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input_variations.md

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High Level Operations Status

Operations Input Variations Converted Removed Fallback Completed Score
0 aten._native_batch_norm_legit_no_training.default 19 19 0 0 ✅ 1
1 aten.add.Tensor 5 5 0 0 ✅ 1
2 aten.addmm.default 1 1 0 0 ✅ 1
3 aten.constant_pad_nd.default 5 5 0 0 ✅ 1
4 aten.convolution.default 32 32 0 0 ✅ 1
5 aten.hardtanh.default 12 12 0 0 ✅ 1
6 aten.mean.dim 1 1 0 0 ✅ 1
7 aten.t.default 1 0 1 0 ✅ 1
8 aten.view.default 1 1 0 0 ✅ 1

aten._native_batch_norm_legit_no_training.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 120, 17, 17]> input = ?,
Optional[Tensor]<[120]> weight = ?,
Optional[Tensor]<[120]> bias = ?,
Tensor<[120]> running_mean = ?,
Tensor<[120]> running_var = ?,
float momentum = 0.1,
float eps = 0.001		 Done Done 0.99999 0
1 Tensor<[1, 1248, 9, 9]> input = ?,
Optional[Tensor]<[1248]> weight = ?,
Optional[Tensor]<[1248]> bias = ?,
Tensor<[1248]> running_mean = ?,
Tensor<[1248]> running_var = ?,
float momentum = 0.1,
float eps = 0.001		 Done Done 0.999988 0
2 Tensor<[1, 1280, 9, 9]> input = ?,
Optional[Tensor]<[1280]> weight = ?,
Optional[Tensor]<[1280]> bias = ?,
Tensor<[1280]> running_mean = ?,
Tensor<[1280]> running_var = ?,
float momentum = 0.1,
float eps = 0.001		 Done Done 0.999988 0
3 Tensor<[1, 144, 33, 33]> input = ?,
Optional[Tensor]<[144]> weight = ?,
Optional[Tensor]<[144]> bias = ?,
Tensor<[144]> running_mean = ?,
Tensor<[144]> running_var = ?,
float momentum = 0.1,
float eps = 0.001		 Done Done 0.999988 0
4 Tensor<[1, 144, 65, 65]> input = ?,
Optional[Tensor]<[144]> weight = ?,
Optional[Tensor]<[144]> bias = ?,
Tensor<[144]> running_mean = ?,
Tensor<[144]> running_var = ?,
float momentum = 0.1,
float eps = 0.001		 Done Done 0.99999 0
5 Tensor<[1, 16, 130, 130]> input = ?,
Optional[Tensor]<[16]> weight = ?,
Optional[Tensor]<[16]> bias = ?,
Tensor<[16]> running_mean = ?,
Tensor<[16]> running_var = ?,
float momentum = 0.1,
float eps = 0.001		 Done Done 0.99999 0
6 Tensor<[1, 208, 9, 9]> input = ?,
Optional[Tensor]<[208]> weight = ?,
Optional[Tensor]<[208]> bias = ?,
Tensor<[208]> running_mean = ?,
Tensor<[208]> running_var = ?,
float momentum = 0.1,
float eps = 0.001		 Done Done 0.999989 0
7 Tensor<[1, 24, 65, 65]> input = ?,
Optional[Tensor]<[24]> weight = ?,
Optional[Tensor]<[24]> bias = ?,
Tensor<[24]> running_mean = ?,
Tensor<[24]> running_var = ?,
float momentum = 0.1,
float eps = 0.001		 Done Done 0.999991 0
8 Tensor<[1, 288, 17, 17]> input = ?,
Optional[Tensor]<[288]> weight = ?,
Optional[Tensor]<[288]> bias = ?,
Tensor<[288]> running_mean = ?,
Tensor<[288]> running_var = ?,
float momentum = 0.1,
float eps = 0.001		 Done Done 0.999989 0
9 Tensor<[1, 288, 33, 33]> input = ?,
Optional[Tensor]<[288]> weight = ?,
Optional[Tensor]<[288]> bias = ?,
Tensor<[288]> running_mean = ?,
Tensor<[288]> running_var = ?,
float momentum = 0.1,
float eps = 0.001		 Done Done 0.99999 0
10 Tensor<[1, 32, 130, 130]> input = ?,
Optional[Tensor]<[32]> weight = ?,
Optional[Tensor]<[32]> bias = ?,
Tensor<[32]> running_mean = ?,
Tensor<[32]> running_var = ?,
float momentum = 0.1,
float eps = 0.001		 Done Done 0.999989 0
11 Tensor<[1, 352, 9, 9]> input = ?,
Optional[Tensor]<[352]> weight = ?,
Optional[Tensor]<[352]> bias = ?,
Tensor<[352]> running_mean = ?,
Tensor<[352]> running_var = ?,
float momentum = 0.1,
float eps = 0.001		 Done Done 0.999991 0
12 Tensor<[1, 48, 33, 33]> input = ?,
Optional[Tensor]<[48]> weight = ?,
Optional[Tensor]<[48]> bias = ?,
Tensor<[48]> running_mean = ?,
Tensor<[48]> running_var = ?,
float momentum = 0.1,
float eps = 0.001		 Done Done 0.999982 0
13 Tensor<[1, 528, 17, 17]> input = ?,
Optional[Tensor]<[528]> weight = ?,
Optional[Tensor]<[528]> bias = ?,
Tensor<[528]> running_mean = ?,
Tensor<[528]> running_var = ?,
float momentum = 0.1,
float eps = 0.001		 Done Done 0.999989 0
14 Tensor<[1, 720, 17, 17]> input = ?,
Optional[Tensor]<[720]> weight = ?,
Optional[Tensor]<[720]> bias = ?,
Tensor<[720]> running_mean = ?,
Tensor<[720]> running_var = ?,
float momentum = 0.1,
float eps = 0.001		 Done Done 0.999989 0
15 Tensor<[1, 720, 9, 9]> input = ?,
Optional[Tensor]<[720]> weight = ?,
Optional[Tensor]<[720]> bias = ?,
Tensor<[720]> running_mean = ?,
Tensor<[720]> running_var = ?,
float momentum = 0.1,
float eps = 0.001		 Done Done 0.999989 0
16 Tensor<[1, 88, 17, 17]> input = ?,
Optional[Tensor]<[88]> weight = ?,
Optional[Tensor]<[88]> bias = ?,
Tensor<[88]> running_mean = ?,
Tensor<[88]> running_var = ?,
float momentum = 0.1,
float eps = 0.001		 Done Done 0.99999 0
17 Tensor<[1, 96, 130, 130]> input = ?,
Optional[Tensor]<[96]> weight = ?,
Optional[Tensor]<[96]> bias = ?,
Tensor<[96]> running_mean = ?,
Tensor<[96]> running_var = ?,
float momentum = 0.1,
float eps = 0.001		 Done Done 0.999988 0
18 Tensor<[1, 96, 65, 65]> input = ?,
Optional[Tensor]<[96]> weight = ?,
Optional[Tensor]<[96]> bias = ?,
Tensor<[96]> running_mean = ?,
Tensor<[96]> running_var = ?,
float momentum = 0.1,
float eps = 0.001		 Done Done 0.999991 0

