Skip to content

Latest commit

 

History

History
121 lines (120 loc) · 22.1 KB

input_variations.md

File metadata and controls

121 lines (120 loc) · 22.1 KB

High Level Operations Status

Operations Input Variations Converted Removed Fallback Completed Score
0 aten._native_batch_norm_legit_no_training.default 9 9 0 0 1
1 aten.add.Tensor 4 4 0 0 1
2 aten.addmm.default 1 1 0 0 1
3 aten.convolution.default 34 34 0 0 1
4 aten.mean.dim 4 4 0 0 1
5 aten.mul.Tensor 4 4 0 0 1
6 aten.relu.default 14 14 0 0 1
7 aten.sigmoid.default 4 4 0 0 1
8 aten.t.default 1 1 0 0 1
9 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, 104, 28, 28]> input = ?,
Optional[Tensor]<[104]> weight = ?,
Optional[Tensor]<[104]> bias = ?,
Tensor<[104]> running_mean = ?,
Tensor<[104]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05
Done Done 0.999993 5
1 Tensor<[1, 104, 56, 56]> input = ?,
Optional[Tensor]<[104]> weight = ?,
Optional[Tensor]<[104]> bias = ?,
Tensor<[104]> running_mean = ?,
Tensor<[104]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05
Done Done 0.999989 5
2 Tensor<[1, 208, 14, 14]> input = ?,
Optional[Tensor]<[208]> weight = ?,
Optional[Tensor]<[208]> bias = ?,
Tensor<[208]> running_mean = ?,
Tensor<[208]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05
Done Done 0.999983 5
3 Tensor<[1, 208, 28, 28]> input = ?,
Optional[Tensor]<[208]> weight = ?,
Optional[Tensor]<[208]> bias = ?,
Tensor<[208]> running_mean = ?,
Tensor<[208]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05
Done Done 0.99999 5
4 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 0.999989 5
5 Tensor<[1, 440, 14, 14]> input = ?,
Optional[Tensor]<[440]> weight = ?,
Optional[Tensor]<[440]> bias = ?,
Tensor<[440]> running_mean = ?,
Tensor<[440]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05
Done Done 0.99999 5
6 Tensor<[1, 440, 7, 7]> input = ?,
Optional[Tensor]<[440]> weight = ?,
Optional[Tensor]<[440]> bias = ?,
Tensor<[440]> running_mean = ?,
Tensor<[440]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05
Done Done 0.999992 5
7 Tensor<[1, 48, 112, 112]> input = ?,
Optional[Tensor]<[48]> weight = ?,
Optional[Tensor]<[48]> bias = ?,
Tensor<[48]> running_mean = ?,
Tensor<[48]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05
Done Done 0.999989 5
8 Tensor<[1, 48, 56, 56]> input = ?,
Optional[Tensor]<[48]> weight = ?,
Optional[Tensor]<[48]> bias = ?,
Tensor<[48]> running_mean = ?,
Tensor<[48]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05
Done Done 0.999993 5

aten.add.Tensor

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 104, 28, 28]> self = ?,
Tensor<[1, 104, 28, 28]> other = ?
Done Done 0.999998 0
1 Tensor<[1, 208, 14, 14]> self = ?,
Tensor<[1, 208, 14, 14]> other = ?
Done Done 0.999998 0
2 Tensor<[1, 440, 7, 7]> self = ?,
Tensor<[1, 440, 7, 7]> other = ?
Done Done 0.999998 0
3 Tensor<[1, 48, 56, 56]> self = ?,
Tensor<[1, 48, 56, 56]> other = ?
Done Done 0.999998 0

aten.addmm.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1000]> self = ?,
Tensor<[1, 440]> mat1 = ?,
Tensor<[440, 1000]> mat2 = ?
Done Done 0.999971 0

