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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._adaptive_avg_pool2d.default 1 1 0 0 ✅ 1
1 aten._native_batch_norm_legit_no_training.default 5 0 0 0 ✘ 0
2 aten.addmm.default 3 3 0 0 ✅ 1
3 aten.clone.default 1 1 0 0 ✅ 1
4 aten.convolution.default 7 0 0 0 ✘ 0
5 aten.max_pool2d_with_indices.default 5 0 0 0 ✘ 0
6 aten.relu.default 6 6 0 0 ✅ 1
7 aten.t.default 3 3 0 0 ✅ 1
8 aten.view.default 1 0 0 1 ✘ 0

aten._adaptive_avg_pool2d.default

ATen Input Variations Status
0 Tensor<[1, 512, 7, 7]> self = ?,
List[int] output_size = [7, 7]		 Done

aten._native_batch_norm_legit_no_training.default

ATen Input Variations Status
0 Tensor<[1, 128, 112, 112]> input = ?,
Optional[Tensor]<[128]> weight = ?,
Optional[Tensor]<[128]> bias = ?,
Tensor<[128]> running_mean = ?,
Tensor<[128]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 None
1 Tensor<[1, 256, 56, 56]> input = ?,
Optional[Tensor]<[256]> weight = ?,
Optional[Tensor]<[256]> bias = ?,
Tensor<[256]> running_mean = ?,
Tensor<[256]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 None
2 Tensor<[1, 512, 14, 14]> input = ?,
Optional[Tensor]<[512]> weight = ?,
Optional[Tensor]<[512]> bias = ?,
Tensor<[512]> running_mean = ?,
Tensor<[512]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 None
3 Tensor<[1, 512, 28, 28]> input = ?,
Optional[Tensor]<[512]> weight = ?,
Optional[Tensor]<[512]> bias = ?,
Tensor<[512]> running_mean = ?,
Tensor<[512]> running_var = ?,
float momentum = 0.1,
float eps = 1e-05		 None
4 Tensor<[1, 64, 224, 224]> 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		 None

aten.addmm.default

ATen Input Variations Status
0 Tensor<[1000]> self = ?,
Tensor<[1, 4096]> mat1 = ?,
Tensor<[4096, 1000]> mat2 = ?		 Done
1 Tensor<[4096]> self = ?,
Tensor<[1, 25088]> mat1 = ?,
Tensor<[25088, 4096]> mat2 = ?		 Done
2 Tensor<[4096]> self = ?,
Tensor<[1, 4096]> mat1 = ?,
Tensor<[4096, 4096]> mat2 = ?		 Done

aten.clone.default

ATen Input Variations Status
0 Tensor<[1, 4096]> self = ? Done

aten.convolution.default

ATen Input Variations Status
0 Tensor<[1, 128, 56, 56]> input = ?,
Tensor<[256, 128, 3, 3]> weight = ?,
Optional[Tensor]<[256]> 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, 256, 28, 28]> input = ?,
Tensor<[512, 256, 3, 3]> weight = ?,
Optional[Tensor]<[512]> 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, 256, 56, 56]> input = ?,
Tensor<[256, 256, 3, 3]> weight = ?,
Optional[Tensor]<[256]> 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, 3, 224, 224]> input = ?,
Tensor<[64, 3, 3, 3]> weight = ?,
Optional[Tensor]<[64]> 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
4 Tensor<[1, 512, 14, 14]> input = ?,
Tensor<[512, 512, 3, 3]> weight = ?,
Optional[Tensor]<[512]> 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, 512, 28, 28]> input = ?,
Tensor<[512, 512, 3, 3]> weight = ?,
Optional[Tensor]<[512]> 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
6 Tensor<[1, 64, 112, 112]> input = ?,
Tensor<[128, 64, 3, 3]> weight = ?,
Optional[Tensor]<[128]> 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, 112, 112]> self = ?,
List[int] kernel_size = [2, 2],
List[int] stride = [2, 2]		 None
1 Tensor<[1, 256, 56, 56]> self = ?,
List[int] kernel_size = [2, 2],
List[int] stride = [2, 2]		 None
2 Tensor<[1, 512, 14, 14]> self = ?,
List[int] kernel_size = [2, 2],
List[int] stride = [2, 2]		 None
3 Tensor<[1, 512, 28, 28]> self = ?,
List[int] kernel_size = [2, 2],
List[int] stride = [2, 2]		 None
4 Tensor<[1, 64, 224, 224]> self = ?,
List[int] kernel_size = [2, 2],
List[int] stride = [2, 2]		 None

aten.relu.default

ATen Input Variations Status
0 Tensor<[1, 128, 112, 112]> self = ? Done
1 Tensor<[1, 256, 56, 56]> self = ? Done
2 Tensor<[1, 4096]> self = ? Done
3 Tensor<[1, 512, 14, 14]> self = ? Done
4 Tensor<[1, 512, 28, 28]> self = ? Done
5 Tensor<[1, 64, 224, 224]> self = ? Done

aten.t.default

ATen Input Variations Status
0 Tensor<[1000, 4096]> self = ? Done
1 Tensor<[4096, 25088]> self = ? Done
2 Tensor<[4096, 4096]> self = ? Done

aten.view.default

ATen Input Variations Status
0 Tensor<[1, 512, 7, 7]> self = ?,
List[int] size = [1, 25088]		 Fallback