operator name
stringclasses
180 values
used in model
stringclasses
155 values
args
stringlengths
19
5.24k
aten.threshold_backward.default
TorchBench/pytorch_stargan
((T([16, 256, 32, 32], f16), T([16, 256, 32, 32], f16), 0), {})
aten.threshold_backward.default
TIMM/nasnetalarge
((T([16, 2688, 11, 11], f16), T([16, 2688, 11, 11], f16), 0), {})
aten.threshold_backward.default
TIMM/pnasnet5large
((T([16, 270, 83, 83], f16), T([16, 270, 83, 83], f16), 0), {})
aten.threshold_backward.default
TIMM/nasnetalarge
((T([16, 336, 21, 21], f16), T([16, 336, 21, 21], f16), 0), {})
aten.threshold_backward.default
TIMM/nasnetalarge
((T([16, 336, 42, 42], f16), T([16, 336, 42, 42], f16), 0), {})
aten.threshold_backward.default
TIMM/nasnetalarge
((T([16, 4032, 11, 11], f16), T([16, 4032, 11, 11], f16), 0), {})
aten.threshold_backward.default
TIMM/nasnetalarge
((T([16, 42, 165, 165], f16), T([16, 42, 165, 165], f16), 0), {})
aten.threshold_backward.default
TIMM/nasnetalarge
((T([16, 42, 83, 83], f16), T([16, 42, 83, 83], f16), 0), {})
aten.threshold_backward.default
TIMM/pnasnet5large
((T([16, 432, 21, 21], f16), T([16, 432, 21, 21], f16), 0), {})
aten.threshold_backward.default
TIMM/pnasnet5large
((T([16, 432, 42, 42], f16), T([16, 432, 42, 42], f16), 0), {})
aten.threshold_backward.default
TIMM/pnasnet5large
((T([16, 4320, 11, 11], f16), T([16, 4320, 11, 11], f16), 0), {})
aten.threshold_backward.default
TorchBench/resnet18
((T([16, 512, 7, 7], f16), T([16, 512, 7, 7], f16), 0), {})
aten.threshold_backward.default
TIMM/pnasnet5large
((T([16, 54, 165, 165], f16), T([16, 54, 165, 165], f16), 0), {})
aten.threshold_backward.default
TIMM/pnasnet5large
((T([16, 54, 83, 83], f16), T([16, 54, 83, 83], f16), 0), {})
aten.threshold_backward.default
TIMM/pnasnet5large
((T([16, 540, 42, 42], f16), T([16, 540, 42, 42], f16), 0), {})
aten.threshold_backward.default
TorchBench/resnet18
((T([16, 64, 112, 112], f16), T([16, 64, 112, 112], f16), 0), {})
aten.threshold_backward.default
TorchBench/pytorch_stargan
((T([16, 64, 128, 128], f16), T([16, 64, 128, 128], f16), 0), {})
aten.threshold_backward.default
TorchBench/resnet18
((T([16, 64, 56, 56], f16), T([16, 64, 56, 56], f16), 0), {})
aten.threshold_backward.default
TIMM/nasnetalarge
((T([16, 672, 11, 11], f16), T([16, 672, 11, 11], f16), 0), {})
aten.threshold_backward.default
TIMM/nasnetalarge
((T([16, 672, 21, 21], f16), T([16, 672, 21, 21], f16), 0), {})
aten.threshold_backward.default
TIMM/nasnetalarge
((T([16, 84, 42, 42], f16), T([16, 84, 42, 42], f16), 0), {})
aten.threshold_backward.default
TIMM/nasnetalarge
((T([16, 84, 83, 83], f16), T([16, 84, 83, 83], f16), 0), {})
aten.threshold_backward.default
TIMM/pnasnet5large
((T([16, 864, 11, 11], f16), T([16, 864, 11, 11], f16), 0), {})
aten.threshold_backward.default
TIMM/pnasnet5large
((T([16, 864, 21, 21], f16), T([16, 864, 21, 21], f16), 0), {})
aten.threshold_backward.default
TIMM/nasnetalarge
((T([16, 96, 165, 165], f16), T([16, 96, 165, 165], f16), 0), {})
aten.threshold_backward.default
TIMM/pnasnet5large