aten.convolution.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 104, 1, 1]> input = ?,
Tensor<[12, 104, 1, 1]> weight = ?,
Optional[Tensor]<[12]> 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 6
1 Tensor<[1, 104, 1, 1]> input = ?,
Tensor<[26, 104, 1, 1]> weight = ?,
Optional[Tensor]<[26]> 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 6
2 Tensor<[1, 104, 28, 28]> input = ?,
Tensor<[104, 104, 1, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1
Done Done 0.999981 4
3 Tensor<[1, 104, 28, 28]> input = ?,
Tensor<[104, 8, 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 = 13
Done Done 0.99998 4
4 Tensor<[1, 104, 28, 28]> input = ?,
Tensor<[208, 104, 1, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1
Done Done 0.999981 4
5 Tensor<[1, 104, 28, 28]> input = ?,
Tensor<[208, 104, 1, 1]> 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 0.999982 4
6 Tensor<[1, 104, 56, 56]> input = ?,
Tensor<[104, 8, 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 = 13
Done Done 0.99998 4
7 Tensor<[1, 110, 1, 1]> input = ?,
Tensor<[440, 110, 1, 1]> weight = ?,
Optional[Tensor]<[440]> 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 6
8 Tensor<[1, 12, 1, 1]> input = ?,
Tensor<[104, 12, 1, 1]> weight = ?,
Optional[Tensor]<[104]> 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 6
9 Tensor<[1, 208, 1, 1]> input = ?,
Tensor<[26, 208, 1, 1]> weight = ?,
Optional[Tensor]<[26]> bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1
Done Done 0.999969 6
10 Tensor<[1, 208, 1, 1]> input = ?,
Tensor<[52, 208, 1, 1]> weight = ?,
Optional[Tensor]<[52]> 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 6
11 Tensor<[1, 208, 14, 14]> input = ?,
Tensor<[208, 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 0.999982 4
12 Tensor<[1, 208, 14, 14]> input = ?,
Tensor<[208, 8, 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 = 26
Done Done 0.999981 4
13 Tensor<[1, 208, 14, 14]> input = ?,
Tensor<[440, 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 0.999982 4
14 Tensor<[1, 208, 14, 14]> input = ?,
Tensor<[440, 208, 1, 1]> 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 0.999972 4
15 Tensor<[1, 208, 28, 28]> input = ?,
Tensor<[208, 8, 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 = 26
Done Done 0.999981 4
16 Tensor<[1, 26, 1, 1]> input = ?,
Tensor<[104, 26, 1, 1]> weight = ?,
Optional[Tensor]<[104]> bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1
Done Done 0.999986 6
17 Tensor<[1, 26, 1, 1]> input = ?,
Tensor<[208, 26, 1, 1]> weight = ?,
Optional[Tensor]<[208]> bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1
Done Done 0.999991 6
18 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 0.999981 4
19 Tensor<[1, 32, 112, 112]> input = ?,
Tensor<[48, 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 4
20 Tensor<[1, 32, 112, 112]> input = ?,
Tensor<[48, 32, 1, 1]> 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 0.999991 4
21 Tensor<[1, 440, 1, 1]> input = ?,
Tensor<[110, 440, 1, 1]> weight = ?,
Optional[Tensor]<[110]> bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1
Done Done 0.999969 6
22 Tensor<[1, 440, 1, 1]> input = ?,
Tensor<[52, 440, 1, 1]> weight = ?,
Optional[Tensor]<[52]> bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1
Done Done 0.999987 6
23 Tensor<[1, 440, 14, 14]> input = ?,
Tensor<[440, 8, 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 = 55
Done Done 0.999981 4
24 Tensor<[1, 440, 7, 7]> input = ?,
Tensor<[440, 440, 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 0.999975 4
25 Tensor<[1, 440, 7, 7]> input = ?,
Tensor<[440, 8, 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 = 55
Done Done 0.999982 4
26 Tensor<[1, 48, 1, 1]> input = ?,
Tensor<[8, 48, 1, 1]> weight = ?,
Optional[Tensor]<[8]> bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1
Done Done 0.999988 6
27 Tensor<[1, 48, 112, 112]> input = ?,
Tensor<[48, 8, 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 = 6
Done Done 0.99998 4
28 Tensor<[1, 48, 56, 56]> input = ?,
Tensor<[104, 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 0.999988 4
29 Tensor<[1, 48, 56, 56]> input = ?,
Tensor<[104, 48, 1, 1]> 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 0.99999 4
30 Tensor<[1, 48, 56, 56]> input = ?,
Tensor<[48, 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 0.999988 4
31 Tensor<[1, 52, 1, 1]> input = ?,
Tensor<[208, 52, 1, 1]> weight = ?,
Optional[Tensor]<[208]> 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 6
32 Tensor<[1, 52, 1, 1]> input = ?,
Tensor<[440, 52, 1, 1]> weight = ?,
Optional[Tensor]<[440]> bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1
Done Done 0.999988 6
33 Tensor<[1, 8, 1, 1]> input = ?,
Tensor<[48, 8, 1, 1]> weight = ?,
Optional[Tensor]<[48]> 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 6

