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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._native_batch_norm_legit_no_training.default 19 19 0 0 ✅ 1
1 aten.add.Tensor 5 5 0 0 ✅ 1
2 aten.addmm.default 1 1 0 0 ✅ 1
3 aten.constant_pad_nd.default 5 5 0 0 ✅ 1
4 aten.convolution.default 32 32 0 0 ✅ 1
5 aten.hardtanh.default 12 12 0 0 ✅ 1
6 aten.mean.dim 1 1 0 0 ✅ 1
7 aten.t.default 1 1 0 0 ✅ 1
8 aten.view.default 1 1 0 0 ✅ 1

aten._native_batch_norm_legit_no_training.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 112, 15, 15]> input = ?,
Optional[Tensor]<[112]> weight = ?,
Optional[Tensor]<[112]> bias = ?,
Tensor<[112]> running_mean = ?,
Tensor<[112]> running_var = ?,
float momentum = 0.1,
float eps = 0.001		 Done Done 0.999992 5
1 Tensor<[1, 1152, 8, 8]> input = ?,
Optional[Tensor]<[1152]> weight = ?,
Optional[Tensor]<[1152]> bias = ?,
Tensor<[1152]> running_mean = ?,
Tensor<[1152]> running_var = ?,
float momentum = 0.1,
float eps = 0.001		 Done Done 0.999989 5
2 Tensor<[1, 1280, 8, 8]> input = ?,
Optional[Tensor]<[1280]> weight = ?,
Optional[Tensor]<[1280]> bias = ?,
Tensor<[1280]> running_mean = ?,
Tensor<[1280]> running_var = ?,
float momentum = 0.1,
float eps = 0.001		 Done Done 0.999989 5
3 Tensor<[1, 144, 30, 30]> input = ?,
Optional[Tensor]<[144]> weight = ?,
Optional[Tensor]<[144]> bias = ?,
Tensor<[144]> running_mean = ?,
Tensor<[144]> running_var = ?,
float momentum = 0.1,
float eps = 0.001		 Done Done 0.999989 5
4 Tensor<[1, 144, 60, 60]> input = ?,
Optional[Tensor]<[144]> weight = ?,
Optional[Tensor]<[144]> bias = ?,
Tensor<[144]> running_mean = ?,
Tensor<[144]> running_var = ?,
float momentum = 0.1,
float eps = 0.001		 Done Done 0.999986 5
5 Tensor<[1, 16, 120, 120]> input = ?,
Optional[Tensor]<[16]> weight = ?,
Optional[Tensor]<[16]> bias = ?,
Tensor<[16]> running_mean = ?,
Tensor<[16]> running_var = ?,
float momentum = 0.1,
float eps = 0.001		 Done Done 0.999989 5
6 Tensor<[1, 192, 8, 8]> input = ?,
Optional[Tensor]<[192]> weight = ?,
Optional[Tensor]<[192]> bias = ?,
Tensor<[192]> running_mean = ?,
Tensor<[192]> running_var = ?,
float momentum = 0.1,
float eps = 0.001		 Done Done 0.999991 5
7 Tensor<[1, 24, 60, 60]> input = ?,
Optional[Tensor]<[24]> weight = ?,
Optional[Tensor]<[24]> bias = ?,
Tensor<[24]> running_mean = ?,
Tensor<[24]> running_var = ?,
float momentum = 0.1,
float eps = 0.001		 Done Done 0.999987 5
8 Tensor<[1, 240, 15, 15]> input = ?,
Optional[Tensor]<[240]> weight = ?,
Optional[Tensor]<[240]> bias = ?,
Tensor<[240]> running_mean = ?,
Tensor<[240]> running_var = ?,
float momentum = 0.1,
float eps = 0.001		 Done Done 0.999988 5
9 Tensor<[1, 240, 30, 30]> input = ?,
Optional[Tensor]<[240]> weight = ?,
Optional[Tensor]<[240]> bias = ?,
Tensor<[240]> running_mean = ?,
Tensor<[240]> running_var = ?,
float momentum = 0.1,
float eps = 0.001		 Done Done 0.999986 5
10 Tensor<[1, 32, 120, 120]> input = ?,
Optional[Tensor]<[32]> weight = ?,
Optional[Tensor]<[32]> bias = ?,
Tensor<[32]> running_mean = ?,
Tensor<[32]> running_var = ?,
float momentum = 0.1,
float eps = 0.001		 Done Done 0.999992 5
11 Tensor<[1, 320, 8, 8]> input = ?,
Optional[Tensor]<[320]> weight = ?,
Optional[Tensor]<[320]> bias = ?,
Tensor<[320]> running_mean = ?,
Tensor<[320]> running_var = ?,
float momentum = 0.1,
float eps = 0.001		 Done Done 0.99999 5
12 Tensor<[1, 40, 30, 30]> input = ?,
Optional[Tensor]<[40]> weight = ?,
Optional[Tensor]<[40]> bias = ?,
Tensor<[40]> running_mean = ?,
Tensor<[40]> running_var = ?,
float momentum = 0.1,
float eps = 0.001		 Done Done 0.999988 5
13 Tensor<[1, 480, 15, 15]> input = ?,
Optional[Tensor]<[480]> weight = ?,
Optional[Tensor]<[480]> bias = ?,
Tensor<[480]> running_mean = ?,
Tensor<[480]> running_var = ?,
float momentum = 0.1,
float eps = 0.001		 Done Done 0.999988 5
14 Tensor<[1, 672, 15, 15]> input = ?,
Optional[Tensor]<[672]> weight = ?,
Optional[Tensor]<[672]> bias = ?,
Tensor<[672]> running_mean = ?,
Tensor<[672]> running_var = ?,
float momentum = 0.1,
float eps = 0.001		 Done Done 0.999987 5
15 Tensor<[1, 672, 8, 8]> input = ?,
Optional[Tensor]<[672]> weight = ?,
Optional[Tensor]<[672]> bias = ?,
Tensor<[672]> running_mean = ?,
Tensor<[672]> running_var = ?,
float momentum = 0.1,
float eps = 0.001		 Done Done 0.999989 5
16 Tensor<[1, 80, 15, 15]> input = ?,
Optional[Tensor]<[80]> weight = ?,
Optional[Tensor]<[80]> bias = ?,
Tensor<[80]> running_mean = ?,
Tensor<[80]> running_var = ?,
float momentum = 0.1,
float eps = 0.001		 Done Done 0.999988 5
17 Tensor<[1, 96, 120, 120]> input = ?,
Optional[Tensor]<[96]> weight = ?,
Optional[Tensor]<[96]> bias = ?,
Tensor<[96]> running_mean = ?,
Tensor<[96]> running_var = ?,
float momentum = 0.1,
float eps = 0.001		 Done Done 0.99999 5
18 Tensor<[1, 96, 60, 60]> input = ?,
Optional[Tensor]<[96]> weight = ?,
Optional[Tensor]<[96]> bias = ?,
Tensor<[96]> running_mean = ?,
Tensor<[96]> running_var = ?,
float momentum = 0.1,
float eps = 0.001		 Done Done 0.999989 5

