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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.clone.default 1 0 1 0 ✅ 1
4 aten.convolution.default 30 30 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 1 0 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, 1280, 7, 7]> input = ?,
Optional[Tensor]<[1280]> weight = ?,
Optional[Tensor]<[1280]> bias = ?,
Tensor<[1280]> running_mean = ?,
Tensor<[1280]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.999989 0
1 Tensor<[1, 144, 28, 28]> input = ?,
Optional[Tensor]<[144]> weight = ?,
Optional[Tensor]<[144]> bias = ?,
Tensor<[144]> running_mean = ?,
Tensor<[144]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.999987 0
2 Tensor<[1, 144, 56, 56]> input = ?,
Optional[Tensor]<[144]> weight = ?,
Optional[Tensor]<[144]> bias = ?,
Tensor<[144]> running_mean = ?,
Tensor<[144]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.999991 0
3 Tensor<[1, 16, 112, 112]> input = ?,
Optional[Tensor]<[16]> weight = ?,
Optional[Tensor]<[16]> bias = ?,
Tensor<[16]> running_mean = ?,
Tensor<[16]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.999988 0
4 Tensor<[1, 160, 7, 7]> input = ?,
Optional[Tensor]<[160]> weight = ?,
Optional[Tensor]<[160]> bias = ?,
Tensor<[160]> running_mean = ?,
Tensor<[160]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.999992 0
5 Tensor<[1, 192, 14, 14]> input = ?,
Optional[Tensor]<[192]> weight = ?,
Optional[Tensor]<[192]> bias = ?,
Tensor<[192]> running_mean = ?,
Tensor<[192]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.999986 0
6 Tensor<[1, 192, 28, 28]> input = ?,
Optional[Tensor]<[192]> weight = ?,
Optional[Tensor]<[192]> bias = ?,
Tensor<[192]> running_mean = ?,
Tensor<[192]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.999992 0
7 Tensor<[1, 24, 56, 56]> input = ?,
Optional[Tensor]<[24]> weight = ?,
Optional[Tensor]<[24]> bias = ?,
Tensor<[24]> running_mean = ?,
Tensor<[24]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.99999 0
8 Tensor<[1, 32, 112, 112]> input = ?,
Optional[Tensor]<[32]> weight = ?,
Optional[Tensor]<[32]> bias = ?,
Tensor<[32]> running_mean = ?,
Tensor<[32]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.999987 0
9 Tensor<[1, 32, 28, 28]> input = ?,
Optional[Tensor]<[32]> weight = ?,
Optional[Tensor]<[32]> bias = ?,
Tensor<[32]> running_mean = ?,
Tensor<[32]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.999985 0
10 Tensor<[1, 320, 7, 7]> input = ?,
Optional[Tensor]<[320]> weight = ?,
Optional[Tensor]<[320]> bias = ?,
Tensor<[320]> running_mean = ?,
Tensor<[320]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.999985 0
11 Tensor<[1, 384, 14, 14]> input = ?,
Optional[Tensor]<[384]> weight = ?,
Optional[Tensor]<[384]> bias = ?,
Tensor<[384]> running_mean = ?,
Tensor<[384]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.999984 0
12 Tensor<[1, 576, 14, 14]> input = ?,
Optional[Tensor]<[576]> weight = ?,
Optional[Tensor]<[576]> bias = ?,
Tensor<[576]> running_mean = ?,
Tensor<[576]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.999989 0
13 Tensor<[1, 576, 7, 7]> input = ?,
Optional[Tensor]<[576]> weight = ?,
Optional[Tensor]<[576]> bias = ?,
Tensor<[576]> running_mean = ?,
Tensor<[576]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.999992 0
14 Tensor<[1, 64, 14, 14]> input = ?,
Optional[Tensor]<[64]> weight = ?,
Optional[Tensor]<[64]> bias = ?,
Tensor<[64]> running_mean = ?,
Tensor<[64]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.999988 0
15 Tensor<[1, 96, 112, 112]> input = ?,
Optional[Tensor]<[96]> weight = ?,
Optional[Tensor]<[96]> bias = ?,
Tensor<[96]> running_mean = ?,
Tensor<[96]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.99999 0
16 Tensor<[1, 96, 14, 14]> input = ?,
Optional[Tensor]<[96]> weight = ?,
Optional[Tensor]<[96]> bias = ?,
Tensor<[96]> running_mean = ?,
Tensor<[96]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.999973 0
17 Tensor<[1, 96, 56, 56]> input = ?,
Optional[Tensor]<[96]> weight = ?,
Optional[Tensor]<[96]> bias = ?,
Tensor<[96]> running_mean = ?,
Tensor<[96]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.99999 0
18 Tensor<[1, 960, 7, 7]> input = ?,
Optional[Tensor]<[960]> weight = ?,
Optional[Tensor]<[960]> bias = ?,
Tensor<[960]> running_mean = ?,
Tensor<[960]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 Done Done 0.999988 0