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 0.999962 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, 288, 33, 33]> self = ?,
List[int] pad = [1, 1, 1, 1],
number value = 0.0		 Done Done 1 0
2 Tensor<[1, 3, 260, 260]> self = ?,
List[int] pad = [0, 1, 0, 1],
number value = 0.0		 Done Done 1 0
3 Tensor<[1, 720, 17, 17]> self = ?,
List[int] pad = [2, 2, 2, 2],
number value = 0.0		 Done Done 1 0
4 Tensor<[1, 96, 130, 130]> self = ?,
List[int] pad = [0, 1, 0, 1],
number value = 0.0		 Done Done 1 0

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 0.99998 0
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 Done 0.999984 0
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 0.999966 0
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 0.9998 0
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 Done 0.999795 0
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 0.999979 0
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 0.999984 0
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 0.999979 0
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 0.999957 0
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 0.999994 0
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 0.999971 0
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 0.999991 0
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 0.99996 0
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 0.999959 0
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 0.999961 0
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 0.999984 0
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 0.999981 0
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 0.999991 0
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 0.999984 0
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 Done 0.999953 0
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 0.99999 0
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 0.999926 0
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 0.999984 0
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 0.999961 0
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 0.999929 0
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 0.999894 0
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 0.999962 0
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 0.999958 0
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 0.999897 0
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 0.999984 0
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 0.999983 0
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 0.999984 0

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.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 0.999997 0

aten.t.default

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

aten.view.default

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