Skip to content

Latest commit

 

History

History
72 lines (71 loc) · 11.7 KB

input_variations.md

File metadata and controls

72 lines (71 loc) · 11.7 KB

High Level Operations Status

Operations Input Variations Converted Removed Fallback Completed Score
0 aten._native_batch_norm_legit_functional.default 5 0 0 0 ✘ 0
1 aten.add.Tensor 1 1 0 0 ✅ 1
2 aten.cat.default 4 0 0 0 ✘ 0
3 aten.convolution.default 19 0 0 0 ✘ 0
4 aten.max_pool2d_with_indices.default 4 0 0 0 ✘ 0
5 aten.relu.default 5 5 0 0 ✅ 1
6 aten.sigmoid.default 1 1 0 0 ✅ 1

aten._native_batch_norm_legit_functional.default

ATen Input Variations Status
0 Tensor<[1, 128, 64, 64]> input = ?,
Optional[Tensor]<[128]> weight = ?,
Optional[Tensor]<[128]> bias = ?,
Tensor<[128]> running_mean = ?,
Tensor<[128]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 1e-05		 None
1 Tensor<[1, 256, 32, 32]> 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
2 Tensor<[1, 32, 256, 256]> 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 = 1e-05		 None
3 Tensor<[1, 512, 16, 16]> input = ?,
Optional[Tensor]<[512]> weight = ?,
Optional[Tensor]<[512]> bias = ?,
Tensor<[512]> running_mean = ?,
Tensor<[512]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 1e-05		 None
4 Tensor<[1, 64, 128, 128]> input = ?,
Optional[Tensor]<[64]> weight = ?,
Optional[Tensor]<[64]> bias = ?,
Tensor<[64]> running_mean = ?,
Tensor<[64]> running_var = ?,
bool training = True,
float momentum = 0.1,
float eps = 1e-05		 None

aten.add.Tensor

ATen Input Variations Status
0 Tensor<[]> self = ?,
Tensor other = 1		 Done

aten.cat.default

ATen Input Variations Status
0 List[Tensor] tensors = [<[1, 128, 64, 64]>, <[1, 128, 64, 64]>],
int dim = 1		 None
1 List[Tensor] tensors = [<[1, 256, 32, 32]>, <[1, 256, 32, 32]>],
int dim = 1		 None
2 List[Tensor] tensors = [<[1, 32, 256, 256]>, <[1, 32, 256, 256]>],
int dim = 1		 None
3 List[Tensor] tensors = [<[1, 64, 128, 128]>, <[1, 64, 128, 128]>],
int dim = 1		 None

aten.convolution.default

ATen Input Variations Status
0 Tensor<[1, 128, 128, 128]> input = ?,
Tensor<[64, 128, 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 = 1		 None
1 Tensor<[1, 128, 32, 32]> input = ?,
Tensor<[256, 128, 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 = 1		 None
2 Tensor<[1, 128, 64, 64]> input = ?,
Tensor<[128, 128, 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 = 1		 None
3 Tensor<[1, 128, 64, 64]> input = ?,
Tensor<[128, 64, 2, 2]> weight = ?,
Optional[Tensor]<[64]> bias = ?,
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = True,
List[int] output_padding = [0, 0],
int groups = 1		 None
4 Tensor<[1, 256, 16, 16]> input = ?,
Tensor<[512, 256, 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 = 1		 None
5 Tensor<[1, 256, 32, 32]> input = ?,
Tensor<[256, 128, 2, 2]> weight = ?,
Optional[Tensor]<[128]> bias = ?,
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = True,
List[int] output_padding = [0, 0],
int groups = 1		 None
6 Tensor<[1, 256, 32, 32]> input = ?,
Tensor<[256, 256, 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 = 1		 None
7 Tensor<[1, 256, 64, 64]> input = ?,
Tensor<[128, 256, 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 = 1		 None
8 Tensor<[1, 3, 256, 256]> input = ?,
Tensor<[32, 3, 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 = 1		 None
9 Tensor<[1, 32, 128, 128]> input = ?,
Tensor<[64, 32, 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 = 1		 None
10 Tensor<[1, 32, 256, 256]> input = ?,
Tensor<[1, 32, 1, 1]> weight = ?,
Optional[Tensor]<[1]> 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		 None
11 Tensor<[1, 32, 256, 256]> input = ?,
Tensor<[32, 32, 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 = 1		 None
12 Tensor<[1, 512, 16, 16]> input = ?,
Tensor<[512, 256, 2, 2]> weight = ?,
Optional[Tensor]<[256]> bias = ?,
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = True,
List[int] output_padding = [0, 0],
int groups = 1		 None
13 Tensor<[1, 512, 16, 16]> input = ?,
Tensor<[512, 512, 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 = 1		 None
14 Tensor<[1, 512, 32, 32]> input = ?,
Tensor<[256, 512, 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 = 1		 None
15 Tensor<[1, 64, 128, 128]> input = ?,
Tensor<[64, 32, 2, 2]> weight = ?,
Optional[Tensor]<[32]> bias = ?,
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = True,
List[int] output_padding = [0, 0],
int groups = 1		 None
16 Tensor<[1, 64, 128, 128]> input = ?,
Tensor<[64, 64, 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 = 1		 None
17 Tensor<[1, 64, 256, 256]> input = ?,
Tensor<[32, 64, 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 = 1		 None
18 Tensor<[1, 64, 64, 64]> input = ?,
Tensor<[128, 64, 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 = 1		 None

aten.max_pool2d_with_indices.default

ATen Input Variations Status
0 Tensor<[1, 128, 64, 64]> self = ?,
List[int] kernel_size = [2, 2],
List[int] stride = [2, 2]		 None
1 Tensor<[1, 256, 32, 32]> self = ?,
List[int] kernel_size = [2, 2],
List[int] stride = [2, 2]		 None
2 Tensor<[1, 32, 256, 256]> self = ?,
List[int] kernel_size = [2, 2],
List[int] stride = [2, 2]		 None
3 Tensor<[1, 64, 128, 128]> self = ?,
List[int] kernel_size = [2, 2],
List[int] stride = [2, 2]		 None

aten.relu.default

ATen Input Variations Status
0 Tensor<[1, 128, 64, 64]> self = ? Done
1 Tensor<[1, 256, 32, 32]> self = ? Done
2 Tensor<[1, 32, 256, 256]> self = ? Done
3 Tensor<[1, 512, 16, 16]> self = ? Done
4 Tensor<[1, 64, 128, 128]> self = ? Done

aten.sigmoid.default

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