tensor<[64, 64]> mat2 = ?		 Done Done 0.999987 0
23 Tensor<[32, 16384]> self = ?,
Tensor<[16384, 128]> mat2 = ?		 Done Done 0.999797 0
24 Tensor<[32, 16384]> self = ?,
Tensor<[16384, 32]> mat2 = ?		 Done Done 0.999808 0
25 Tensor<[32, 256]> self = ?,
Tensor<[256, 16384]> mat2 = ?		 Done Done 0.999975 0
26 Tensor<[32, 256]> self = ?,
Tensor<[256, 32]> mat2 = ?		 Done Done 0.999977 0
27 Tensor<[4096, 256]> self = ?,
Tensor<[256, 64]> mat2 = ?		 Done Done 0.999975 0
28 Tensor<[4096, 64]> self = ?,
Tensor<[64, 256]> mat2 = ?		 Done Done 0.999986 0
29 Tensor<[4096, 64]> self = ?,
Tensor<[64, 64]> mat2 = ?		 Done Done 0.999986 0
30 Tensor<[64, 256]> self = ?,
Tensor<[256, 4096]> mat2 = ?		 Done Done 0.999975 0
31 Tensor<[64, 256]> self = ?,
Tensor<[256, 64]> mat2 = ?		 Done Done 0.999979 0
32 Tensor<[64, 4096]> self = ?,
Tensor<[4096, 256]> mat2 = ?		 Done Done 0.999843 0
33 Tensor<[64, 4096]> self = ?,
Tensor<[4096, 64]> mat2 = ?		 Done Done 0.99985 0
34 Tensor<[640, 1024]> self = ?,
Tensor<[1024, 160]> mat2 = ?		 Done Done 0.999966 0

aten.mul.Tensor

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1024, 160]> self = ?,
Tensor<[1, 1, 1]> other = ?		 Done Done 0.9999971774454509 0
1 Tensor<[1, 16384, 32]> self = ?,
Tensor<[1, 1, 1]> other = ?		 Done Done 0.9999956613153808 0
2 Tensor<[1, 256, 128, 128]> self = ?,
Tensor other = ?		 Done Unknown N/A N/A
3 Tensor<[1, 256, 128, 128]> self = ?,
Tensor<[128, 1]> other = ?		 Done Done 0.9999961273144684 0
4 Tensor<[1, 256, 128, 128]> self = ?,
Tensor<[128]> other = ?		 Done Done 0.9999956095481682 0
5 Tensor<[1, 256, 256]> self = ?,
Tensor<[1, 1, 1]> other = ?		 Done Done 0.9999953252184752 0
6 Tensor<[1, 4096, 64]> self = ?,
Tensor<[1, 1, 1]> other = ?		 Done Done 0.9999967912626937 0

aten.native_batch_norm_backward.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 256, 128, 128]> grad_out = ?,
Tensor<[1, 256, 128, 128]> input = ?,
Optional[Tensor]<[256]> weight = ?,
Optional[Tensor]<[256]> running_mean = ?,
Optional[Tensor]<[256]> running_var = ?,
Optional[Tensor]<[256]> save_mean = ?,
Optional[Tensor]<[256]> save_invstd = ?,
bool train = True,
float eps = 1e-05,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0

aten.native_layer_norm.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1024, 160]> input = ?,
List[int] normalized_shape = [160],
Optional[Tensor]<[160]> weight = ?,
Optional[Tensor]<[160]> bias = ?,
float eps = 1e-05		 Done Done N/A 1
1 Tensor<[1, 16384, 32]> input = ?,
List[int] normalized_shape = [32],
Optional[Tensor]<[32]> weight = ?,
Optional[Tensor]<[32]> bias = ?,
float eps = 1e-05		 Done Done N/A 1
2 Tensor<[1, 256, 160]> input = ?,
List[int] normalized_shape = [160],
Optional[Tensor]<[160]> weight = ?,
Optional[Tensor]<[160]> bias = ?,
float eps = 1e-05		 Done Done N/A 1
3 Tensor<[1, 256, 256]> input = ?,
List[int] normalized_shape = [256],
Optional[Tensor]<[256]> weight = ?,
Optional[Tensor]<[256]> bias = ?,
float eps = 1e-05		 Done Done N/A 1
4 Tensor<[1, 256, 32]> input = ?,
List[int] normalized_shape = [32],
Optional[Tensor]<[32]> weight = ?,
Optional[Tensor]<[32]> bias = ?,
float eps = 1e-05		 Done Done N/A 1
5 Tensor<[1, 256, 64]> input = ?,
List[int] normalized_shape = [64],
Optional[Tensor]<[64]> weight = ?,
Optional[Tensor]<[64]> bias = ?,
float eps = 1e-05		 Done Done N/A 1
6 Tensor<[1, 4096, 64]> input = ?,
List[int] normalized_shape = [64],
Optional[Tensor]<[64]> weight = ?,
Optional[Tensor]<[64]> bias = ?,
float eps = 1e-05		 Done Done N/A 1