aten.mean.dim

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 104, 28, 28]> self = ?,
Optional[List[int]] dim = [-1, -2],
bool keepdim = True
Done Done 0.999995 0
1 Tensor<[1, 208, 14, 14]> self = ?,
Optional[List[int]] dim = [-1, -2],
bool keepdim = True
Done Done 0.999996 0
2 Tensor<[1, 440, 7, 7]> self = ?,
Optional[List[int]] dim = [-1, -2],
bool keepdim = True
Done Done 0.999996 0
3 Tensor<[1, 48, 56, 56]> self = ?,
Optional[List[int]] dim = [-1, -2],
bool keepdim = True
Done Done 0.999996 0

aten.mul.Tensor

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 104, 1, 1]> self = ?,
Tensor<[1, 104, 28, 28]> other = ?
Done Done 0.999996 0
1 Tensor<[1, 208, 1, 1]> self = ?,
Tensor<[1, 208, 14, 14]> other = ?
Done Done 0.999996 0
2 Tensor<[1, 440, 1, 1]> self = ?,
Tensor<[1, 440, 7, 7]> other = ?
Done Done 0.999996 0
3 Tensor<[1, 48, 1, 1]> self = ?,
Tensor<[1, 48, 56, 56]> other = ?
Done Done 0.999995 0

aten.relu.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 104, 28, 28]> self = ? Done Done 1 0
1 Tensor<[1, 104, 56, 56]> self = ? Done Done 1 0
2 Tensor<[1, 110, 1, 1]> self = ? Done Done 1 0
3 Tensor<[1, 12, 1, 1]> self = ? Done Done 1 0
4 Tensor<[1, 208, 14, 14]> self = ? Done Done 1 0
5 Tensor<[1, 208, 28, 28]> self = ? Done Done 1 0
6 Tensor<[1, 26, 1, 1]> self = ? Done Done 1 0
7 Tensor<[1, 32, 112, 112]> self = ? Done Done 1 0
8 Tensor<[1, 440, 14, 14]> self = ? Done Done 1 0
9 Tensor<[1, 440, 7, 7]> self = ? Done Done 1 0
10 Tensor<[1, 48, 112, 112]> self = ? Done Done 1 0
11 Tensor<[1, 48, 56, 56]> self = ? Done Done 1 0
12 Tensor<[1, 52, 1, 1]> self = ? Done Done 1 0
13 Tensor<[1, 8, 1, 1]> self = ? Done Done 1 0

aten.sigmoid.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 104, 1, 1]> self = ? Done Done 0.999819 0
1 Tensor<[1, 208, 1, 1]> self = ? Done Done 0.999769 0
2 Tensor<[1, 440, 1, 1]> self = ? Done Done 0.999752 0
3 Tensor<[1, 48, 1, 1]> self = ? Done Done 0.999661 0

aten.t.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1000, 440]> self = ? Done Done 1 0

aten.view.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 440, 1, 1]> self = ?,
List[int] size = [1, 440]
Done Done 1 -1