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input_variations.md

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High Level Operations Status

Operations Input Variations Converted Removed Fallback Completed Score
0 aten._native_batch_norm_legit_functional.default 19 0 0 0 ✘ 0
1 aten._to_copy.default 15 0 0 0 ✘ 0
2 aten.add.Tensor 5 5 0 0 ✅ 1
3 aten.addmm.default 1 1 0 0 ✅ 1
4 aten.constant_pad_nd.default 10 5 0 0 🚧 0.5
5 aten.convolution.default 32 32 0 0 ✅ 1
6 aten.convolution_backward.default 32 0 0 0 ✘ 0
7 aten.div.Scalar 1 0 0 0 ✘ 0
8 aten.expand.default 1 0 0 0 ✘ 0
9 aten.hardtanh.default 12 12 0 0 ✅ 1
10 aten.hardtanh_backward.default 12 0 0 0 ✘ 0
11 aten.mean.dim 1 1 0 0 ✅ 1
12 aten.mm.default 2 2 0 0 ✅ 1
13 aten.native_batch_norm_backward.default 19 0 0 0 ✘ 0
14 aten.sum.dim_IntList 1 0 0 0 ✘ 0
15 aten.t.default 3 3 0 0 ✅ 1
16 aten.view.default 3 3 0 0 ✅ 1

aten._native_batch_norm_legit_functional.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 120, 17, 17]> 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 = 0.001		 None Fallback 1 0
1 Tensor<[1, 1248, 9, 9]> input = ?,
Optional[Tensor]<[1248]> weight = ?,
Optional[Tensor]<[1248]> bias = ?,
Tensor<[1248]> running_mean = ?,
Tensor<[1248]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 0.001		 None Fallback 1 0
2 Tensor<[1, 1280, 9, 9]> input = ?,
Optional[Tensor]<[1280]> weight = ?,
Optional[Tensor]<[1280]> bias = ?,
Tensor<[1280]> running_mean = ?,
Tensor<[1280]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 0.001		 None Fallback 1 0
3 Tensor<[1, 144, 33, 33]> input = ?,
Optional[Tensor]<[144]> weight = ?,
Optional[Tensor]<[144]> bias = ?,
Tensor<[144]> running_mean = ?,
Tensor<[144]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 0.001		 None Fallback 1 0
4 Tensor<[1, 144, 65, 65]> input = ?,
Optional[Tensor]<[144]> weight = ?,
Optional[Tensor]<[144]> bias = ?,
Tensor<[144]> running_mean = ?,
Tensor<[144]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 0.001		 None Fallback 1 0
5 Tensor<[1, 16, 130, 130]> 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 = 0.001		 None Fallback 1 0
6 Tensor<[1, 208, 9, 9]> input = ?,
Optional[Tensor]<[208]> weight = ?,
Optional[Tensor]<[208]> bias = ?,
Tensor<[208]> running_mean = ?,
Tensor<[208]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 0.001		 None Fallback 1 0
7 Tensor<[1, 24, 65, 65]> 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 = 0.001		 None Fallback 1 0
8 Tensor<[1, 288, 17, 17]> input = ?,
Optional[Tensor]<[288]> weight = ?,
Optional[Tensor]<[288]> bias = ?,
Tensor<[288]> running_mean = ?,
Tensor<[288]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 0.001		 None Fallback 1 0
9 Tensor<[1, 288, 33, 33]> input = ?,
Optional[Tensor]<[288]> weight = ?,
Optional[Tensor]<[288]> bias = ?,
Tensor<[288]> running_mean = ?,
Tensor<[288]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 0.001		 None Fallback 1 0
10 Tensor<[1, 32, 130, 130]> input = ?,
Optional[Tensor]<[32]> weight = ?,
Optional[Tensor]<[32]> bias = ?,
Tensor<[32]> running_mean = ?,
Tensor<[32]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 0.001		 None Fallback 1 0
11 Tensor<[1, 352, 9, 9]> input = ?,
Optional[Tensor]<[352]> weight = ?,
Optional[Tensor]<[352]> bias = ?,
Tensor<[352]> running_mean = ?,
Tensor<[352]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 0.001		 None Fallback 1 0
12 Tensor<[1, 48, 33, 33]> 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 = 0.001		 None Fallback 1 0
13 Tensor<[1, 528, 17, 17]> input = ?,
Optional[Tensor]<[528]> weight = ?,
Optional[Tensor]<[528]> bias = ?,
Tensor<[528]> running_mean = ?,
Tensor<[528]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 0.001		 None Fallback 1 0
14 Tensor<[1, 720, 17, 17]> input = ?,
Optional[Tensor]<[720]> weight = ?,
Optional[Tensor]<[720]> bias = ?,
Tensor<[720]> running_mean = ?,
Tensor<[720]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 0.001		 None Fallback 1 0
15 Tensor<[1, 720, 9, 9]> input = ?,
Optional[Tensor]<[720]> weight = ?,
Optional[Tensor]<[720]> bias = ?,
Tensor<[720]> running_mean = ?,
Tensor<[720]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 0.001		 None Fallback 1 0
16 Tensor<[1, 88, 17, 17]> input = ?,
Optional[Tensor]<[88]> weight = ?,
Optional[Tensor]<[88]> bias = ?,
Tensor<[88]> running_mean = ?,
Tensor<[88]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 0.001		 None Fallback 1 0
17 Tensor<[1, 96, 130, 130]> input = ?,
Optional[Tensor]<[96]> weight = ?,
Optional[Tensor]<[96]> bias = ?,
Tensor<[96]> running_mean = ?,
Tensor<[96]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 0.001		 None Fallback 1 0
18 Tensor<[1, 96, 65, 65]> input = ?,
Optional[Tensor]<[96]> weight = ?,
Optional[Tensor]<[96]> bias = ?,
Tensor<[96]> running_mean = ?,
Tensor<[96]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 0.001		 None Fallback 1 0