aten.native_layer_norm_backward.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1024, 160]> grad_out = ?,
Tensor<[1, 1024, 160]> input = ?,
List[int] normalized_shape = [160],
Tensor<[1, 1024, 1]> mean = ?,
Tensor<[1, 1024, 1]> rstd = ?,
Optional[Tensor]<[160]> weight = ?,
Optional[Tensor]<[160]> bias = ?,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
1 Tensor<[1, 16384, 32]> grad_out = ?,
Tensor<[1, 16384, 32]> input = ?,
List[int] normalized_shape = [32],
Tensor<[1, 16384, 1]> mean = ?,
Tensor<[1, 16384, 1]> rstd = ?,
Optional[Tensor]<[32]> weight = ?,
Optional[Tensor]<[32]> bias = ?,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
2 Tensor<[1, 256, 160]> grad_out = ?,
Tensor<[1, 256, 160]> input = ?,
List[int] normalized_shape = [160],
Tensor<[1, 256, 1]> mean = ?,
Tensor<[1, 256, 1]> rstd = ?,
Optional[Tensor]<[160]> weight = ?,
Optional[Tensor]<[160]> bias = ?,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
3 Tensor<[1, 256, 256]> grad_out = ?,
Tensor<[1, 256, 256]> input = ?,
List[int] normalized_shape = [256],
Tensor<[1, 256, 1]> mean = ?,
Tensor<[1, 256, 1]> rstd = ?,
Optional[Tensor]<[256]> weight = ?,
Optional[Tensor]<[256]> bias = ?,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
4 Tensor<[1, 256, 32]> grad_out = ?,
Tensor<[1, 256, 32]> input = ?,
List[int] normalized_shape = [32],
Tensor<[1, 256, 1]> mean = ?,
Tensor<[1, 256, 1]> rstd = ?,
Optional[Tensor]<[32]> weight = ?,
Optional[Tensor]<[32]> bias = ?,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
5 Tensor<[1, 256, 64]> grad_out = ?,
Tensor<[1, 256, 64]> input = ?,
List[int] normalized_shape = [64],
Tensor<[1, 256, 1]> mean = ?,
Tensor<[1, 256, 1]> rstd = ?,
Optional[Tensor]<[64]> weight = ?,
Optional[Tensor]<[64]> bias = ?,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
6 Tensor<[1, 4096, 64]> grad_out = ?,
Tensor<[1, 4096, 64]> input = ?,
List[int] normalized_shape = [64],
Tensor<[1, 4096, 1]> mean = ?,
Tensor<[1, 4096, 1]> rstd = ?,
Optional[Tensor]<[64]> weight = ?,
Optional[Tensor]<[64]> bias = ?,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0

aten.new_zeros.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 256, 128, 128]> self = ?,
List[int] size = [1, 256, 128, 128],
Optional[int] dtype = torch.float32,
Optional[int] layout = torch.strided,
Optional[Device] device = cpu		 Removed Done 1 0
1 Tensor<[1, 256, 128, 128]> self = ?,
List[int] size = [1, 256, 16, 16],
Optional[int] dtype = torch.float32,
Optional[int] layout = torch.strided,
Optional[Device] device = cpu		 Removed Done 1 0
2 Tensor<[1, 256, 128, 128]> self = ?,
List[int] size = [1, 256, 32, 32],
Optional[int] dtype = torch.float32,
Optional[int] layout = torch.strided,
Optional[Device] device = cpu		 Removed Done 1 0
3 Tensor<[1, 256, 128, 128]> self = ?,
List[int] size = [1, 256, 64, 64],
Optional[int] dtype = torch.float32,
Optional[int] layout = torch.strided,
Optional[Device] device = cpu		 Removed Done 1 0

