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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._to_copy.default 4 4 0 0 ✅ 1
2 aten._unsafe_view.default 1 1 0 0 ✅ 1
3 aten.add.Tensor 4 4 0 0 ✅ 1
4 aten.addmm.default 3 3 0 0 ✅ 1
5 aten.bmm.default 3 3 0 0 ✅ 1
6 aten.clone.default 5 5 0 0 ✅ 1
7 aten.embedding.default 2 2 0 0 ✅ 1
8 aten.expand.default 4 1 3 0 ✅ 1
9 aten.gelu.default 1 1 0 0 ✅ 1
10 aten.masked_fill.Scalar 2 2 0 0 ✅ 1
11 aten.mul.Tensor 2 1 0 0 🚧 0.5
12 aten.native_layer_norm.default 1 1 0 0 ✅ 1
13 aten.rsub.Scalar 2 2 0 0 ✅ 1
14 aten.slice.Tensor 6 1 5 0 ✅ 1
15 aten.sub.Tensor 1 1 0 0 ✅ 1
16 aten.t.default 3 3 0 0 ✅ 1
17 aten.transpose.int 6 6 0 0 ✅ 1
18 aten.unsqueeze.default 3 3 0 0 ✅ 1
19 aten.view.default 15 15 0 0 ✅ 1

aten._softmax.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[12, 24, 24]> self = ?,
int dim = -1,
bool half_to_float = False		 Done Done 0.999608 0

aten._to_copy.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1, 1, 24]> self = ?,
Optional[int] dtype = torch.bfloat16		 Done Fallback 1 -1
1 Tensor<[1, 1, 1, 24]> self = ?,
Optional[int] dtype = torch.bool		 Done Fallback 1 -1
2 Tensor<[1, 1, 24, 24]> self = ?,
Optional[int] dtype = torch.bfloat16		 Done Fallback 1 -1
3 Tensor<[1, 1, 24, 24]> self = ?,
Optional[int] dtype = torch.bool		 Done Fallback 1 -1

aten._unsafe_view.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 24, 12, 64]> self = ?,
List[int] size = [1, 24, 768]		 Done Done 1 -1

aten.add.Tensor

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 12, 24, 24]> self = ?,
Tensor<[1, 1, 24, 24]> other = ?		 Done Done 0.999998 0
1 Tensor<[1, 24, 768]> self = ?,
Tensor<[1, 24, 768]> other = ?		 Done Done 0.999998 0
2 Tensor<[12, 24, 24]> self = ?,
Tensor<[12, 24, 24]> other = ?		 Done Done 0.999998 0
3 Tensor<[24, 24]> self = ?,
Tensor other = 160		 Done Done 0.976318 0

aten.addmm.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[3072]> self = ?,
Tensor<[24, 768]> mat1 = ?,
Tensor<[768, 3072]> mat2 = ?		 Done Done 0.999967 0
1 Tensor<[768]> self = ?,
Tensor<[24, 3072]> mat1 = ?,
Tensor<[3072, 768]> mat2 = ?		 Done Done 0.999943 0
2 Tensor<[768]> self = ?,
Tensor<[24, 768]> mat1 = ?,
Tensor<[768, 768]> mat2 = ?		 Done Done 0.999968 0

aten.bmm.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[12, 24, 24]> self = ?,
Tensor<[12, 24, 64]> mat2 = ?		 Done Done 0.999991 0
1 Tensor<[12, 24, 64]> self = ?,
Tensor<[12, 64, 24]> mat2 = ?		 Done Done 0.999988 0
2 Tensor<[24, 12, 64]> self = ?,
Tensor<[24, 64, 24]> mat2 = ?		 Done Done 0.999988 0

aten.clone.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 12, 24, 64]> self = ?,
Optional[int] memory_format = torch.contiguous_format		 Done Done 1 0
1 Tensor<[1, 24, 12, 64]> self = ?,
Optional[int] memory_format = torch.contiguous_format		 Done Done 1 0
2 Tensor<[1, 24, 3072]> self = ? Done Done 1 0
3 Tensor<[1, 24, 768]> self = ? Done Done 1 0
4 Tensor<[12, 24, 24]> self = ? Done Done 1 0

aten.embedding.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[320, 64]> weight = ?,
Tensor<[24, 24]> indices = ?		 Done Done 1 0
1 Tensor<[81, 768]> weight = ?,
Tensor<[1, 24]> indices = ?,
int padding_idx = 1		 Done Done 1 0

aten.expand.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1, 1, 24]> self = ?,
List[int] size = [1, 1, 1, 24]		 Removed Done 1 -1
1 Tensor<[1, 1, 1, 24]> self = ?,
List[int] size = [1, 1, 24, 24]		 Done Done 1 2
2 Tensor<[24, 12, 64]> self = ?,
List[int] size = [24, 12, 64]		 Removed Done 1 -1
3 Tensor<[24, 64, 24]> self = ?,
List[int] size = [24, 64, 24]		 Removed Done 1 -1

aten.gelu.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 24, 3072]> self = ? Done Done 0.999991 0

