operator name
stringclasses
180 values
used in model
stringclasses
155 values
args
stringlengths
19
5.24k
aten.add.Tensor
TIMM/dpn107
((T([32, 100, 56, 56], f16, stride=(1179136, 3136, 56, 1)), T([32, 100, 56, 56], f16, stride=(1116416, 3136, 56, 1))), {})
aten.add.Tensor
TIMM/gluon_xception65
((T([32, 1024, 10, 10], f16), T([32, 1024, 10, 10], f16)), {})
aten.add.Tensor
TIMM/gluon_senet154
((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16)), {})
aten.add.Tensor
TIMM/legacy_senet154
((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16)), {})
aten.add.Tensor
TIMM/swsl_resnext101_32x16d
((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16)), {})
aten.add.Tensor
TorchBench/resnet50
((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16)), {})
aten.add.Tensor
TorchBench/timm_resnest
((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16)), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16, stride=(213248, 196, 14, 1))), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16, stride=(238336, 196, 14, 1))), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16, stride=(250880, 196, 14, 1))), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16, stride=(263424, 196, 14, 1))), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16, stride=(275968, 196, 14, 1))), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16, stride=(288512, 196, 14, 1))), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16, stride=(301056, 196, 14, 1))), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16, stride=(313600, 196, 14, 1))), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16, stride=(326144, 196, 14, 1))), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16, stride=(338688, 196, 14, 1))), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16, stride=(351232, 196, 14, 1))), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16, stride=(363776, 196, 14, 1))), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16, stride=(376320, 196, 14, 1))), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16, stride=(388864, 196, 14, 1))), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16, stride=(401408, 196, 14, 1))), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16, stride=(413952, 196, 14, 1))), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16, stride=(426496, 196, 14, 1))), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16, stride=(439040, 196, 14, 1))), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16, stride=(451584, 196, 14, 1))), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 1024, 14, 14], f16, stride=(213248, 196, 14, 1)), T([32, 1024, 14, 14], f16, stride=(401408, 196, 14, 1))), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 1024, 14, 14], f16, stride=(225792, 196, 14, 1)), T([32, 1024, 14, 14], f16, stride=(213248, 196, 14, 1))), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 1024, 14, 14], f16, stride=(476672, 196, 14, 1)), T([32, 1024, 14, 14], f16, stride=(464128, 196, 14, 1))), {})
aten.add.Tensor
TIMM/resnest101e
((T([32, 1024, 16, 16], f16), T([32, 1024, 16, 16], f16)), {})
aten.add.Tensor
TIMM/convnext_base
((T([32, 1024, 7, 7], f16), T([32, 1024, 7, 7], f16, stride=(50176, 1, 7168, 1024))), {})
aten.add.Tensor
TorchBench/timm_vovnet
((T([32, 1024, 7, 7], f16, stride=(105056, 49, 7, 1)), T([32, 1024, 7, 7], f16)), {})
aten.add.Tensor
TIMM/convnext_base
((T([32, 1024, 7, 7], f16, stride=(50176, 1, 7168, 1024)), T([32, 1024, 7, 7], f16, stride=(50176, 1, 7168, 1024))), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 1088, 14, 14], f16), T([32, 1088, 14, 14], f16)), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 1088, 14, 14], f16, stride=(225792, 196, 14, 1)), T([32, 1088, 14, 14], f16, stride=(413952, 196, 14, 1))), {})
aten.add.Tensor
TorchBench/mobilenet_v3_large
