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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._softmax.default 1 1 0 0 ✅ 1
1 aten.add.Tensor 2 2 0 0 ✅ 1
2 aten.addmm.default 4 4 0 0 ✅ 1
3 aten.bmm.default 2 2 0 0 ✅ 1
4 aten.cat.default 1 0 0 0 ✘ 0
5 aten.clone.default 4 4 0 0 ✅ 1
6 aten.convolution.default 1 0 0 0 ✘ 0
7 aten.div.Tensor 1 0 0 0 ✘ 0
8 aten.expand.default 4 0 0 0 ✘ 0
9 aten.gelu.default 1 1 0 0 ✅ 1
10 aten.index.Tensor 1 0 0 0 ✘ 0
11 aten.mean.dim 1 1 0 0 ✅ 1
12 aten.mm.default 1 1 0 0 ✅ 1
13 aten.mul.Tensor 1 1 0 0 ✅ 1
14 aten.native_layer_norm.default 2 2 0 0 ✅ 1
15 aten.permute.default 3 3 0 0 ✅ 1
16 aten.slice.Tensor 3 1 0 0 🚧 0.33
17 aten.t.default 4 4 0 0 ✅ 1
18 aten.transpose.int 2 2 0 0 ✅ 1
19 aten.unsqueeze.default 1 1 0 0 ✅ 1
20 aten.view.default 14 6 0 8 🚧 0.43

aten._softmax.default

ATen Input Variations Status
0 Tensor<[1, 16, 197, 197]> self = ?,
int dim = -1,
bool half_to_float = False		 Done

aten.add.Tensor

ATen Input Variations Status
0 Tensor<[1, 16, 197, 197]> self = ?,
Tensor<[1, 16, 197, 197]> other = ?		 Done
1 Tensor<[1, 197, 1024]> self = ?,
Tensor<[1, 197, 1024]> other = ?		 Done

aten.addmm.default

ATen Input Variations Status
0 Tensor<[1000]> self = ?,
Tensor<[1, 1024]> mat1 = ?,
Tensor<[1024, 1000]> mat2 = ?		 Done
1 Tensor<[1024]> self = ?,
Tensor<[197, 1024]> mat1 = ?,
Tensor<[1024, 1024]> mat2 = ?		 Done
2 Tensor<[1024]> self = ?,
Tensor<[197, 4096]> mat1 = ?,
Tensor<[4096, 1024]> mat2 = ?		 Done
3 Tensor<[4096]> self = ?,
Tensor<[197, 1024]> mat1 = ?,
Tensor<[1024, 4096]> mat2 = ?		 Done

aten.bmm.default

ATen Input Variations Status
0 Tensor<[16, 197, 197]> self = ?,
Tensor<[16, 197, 64]> mat2 = ?		 Done
1 Tensor<[16, 197, 64]> self = ?,
Tensor<[16, 64, 197]> mat2 = ?		 Done

aten.cat.default

ATen Input Variations Status
0 List[Tensor] tensors = [<[1, 1, 1024]>, <[1, 196, 1024]>],
int dim = 1		 None

aten.clone.default

ATen Input Variations Status
0 Tensor<[1, 16, 197, 197]> self = ? Done
1 Tensor<[1, 197, 1024]> self = ? Done
2 Tensor<[1, 197, 16, 64]> self = ?,
Optional[int] memory_format = torch.contiguous_format		 Done
3 Tensor<[16, 197, 197]> self = ?,
Optional[int] memory_format = torch.contiguous_format		 Done

aten.convolution.default

ATen Input Variations Status
0 Tensor<[1, 3, 224, 224]> input = ?,
Tensor<[1024, 3, 16, 16]> weight = ?,
Optional[Tensor]<[1024]> bias = ?,
List[int] stride = [16, 16],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 None

aten.div.Tensor

ATen Input Variations Status
0 Tensor<[1, 16, 197, 197]> self = ?,
Tensor other = 8.0		 None

aten.expand.default

ATen Input Variations Status
0 Tensor<[1, 1, 1024]> self = ?,
List[int] size = [1, -1, -1]		 Unknown
1 Tensor<[1, 16, 197, 197]> self = ?,
List[int] size = [1, 16, 197, 197]		 Unknown
2 Tensor<[1, 16, 197, 64]> self = ?,
List[int] size = [1, 16, 197, 64]		 Unknown
3 Tensor<[1, 16, 64, 197]> self = ?,
List[int] size = [1, 16, 64, 197]		 Unknown