aten.masked_fill.Scalar

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1, 1, 24]> self = ?,
Tensor<[1, 1, 1, 24]> mask = ?,
number value = -3.3895313892515355e+38		 Done Done 1 0
1 Tensor<[1, 1, 24, 24]> self = ?,
Tensor<[1, 1, 24, 24]> mask = ?,
number value = -3.3895313892515355e+38		 Done Done 1 0

aten.mul.Tensor

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 24, 768]> self = ?,
Tensor other = 0.125		 Done Done 1 0
1 Tensor<[]> self = ?,
Tensor<[1, 24, 768]> other = ?		 None Fallback 1 -1

aten.native_layer_norm.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 24, 768]> input = ?,
List[int] normalized_shape = [768],
Optional[Tensor]<[768]> weight = ?,
Optional[Tensor]<[768]> bias = ?,
float eps = 1e-05		 Done Done N/A 1

aten.rsub.Scalar

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1, 1, 24]> self = ?,
number other = 1.0		 Done Done 0.99999 0
1 Tensor<[1, 1, 24, 24]> self = ?,
number other = 1.0		 Done Done 0.999995 0

aten.slice.Tensor

ATen Input Variations Status Isolated PCC Host
0 Tensor self = ?,
int dim = 0,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Unknown N/A N/A
1 Tensor self = ?,
int dim = 1,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Unknown N/A N/A
2 Tensor<[1, 1, 1, 24]> self = ?,
int dim = 3,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1.0 -1
3 Tensor<[1, 24]> self = ?,
int dim = 0,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1.0 -1
4 Tensor<[1, 600, 768]> self = ?,
int dim = 0,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807		 Removed Done 1.0 -1
5 Tensor<[1, 600, 768]> self = ?,
int dim = 1,
Optional[int] start = 0,
Optional[int] end = 24		 Done Done 1.0 -1

aten.sub.Tensor

ATen Input Variations Status Isolated PCC Host
0 Tensor<[24, 1]> self = ?,
Tensor<[1, 24]> other = ?		 Done Done 0.696243 0

aten.t.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[3072, 768]> self = ? Done Done 1 0
1 Tensor<[768, 3072]> self = ? Done Done 1 0
2 Tensor<[768, 768]> self = ? Done Done 1 0

aten.transpose.int

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 12, 24, 64]> self = ?,
int dim0 = 1,
int dim1 = 2		 Done Done 1 0
1 Tensor<[1, 24, 12, 64]> self = ?,
int dim0 = 1,
int dim1 = 2		 Done Done 1 0
2 Tensor<[12, 24, 64]> self = ?,
int dim0 = 0,
int dim1 = 1		 Done Done 1 0
3 Tensor<[12, 24, 64]> self = ?,
int dim0 = 1,
int dim1 = 2		 Done Done 1 0
4 Tensor<[24, 12, 24]> self = ?,
int dim0 = 0,
int dim1 = 1		 Done Done 1 0
5 Tensor<[24, 24, 64]> self = ?,
int dim0 = -2,
int dim1 = -1		 Done Done 1 0

aten.unsqueeze.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1, 24]> self = ?,
int dim = 2		 Done Done 1 -1
1 Tensor<[1, 24]> self = ?,
int dim = 1		 Done Done 1 -1
2 Tensor<[24]> self = ?,
int dim = 1		 Done Done 1 -1

aten.view.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 12, 24, 24]> self = ?,
List[int] size = [12, 24, 24]		 Done Done 1 -1
1 Tensor<[1, 12, 24, 64]> self = ?,
List[int] size = [12, -1, 64]		 Done Done 1 -1
2 Tensor<[1, 24, 3072]> self = ?,
List[int] size = [24, 3072]		 Done Done 1 -1
3 Tensor<[1, 24, 768]> self = ?,
List[int] size = [1, -1, 12, 64]		 Done Done 1 -1
4 Tensor<[1, 24, 768]> self = ?,
List[int] size = [1, 24, 12, 64]		 Done Done 1 -1
5 Tensor<[1, 24, 768]> self = ?,
List[int] size = [24, 768]		 Done Done 1 -1
6 Tensor<[12, 24, 24]> self = ?,
List[int] size = [1, 12, 24, 24]		 Done Done 1 -1
7 Tensor<[12, 24, 24]> self = ?,
List[int] size = [12, 24, 24]		 Done Done 1 -1
8 Tensor<[12, 24, 64]> self = ?,
List[int] size = [1, 12, 24, 64]		 Done Done 1 -1
9 Tensor<[12, 24, 64]> self = ?,
List[int] size = [12, -1, 64]		 Done Done 1 -1
10 Tensor<[24, 12, 24]> self = ?,
List[int] size = [24, 12, 24]		 Done Done 1 -1
11 Tensor<[24, 12, 64]> self = ?,
List[int] size = [24, 12, 64]		 Done Done 1 -1
12 Tensor<[24, 3072]> self = ?,
List[int] size = [1, 24, 3072]		 Done Done 1 -1
13 Tensor<[24, 64, 24]> self = ?,
List[int] size = [24, 64, 24]		 Done Done 1 -1
14 Tensor<[24, 768]> self = ?,
List[int] size = [1, 24, 768]		 Done Done 1 -1