aten._to_copy.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[120]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
1 Tensor<[1248]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
2 Tensor<[1280]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
3 Tensor<[144]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
4 Tensor<[16]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
5 Tensor<[208]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
6 Tensor<[24]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
7 Tensor<[288]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
8 Tensor<[32]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
9 Tensor<[352]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
10 Tensor<[48]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
11 Tensor<[528]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
12 Tensor<[720]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
13 Tensor<[88]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1
14 Tensor<[96]> self = ?,
Optional[int] dtype = torch.bfloat16,
Optional[int] layout = torch.strided		 None Fallback 1 -1

aten.add.Tensor

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 120, 17, 17]> self = ?,
Tensor<[1, 120, 17, 17]> other = ?		 Done Done 0.999998 0
1 Tensor<[1, 208, 9, 9]> self = ?,
Tensor<[1, 208, 9, 9]> other = ?		 Done Done 0.999998 0
2 Tensor<[1, 24, 65, 65]> self = ?,
Tensor<[1, 24, 65, 65]> other = ?		 Done Done 0.999998 0
3 Tensor<[1, 48, 33, 33]> self = ?,
Tensor<[1, 48, 33, 33]> other = ?		 Done Done 0.999998 0
4 Tensor<[1, 88, 17, 17]> self = ?,
Tensor<[1, 88, 17, 17]> other = ?		 Done Done 0.999998 0

aten.addmm.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1000]> self = ?,
Tensor<[1, 1280]> mat1 = ?,
Tensor<[1280, 1000]> mat2 = ?		 Done Done 0.999963 0

aten.constant_pad_nd.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 144, 65, 65]> self = ?,
List[int] pad = [2, 2, 2, 2],
number value = 0.0		 Done Done 1 0
1 Tensor<[1, 144, 69, 69]> self = ?,
List[int] pad = [-2, -2, -2, -2]		 None Fallback 1 -1
2 Tensor<[1, 288, 33, 33]> self = ?,
List[int] pad = [1, 1, 1, 1],
number value = 0.0		 Done Done 1 0
3 Tensor<[1, 288, 35, 35]> self = ?,
List[int] pad = [-1, -1, -1, -1]		 None Fallback 1 -1
4 Tensor<[1, 3, 260, 260]> self = ?,
List[int] pad = [0, 1, 0, 1],
number value = 0.0		 Done Done 0.510031 0
5 Tensor<[1, 3, 261, 261]> self = ?,
List[int] pad = [0, -1, 0, -1]		 None Fallback 1 -1
6 Tensor<[1, 720, 17, 17]> self = ?,
List[int] pad = [2, 2, 2, 2],
number value = 0.0		 Done Done 1 0
7 Tensor<[1, 720, 21, 21]> self = ?,
List[int] pad = [-2, -2, -2, -2]		 None Fallback 1 -1
8 Tensor<[1, 96, 130, 130]> self = ?,
List[int] pad = [0, 1, 0, 1],
number value = 0.0		 Done Done 0.508273 0
9 Tensor<[1, 96, 131, 131]> self = ?,
List[int] pad = [0, -1, 0, -1]		 None Fallback 1 -1

