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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 1 3 0 1
2 aten.add.Tensor 4 4 0 0 1
3 aten.addmm.default 4 4 0 0 1
4 aten.bmm.default 2 2 0 0 1
5 aten.clone.default 3 3 0 0 1
6 aten.cumsum.default 1 1 0 0 1
7 aten.div.Tensor 1 1 0 0 1
8 aten.embedding.default 3 3 0 0 1
9 aten.expand.default 4 0 4 0 1
10 aten.gelu.default 2 2 0 0 1
11 aten.mul.Tensor 2 2 0 0 1
12 aten.native_layer_norm.default 1 1 0 0 1
13 aten.ne.Scalar 1 1 0 0 1
14 aten.permute.default 2 2 0 0 1
15 aten.rsub.Scalar 1 1 0 0 1
16 aten.slice.Tensor 4 1 3 0 1
17 aten.t.default 4 4 0 0 1
18 aten.transpose.int 1 1 0 0 1
19 aten.unsqueeze.default 2 2 0 0 1
20 aten.view.default 12 12 0 0 1

aten._softmax.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 12, 10, 10]> self = ?,
int dim = -1,
bool half_to_float = False
Done Done 0.999638 0

aten._to_copy.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1, 1, 10]> self = ?,
Optional[int] dtype = torch.bfloat16
Done Fallback 1 -1
1 Tensor<[1, 10]> self = ?,
Optional[int] dtype = torch.int32
Removed Fallback 1 -1
2 Tensor<[1, 10]> self = ?,
Optional[int] dtype = torch.int32,
Optional[int] layout = torch.strided,
Optional[Device] device = cpu
Removed Fallback 1 -1
3 Tensor<[1, 10]> self = ?,
Optional[int] dtype = torch.int64
Removed Fallback 1 -1

aten.add.Tensor

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 10, 768]> self = ?,
Tensor<[1, 10, 768]> other = ?
Done Done 0.999998 0
1 Tensor<[1, 10]> self = ?,
Tensor other = 0
Done Done 1 0
2 Tensor<[1, 10]> self = ?,
Tensor other = 1
Done Done 0.999994 0
3 Tensor<[1, 12, 10, 10]> self = ?,
Tensor<[1, 1, 1, 10]> other = ?
Done Done 0.999998 0

aten.addmm.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[250002]> self = ?,
Tensor<[10, 768]> mat1 = ?,
Tensor<[768, 250002]> mat2 = ?
Done Done 0.999967 0
1 Tensor<[3072]> self = ?,
Tensor<[10, 768]> mat1 = ?,
Tensor<[768, 3072]> mat2 = ?
Done Done 0.999967 0
2 Tensor<[768]> self = ?,
Tensor<[10, 3072]> mat1 = ?,
Tensor<[3072, 768]> mat2 = ?
Done Done 0.999942 0
3 Tensor<[768]> self = ?,
Tensor<[10, 768]> mat1 = ?,
Tensor<[768, 768]> mat2 = ?
Done Done 0.999966 0

aten.bmm.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[12, 10, 10]> self = ?,
Tensor<[12, 10, 64]> mat2 = ?
Done Done 0.999991 0
1 Tensor<[12, 10, 64]> self = ?,
Tensor<[12, 64, 10]> mat2 = ?
Done Done 0.999988 0

aten.clone.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 10, 12, 64]> self = ?,
Optional[int] memory_format = torch.contiguous_format
Done Done 1 0
1 Tensor<[1, 10, 768]> self = ? Done Done 1 0
2 Tensor<[1, 12, 10, 10]> self = ? Done Done 1 0

aten.cumsum.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 10]> self = ?,
int dim = 1
Done Done 0.999996 1

aten.div.Tensor

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 12, 10, 10]> self = ?,
Tensor other = 8.0
Done Done 1 0

aten.embedding.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 768]> weight = ?,
Tensor<[1, 10]> indices = ?
Done Done 1 0
1 Tensor<[250002, 768]> weight = ?,
Tensor<[1, 10]> indices = ?,
int padding_idx = 1
Done Done 1 0
2 Tensor<[514, 768]> weight = ?,
Tensor<[1, 10]> indices = ?,
int padding_idx = 1
Done Done 1 0