aten.add.Tensor

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 160, 7, 7]> self = ?,
Tensor<[1, 160, 7, 7]> other = ?		 Done Done 0.999998 0
1 Tensor<[1, 24, 56, 56]> self = ?,
Tensor<[1, 24, 56, 56]> other = ?		 Done Done 0.999998 0
2 Tensor<[1, 32, 28, 28]> self = ?,
Tensor<[1, 32, 28, 28]> other = ?		 Done Done 0.999998 0
3 Tensor<[1, 64, 14, 14]> self = ?,
Tensor<[1, 64, 14, 14]> other = ?		 Done Done 0.999998 0
4 Tensor<[1, 96, 14, 14]> self = ?,
Tensor<[1, 96, 14, 14]> 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 0.999957 0

aten.clone.default

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

aten.convolution.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 144, 28, 28]> input = ?,
Tensor<[32, 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 0.999984 0
1 Tensor<[1, 144, 56, 56]> 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 0.999983 0
2 Tensor<[1, 144, 56, 56]> input = ?,
Tensor<[144, 1, 3, 3]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [2, 2],
List[int] padding = [1, 1],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 144		 Done Done 0.999983 0
3 Tensor<[1, 144, 56, 56]> 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 0.999984 0
4 Tensor<[1, 16, 112, 112]> 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 0.999992 0
5 Tensor<[1, 160, 7, 7]> input = ?,
Tensor<[960, 160, 1, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999982 0
6 Tensor<[1, 192, 14, 14]> input = ?,
Tensor<[64, 192, 1, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999981 0
7 Tensor<[1, 192, 28, 28]> input = ?,
Tensor<[192, 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 = 192		 Done Done 0.999984 0
8 Tensor<[1, 192, 28, 28]> input = ?,
Tensor<[192, 1, 3, 3]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [2, 2],
List[int] padding = [1, 1],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 192		 Done Done 0.999984 0
9 Tensor<[1, 192, 28, 28]> input = ?,
Tensor<[32, 192, 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 0.999977 0
10 Tensor<[1, 24, 56, 56]> 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 0.999989 0
11 Tensor<[1, 3, 224, 224]> input = ?,
Tensor<[32, 3, 3, 3]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [2, 2],
List[int] padding = [1, 1],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999982 0
12 Tensor<[1, 32, 112, 112]> 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 0.999989 0
13 Tensor<[1, 32, 112, 112]> 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
14 Tensor<[1, 32, 28, 28]> input = ?,
Tensor<[192, 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 0.99999 0
15 Tensor<[1, 320, 7, 7]> input = ?,
Tensor<[1280, 320, 1, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999974 0
16 Tensor<[1, 384, 14, 14]> input = ?,
Tensor<[384, 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 = 384		 Done Done 0.999984 0
17 Tensor<[1, 384, 14, 14]> input = ?,
Tensor<[64, 384, 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 0.999976 0
18 Tensor<[1, 384, 14, 14]> input = ?,
Tensor<[96, 384, 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 0.999976 0
19 Tensor<[1, 576, 14, 14]> input = ?,
Tensor<[576, 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 = 576		 Done Done 0.999984 0
20 Tensor<[1, 576, 14, 14]> input = ?,
Tensor<[576, 1, 3, 3]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [2, 2],
List[int] padding = [1, 1],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 576		 Done Done 0.999984 0
21 Tensor<[1, 576, 14, 14]> input = ?,
Tensor<[96, 576, 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 0.999972 0
22 Tensor<[1, 576, 7, 7]> input = ?,
Tensor<[160, 576, 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 0.999972 0
23 Tensor<[1, 64, 14, 14]> input = ?,
Tensor<[384, 64, 1, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999987 0
24 Tensor<[1, 96, 112, 112]> input = ?,
Tensor<[96, 1, 3, 3]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [2, 2],
List[int] padding = [1, 1],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 96		 Done Done 0.999983 0
25 Tensor<[1, 96, 14, 14]> input = ?,
Tensor<[576, 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
26 Tensor<[1, 96, 56, 56]> 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
27 Tensor<[1, 960, 7, 7]> input = ?,
Tensor<[160, 960, 1, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999964 0
28 Tensor<[1, 960, 7, 7]> input = ?,
Tensor<[320, 960, 1, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999965 0
29 Tensor<[1, 960, 7, 7]> input = ?,
Tensor<[960, 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 = 960		 Done Done 0.999985 0

aten.hardtanh.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1280, 7, 7]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
1 Tensor<[1, 144, 28, 28]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
2 Tensor<[1, 144, 56, 56]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
3 Tensor<[1, 192, 14, 14]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
4 Tensor<[1, 192, 28, 28]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
5 Tensor<[1, 32, 112, 112]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
6 Tensor<[1, 384, 14, 14]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
7 Tensor<[1, 576, 14, 14]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
8 Tensor<[1, 576, 7, 7]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
9 Tensor<[1, 96, 112, 112]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
10 Tensor<[1, 96, 56, 56]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
11 Tensor<[1, 960, 7, 7]> 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, 7, 7]> self = ?,
Optional[List[int]] dim = [-1, -2],
bool keepdim = True		 Done Done 0.999996 0

aten.t.default

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