aten.add.Tensor

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 112, 15, 15]> self = ?,
Tensor<[1, 112, 15, 15]> other = ?		 Done Done 0.999998 0
1 Tensor<[1, 192, 8, 8]> self = ?,
Tensor<[1, 192, 8, 8]> other = ?		 Done Done 0.999998 0
2 Tensor<[1, 24, 60, 60]> self = ?,
Tensor<[1, 24, 60, 60]> other = ?		 Done Done 0.999998 0
3 Tensor<[1, 40, 30, 30]> self = ?,
Tensor<[1, 40, 30, 30]> other = ?		 Done Done 0.999998 0
4 Tensor<[1, 80, 15, 15]> self = ?,
Tensor<[1, 80, 15, 15]> other = ?		 Done Done 0.999998 0

aten.addmm.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1000]> self = ?,
Tensor<[1, 1280]> mat1 = ?,
Tensor<[1280, 1000]> mat2 = ?		 Done Done 0.999963 0

aten.constant_pad_nd.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 144, 60, 60]> self = ?,
List[int] pad = [1, 2, 1, 2],
number value = 0.0		 Done Done 1 0
1 Tensor<[1, 240, 30, 30]> self = ?,
List[int] pad = [0, 1, 0, 1],
number value = 0.0		 Done Done 1 0
2 Tensor<[1, 3, 240, 240]> self = ?,
List[int] pad = [0, 1, 0, 1],
number value = 0.0		 Done Done 1 0
3 Tensor<[1, 672, 15, 15]> self = ?,
List[int] pad = [2, 2, 2, 2],
number value = 0.0		 Done Done 1 0
4 Tensor<[1, 96, 120, 120]> self = ?,
List[int] pad = [0, 1, 0, 1],
number value = 0.0		 Done Done 1 0