((T([16, 96, 165, 165], f16), T([16, 96, 165, 165], f16), 0), {})
aten.threshold_backward.default
HuggingFace/M2M100ForConditionalGeneration
((T([2, 128, 4096], f16), T([2, 128, 4096], f16), 0), {})
aten.threshold_backward.default
TorchBench/attention_is_all_you_need_pytorch
((T([256, 31, 2048], f16), T([256, 31, 2048], f16), 0), {})
aten.threshold_backward.default
TorchBench/attention_is_all_you_need_pytorch
((T([256, 33, 2048], f16), T([256, 33, 2048], f16), 0), {})
aten.threshold_backward.default
TorchBench/timm_efficientdet
((T([2], f16), T([2], f16), 0), {})
aten.threshold_backward.default
TorchBench/Background_Matting
((T([3, 128, 256, 256], f16), T([3, 128, 256, 256], f16), 0), {})
aten.threshold_backward.default
TorchBench/Background_Matting
((T([3, 128, 256, 256], f16, stride=(16777216, 65536, 256, 1)), T([3, 128, 256, 256], f16), 0), {})
aten.threshold_backward.default
TorchBench/Background_Matting
((T([3, 128, 256, 256], f16, stride=(8388608, 1, 32768, 128)), T([3, 128, 256, 256], f16, stride=(8388608, 1, 32768, 128)), 0), {})
aten.threshold_backward.default
TorchBench/Background_Matting
((T([3, 256, 128, 128], f16), T([3, 256, 128, 128], f16), 0), {})
aten.threshold_backward.default
TorchBench/Background_Matting
((T([3, 256, 128, 128], f16, stride=(8388608, 16384, 128, 1)), T([3, 256, 128, 128], f16, stride=(4194304, 1, 32768, 256)), 0), {})
aten.threshold_backward.default
TorchBench/Background_Matting
((T([3, 64, 128, 128], f16, stride=(7340032, 16384, 128, 1)), T([3, 64, 128, 128], f16), 0), {})
aten.threshold_backward.default
TorchBench/Background_Matting
((T([3, 64, 512, 512], f16), T([3, 64, 512, 512], f16), 0), {})
aten.threshold_backward.default
TorchBench/Background_Matting
((T([3, 64, 512, 512], f16, stride=(16777216, 1, 32768, 64)), T([3, 64, 512, 512], f16, stride=(16777216, 1, 32768, 64)), 0), {})
aten.threshold_backward.default
TorchBench/pytorch_struct
((T([30, 256], f16), T([30, 256], f16), 0), {})
aten.threshold_backward.default
TorchBench/pytorch_struct
((T([30, 256], f16, stride=(1, 30)), T([30, 256], f16), 0), {})
aten.threshold_backward.default
TorchBench/squeezenet1_1
((T([32, 1000, 13, 13], f16), T([32, 1000, 13, 13], f16), 0), {})
aten.threshold_backward.default
TIMM/gluon_xception65
((T([32, 1024, 10, 10], f16), T([32, 1024, 10, 10], f16), 0), {})
aten.threshold_backward.default
TIMM/gluon_senet154
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aten.threshold_backward.default
TIMM/legacy_senet154
((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16), 0), {})
aten.threshold_backward.default
TIMM/swsl_resnext101_32x16d
((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16), 0), {})
aten.threshold_backward.default
TorchBench/resnet50
((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16), 0), {})
aten.threshold_backward.default
TorchBench/timm_resnest
((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16), 0), {})
aten.threshold_backward.default
TIMM/resnest101e
((T([32, 1024, 16, 16], f16), T([32, 1024, 16, 16], f16), 0), {})
aten.threshold_backward.default