aten.convolution.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 120, 17, 17]> input = ?,
Tensor<[720, 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 0.9999792987044653 4
1 Tensor<[1, 1248, 9, 9]> input = ?,
Tensor<[1248, 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 = 1248		 Done Unknown N/A N/A
2 Tensor<[1, 1248, 9, 9]> input = ?,
Tensor<[1248, 1, 5, 5]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [2, 2],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1248		 Done Done 0.999964412261606 4
3 Tensor<[1, 1248, 9, 9]> input = ?,
Tensor<[208, 1248, 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 0.9997933591613828 4
4 Tensor<[1, 1248, 9, 9]> input = ?,
Tensor<[352, 1248, 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 Unknown N/A N/A
5 Tensor<[1, 144, 33, 33]> input = ?,
Tensor<[48, 144, 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 0.9999785483462548 4
6 Tensor<[1, 144, 65, 65]> input = ?,
Tensor<[144, 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 = 144		 Done Done 0.9999827132031132 4
7 Tensor<[1, 144, 65, 65]> input = ?,
Tensor<[24, 144, 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 0.9999794836037763 4
8 Tensor<[1, 144, 69, 69]> input = ?,
Tensor<[144, 1, 5, 5]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 144		 Done Done 0.9999565683804189 4
9 Tensor<[1, 16, 130, 130]> input = ?,
Tensor<[96, 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 0.9999943433885726 4
10 Tensor<[1, 208, 9, 9]> input = ?,
Tensor<[1248, 208, 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 0.9999708489653075 4
11 Tensor<[1, 24, 65, 65]> input = ?,
Tensor<[144, 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 0.99999116867018 4
12 Tensor<[1, 288, 17, 17]> input = ?,
Tensor<[88, 288, 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 0.9999621100142956 4
13 Tensor<[1, 288, 33, 33]> input = ?,
Tensor<[288, 1, 5, 5]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [2, 2],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 288		 Done Done 0.9999598788393256 4
14 Tensor<[1, 288, 33, 33]> input = ?,
Tensor<[48, 288, 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 0.9999604879731262 4
15 Tensor<[1, 288, 35, 35]> input = ?,
Tensor<[288, 1, 3, 3]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 288		 Done Done 0.9999831758101777 4
16 Tensor<[1, 3, 261, 261]> input = ?,
Tensor<[32, 3, 3, 3]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999980899671047 4
17 Tensor<[1, 32, 130, 130]> input = ?,
Tensor<[16, 32, 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 0.9999911680673869 4
18 Tensor<[1, 32, 130, 130]> input = ?,
Tensor<[32, 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 = 32		 Done Done 0.9999833835775692 4
19 Tensor<[1, 352, 9, 9]> input = ?,
Tensor<[1280, 352, 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 Unknown N/A N/A
20 Tensor<[1, 48, 33, 33]> input = ?,
Tensor<[288, 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 0.9999881435657605 4
21 Tensor<[1, 528, 17, 17]> input = ?,
Tensor<[120, 528, 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 0.9999250427387898 4
22 Tensor<[1, 528, 17, 17]> input = ?,
Tensor<[528, 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 = 528		 Done Done 0.9999843694099096 4
23 Tensor<[1, 528, 17, 17]> input = ?,
Tensor<[528, 1, 5, 5]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [2, 2],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 528		 Done Done 0.9999608206685761 4
24 Tensor<[1, 528, 17, 17]> input = ?,
Tensor<[88, 528, 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 0.9999263604029196 4
25 Tensor<[1, 720, 17, 17]> input = ?,
Tensor<[120, 720, 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 0.999895296695498 4
26 Tensor<[1, 720, 17, 17]> input = ?,
Tensor<[720, 1, 5, 5]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [2, 2],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 720		 Done Done 0.9999617490415493 4
27 Tensor<[1, 720, 21, 21]> input = ?,
Tensor<[720, 1, 5, 5]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 720		 Done Done 0.9999583577656874 4
28 Tensor<[1, 720, 9, 9]> input = ?,
Tensor<[208, 720, 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 0.9998949190510648 4
29 Tensor<[1, 88, 17, 17]> input = ?,
Tensor<[528, 88, 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 0.9999836237577586 4
30 Tensor<[1, 96, 131, 131]> input = ?,
Tensor<[96, 1, 3, 3]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 96		 Done Done 0.9999829194274669 4
31 Tensor<[1, 96, 65, 65]> input = ?,
Tensor<[24, 96, 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 0.9999839527369916 4