aten.permute.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1, 16384, 32]> self = ?,
List[int] dims = [0, 2, 1, 3]		 Done Done 1 0
1 Tensor<[1, 1, 256, 32]> self = ?,
List[int] dims = [0, 2, 1, 3]		 Done Done 1 0
2 Tensor<[1, 1024, 160]> self = ?,
List[int] dims = [0, 2, 1]		 Done Done 1 0
3 Tensor<[1, 1024, 256]> self = ?,
List[int] dims = [0, 2, 1]		 Done Done 1 0
4 Tensor<[1, 1024, 5, 32]> self = ?,
List[int] dims = [0, 2, 1, 3]		 Done Done 1 0
5 Tensor<[1, 128, 128, 32]> self = ?,
List[int] dims = [0, 3, 1, 2]		 Done Done 1 0
6 Tensor<[1, 16, 16, 256]> self = ?,
List[int] dims = [0, 3, 1, 2]		 Done Done 1 0
7 Tensor<[1, 160, 1024]> self = ?,
List[int] dims = [0, 2, 1]		 Done Done 1 0
8 Tensor<[1, 160, 256]> self = ?,
List[int] dims = [0, 2, 1]		 Done Done 1 0
9 Tensor<[1, 160, 32, 32]> self = ?,
List[int] dims = [0, 2, 3, 1]		 Done Done 1 0
10 Tensor<[1, 16384, 1, 32]> self = ?,
List[int] dims = [0, 2, 1, 3]		 Done Done 1 0
11 Tensor<[1, 16384, 256]> self = ?,
List[int] dims = [0, 2, 1]		 Done Done 1 0
12 Tensor<[1, 16384, 32]> self = ?,
List[int] dims = [0, 2, 1]		 Done Done 1 0
13 Tensor<[1, 2, 256, 32]> self = ?,
List[int] dims = [0, 2, 1, 3]		 Done Done 1 0
14 Tensor<[1, 2, 4096, 32]> self = ?,
List[int] dims = [0, 2, 1, 3]		 Done Done 1 0
15 Tensor<[1, 256, 1, 32]> self = ?,
List[int] dims = [0, 2, 1, 3]		 Done Done 1 0
16 Tensor<[1, 256, 1024]> self = ?,
List[int] dims = [0, 2, 1]		 Done Done 1 0
17 Tensor<[1, 256, 16, 16]> self = ?,
List[int] dims = [0, 2, 3, 1]		 Done Done 1 0
18 Tensor<[1, 256, 160]> self = ?,
List[int] dims = [0, 2, 1]		 Done Done 1 0
19 Tensor<[1, 256, 16384]> self = ?,
List[int] dims = [0, 2, 1]		 Done Done 1 0
20 Tensor<[1, 256, 2, 32]> self = ?,
List[int] dims = [0, 2, 1, 3]		 Done Done 1 0
21 Tensor<[1, 256, 256]> self = ?,
List[int] dims = [0, 2, 1]		 Done Done 1 0
22 Tensor<[1, 256, 32]> self = ?,
List[int] dims = [0, 2, 1]		 Done Done 1 0
23 Tensor<[1, 256, 4096]> self = ?,
List[int] dims = [0, 2, 1]		 Done Done 1 0
24 Tensor<[1, 256, 5, 32]> self = ?,
List[int] dims = [0, 2, 1, 3]		 Done Done 1 0
25 Tensor<[1, 256, 64]> self = ?,
List[int] dims = [0, 2, 1]		 Done Done 1 0
26 Tensor<[1, 256, 8, 32]> self = ?,
List[int] dims = [0, 2, 1, 3]		 Done Done 1 0
27 Tensor<[1, 32, 128, 128]> self = ?,
List[int] dims = [0, 2, 3, 1]		 Done Done 1 0
28 Tensor<[1, 32, 16384]> self = ?,
List[int] dims = [0, 2, 1]		 Done Done 1 0
29 Tensor<[1, 32, 256]> self = ?,
List[int] dims = [0, 2, 1]		 Done Done 1 0
30 Tensor<[1, 32, 32, 160]> self = ?,
List[int] dims = [0, 3, 1, 2]		 Done Done 1 0
31 Tensor<[1, 4096, 2, 32]> self = ?,
List[int] dims = [0, 2, 1, 3]		 Done Done 1 0
32 Tensor<[1, 4096, 256]> self = ?,
List[int] dims = [0, 2, 1]		 Done Done 1 0
33 Tensor<[1, 4096, 64]> self = ?,
List[int] dims = [0, 2, 1]		 Done Done 1 0
34 Tensor<[1, 5, 1024, 32]> self = ?,
List[int] dims = [0, 2, 1, 3]		 Done Done 1 0
35 Tensor<[1, 5, 256, 32]> self = ?,
List[int] dims = [0, 2, 1, 3]		 Done Done 1 0
36 Tensor<[1, 64, 256]> self = ?,
List[int] dims = [0, 2, 1]		 Done Done 1 0
37 Tensor<[1, 64, 4096]> self = ?,
List[int] dims = [0, 2, 1]		 Done Done 1 0
38 Tensor<[1, 64, 64, 64]> self = ?,
List[int] dims = [0, 2, 3, 1]		 Done Done 1 0
39 Tensor<[1, 64, 64, 64]> self = ?,
List[int] dims = [0, 3, 1, 2]		 Done Done 1 0
40 Tensor<[1, 8, 256, 32]> self = ?,
List[int] dims = [0, 2, 1, 3]		 Done Done 1 0

aten.rand.default

ATen Input Variations Status Isolated PCC Host
0 List[int] size = [1, 1, 1],
Optional[int] dtype = torch.bfloat16,
Optional[Device] device = cpu,
Optional[bool] pin_memory = False		 None Fallback 1 -1

aten.relu.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 256, 128, 128]> self = ? Done Done 1 0

aten.rsub.Scalar

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

aten.slice.Tensor

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1024, 128, 128]> self = ?,
int dim = 1,
Optional[int] start = 0,
Optional[int] end = 256		 Done Done 1 -1
1 Tensor<[1, 1024, 128, 128]> self = ?,
int dim = 1,
Optional[int] start = 256,
Optional[int] end = 512		 Done Done 1 -1
2 Tensor<[1, 1024, 128, 128]> self = ?,
int dim = 1,
Optional[int] start = 512,
Optional[int] end = 768		 Done Done 1 -1
3 Tensor<[1, 1024, 128, 128]> self = ?,
int dim = 1,
Optional[int] start = 768,
Optional[int] end = 1024		 Done Done 1 -1