((T([32, 112, 14, 14], f16), T([32, 112, 14, 14], f16)), {})
aten.add.Tensor
TorchBench/timm_efficientnet
((T([32, 112, 14, 14], f16), T([32, 112, 14, 14], f16)), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 1152, 14, 14], f16), T([32, 1152, 14, 14], f16)), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 1152, 14, 14], f16, stride=(238336, 196, 14, 1)), T([32, 1152, 14, 14], f16, stride=(426496, 196, 14, 1))), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 1152, 28, 28], f16), T([32, 1152, 28, 28], f16)), {})
aten.add.Tensor
TorchBench/timm_efficientnet
((T([32, 1152, 7, 7], f16), T([32, 1152, 7, 7], f16)), {})
aten.add.Tensor
TorchBench/mobilenet_v3_large
((T([32, 120, 28, 28], f16), T([32, 120, 28, 28], f16)), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 1216, 14, 14], f16, stride=(250880, 196, 14, 1)), T([32, 1216, 14, 14], f16, stride=(439040, 196, 14, 1))), {})
aten.add.Tensor
HuggingFace/MobileBertForQuestionAnswering
((T([32, 128, 128], f16), T([128], f16)), {})
aten.add.Tensor
HuggingFace/MobileBertForQuestionAnswering
((T([32, 128, 128], f16), T([32, 128, 128], f16)), {})
aten.add.Tensor
HuggingFace/MobileBertForQuestionAnswering
((T([32, 128, 128], f16, stride=(49152, 384, 1)), T([32, 128, 128], f16)), {})
aten.add.Tensor
TIMM/twins_pcpvt_base
((T([32, 128, 28, 28], f16), T([32, 128, 28, 28], f16, stride=(100352, 1, 3584, 128))), {})
aten.add.Tensor
HuggingFace/MobileBertForQuestionAnswering
((T([32, 128, 512], f16), T([1, 128, 512], f16)), {})
aten.add.Tensor
HuggingFace/MobileBertForQuestionAnswering
((T([32, 128, 512], f16), T([32, 128, 512], f16)), {})
aten.add.Tensor
HuggingFace/MobileBertForQuestionAnswering
((T([32, 128, 512], f16), T([512], f16)), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 128, 56, 56], f16), T([32, 128, 56, 56], f16)), {})
aten.add.Tensor
TIMM/gluon_senet154
((T([32, 128, 56, 56], f16), T([32, 128, 56, 56], f16)), {})
aten.add.Tensor
TIMM/legacy_senet154
((T([32, 128, 56, 56], f16), T([32, 128, 56, 56], f16)), {})
aten.add.Tensor
TorchBench/timm_vovnet
((T([32, 128, 56, 56], f16, stride=(2408448, 3136, 56, 1)), T([32, 128, 56, 56], f16)), {})
aten.add.Tensor
TIMM/convnext_base
((T([32, 128, 56, 56], f16, stride=(401408, 1, 7168, 128)), T([128, 1, 1], f16)), {})
aten.add.Tensor
TIMM/convnext_base
((T([32, 128, 56, 56], f16, stride=(401408, 1, 7168, 128)), T([32, 128, 56, 56], f16)), {})
aten.add.Tensor
TIMM/convnext_base
((T([32, 128, 56, 56], f16, stride=(401408, 1, 7168, 128)), T([32, 128, 56, 56], f16, stride=(401408, 1, 7168, 128))), {})
aten.add.Tensor
TIMM/resnest101e
((T([32, 128, 64, 64], f16), T([32, 128, 64, 64], f16)), {})
aten.add.Tensor
TIMM/gluon_xception65
((T([32, 128, 75, 75], f16), T([32, 128, 75, 75], f16)), {})
aten.add.Tensor
HuggingFace/DistilBertForQuestionAnswering
((T([32, 128, 768], f16), T([1, 128, 768], f16)), {})
aten.add.Tensor
HuggingFace/DistilBertForQuestionAnswering
((T([32, 128, 768], f16), T([32, 128, 768], f16)), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 1280, 14, 14], f16, stride=(263424, 196, 14, 1)), T([32, 1280, 14, 14], f16, stride=(451584, 196, 14, 1))), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 1344, 14, 14], f16, stride=(476672, 196, 14, 1)), T([32, 1344, 14, 14], f16, stride=(464128, 196, 14, 1))), {})
aten.add.Tensor
TIMM/convnext_base
((T([32, 14, 14, 2048], f16), T([2048], f16)), {})
aten.add.Tensor
TIMM/convnext_base
((T([32, 14, 14, 512], f16), T([512], f16)), {})
aten.add.Tensor
TorchBench/timm_efficientnet
((T([32, 144, 28, 28], f16), T([32, 144, 28, 28], f16)), {})
aten.add.Tensor
TorchBench/timm_efficientnet
((T([32, 144, 56, 56], f16), T([32, 144, 56, 56], f16)), {})
aten.add.Tensor
TorchBench/mobilenet_v3_large
((T([32, 16, 112, 112], f16), T([32, 16, 112, 112], f16)), {})
aten.add.Tensor
TorchBench/squeezenet1_1
((T([32, 16, 55, 55], f16), T([32, 16, 55, 55], f16)), {})