aten.convolution_backward.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 120, 17, 17]> grad_output = ?,
Tensor<[1, 528, 17, 17]> input = ?,
Tensor<[120, 528, 1, 1]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
1 Tensor<[1, 120, 17, 17]> grad_output = ?,
Tensor<[1, 720, 17, 17]> input = ?,
Tensor<[120, 720, 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, 1248, 9, 9]> grad_output = ?,
Tensor<[1, 1248, 9, 9]> input = ?,
Tensor<[1248, 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 = 1248,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
3 Tensor<[1, 1248, 9, 9]> grad_output = ?,
Tensor<[1, 1248, 9, 9]> input = ?,
Tensor<[1248, 1, 5, 5]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [1, 1],
List[int] padding = [2, 2],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1248,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
4 Tensor<[1, 1248, 9, 9]> grad_output = ?,
Tensor<[1, 208, 9, 9]> input = ?,
Tensor<[1248, 208, 1, 1]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
5 Tensor<[1, 1280, 9, 9]> grad_output = ?,
Tensor<[1, 352, 9, 9]> input = ?,
Tensor<[1280, 352, 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, 144, 33, 33]> grad_output = ?,
Tensor<[1, 144, 69, 69]> input = ?,
Tensor<[144, 1, 5, 5]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 144,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
7 Tensor<[1, 144, 65, 65]> grad_output = ?,
Tensor<[1, 144, 65, 65]> input = ?,
Tensor<[144, 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 = 144,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
8 Tensor<[1, 144, 65, 65]> grad_output = ?,
Tensor<[1, 24, 65, 65]> input = ?,
Tensor<[144, 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
9 Tensor<[1, 16, 130, 130]> grad_output = ?,
Tensor<[1, 32, 130, 130]> input = ?,
Tensor<[16, 32, 1, 1]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
10 Tensor<[1, 208, 9, 9]> grad_output = ?,
Tensor<[1, 1248, 9, 9]> input = ?,
Tensor<[208, 1248, 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, 208, 9, 9]> grad_output = ?,
Tensor<[1, 720, 9, 9]> input = ?,
Tensor<[208, 720, 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
12 Tensor<[1, 24, 65, 65]> grad_output = ?,
Tensor<[1, 144, 65, 65]> input = ?,
Tensor<[24, 144, 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
13 Tensor<[1, 24, 65, 65]> grad_output = ?,
Tensor<[1, 96, 65, 65]> input = ?,
Tensor<[24, 96, 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
14 Tensor<[1, 288, 17, 17]> grad_output = ?,
Tensor<[1, 288, 35, 35]> input = ?,
Tensor<[288, 1, 3, 3]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 288,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
15 Tensor<[1, 288, 33, 33]> grad_output = ?,
Tensor<[1, 288, 33, 33]> input = ?,
Tensor<[288, 1, 5, 5]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [1, 1],
List[int] padding = [2, 2],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 288,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
16 Tensor<[1, 288, 33, 33]> grad_output = ?,
Tensor<[1, 48, 33, 33]> input = ?,
Tensor<[288, 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
17 Tensor<[1, 32, 130, 130]> grad_output = ?,
Tensor<[1, 3, 261, 261]> input = ?,
Tensor<[32, 3, 3, 3]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
18 Tensor<[1, 32, 130, 130]> grad_output = ?,
Tensor<[1, 32, 130, 130]> input = ?,
Tensor<[32, 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 = 32,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
19 Tensor<[1, 352, 9, 9]> grad_output = ?,
Tensor<[1, 1248, 9, 9]> input = ?,
Tensor<[352, 1248, 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, 48, 33, 33]> grad_output = ?,
Tensor<[1, 144, 33, 33]> input = ?,
Tensor<[48, 144, 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, 48, 33, 33]> grad_output = ?,
Tensor<[1, 288, 33, 33]> input = ?,
Tensor<[48, 288, 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
22 Tensor<[1, 528, 17, 17]> grad_output = ?,
Tensor<[1, 528, 17, 17]> input = ?,
Tensor<[528, 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 = 528,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
23 Tensor<[1, 528, 17, 17]> grad_output = ?,
Tensor<[1, 528, 17, 17]> input = ?,
Tensor<[528, 1, 5, 5]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [1, 1],
List[int] padding = [2, 2],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 528,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
24 Tensor<[1, 528, 17, 17]> grad_output = ?,
Tensor<[1, 88, 17, 17]> input = ?,
Tensor<[528, 88, 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
25 Tensor<[1, 720, 17, 17]> grad_output = ?,
Tensor<[1, 120, 17, 17]> input = ?,
Tensor<[720, 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
26 Tensor<[1, 720, 17, 17]> grad_output = ?,
Tensor<[1, 720, 17, 17]> input = ?,
Tensor<[720, 1, 5, 5]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [1, 1],
List[int] padding = [2, 2],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 720,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
27 Tensor<[1, 720, 9, 9]> grad_output = ?,
Tensor<[1, 720, 21, 21]> input = ?,
Tensor<[720, 1, 5, 5]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 720,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0
28 Tensor<[1, 88, 17, 17]> grad_output = ?,
Tensor<[1, 288, 17, 17]> input = ?,
Tensor<[88, 288, 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
29 Tensor<[1, 88, 17, 17]> grad_output = ?,
Tensor<[1, 528, 17, 17]> input = ?,
Tensor<[88, 528, 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, 96, 130, 130]> grad_output = ?,
Tensor<[1, 16, 130, 130]> input = ?,
Tensor<[96, 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
31 Tensor<[1, 96, 65, 65]> grad_output = ?,
Tensor<[1, 96, 131, 131]> input = ?,
Tensor<[96, 1, 3, 3]> weight = ?,
Optional[List[int]] bias_sizes = [0],
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 96,
List[bool] output_mask = [True, True, False]		 None Fallback 1 0