aten.sum.dim_IntList

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1024, 256]> self = ?,
Optional[List[int]] dim = [0, 1],
bool keepdim = True		 None Fallback 1 -1
1 Tensor<[1, 16384, 256]> self = ?,
Optional[List[int]] dim = [0, 1],
bool keepdim = True		 None Fallback 1 -1
2 Tensor<[1, 256, 256]> self = ?,
Optional[List[int]] dim = [0, 1],
bool keepdim = True		 None Fallback 1 -1
3 Tensor<[1, 4096, 256]> self = ?,
Optional[List[int]] dim = [0, 1],
bool keepdim = True		 None Fallback 1 -1
4 Tensor<[1024, 160]> self = ?,
Optional[List[int]] dim = [0],
bool keepdim = True		 None Fallback 1 -1
5 Tensor<[1024, 640]> self = ?,
Optional[List[int]] dim = [0],
bool keepdim = True		 None Fallback 1 -1
6 Tensor<[16384, 128]> self = ?,
Optional[List[int]] dim = [0],
bool keepdim = True		 None Fallback 1 -1
7 Tensor<[16384, 32]> self = ?,
Optional[List[int]] dim = [0],
bool keepdim = True		 None Fallback 1 -1
8 Tensor<[256, 1024]> self = ?,
Optional[List[int]] dim = [0],
bool keepdim = True		 None Fallback 1 -1
9 Tensor<[256, 160]> self = ?,
Optional[List[int]] dim = [0],
bool keepdim = True		 None Fallback 1 -1
10 Tensor<[256, 256]> self = ?,
Optional[List[int]] dim = [0],
bool keepdim = True		 None Fallback 1 -1
11 Tensor<[256, 32]> self = ?,
Optional[List[int]] dim = [0],
bool keepdim = True		 None Fallback 1 -1
12 Tensor<[256, 64]> self = ?,
Optional[List[int]] dim = [0],
bool keepdim = True		 None Fallback 1 -1
13 Tensor<[4096, 256]> self = ?,
Optional[List[int]] dim = [0],
bool keepdim = True		 None Fallback 1 -1
14 Tensor<[4096, 64]> self = ?,
Optional[List[int]] dim = [0],
bool keepdim = True		 None Fallback 1 -1

aten.t.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1024, 160]> self = ? Done Done 1 0
1 Tensor<[1024, 256]> self = ? Done Done 1 0
2 Tensor<[1024, 640]> self = ? Done Done 1 0
3 Tensor<[128, 32]> self = ? Done Done 1 0
4 Tensor<[160, 1024]> self = ? Done Done 1 0
5 Tensor<[160, 160]> self = ? Done Done 1 0
6 Tensor<[160, 256]> self = ? Done Done 1 0
7 Tensor<[160, 640]> self = ? Done Done 1 0
8 Tensor<[16384, 128]> self = ? Done Done 1 0
9 Tensor<[16384, 256]> self = ? Done Done 1 0
10 Tensor<[16384, 32]> self = ? Done Done 1 0
11 Tensor<[256, 1024]> self = ? Done Done 1 0
12 Tensor<[256, 160]> self = ? Done Done 1 0
13 Tensor<[256, 256]> self = ? Done Done 1 0
14 Tensor<[256, 32]> self = ? Done Done 1 0
15 Tensor<[256, 64]> self = ? Done Done 1 0
16 Tensor<[32, 128]> self = ? Done Done 1 0
17 Tensor<[32, 16384]> self = ? Done Done 1 0
18 Tensor<[32, 256]> self = ? Done Done 1 0
19 Tensor<[32, 32]> self = ? Done Done 1 0
20 Tensor<[4096, 256]> self = ? Done Done 1 0
21 Tensor<[4096, 64]> self = ? Done Done 1 0
22 Tensor<[64, 256]> self = ? Done Done 1 0
23 Tensor<[64, 4096]> self = ? Done Done 1 0
24 Tensor<[64, 64]> self = ? Done Done 1 0
25 Tensor<[640, 160]> self = ? Done Done 1 0

aten.threshold_backward.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 256, 128, 128]> grad_output = ?,
Tensor<[1, 256, 128, 128]> self = ?,
number threshold = 0		 None Fallback 1 -1