TIMM/gluon_xception65
((T([32, 1024, 19, 19], f16), T([32, 1024, 19, 19], f16), 0), {})
aten.threshold_backward.default
TIMM/dpn107
((T([32, 1024, 28, 28], f16), T([32, 1024, 28, 28], f16), 0), {})
aten.threshold_backward.default
TIMM/swsl_resnext101_32x16d
((T([32, 1024, 28, 28], f16), T([32, 1024, 28, 28], f16), 0), {})
aten.threshold_backward.default
TIMM/swsl_resnext101_32x16d
((T([32, 1024, 56, 56], f16), T([32, 1024, 56, 56], f16), 0), {})
aten.threshold_backward.default
TIMM/gluon_senet154
((T([32, 1024, 7, 7], f16), T([32, 1024, 7, 7], f16), 0), {})
aten.threshold_backward.default
TIMM/legacy_senet154
((T([32, 1024, 7, 7], f16), T([32, 1024, 7, 7], f16), 0), {})
aten.threshold_backward.default
TorchBench/timm_vovnet
((T([32, 1024, 7, 7], f16), T([32, 1024, 7, 7], f16), 0), {})
aten.threshold_backward.default
TIMM/resnest101e
((T([32, 1024, 8, 8], f16), T([32, 1024, 8, 8], f16), 0), {})
aten.threshold_backward.default
TIMM/dpn107
((T([32, 1088, 28, 28], f16), T([32, 1088, 28, 28], f16), 0), {})
aten.threshold_backward.default
TorchBench/timm_regnet
((T([32, 112, 1, 1], f16), T([32, 112, 1, 1], f16), 0), {})
aten.threshold_backward.default
TIMM/dpn107
((T([32, 1152, 28, 28], f16), T([32, 1152, 28, 28], f16), 0), {})
aten.threshold_backward.default
TorchBench/mnasnet1_0
((T([32, 1152, 7, 7], f16), T([32, 1152, 7, 7], f16), 0), {})
aten.threshold_backward.default
TorchBench/mobilenet_v3_large
((T([32, 120, 1, 1], f16), T([32, 120, 1, 1], f16), 0), {})
aten.threshold_backward.default
TorchBench/mnasnet1_0
((T([32, 120, 28, 28], f16), T([32, 120, 28, 28], f16), 0), {})
aten.threshold_backward.default
TorchBench/mobilenet_v3_large
((T([32, 120, 28, 28], f16), T([32, 120, 28, 28], f16), 0), {})
aten.threshold_backward.default
TIMM/dpn107
((T([32, 1216, 14, 14], f16), T([32, 1216, 14, 14], f16), 0), {})
aten.threshold_backward.default
TIMM/gluon_senet154
((T([32, 128, 1, 1], f16), T([32, 128, 1, 1], f16), 0), {})
aten.threshold_backward.default
TIMM/legacy_senet154
((T([32, 128, 1, 1], f16), T([32, 128, 1, 1], f16), 0), {})
aten.threshold_backward.default
TIMM/resnest101e
((T([32, 128, 1, 1], f16), T([32, 128, 1, 1], f16), 0), {})
aten.threshold_backward.default
TorchBench/timm_resnest
((T([32, 128, 1, 1], f16), T([32, 128, 1, 1], f16), 0), {})
aten.threshold_backward.default
TIMM/dpn107
((T([32, 128, 112, 112], f16), T([32, 128, 112, 112], f16), 0), {})
aten.threshold_backward.default
TIMM/gluon_senet154
((T([32, 128, 112, 112], f16), T([32, 128, 112, 112], f16), 0), {})
aten.threshold_backward.default
TIMM/legacy_senet154
((T([32, 128, 112, 112], f16), T([32, 128, 112, 112], f16), 0), {})
aten.threshold_backward.default
TIMM/resnest101e
((T([32, 128, 128, 128], f16), T([32, 128, 128, 128], f16), 0), {})
aten.threshold_backward.default
TIMM/gluon_xception65
((T([32, 128, 150, 150], f16), T([32, 128, 150, 150], f16), 0), {})
aten.threshold_backward.default
TorchBench/squeezenet1_1
((T([32, 128, 27, 27], f16, stride=(186624, 729, 27, 1)), T([32, 128, 27, 27], f16), 0), {})
aten.threshold_backward.default