aten.div.Scalar

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1280, 9, 9]> self = ?,
number other = 81		 None Fallback 1 -1

aten.expand.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1280, 1, 1]> self = ?,
List[int] size = [1, 1280, 9, 9]		 None Fallback 1 -1

aten.hardtanh.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1248, 9, 9]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
1 Tensor<[1, 1280, 9, 9]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
2 Tensor<[1, 144, 33, 33]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
3 Tensor<[1, 144, 65, 65]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
4 Tensor<[1, 288, 17, 17]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
5 Tensor<[1, 288, 33, 33]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
6 Tensor<[1, 32, 130, 130]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
7 Tensor<[1, 528, 17, 17]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
8 Tensor<[1, 720, 17, 17]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
9 Tensor<[1, 720, 9, 9]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
10 Tensor<[1, 96, 130, 130]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
11 Tensor<[1, 96, 65, 65]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0

aten.hardtanh_backward.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1248, 9, 9]> grad_output = ?,
Tensor<[1, 1248, 9, 9]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 None Fallback 1 -1
1 Tensor<[1, 1280, 9, 9]> grad_output = ?,
Tensor<[1, 1280, 9, 9]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 None Fallback 1 -1
2 Tensor<[1, 144, 33, 33]> grad_output = ?,
Tensor<[1, 144, 33, 33]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 None Fallback 1 -1
3 Tensor<[1, 144, 65, 65]> grad_output = ?,
Tensor<[1, 144, 65, 65]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 None Fallback 1 -1
4 Tensor<[1, 288, 17, 17]> grad_output = ?,
Tensor<[1, 288, 17, 17]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 None Fallback 1 -1
5 Tensor<[1, 288, 33, 33]> grad_output = ?,
Tensor<[1, 288, 33, 33]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 None Fallback 1 -1
6 Tensor<[1, 32, 130, 130]> grad_output = ?,
Tensor<[1, 32, 130, 130]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 None Fallback 1 -1
7 Tensor<[1, 528, 17, 17]> grad_output = ?,
Tensor<[1, 528, 17, 17]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 None Fallback 1 -1
8 Tensor<[1, 720, 17, 17]> grad_output = ?,
Tensor<[1, 720, 17, 17]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 None Fallback 1 -1
9 Tensor<[1, 720, 9, 9]> grad_output = ?,
Tensor<[1, 720, 9, 9]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 None Fallback 1 -1
10 Tensor<[1, 96, 130, 130]> grad_output = ?,
Tensor<[1, 96, 130, 130]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 None Fallback 1 -1
11 Tensor<[1, 96, 65, 65]> grad_output = ?,
Tensor<[1, 96, 65, 65]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 None Fallback 1 -1