aten.transpose.int

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1, 256, 32]> self = ?,
int dim0 = -1,
int dim1 = -2		 Done Done 1 0
1 Tensor<[1, 1, 32, 256]> self = ?,
int dim0 = -1,
int dim1 = -2		 Done Done 1 0
2 Tensor<[1, 1024, 160]> self = ?,
int dim0 = 1,
int dim1 = 2		 Done Done 1 0
3 Tensor<[1, 1024, 256]> self = ?,
int dim0 = 1,
int dim1 = 2		 Done Done 1 0
4 Tensor<[1, 1024, 640]> self = ?,
int dim0 = 1,
int dim1 = 2		 Done Done 1 0
5 Tensor<[1, 128, 16384]> self = ?,
int dim0 = 1,
int dim1 = 2		 Done Done 1 0
6 Tensor<[1, 160, 1024]> self = ?,
int dim0 = 1,
int dim1 = 2		 Done Done 1 0
7 Tensor<[1, 16384, 128]> self = ?,
int dim0 = 1,
int dim1 = 2		 Done Done 1 0
8 Tensor<[1, 16384, 256]> self = ?,
int dim0 = 1,
int dim1 = 2		 Done Done 1 0
9 Tensor<[1, 16384, 32]> self = ?,
int dim0 = 1,
int dim1 = 2		 Done Done 1 0
10 Tensor<[1, 2, 256, 32]> self = ?,
int dim0 = -1,
int dim1 = -2		 Done Done 1 0
11 Tensor<[1, 2, 32, 256]> self = ?,
int dim0 = -1,
int dim1 = -2		 Done Done 1 0
12 Tensor<[1, 256, 1024]> self = ?,
int dim0 = 1,
int dim1 = 2		 Done Done 1 0
13 Tensor<[1, 256, 256]> self = ?,
int dim0 = 1,
int dim1 = 2		 Done Done 1 0
14 Tensor<[1, 256, 32]> self = ?,
int dim0 = 1,
int dim1 = 2		 Done Done 1 0
15 Tensor<[1, 256, 4096]> self = ?,
int dim0 = 1,
int dim1 = 2		 Done Done 1 0
16 Tensor<[1, 32, 16384]> self = ?,
int dim0 = 1,
int dim1 = 2		 Done Done 1 0
17 Tensor<[1, 32, 256]> self = ?,
int dim0 = 1,
int dim1 = 2		 Done Done 1 0
18 Tensor<[1, 4096, 256]> self = ?,
int dim0 = 1,
int dim1 = 2		 Done Done 1 0
19 Tensor<[1, 4096, 64]> self = ?,
int dim0 = 1,
int dim1 = 2		 Done Done 1 0
20 Tensor<[1, 5, 256, 32]> self = ?,
int dim0 = -1,
int dim1 = -2		 Done Done 1 0
21 Tensor<[1, 5, 32, 256]> self = ?,
int dim0 = -1,
int dim1 = -2		 Done Done 1 0
22 Tensor<[1, 64, 4096]> self = ?,
int dim0 = 1,
int dim1 = 2		 Done Done 1 0
23 Tensor<[1, 640, 1024]> self = ?,
int dim0 = 1,
int dim1 = 2		 Done Done 1 0
24 Tensor<[1, 8, 256, 32]> self = ?,
int dim0 = -1,
int dim1 = -2		 Done Done 1 0
25 Tensor<[1, 8, 32, 256]> self = ?,
int dim0 = -1,
int dim1 = -2		 Done Done 1 0
26 Tensor<[2, 256, 32]> self = ?,
int dim0 = 1,
int dim1 = 2		 Done Done 1 0
27 Tensor<[2, 32, 256]> self = ?,
int dim0 = 1,
int dim1 = 2		 Done Done 1 0
28 Tensor<[2, 4096, 256]> self = ?,
int dim0 = 1,
int dim1 = 2		 Done Done 1 0
29 Tensor<[2, 4096, 32]> self = ?,
int dim0 = 1,
int dim1 = 2		 Done Done 1 0
30 Tensor<[5, 1024, 256]> self = ?,
int dim0 = 1,
int dim1 = 2		 Done Done 1 0
31 Tensor<[5, 1024, 32]> self = ?,
int dim0 = 1,
int dim1 = 2		 Done Done 1 0
32 Tensor<[5, 256, 32]> self = ?,
int dim0 = 1,
int dim1 = 2		 Done Done 1 0
33 Tensor<[5, 32, 256]> self = ?,
int dim0 = 1,
int dim1 = 2		 Done Done 1 0
34 Tensor<[8, 256, 256]> self = ?,
int dim0 = 1,
int dim1 = 2		 Done Done 1 0
35 Tensor<[8, 256, 32]> self = ?,
int dim0 = 1,
int dim1 = 2		 Done Done 1 0
36 Tensor<[8, 32, 256]> self = ?,
int dim0 = 1,
int dim1 = 2		 Done Done 1 0