aten.convolution.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 112, 15, 15]> input = ?,
Tensor<[672, 112, 1, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999982 4
1 Tensor<[1, 1152, 8, 8]> input = ?,
Tensor<[1152, 1, 3, 3]> weight = ?,
Optional[Tensor] 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 = 1152		 Done Done 0.999985 4
2 Tensor<[1, 1152, 8, 8]> input = ?,
Tensor<[1152, 1, 5, 5]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [2, 2],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1152		 Done Done 0.999966 4
3 Tensor<[1, 1152, 8, 8]> input = ?,
Tensor<[192, 1152, 1, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.99996 4
4 Tensor<[1, 1152, 8, 8]> input = ?,
Tensor<[320, 1152, 1, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999959 4
5 Tensor<[1, 144, 30, 30]> input = ?,
Tensor<[40, 144, 1, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999984 4
6 Tensor<[1, 144, 60, 60]> input = ?,
Tensor<[144, 1, 3, 3]> weight = ?,
Optional[Tensor] 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 = 144		 Done Done 0.999984 4
7 Tensor<[1, 144, 60, 60]> input = ?,
Tensor<[24, 144, 1, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999984 4
8 Tensor<[1, 144, 63, 63]> input = ?,
Tensor<[144, 1, 5, 5]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 144		 Done Done 0.999958 4
9 Tensor<[1, 16, 120, 120]> input = ?,
Tensor<[96, 16, 1, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999991 4
10 Tensor<[1, 192, 8, 8]> input = ?,
Tensor<[1152, 192, 1, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999977 4
11 Tensor<[1, 24, 60, 60]> input = ?,
Tensor<[144, 24, 1, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999989 4
12 Tensor<[1, 240, 15, 15]> input = ?,
Tensor<[80, 240, 1, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999982 4
13 Tensor<[1, 240, 30, 30]> input = ?,
Tensor<[240, 1, 5, 5]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [2, 2],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 240		 Done Done 0.999959 4
14 Tensor<[1, 240, 30, 30]> input = ?,
Tensor<[40, 240, 1, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999977 4
15 Tensor<[1, 240, 31, 31]> input = ?,
Tensor<[240, 1, 3, 3]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 240		 Done Done 0.999983 4
16 Tensor<[1, 3, 241, 241]> input = ?,
Tensor<[32, 3, 3, 3]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999981 4
17 Tensor<[1, 32, 120, 120]> input = ?,
Tensor<[16, 32, 1, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999989 4
18 Tensor<[1, 32, 120, 120]> input = ?,
Tensor<[32, 1, 3, 3]> weight = ?,
Optional[Tensor] 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 = 32		 Done Done 0.999983 4
19 Tensor<[1, 320, 8, 8]> input = ?,
Tensor<[1280, 320, 1, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999974 4
20 Tensor<[1, 40, 30, 30]> input = ?,
Tensor<[240, 40, 1, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999988 4
21 Tensor<[1, 480, 15, 15]> input = ?,
Tensor<[112, 480, 1, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999974 4
22 Tensor<[1, 480, 15, 15]> input = ?,
Tensor<[480, 1, 3, 3]> weight = ?,
Optional[Tensor] 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 = 480		 Done Done 0.999984 4
23 Tensor<[1, 480, 15, 15]> input = ?,
Tensor<[480, 1, 5, 5]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [2, 2],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 480		 Done Done 0.999962 4
24 Tensor<[1, 480, 15, 15]> input = ?,
Tensor<[80, 480, 1, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999974 4
25 Tensor<[1, 672, 15, 15]> input = ?,
Tensor<[112, 672, 1, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.99997 4
26 Tensor<[1, 672, 15, 15]> input = ?,
Tensor<[672, 1, 5, 5]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [2, 2],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 672		 Done Done 0.999962 4
27 Tensor<[1, 672, 19, 19]> input = ?,
Tensor<[672, 1, 5, 5]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 672		 Done Done 0.999958 4
28 Tensor<[1, 672, 8, 8]> input = ?,
Tensor<[192, 672, 1, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.99997 4
29 Tensor<[1, 80, 15, 15]> input = ?,
Tensor<[480, 80, 1, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999986 4
30 Tensor<[1, 96, 121, 121]> input = ?,
Tensor<[96, 1, 3, 3]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [2, 2],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 96		 Done Done 0.999983 4
31 Tensor<[1, 96, 60, 60]> input = ?,
Tensor<[24, 96, 1, 1]> weight = ?,
Optional[Tensor] bias = ?,
List[int] stride = [1, 1],
List[int] padding = [0, 0],
List[int] dilation = [1, 1],
bool transposed = False,
List[int] output_padding = [0, 0],
int groups = 1		 Done Done 0.999984 4

aten.hardtanh.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1152, 8, 8]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
1 Tensor<[1, 1280, 8, 8]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
2 Tensor<[1, 144, 30, 30]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
3 Tensor<[1, 144, 60, 60]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
4 Tensor<[1, 240, 15, 15]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
5 Tensor<[1, 240, 30, 30]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
6 Tensor<[1, 32, 120, 120]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
7 Tensor<[1, 480, 15, 15]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
8 Tensor<[1, 672, 15, 15]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
9 Tensor<[1, 672, 8, 8]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
10 Tensor<[1, 96, 120, 120]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0
11 Tensor<[1, 96, 60, 60]> self = ?,
number min_val = 0.0,
number max_val = 6.0		 Done Done 1 0

aten.mean.dim

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1280, 8, 8]> self = ?,
Optional[List[int]] dim = [-1, -2],
bool keepdim = True		 Done Done 0.999997 0

aten.t.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1000, 1280]> self = ? Done Done 1 0

aten.view.default

ATen Input Variations Status Isolated PCC Host
0 Tensor<[1, 1280, 1, 1]> self = ?,
List[int] size = [1, 1280]		 Done Done 1 -1