aten.gelu.default

ATen Input Variations Status
0 Tensor<[1, 197, 4096]> self = ? Done

aten.index.Tensor

ATen Input Variations Status
0 Tensor<[732, 16]> self = ?,
List[Optional[Tensor]] indices = [<[38809]>]		 None

aten.mean.dim

ATen Input Variations Status
0 Tensor<[1, 196, 1024]> self = ?,
Optional[List[int]] dim = [1]		 Done

aten.mm.default

ATen Input Variations Status
0 Tensor<[197, 1024]> self = ?,
Tensor<[1024, 1024]> mat2 = ?		 Done

aten.mul.Tensor

ATen Input Variations Status
0 Tensor<[1024]> self = ?,
Tensor<[1, 197, 1024]> other = ?		 Done

aten.native_layer_norm.default

ATen Input Variations Status
0 Tensor<[1, 1024]> input = ?,
List[int] normalized_shape = [1024],
Optional[Tensor]<[1024]> weight = ?,
Optional[Tensor]<[1024]> bias = ?,
float eps = 1e-12		 Done
1 Tensor<[1, 197, 1024]> input = ?,
List[int] normalized_shape = [1024],
Optional[Tensor]<[1024]> weight = ?,
Optional[Tensor]<[1024]> bias = ?,
float eps = 1e-12		 Done

aten.permute.default

ATen Input Variations Status
0 Tensor<[1, 16, 197, 64]> self = ?,
List[int] dims = [0, 2, 1, 3]		 Done
1 Tensor<[1, 197, 16, 64]> self = ?,
List[int] dims = [0, 2, 1, 3]		 Done
2 Tensor<[197, 197, 16]> self = ?,
List[int] dims = [2, 0, 1]		 Done

aten.slice.Tensor

ATen Input Variations Status
0 Tensor<[1, 196, 1024]> self = ?,
int dim = 2,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Unknown
1 Tensor<[1, 197, 1024]> self = ?,
int dim = 0,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Unknown
2 Tensor<[1, 197, 1024]> self = ?,
int dim = 1,
Optional[int] start = 1,
Optional[int] end = 9223372036854775807		 Done

aten.t.default

ATen Input Variations Status
0 Tensor<[1000, 1024]> self = ? Done
1 Tensor<[1024, 1024]> self = ? Done
2 Tensor<[1024, 4096]> self = ? Done
3 Tensor<[4096, 1024]> self = ? Done

aten.transpose.int

ATen Input Variations Status
0 Tensor<[1, 1024, 196]> self = ?,
int dim0 = 1,
int dim1 = 2		 Done
1 Tensor<[1, 16, 197, 64]> self = ?,
int dim0 = -1,
int dim1 = -2		 Done

aten.unsqueeze.default

ATen Input Variations Status
0 Tensor<[16, 197, 197]> self = ?,
int dim = 0		 Done

aten.view.default

ATen Input Variations Status
0 Tensor<[1, 1024, 14, 14]> self = ?,
List[int] size = [1, 1024, 196]		 Fallback
1 Tensor<[1, 16, 197, 197]> self = ?,
List[int] size = [16, 197, 197]		 Fallback
2 Tensor<[1, 16, 197, 64]> self = ?,
List[int] size = [16, 197, 64]		 Done
3 Tensor<[1, 16, 64, 197]> self = ?,
List[int] size = [16, 64, 197]		 Fallback
4 Tensor<[1, 197, 1024]> self = ?,
List[int] size = [1, 197, 16, 64]		 Fallback
5 Tensor<[1, 197, 1024]> self = ?,
List[int] size = [197, 1024]		 Done
6 Tensor<[1, 197, 16, 64]> self = ?,
List[int] size = [1, 197, 1024]		 Fallback
7 Tensor<[1, 197, 4096]> self = ?,
List[int] size = [197, 4096]		 Done
8 Tensor<[16, 197, 197]> self = ?,
List[int] size = [1, 16, 197, 197]		 Fallback
9 Tensor<[16, 197, 64]> self = ?,
List[int] size = [1, 16, 197, 64]		 Done
10 Tensor<[197, 1024]> self = ?,
List[int] size = [1, 197, 1024]		 Done
11 Tensor<[197, 197]> self = ?,
List[int] size = [-1]		 Fallback
12 Tensor<[197, 4096]> self = ?,
List[int] size = [1, 197, 4096]		 Done
13 Tensor<[38809, 16]> self = ?,
List[int] size = [197, 197, -1]		 Fallback