aten.view.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1, 16384, 256]> self = ?,
List[int] size = [1, 16384, 256]		 Done Unknown N/A N/A
1 Tensor<[1, 1, 16384, 32]> self = ?,
List[int] size = [1, 16384, 32]		 Done Unknown N/A N/A
2 Tensor<[1, 1, 256, 32]> self = ?,
List[int] size = [1, 256, 32]		 Done Unknown N/A N/A
3 Tensor<[1, 1, 256]> self = ?,
List[int] size = [256]		 Done Done 1.0 -1
4 Tensor<[1, 1, 32, 256]> self = ?,
List[int] size = [1, 32, 256]		 Done Unknown N/A N/A
5 Tensor<[1, 1024, 16, 16]> self = ?,
List[int] size = [1, 1024, 256]		 Done Done 1.0 -1
6 Tensor<[1, 1024, 160]> self = ?,
List[int] size = [1, 1024, 5, 32]		 Done Unknown N/A N/A
7 Tensor<[1, 1024, 160]> self = ?,
List[int] size = [1, 32, 32, -1]		 Done Unknown N/A N/A
8 Tensor<[1, 1024, 160]> self = ?,
List[int] size = [1024, 160]		 Done Unknown N/A N/A
9 Tensor<[1, 1024, 256]> self = ?,
List[int] size = [1, 1024, 16, 16]		 Done Done 1.0 -1
10 Tensor<[1, 1024, 256]> self = ?,
List[int] size = [1024, 256]		 Done Done 1.0 -1
11 Tensor<[1, 1024, 5, 32]> self = ?,
List[int] size = [1, 1024, 160]		 Done Unknown N/A N/A
12 Tensor<[1, 1024, 640]> self = ?,
List[int] size = [1024, 640]		 Done Unknown N/A N/A
13 Tensor<[1, 1024]> self = ?,
List[int] size = [1024]		 Done Done 1.0 -1
14 Tensor<[1, 128, 128, 128]> self = ?,
List[int] size = [1, 128, 16384]		 Done Unknown N/A N/A
15 Tensor<[1, 128, 128, 32]> self = ?,
List[int] size = [1, 16384, 32]		 Done Done 1.0 -1
16 Tensor<[1, 128, 16384]> self = ?,
List[int] size = [1, 128, 128, 128]		 Done Unknown N/A N/A
17 Tensor<[1, 128]> self = ?,
List[int] size = [128]		 Done Done 1.0 -1
18 Tensor<[1, 16, 16, 256]> self = ?,
List[int] size = [1, 256, 256]		 Done Done 1.0 -1
19 Tensor<[1, 160, 1024]> self = ?,
List[int] size = [1, 160, 32, 32]		 Done Unknown N/A N/A
20 Tensor<[1, 160, 16, 16]> self = ?,
List[int] size = [1, 160, 256]		 Done Unknown N/A N/A
21 Tensor<[1, 160, 256]> self = ?,
List[int] size = [1, 160, 16, 16]		 Done Done 1.0 -1
22 Tensor<[1, 160, 32, 32]> self = ?,
List[int] size = [1, 160, 1024]		 Done Unknown N/A N/A
23 Tensor<[1, 160]> self = ?,
List[int] size = [160]		 Done Done 1.0 -1
24 Tensor<[1, 16384, 1, 32]> self = ?,
List[int] size = [1, 16384, 32]		 Done Unknown N/A N/A
25 Tensor<[1, 16384, 128]> self = ?,
List[int] size = [16384, 128]		 Done Unknown N/A N/A
26 Tensor<[1, 16384, 256]> self = ?,
List[int] size = [1, 1, 16384, 256]		 Done Unknown N/A N/A
27 Tensor<[1, 16384, 256]> self = ?,
List[int] size = [16384, 256]		 Done Done 1.0 -1
28 Tensor<[1, 16384, 32]> self = ?,
List[int] size = [1, 1, 16384, 32]		 Done Unknown N/A N/A
29 Tensor<[1, 16384, 32]> self = ?,
List[int] size = [1, 128, 128, -1]		 Done Unknown N/A N/A
30 Tensor<[1, 16384, 32]> self = ?,
List[int] size = [1, 16384, 1, 32]		 Done Unknown N/A N/A
31 Tensor<[1, 16384, 32]> self = ?,
List[int] size = [16384, 32]		 Done Unknown N/A N/A
32 Tensor<[1, 2, 256, 32]> self = ?,
List[int] size = [2, 256, 32]		 Done Unknown N/A N/A
33 Tensor<[1, 2, 32, 256]> self = ?,
List[int] size = [2, 32, 256]		 Done Unknown N/A N/A
34 Tensor<[1, 2, 4096, 256]> self = ?,
List[int] size = [2, 4096, 256]		 Done Unknown N/A N/A
35 Tensor<[1, 2, 4096, 32]> self = ?,
List[int] size = [2, 4096, 32]		 Done Unknown N/A N/A
36 Tensor<[1, 256, 1, 32]> self = ?,
List[int] size = [1, 256, 32]		 Done Done 1.0 -1
37 Tensor<[1, 256, 1024]> self = ?,
List[int] size = [1, 256, 32, 32]		 Done Done 1.0 -1
38 Tensor<[1, 256, 1024]> self = ?,
List[int] size = [256, 1024]		 Done Done 1.0 -1
39 Tensor<[1, 256, 128, 128]> self = ?,
