operator name
stringclasses
180 values
used in model
stringclasses
155 values
args
stringlengths
19
5.24k
aten.add_.Tensor
HuggingFace/AlbertForMaskedLM
((T([2, 512, 128], f16), T([1, 512, 128], f16)), {})
aten.add_.Tensor
HuggingFace/AlbertForQuestionAnswering
((T([2, 512, 128], f16), T([1, 512, 128], f16)), {})
aten.add_.Tensor
TorchBench/attention_is_all_you_need_pytorch
((T([256, 31, 512], f16), T([256, 31, 512], f16)), {})
aten.add_.Tensor
TorchBench/attention_is_all_you_need_pytorch
((T([256, 33, 512], f16), T([256, 33, 512], f16)), {})
aten.add_.Tensor
TIMM/gluon_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/resnest101e
((T([32, 1024, 16, 16], f16), T([32, 1024, 16, 16], f16)), {})
aten.add_.Tensor
TorchBench/mobilenet_v3_large
((T([32, 112, 14, 14], f16), T([32, 112, 14, 14], f16)), {})
aten.add_.Tensor
TIMM/twins_pcpvt_base
((T([32, 128, 28, 28], f16, stride=(100352, 1, 3584, 128)), T([32, 128, 28, 28], f16, stride=(100352, 1, 3584, 128))), {})
aten.add_.Tensor
TorchBench/mobilenet_v3_large
((T([32, 16, 112, 112], f16), T([32, 16, 112, 112], f16)), {})
aten.add_.Tensor
TorchBench/mobilenet_v3_large
((T([32, 160, 7, 7], f16), T([32, 160, 7, 7], f16)), {})
aten.add_.Tensor
TIMM/gluon_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
TorchBench/timm_resnest
((T([32, 2048, 7, 7], f16), T([32, 2048, 7, 7], f16)), {})
aten.add_.Tensor
TIMM/resnest101e
((T([32, 2048, 8, 8], f16), T([32, 2048, 8, 8], f16)), {})
aten.add_.Tensor
TorchBench/mobilenet_v3_large
((T([32, 24, 56, 56], f16), T([32, 24, 56, 56], f16)), {})
aten.add_.Tensor
TIMM/gluon_senet154
((T([32, 256, 56, 56], f16), T([32, 256, 56, 56], f16)), {})
aten.add_.Tensor
TIMM/swsl_resnext101_32x16d
((T([32, 256, 56, 56], f16), T([32, 256, 56, 56], f16)), {})
aten.add_.Tensor
TorchBench/resnet50
((T([32, 256, 56, 56], f16), T([32, 256, 56, 56], f16)), {})
aten.add_.Tensor
TorchBench/timm_resnest
((T([32, 256, 56, 56], f16), T([32, 256, 56, 56], f16)), {})
aten.add_.Tensor
TIMM/resnest101e
((T([32, 256, 64, 64], f16), T([32, 256, 64, 64], f16)), {})
aten.add_.Tensor
TIMM/twins_pcpvt_base
((T([32, 320, 14, 14], f16, stride=(62720, 1, 4480, 320)), T([32, 320, 14, 14], f16, stride=(62720, 1, 4480, 320))), {})
aten.add_.Tensor
TorchBench/mobilenet_v3_large
((T([32, 40, 28, 28], f16), T([32, 40, 28, 28], f16)), {})
aten.add_.Tensor
TIMM/gluon_senet154
((T([32, 512, 28, 28], f16), T([32, 512, 28, 28], f16)), {})
aten.add_.Tensor
TIMM/swsl_resnext101_32x16d
((T([32, 512, 28, 28], f16), T([32, 512, 28, 28], f16)), {})
aten.add_.Tensor
TorchBench/resnet50
((T([32, 512, 28, 28], f16), T([32, 512, 28, 28], f16)), {})
aten.add_.Tensor
TorchBench/timm_resnest
((T([32, 512, 28, 28], f16), T([32, 512, 28, 28], f16)), {})
aten.add_.Tensor