aten.expand.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 10]> self = ?,
List[int] size = [1, 10]
Removed Done 1 -1
1 Tensor<[1, 12, 10, 10]> self = ?,
List[int] size = [1, 12, 10, 10]
Removed Done 1 -1
2 Tensor<[1, 12, 10, 64]> self = ?,
List[int] size = [1, 12, 10, 64]
Removed Done 1 -1
3 Tensor<[1, 12, 64, 10]> self = ?,
List[int] size = [1, 12, 64, 10]
Removed Done 1 -1

aten.gelu.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 10, 3072]> self = ? Done Done 0.999992 0
1 Tensor<[1, 10, 768]> self = ? Done Done 0.999991 0

aten.mul.Tensor

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1, 1, 10]> self = ?,
Tensor other = -3.3895313892515355e+38
Done Done 0.999996 0
1 Tensor<[1, 10]> self = ?,
Tensor<[1, 10]> other = ?
Done Done 1 0

aten.native_layer_norm.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 10, 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.ne.Scalar

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 10]> self = ?,
number other = 1
Done Done 1 0

aten.permute.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 10, 12, 64]> self = ?,
List[int] dims = [0, 2, 1, 3]
Done Done 1 0
1 Tensor<[1, 12, 10, 64]> self = ?,
List[int] dims = [0, 2, 1, 3]
Done Done 1 0

aten.rsub.Scalar

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1, 1, 10]> self = ?,
number other = 1.0
Done Done 1 0

aten.slice.Tensor

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1, 1, 10]> self = ?,
int dim = 3,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807
Removed Done 1 -1
1 Tensor<[1, 10]> self = ?,
int dim = 0,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807
Removed Done 1 -1
2 Tensor<[1, 514]> self = ?,
int dim = 0,
Optional[int] start = 0,
Optional[int] end = 9223372036854775807
Removed Done 1 -1
3 Tensor<[1, 514]> self = ?,
int dim = 1,
Optional[int] start = 0,
Optional[int] end = 10
Done Done 1 -1

aten.t.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[250002, 768]> self = ? Done Done 1 0
1 Tensor<[3072, 768]> self = ? Done Done 1 0
2 Tensor<[768, 3072]> self = ? Done Done 1 0
3 Tensor<[768, 768]> self = ? Done Done 1 0

aten.transpose.int

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 12, 10, 64]> self = ?,
int dim0 = -1,
int dim1 = -2
Done Done 1 0

aten.unsqueeze.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1, 10]> self = ?,
int dim = 2
Done Done 1 -1
1 Tensor<[1, 10]> self = ?,
int dim = 1
Done Done 1 -1

aten.view.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 10, 12, 64]> self = ?,
List[int] size = [1, 10, 768]
Done Done 1 -1
1 Tensor<[1, 10, 3072]> self = ?,
List[int] size = [10, 3072]
Done Done 1 -1
2 Tensor<[1, 10, 768]> self = ?,
List[int] size = [1, 10, 12, 64]
Done Done 1 -1
3 Tensor<[1, 10, 768]> self = ?,
List[int] size = [10, 768]
Done Done 1 -1
4 Tensor<[1, 12, 10, 10]> self = ?,
List[int] size = [12, 10, 10]
Done Done 1 -1
5 Tensor<[1, 12, 10, 64]> self = ?,
List[int] size = [12, 10, 64]
Done Done 1 -1
6 Tensor<[1, 12, 64, 10]> self = ?,
List[int] size = [12, 64, 10]
Done Done 1 -1
7 Tensor<[10, 250002]> self = ?,
List[int] size = [1, 10, 250002]
Done Done 1 -1
8 Tensor<[10, 3072]> self = ?,
List[int] size = [1, 10, 3072]
Done Done 1 -1
9 Tensor<[10, 768]> self = ?,
List[int] size = [1, 10, 768]
Done Done 1 -1
10 Tensor<[12, 10, 10]> self = ?,
List[int] size = [1, 12, 10, 10]
Done Done 1 -1
11 Tensor<[12, 10, 64]> self = ?,
List[int] size = [1, 12, 10, 64]
Done Done 1 -1