List[int] size = [1, 256, 16384]		 Done Done 1.0 -1
40 Tensor<[1, 256, 16, 16]> self = ?,
List[int] size = [1, 256, 256]		 Done Done 1.0 -1
41 Tensor<[1, 256, 160]> self = ?,
List[int] size = [1, 256, 5, 32]		 Done Unknown N/A N/A
42 Tensor<[1, 256, 160]> self = ?,
List[int] size = [256, 160]		 Done Unknown N/A N/A
43 Tensor<[1, 256, 16384]> self = ?,
List[int] size = [1, 256, 128, 128]		 Done Done 1.0 -1
44 Tensor<[1, 256, 2, 32]> self = ?,
List[int] size = [1, 256, 64]		 Done Done 1.0 -1
45 Tensor<[1, 256, 256]> self = ?,
List[int] size = [1, 16, 16, -1]		 Done Done 1.0 -1
46 Tensor<[1, 256, 256]> self = ?,
List[int] size = [1, 256, 16, 16]		 Done Done 1.0 -1
47 Tensor<[1, 256, 256]> self = ?,
List[int] size = [1, 256, 8, 32]		 Done Done 1.0 -1
48 Tensor<[1, 256, 256]> self = ?,
List[int] size = [256, 256]		 Done Done 1.0 -1
49 Tensor<[1, 256, 32, 32]> self = ?,
List[int] size = [1, 256, 1024]		 Done Done 1.0 -1
50 Tensor<[1, 256, 32]> self = ?,
List[int] size = [1, 1, 256, 32]		 Done Done 1.0 -1
51 Tensor<[1, 256, 32]> self = ?,
List[int] size = [1, 256, 1, 32]		 Done Unknown N/A N/A
52 Tensor<[1, 256, 32]> self = ?,
List[int] size = [256, 32]		 Done Unknown N/A N/A
53 Tensor<[1, 256, 4096]> self = ?,
List[int] size = [1, 256, 64, 64]		 Done Unknown N/A N/A
54 Tensor<[1, 256, 5, 32]> self = ?,
List[int] size = [1, 256, 160]		 Done Done 1.0 -1
55 Tensor<[1, 256, 64, 64]> self = ?,
List[int] size = [1, 256, 4096]		 Done Unknown N/A N/A
56 Tensor<[1, 256, 64]> self = ?,
List[int] size = [1, 256, 2, 32]		 Done Unknown N/A N/A
57 Tensor<[1, 256, 64]> self = ?,
List[int] size = [256, 64]		 Done Unknown N/A N/A
58 Tensor<[1, 256, 8, 32]> self = ?,
List[int] size = [1, 256, 256]		 Done Done 1.0 -1
59 Tensor<[1, 256]> self = ?,
List[int] size = [256]		 Done Done 1.0 -1
60 Tensor<[1, 32, 128, 128]> self = ?,
List[int] size = [1, 32, 16384]		 Done Unknown N/A N/A
61 Tensor<[1, 32, 16, 16]> self = ?,
List[int] size = [1, 32, 256]		 Done Unknown N/A N/A
62 Tensor<[1, 32, 16384]> self = ?,
List[int] size = [1, 32, 128, 128]		 Done Unknown N/A N/A
63 Tensor<[1, 32, 256]> self = ?,
List[int] size = [1, 1, 32, 256]		 Done Done 1.0 -1
64 Tensor<[1, 32, 256]> self = ?,
List[int] size = [1, 32, 16, 16]		 Done Done 1.0 -1
65 Tensor<[1, 32, 32, 160]> self = ?,
List[int] size = [1, 1024, 160]		 Done Done 1.0 -1
66 Tensor<[1, 32]> self = ?,
List[int] size = [32]		 Done Done 1.0 -1
67 Tensor<[1, 4096, 2, 32]> self = ?,
List[int] size = [1, 4096, 64]		 Done Unknown N/A N/A
68 Tensor<[1, 4096, 256]> self = ?,
List[int] size = [4096, 256]		 Done Unknown N/A N/A
69 Tensor<[1, 4096, 64]> self = ?,
List[int] size = [1, 4096, 2, 32]		 Done Unknown N/A N/A
70 Tensor<[1, 4096, 64]> self = ?,
List[int] size = [1, 64, 64, -1]		 Done Unknown N/A N/A
71 Tensor<[1, 4096, 64]> self = ?,
List[int] size = [4096, 64]		 Done Unknown N/A N/A
72 Tensor<[1, 5, 1024, 256]> self = ?,
List[int] size = [5, 1024, 256]		 Done Unknown N/A N/A
73 Tensor<[1, 5, 1024, 32]> self = ?,
List[int] size = [5, 1024, 32]		 Done Unknown N/A N/A
74 Tensor<[1, 5, 256, 32]> self = ?,
List[int] size = [5, 256, 32]		 Done Unknown N/A N/A
75 Tensor<[1, 5, 32, 256]> self = ?,
List[int] size = [5, 32, 256]		 Done Unknown N/A N/A
76 Tensor<[1, 64, 16, 16]> self = ?,
List[int] size = [1, 64, 256]		 Done Unknown N/A N/A
77 Tensor<[1, 64, 256]> self = ?,
List[int] size = [1, 64, 16, 16]		 Done Done 1.0 -1
78 Tensor<[1, 64, 4096]> self = ?,
List[int] size = [1, 64, 64, 64]		 Done Unknown N/A N/A
79 Tensor<[1, 64, 64, 64]> self = ?,