TIMM/resnest101e
((T([32, 512, 32, 32], f16), T([32, 512, 32, 32], f16)), {})
aten.add_.Tensor
TIMM/twins_pcpvt_base
((T([32, 512, 7, 7], f16, stride=(25088, 1, 3584, 512)), T([32, 512, 7, 7], f16, stride=(25088, 1, 3584, 512))), {})
aten.add_.Tensor
TIMM/twins_pcpvt_base
((T([32, 64, 56, 56], f16, stride=(200704, 1, 3584, 64)), T([32, 64, 56, 56], f16, stride=(200704, 1, 3584, 64))), {})
aten.add_.Tensor
TorchBench/mobilenet_v3_large
((T([32, 80, 14, 14], f16), T([32, 80, 14, 14], f16)), {})
aten.add_.Tensor
TorchBench/vision_maskrcnn
((T([4, 1024, 74, 76], f16), T([4, 1024, 74, 76], f16)), {})
aten.add_.Tensor
HuggingFace/RobertaForCausalLM
((T([4, 128, 768], f16), T([4, 128, 768], f16)), {})
aten.add_.Tensor
TorchBench/vision_maskrcnn
((T([4, 2048, 37, 38], f16), T([4, 2048, 37, 38], f16)), {})
aten.add_.Tensor
TorchBench/vision_maskrcnn
((T([4, 256, 296, 304], f16), T([4, 256, 296, 304], f16)), {})
aten.add_.Tensor
TorchBench/vision_maskrcnn
((T([4, 512, 148, 152], f16), T([4, 512, 148, 152], f16)), {})
aten.add_.Tensor
HuggingFace/DebertaForMaskedLM
((T([4, 512, 768], f16), T([1, 512, 768], f16)), {})
aten.add_.Tensor
HuggingFace/DebertaForQuestionAnswering
((T([4, 512, 768], f16), T([1, 512, 768], f16)), {})
aten.add_.Tensor
TorchBench/hf_Bert
((T([4, 512, 768], f16), T([1, 512, 768], f16)), {})
aten.add_.Tensor
TIMM/ecaresnet101d
((T([64, 1024, 14, 14], f16), T([64, 1024, 14, 14], f16)), {})
aten.add_.Tensor
TIMM/res2net101_26w_4s
((T([64, 1024, 14, 14], f16), T([64, 1024, 14, 14], f16)), {})
aten.add_.Tensor
TIMM/dla102
((T([64, 1024, 7, 7], f16), T([64, 1024, 7, 7], f16)), {})
aten.add_.Tensor
TIMM/dla102
((T([64, 128, 56, 56], f16), T([64, 128, 56, 56], f16)), {})
aten.add_.Tensor
HuggingFace/BertForMaskedLM
((T([64, 128, 768], f16), T([1, 128, 768], f16)), {})
aten.add_.Tensor
HuggingFace/BertForQuestionAnswering
((T([64, 128, 768], f16), T([1, 128, 768], f16)), {})
aten.add_.Tensor
HuggingFace/RobertaForQuestionAnswering
((T([64, 128, 768], f16), T([64, 128, 768], f16)), {})
aten.add_.Tensor
TIMM/ecaresnet101d
((T([64, 2048, 7, 7], f16), T([64, 2048, 7, 7], f16)), {})
aten.add_.Tensor
TIMM/res2net101_26w_4s
((T([64, 2048, 7, 7], f16), T([64, 2048, 7, 7], f16)), {})
aten.add_.Tensor
TIMM/dla102
((T([64, 256, 28, 28], f16), T([64, 256, 28, 28], f16)), {})
aten.add_.Tensor
TIMM/ecaresnet101d
((T([64, 256, 56, 56], f16), T([64, 256, 56, 56], f16)), {})
aten.add_.Tensor
TIMM/res2net101_26w_4s
((T([64, 256, 56, 56], f16), T([64, 256, 56, 56], f16)), {})
aten.add_.Tensor
HuggingFace/ElectraForQuestionAnswering
((T([64, 512, 128], f16), T([1, 512, 128], f16)), {})
aten.add_.Tensor
TIMM/dla102
((T([64, 512, 14, 14], f16), T([64, 512, 14, 14], f16)), {})
aten.add_.Tensor
TIMM/ecaresnet101d
