Skip to content

Latest commit

 

History

History
54 lines (53 loc) · 9.4 KB

input_variations.md

File metadata and controls

54 lines (53 loc) · 9.4 KB

High Level Operations Status

Operations Input Variations Converted Removed Fallback Completed Score
0 aten.convolution.default 4 4 0 0 ✅ 1
1 aten.convolution_backward.default 4 0 0 0 ✘ 0
2 aten.detach.default 3 0 3 0 ✅ 1
3 aten.max_pool2d_with_indices.default 2 0 0 0 ✘ 0
4 aten.max_pool2d_with_indices_backward.default 2 0 0 0 ✘ 0
5 aten.relu.default 3 3 0 0 ✅ 1
6 aten.threshold_backward.default 3 0 0 0 ✘ 0

aten.convolution.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1, 28, 28]> input = ?,
Tensor<[16, 1, 3, 3]> weight = ?,
Optional[Tensor]<[16]> 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		 Done Done 0.999984 1
1 Tensor<[1, 16, 14, 14]> input = ?,
Tensor<[16, 1, 2, 2]> weight = ?,
Optional[Tensor]<[1]> 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		 Done Done 0.999993 1
2 Tensor<[1, 16, 14, 14]> input = ?,
Tensor<[4, 16, 3, 3]> weight = ?,
Optional[Tensor]<[4]> 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		 Done Done 0.999981 1
3 Tensor<[1, 4, 7, 7]> input = ?,
Tensor<[4, 16, 2, 2]> weight = ?,
Optional[Tensor]<[16]> 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		 Done Done 0.999994 1

aten.convolution_backward.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1, 28, 28]> grad_output = ?,
Tensor<[1, 16, 14, 14]> input = ?,
Tensor<[16, 1, 2, 2]> weight = ?,
Optional[List[int]] bias_sizes = [1],
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,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
1 Tensor<[1, 16, 14, 14]> grad_output = ?,
Tensor<[1, 4, 7, 7]> input = ?,
Tensor<[4, 16, 2, 2]> weight = ?,
Optional[List[int]] bias_sizes = [16],
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,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
2 Tensor<[1, 16, 28, 28]> grad_output = ?,
Tensor<[1, 1, 28, 28]> input = ?,
Tensor<[16, 1, 3, 3]> weight = ?,
Optional[List[int]] bias_sizes = [16],
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,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0
3 Tensor<[1, 4, 14, 14]> grad_output = ?,
Tensor<[1, 16, 14, 14]> input = ?,
Tensor<[4, 16, 3, 3]> weight = ?,
Optional[List[int]] bias_sizes = [4],
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,
List[bool] output_mask = [True, True, True]		 None Fallback 1 0

aten.detach.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 16, 14, 14]> self = ? Removed Done 1 -1
1 Tensor<[1, 16, 28, 28]> self = ? Removed Done 1 -1
2 Tensor<[1, 4, 14, 14]> self = ? Removed Done 1 -1

aten.max_pool2d_with_indices.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 16, 28, 28]> self = ?,
List[int] kernel_size = [2, 2],
List[int] stride = [2, 2]		 None Fallback 1 0
1 Tensor<[1, 4, 14, 14]> self = ?,
List[int] kernel_size = [2, 2],
List[int] stride = [2, 2]		 None Fallback 1 0

aten.max_pool2d_with_indices_backward.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 16, 14, 14]> grad_output = ?,
Tensor<[1, 16, 28, 28]> self = ?,
List[int] kernel_size = [2, 2],
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool ceil_mode = False,
Tensor<[1, 16, 14, 14]> indices = ?		 None Unknown N/A N/A
1 Tensor<[1, 4, 7, 7]> grad_output = ?,
Tensor<[1, 4, 14, 14]> self = ?,
List[int] kernel_size = [2, 2],
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool ceil_mode = False,
Tensor<[1, 4, 7, 7]> indices = ?		 None Unknown N/A N/A

aten.relu.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 16, 14, 14]> self = ? Done Done 1 0
1 Tensor<[1, 16, 28, 28]> self = ? Done Done 1 0
2 Tensor<[1, 4, 14, 14]> self = ? Done Done 1 0

aten.threshold_backward.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 16, 14, 14]> grad_output = ?,
Tensor<[1, 16, 14, 14]> self = ?,
number threshold = 0		 None Fallback 1 -1
1 Tensor<[1, 16, 28, 28]> grad_output = ?,
Tensor<[1, 16, 28, 28]> self = ?,
number threshold = 0		 None Fallback 1 -1
2 Tensor<[1, 4, 14, 14]> grad_output = ?,
Tensor<[1, 4, 14, 14]> self = ?,
number threshold = 0		 None Fallback 1 -1