List[int] size = [1, 4096, 64]		 Done Done 1.0 -1
80 Tensor<[1, 64, 64, 64]> self = ?,
List[int] size = [1, 64, 4096]		 Done Unknown N/A N/A
81 Tensor<[1, 640, 1024]> self = ?,
List[int] size = [1, 640, 32, 32]		 Done Unknown N/A N/A
82 Tensor<[1, 640, 32, 32]> self = ?,
List[int] size = [1, 640, 1024]		 Done Unknown N/A N/A
83 Tensor<[1, 640]> self = ?,
List[int] size = [640]		 Done Done 1.0 -1
84 Tensor<[1, 64]> self = ?,
List[int] size = [64]		 Done Done 1.0 -1
85 Tensor<[1, 8, 256, 256]> self = ?,
List[int] size = [8, 256, 256]		 Done Done 1.0 -1
86 Tensor<[1, 8, 256, 32]> self = ?,
List[int] size = [8, 256, 32]		 Done Done 1.0 -1
87 Tensor<[1, 8, 32, 256]> self = ?,
List[int] size = [8, 32, 256]		 Done Done 1.0 -1
88 Tensor<[1024, 160]> self = ?,
List[int] size = [1, 1024, 160]		 Done Unknown N/A N/A
89 Tensor<[1024, 256]> self = ?,
List[int] size = [1, 1024, 256]		 Done Done 1.0 -1
90 Tensor<[1024, 640]> self = ?,
List[int] size = [1, 1024, 640]		 Done Unknown N/A N/A
91 Tensor<[16384, 128]> self = ?,
List[int] size = [1, 16384, 128]		 Done Unknown N/A N/A
92 Tensor<[16384, 256]> self = ?,
List[int] size = [1, 16384, 256]		 Done Done 1.0 -1
93 Tensor<[16384, 32]> self = ?,
List[int] size = [1, 16384, 32]		 Done Unknown N/A N/A
94 Tensor<[2, 256, 32]> self = ?,
List[int] size = [1, 2, 256, 32]		 Done Done 1.0 -1
95 Tensor<[2, 32, 256]> self = ?,
List[int] size = [1, 2, 32, 256]		 Done Done 1.0 -1
96 Tensor<[2, 4096, 256]> self = ?,
List[int] size = [1, 2, 4096, 256]		 Done Unknown N/A N/A
97 Tensor<[2, 4096, 32]> self = ?,
List[int] size = [1, 2, 4096, 32]		 Done Unknown N/A N/A
98 Tensor<[256, 1024]> self = ?,
List[int] size = [1, 256, 1024]		 Done Done 1.0 -1
99 Tensor<[256, 160]> self = ?,
List[int] size = [1, 256, 160]		 Done Unknown N/A N/A
100 Tensor<[256, 256]> self = ?,
List[int] size = [1, 256, 256]		 Done Done 1.0 -1
101 Tensor<[256, 32]> self = ?,
List[int] size = [1, 256, 32]		 Done Unknown N/A N/A
102 Tensor<[256, 64]> self = ?,
List[int] size = [1, 256, 64]		 Done Unknown N/A N/A
103 Tensor<[4096, 256]> self = ?,
List[int] size = [1, 4096, 256]		 Done Unknown N/A N/A
104 Tensor<[4096, 64]> self = ?,
List[int] size = [1, 4096, 64]		 Done Unknown N/A N/A
105 Tensor<[5, 1024, 256]> self = ?,
List[int] size = [1, 5, 1024, 256]		 Done Unknown N/A N/A
106 Tensor<[5, 1024, 32]> self = ?,
List[int] size = [1, 5, 1024, 32]		 Done Unknown N/A N/A
107 Tensor<[5, 256, 32]> self = ?,
List[int] size = [1, 5, 256, 32]		 Done Done 1.0 -1
108 Tensor<[5, 32, 256]> self = ?,
List[int] size = [1, 5, 32, 256]		 Done Done 1.0 -1
109 Tensor<[8, 256, 256]> self = ?,
List[int] size = [1, 8, 256, 256]		 Done Done 1.0 -1
110 Tensor<[8, 256, 32]> self = ?,
List[int] size = [1, 8, 256, 32]		 Done Done 1.0 -1
111 Tensor<[8, 32, 256]> self = ?,
List[int] size = [1, 8, 32, 256]		 Done Done 1.0 -1

aten.zeros.default

ATen Input Variations Status Isolated PCC Host
0 List[int] size = [1, 256, 128, 128],
Optional[int] dtype = torch.float32,
Optional[int] layout = torch.strided,
Optional[Device] device = cpu		 Done Unknown N/A N/A
1 List[int] size = [1, 256, 16, 16],
Optional[int] dtype = torch.float32,
Optional[int] layout = torch.strided,
Optional[Device] device = cpu		 Done Unknown N/A N/A
2 List[int] size = [1, 256, 32, 32],
Optional[int] dtype = torch.float32,
Optional[int] layout = torch.strided,
Optional[Device] device = cpu		 Done Unknown N/A N/A
3 List[int] size = [1, 256, 64, 64],
Optional[int] dtype = torch.float32,
Optional[int] layout = torch.strided,
Optional[Device] device = cpu		 Done Unknown N/A N/A