aten.mean.dim

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1280, 9, 9]> self = ?,
Optional[List[int]] dim = [-1, -2],
bool keepdim = True		 Done Done 0 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 0.999996 0

aten.native_batch_norm_backward.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 120, 17, 17]> grad_out = ?,
Tensor<[1, 120, 17, 17]> 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 = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
1 Tensor<[1, 1248, 9, 9]> grad_out = ?,
Tensor<[1, 1248, 9, 9]> input = ?,
Optional[Tensor]<[1248]> weight = ?,
Optional[Tensor]<[1248]> running_mean = ?,
Optional[Tensor]<[1248]> running_var = ?,
Optional[Tensor]<[1248]> save_mean = ?,
Optional[Tensor]<[1248]> save_invstd = ?,
bool train = True,
float eps = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
2 Tensor<[1, 1280, 9, 9]> grad_out = ?,
Tensor<[1, 1280, 9, 9]> input = ?,
Optional[Tensor]<[1280]> weight = ?,
Optional[Tensor]<[1280]> running_mean = ?,
Optional[Tensor]<[1280]> running_var = ?,
Optional[Tensor]<[1280]> save_mean = ?,
Optional[Tensor]<[1280]> save_invstd = ?,
bool train = True,
float eps = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
3 Tensor<[1, 144, 33, 33]> grad_out = ?,
Tensor<[1, 144, 33, 33]> input = ?,
Optional[Tensor]<[144]> weight = ?,
Optional[Tensor]<[144]> running_mean = ?,
Optional[Tensor]<[144]> running_var = ?,
Optional[Tensor]<[144]> save_mean = ?,
Optional[Tensor]<[144]> save_invstd = ?,
bool train = True,
float eps = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
4 Tensor<[1, 144, 65, 65]> grad_out = ?,
Tensor<[1, 144, 65, 65]> input = ?,
Optional[Tensor]<[144]> weight = ?,
Optional[Tensor]<[144]> running_mean = ?,
Optional[Tensor]<[144]> running_var = ?,
Optional[Tensor]<[144]> save_mean = ?,
Optional[Tensor]<[144]> save_invstd = ?,
bool train = True,
float eps = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
5 Tensor<[1, 16, 130, 130]> grad_out = ?,
Tensor<[1, 16, 130, 130]> 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 = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
6 Tensor<[1, 208, 9, 9]> grad_out = ?,
Tensor<[1, 208, 9, 9]> input = ?,
Optional[Tensor]<[208]> weight = ?,
Optional[Tensor]<[208]> running_mean = ?,
Optional[Tensor]<[208]> running_var = ?,
Optional[Tensor]<[208]> save_mean = ?,
Optional[Tensor]<[208]> save_invstd = ?,
bool train = True,
float eps = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
7 Tensor<[1, 24, 65, 65]> grad_out = ?,
Tensor<[1, 24, 65, 65]> 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 = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
8 Tensor<[1, 288, 17, 17]> grad_out = ?,
Tensor<[1, 288, 17, 17]> input = ?,
Optional[Tensor]<[288]> weight = ?,
Optional[Tensor]<[288]> running_mean = ?,
Optional[Tensor]<[288]> running_var = ?,
Optional[Tensor]<[288]> save_mean = ?,
Optional[Tensor]<[288]> save_invstd = ?,
bool train = True,
float eps = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
9 Tensor<[1, 288, 33, 33]> grad_out = ?,
Tensor<[1, 288, 33, 33]> input = ?,
Optional[Tensor]<[288]> weight = ?,
Optional[Tensor]<[288]> running_mean = ?,
Optional[Tensor]<[288]> running_var = ?,
Optional[Tensor]<[288]> save_mean = ?,
Optional[Tensor]<[288]> save_invstd = ?,
bool train = True,