aten.add.Tensor
TorchBench/timm_vovnet
((T([32, 160, 28, 28], f16, stride=(827904, 784, 28, 1)), T([32, 160, 28, 28], f16)), {})
aten.add.Tensor
TorchBench/mobilenet_v3_large
((T([32, 160, 7, 7], f16), T([32, 160, 7, 7], f16)), {})
aten.add.Tensor
TorchBench/timm_vovnet
((T([32, 192, 14, 14], f16, stride=(288512, 196, 14, 1)), T([32, 192, 14, 14], f16)), {})
aten.add.Tensor
TorchBench/timm_vovnet
((T([32, 192, 14, 14], f16, stride=(338688, 196, 14, 1)), T([32, 192, 14, 14], f16)), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 192, 14, 14], f16, stride=(50176, 196, 14, 1)), T([32, 192, 14, 14], f16, stride=(238336, 196, 14, 1))), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 192, 28, 28], f16, stride=(200704, 784, 28, 1)), T([32, 192, 28, 28], f16, stride=(551936, 784, 28, 1))), {})
aten.add.Tensor
TorchBench/mnasnet1_0
((T([32, 192, 7, 7], f16), T([32, 192, 7, 7], f16)), {})
aten.add.Tensor
TorchBench/timm_efficientnet
((T([32, 192, 7, 7], f16), T([32, 192, 7, 7], f16)), {})
aten.add.Tensor
TIMM/twins_pcpvt_base
((T([32, 196, 320], f16), T([32, 196, 320], f16)), {})
aten.add.Tensor
TIMM/twins_pcpvt_base
((T([32, 196, 320], f16, stride=(62720, 1, 196)), T([32, 196, 320], f16)), {})
aten.add.Tensor
TIMM/resnest101e
((T([32, 2, 128, 32, 32], f16), T([32, 2, 128, 32, 32], f16, stride=(131072, 0, 1024, 32, 1))), {})
aten.add.Tensor
TorchBench/timm_resnest
((T([32, 2, 128, 56, 56], f16), T([32, 2, 128, 56, 56], f16, stride=(401408, 0, 3136, 56, 1))), {})
aten.add.Tensor
TIMM/resnest101e
((T([32, 2, 128, 64, 64], f16), T([32, 2, 128, 64, 64], f16, stride=(524288, 0, 4096, 64, 1))), {})
aten.add.Tensor
TIMM/resnest101e
((T([32, 2, 256, 16, 16], f16), T([32, 2, 256, 16, 16], f16, stride=(65536, 0, 256, 16, 1))), {})
aten.add.Tensor
TorchBench/timm_resnest
((T([32, 2, 256, 28, 28], f16), T([32, 2, 256, 28, 28], f16, stride=(200704, 0, 784, 28, 1))), {})
aten.add.Tensor
TIMM/resnest101e
((T([32, 2, 256, 32, 32], f16), T([32, 2, 256, 32, 32], f16, stride=(262144, 0, 1024, 32, 1))), {})
aten.add.Tensor
TorchBench/timm_resnest
((T([32, 2, 512, 14, 14], f16), T([32, 2, 512, 14, 14], f16, stride=(100352, 0, 196, 14, 1))), {})
aten.add.Tensor
TIMM/resnest101e
((T([32, 2, 512, 16, 16], f16), T([32, 2, 512, 16, 16], f16, stride=(131072, 0, 256, 16, 1))), {})
aten.add.Tensor
TIMM/resnest101e
((T([32, 2, 512, 8, 8], f16), T([32, 2, 512, 8, 8], f16, stride=(32768, 0, 64, 8, 1))), {})
aten.add.Tensor
TorchBench/timm_resnest
((T([32, 2, 64, 56, 56], f16), T([32, 2, 64, 56, 56], f16, stride=(200704, 0, 3136, 56, 1))), {})
aten.add.Tensor
TIMM/resnest101e
((T([32, 2, 64, 64, 64], f16), T([32, 2, 64, 64, 64], f16, stride=(262144, 0, 4096, 64, 1))), {})
aten.add.Tensor
TIMM/gluon_senet154
((T([32, 2048, 7, 7], f16), T([32, 2048, 7, 7], f16)), {})
aten.add.Tensor
TIMM/legacy_senet154
((T([32, 2048, 7, 7], f16), T([32, 2048, 7, 7], f16)), {})
aten.add.Tensor
TIMM/swsl_resnext101_32x16d
((T([32, 2048, 7, 7], f16), T([32, 2048, 7, 7], f16)), {})
aten.add.Tensor
TorchBench/resnet50
((T([32, 2048, 7, 7], f16), T([32, 2048, 7, 7], f16)), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 2048, 7, 7], f16), T([32, 2048, 7, 7], f16, stride=(106624, 49, 7, 1))), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 2048, 7, 7], f16), T([32, 2048, 7, 7], f16, stride=(119168, 49, 7, 1))), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 2048, 7, 7], f16, stride=(112896, 49, 7, 1)), T([32, 2048, 7, 7], f16, stride=(106624, 49, 7, 1))), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 2048, 7, 7], f16, stride=(131712, 49, 7, 1)), T([32, 2048, 7, 7], f16, stride=(125440, 49, 7, 1))), {})
aten.add.Tensor
TIMM/resnest101e
((T([32, 2048, 8, 8], f16), T([32, 2048, 8, 8], f16)), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 2176, 7, 7], f16), T([32, 2176, 7, 7], f16)), {})