TorchBench/resnet50
((T([32, 128, 28, 28], f16), T([32, 128, 28, 28], f16), 0), {})
aten.threshold_backward.default
TIMM/resnest101e
((T([32, 128, 32, 32], f16), T([32, 128, 32, 32], f16), 0), {})
aten.threshold_backward.default
HuggingFace/MobileBertForQuestionAnswering
((T([32, 128, 512], f16), T([32, 128, 512], f16), 0), {})
aten.threshold_backward.default
TIMM/dpn107
((T([32, 128, 56, 56], f16), T([32, 128, 56, 56], f16), 0), {})
aten.threshold_backward.default
TIMM/gluon_senet154
((T([32, 128, 56, 56], f16), T([32, 128, 56, 56], f16), 0), {})
aten.threshold_backward.default
TIMM/legacy_senet154
((T([32, 128, 56, 56], f16), T([32, 128, 56, 56], f16), 0), {})
aten.threshold_backward.default
TorchBench/resnet50
((T([32, 128, 56, 56], f16), T([32, 128, 56, 56], f16), 0), {})
aten.threshold_backward.default
TorchBench/timm_resnest
((T([32, 128, 56, 56], f16), T([32, 128, 56, 56], f16), 0), {})
aten.threshold_backward.default
TorchBench/timm_vovnet
((T([32, 128, 56, 56], f16), T([32, 128, 56, 56], f16), 0), {})
aten.threshold_backward.default
TorchBench/timm_vovnet
((T([32, 128, 56, 56], f16, stride=(2408448, 3136, 56, 1)), T([32, 128, 56, 56], f16), 0), {})
aten.threshold_backward.default
TIMM/resnest101e
((T([32, 128, 64, 64], f16), T([32, 128, 64, 64], f16), 0), {})
aten.threshold_backward.default
TIMM/gluon_xception65
((T([32, 128, 75, 75], f16), T([32, 128, 75, 75], f16), 0), {})
aten.threshold_backward.default
TIMM/dpn107
((T([32, 1280, 14, 14], f16), T([32, 1280, 14, 14], f16), 0), {})
aten.threshold_backward.default
TorchBench/mnasnet1_0
((T([32, 1280, 7, 7], f16), T([32, 1280, 7, 7], f16), 0), {})
aten.threshold_backward.default
TIMM/dpn107
((T([32, 1344, 14, 14], f16), T([32, 1344, 14, 14], f16), 0), {})
aten.threshold_backward.default
TIMM/dpn107
((T([32, 1408, 14, 14], f16), T([32, 1408, 14, 14], f16), 0), {})
aten.threshold_backward.default
TIMM/dpn107
((T([32, 1472, 14, 14], f16), T([32, 1472, 14, 14], f16), 0), {})
aten.threshold_backward.default
TIMM/gluon_xception65
((T([32, 1536, 10, 10], f16), T([32, 1536, 10, 10], f16), 0), {})
aten.threshold_backward.default
TIMM/dpn107
((T([32, 1536, 14, 14], f16), T([32, 1536, 14, 14], f16), 0), {})
aten.threshold_backward.default
TIMM/gluon_senet154
((T([32, 16, 1, 1], f16), T([32, 16, 1, 1], f16), 0), {})
aten.threshold_backward.default
TIMM/legacy_senet154
((T([32, 16, 1, 1], f16), T([32, 16, 1, 1], f16), 0), {})
aten.threshold_backward.default
TorchBench/mobilenet_v3_large
((T([32, 16, 112, 112], f16), T([32, 16, 112, 112], f16), 0), {})
aten.threshold_backward.default
TorchBench/squeezenet1_1
((T([32, 16, 55, 55], f16), T([32, 16, 55, 55], f16), 0), {})
aten.threshold_backward.default
TorchBench/timm_vovnet
((T([32, 160, 28, 28], f16), T([32, 160, 28, 28], f16), 0), {})
aten.threshold_backward.default
TorchBench/timm_vovnet
((T([32, 160, 28, 28], f16, stride=(827904, 784, 28, 1)), T([32, 160, 28, 28], f16), 0), {})
aten.threshold_backward.default
TIMM/dpn107
((T([32, 1600, 14, 14], f16), T([32, 1600, 14, 14], f16), 0), {})