float eps = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
10 Tensor<[1, 32, 130, 130]> grad_out = ?,
Tensor<[1, 32, 130, 130]> input = ?,
Optional[Tensor]<[32]> weight = ?,
Optional[Tensor]<[32]> running_mean = ?,
Optional[Tensor]<[32]> running_var = ?,
Optional[Tensor]<[32]> save_mean = ?,
Optional[Tensor]<[32]> save_invstd = ?,
bool train = True,
float eps = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
11 Tensor<[1, 352, 9, 9]> grad_out = ?,
Tensor<[1, 352, 9, 9]> input = ?,
Optional[Tensor]<[352]> weight = ?,
Optional[Tensor]<[352]> running_mean = ?,
Optional[Tensor]<[352]> running_var = ?,
Optional[Tensor]<[352]> save_mean = ?,
Optional[Tensor]<[352]> save_invstd = ?,
bool train = True,
float eps = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
12 Tensor<[1, 48, 33, 33]> grad_out = ?,
Tensor<[1, 48, 33, 33]> 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 = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
13 Tensor<[1, 528, 17, 17]> grad_out = ?,
Tensor<[1, 528, 17, 17]> input = ?,
Optional[Tensor]<[528]> weight = ?,
Optional[Tensor]<[528]> running_mean = ?,
Optional[Tensor]<[528]> running_var = ?,
Optional[Tensor]<[528]> save_mean = ?,
Optional[Tensor]<[528]> save_invstd = ?,
bool train = True,
float eps = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
14 Tensor<[1, 720, 17, 17]> grad_out = ?,
Tensor<[1, 720, 17, 17]> input = ?,
Optional[Tensor]<[720]> weight = ?,
Optional[Tensor]<[720]> running_mean = ?,
Optional[Tensor]<[720]> running_var = ?,
Optional[Tensor]<[720]> save_mean = ?,
Optional[Tensor]<[720]> save_invstd = ?,
bool train = True,
float eps = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
15 Tensor<[1, 720, 9, 9]> grad_out = ?,
Tensor<[1, 720, 9, 9]> input = ?,
Optional[Tensor]<[720]> weight = ?,
Optional[Tensor]<[720]> running_mean = ?,
Optional[Tensor]<[720]> running_var = ?,
Optional[Tensor]<[720]> save_mean = ?,
Optional[Tensor]<[720]> save_invstd = ?,
bool train = True,
float eps = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
16 Tensor<[1, 88, 17, 17]> grad_out = ?,
Tensor<[1, 88, 17, 17]> input = ?,
Optional[Tensor]<[88]> weight = ?,
Optional[Tensor]<[88]> running_mean = ?,
Optional[Tensor]<[88]> running_var = ?,
Optional[Tensor]<[88]> save_mean = ?,
Optional[Tensor]<[88]> save_invstd = ?,
bool train = True,
float eps = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
17 Tensor<[1, 96, 130, 130]> grad_out = ?,
Tensor<[1, 96, 130, 130]> input = ?,
Optional[Tensor]<[96]> weight = ?,
Optional[Tensor]<[96]> running_mean = ?,
Optional[Tensor]<[96]> running_var = ?,
Optional[Tensor]<[96]> save_mean = ?,
Optional[Tensor]<[96]> save_invstd = ?,
bool train = True,
float eps = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
18 Tensor<[1, 96, 65, 65]> grad_out = ?,
Tensor<[1, 96, 65, 65]> input = ?,
Optional[Tensor]<[96]> weight = ?,
Optional[Tensor]<[96]> running_mean = ?,
Optional[Tensor]<[96]> running_var = ?,
Optional[Tensor]<[96]> save_mean = ?,
Optional[Tensor]<[96]> save_invstd = ?,
bool train = True,
float eps = 0.001,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0

aten.sum.dim_IntList

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

aten.t.default

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

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