((T([64, 512, 28, 28], f16), T([64, 512, 28, 28], f16)), {})
aten.add_.Tensor
TIMM/res2net101_26w_4s
((T([64, 512, 28, 28], f16), T([64, 512, 28, 28], f16)), {})
aten.add_.Tensor
TorchBench/resnext50_32x4d
((T([8, 1024, 14, 14], f16), T([8, 1024, 14, 14], f16)), {})
aten.add_.Tensor
HuggingFace/MegatronBertForQuestionAnswering
((T([8, 128, 1024], f16), T([1, 128, 1024], f16)), {})
aten.add_.Tensor
TorchBench/resnext50_32x4d
((T([8, 2048, 7, 7], f16), T([8, 2048, 7, 7], f16)), {})
aten.add_.Tensor
TorchBench/resnext50_32x4d
((T([8, 256, 56, 56], f16), T([8, 256, 56, 56], f16)), {})
aten.add_.Tensor
TorchBench/hf_Albert
((T([8, 512, 128], f16), T([1, 512, 128], f16)), {})
aten.add_.Tensor
TorchBench/resnext50_32x4d
((T([8, 512, 28, 28], f16), T([8, 512, 28, 28], f16)), {})
aten.add_.Tensor
TorchBench/LearningToPaint
((T([96, 128, 16, 16], f16), T([96, 128, 16, 16], f16)), {})
aten.add_.Tensor
TorchBench/LearningToPaint
((T([96, 256, 8, 8], f16), T([96, 256, 8, 8], f16)), {})
aten.add_.Tensor
TorchBench/LearningToPaint
((T([96, 512, 4, 4], f16), T([96, 512, 4, 4], f16)), {})
aten.add_.Tensor
TorchBench/LearningToPaint
((T([96, 64, 32, 32], f16), T([96, 64, 32, 32], f16)), {})
aten.add_.Tensor
TIMM/adv_inception_v3
((T([], i64), 1), {})
aten.add_.Tensor
TIMM/convmixer_768_32
((T([], i64), 1), {})
aten.add_.Tensor
TIMM/dla102
((T([], i64), 1), {})
aten.add_.Tensor
TIMM/ecaresnet101d
((T([], i64), 1), {})
aten.add_.Tensor
TIMM/ghostnet_100
((T([], i64), 1), {})
aten.add_.Tensor
TIMM/gluon_inception_v3
((T([], i64), 1), {})
aten.add_.Tensor
TIMM/gluon_senet154
((T([], i64), 1), {})
aten.add_.Tensor
TIMM/gluon_xception65
((T([], i64), 1), {})
aten.add_.Tensor
TIMM/hrnet_w18
((T([], i64), 1), {})
aten.add_.Tensor
TIMM/inception_v3
((T([], i64), 1), {})
aten.add_.Tensor
TIMM/legacy_senet154
((T([], i64), 1), {})
aten.add_.Tensor
TIMM/levit_128
((T([], i64), 1), {})
aten.add_.Tensor
TIMM/nasnetalarge
((T([], i64), 1), {})
aten.add_.Tensor
TIMM/pnasnet5large
((T([], i64), 1), {})
aten.add_.Tensor
TIMM/res2net101_26w_4s
((T([], i64), 1), {})
aten.add_.Tensor
TIMM/res2net50_14w_8s
((T([], i64), 1), {})
aten.add_.Tensor
TIMM/res2next50
((T([], i64), 1), {})
aten.add_.Tensor
TIMM/resnest101e
((T([], i64), 1), {})
aten.add_.Tensor
TIMM/resnet18
((T([], i64), 1), {})
aten.add_.Tensor
TIMM/rexnet_100
((T([], i64), 1), {})
aten.add_.Tensor
TIMM/selecsls42b
((T([], i64), 1), {})
aten.add_.Tensor
TIMM/swsl_resnext101_32x16d
((T([], i64), 1), {})
aten.add_.Tensor
TIMM/visformer_small
((T([], i64), 1), {})
aten.add_.Tensor
TIMM/volo_d1_224
((T([], i64), 1), {})
aten.addcmul.default
TIMM/resmlp_12_224
((T([1, 1, 384], f16), T([1, 1, 384], f16), T([128, 196, 384], f16, stride=(75264, 1, 196))), {})
aten.addmm.default
TIMM/ese_vovnet19b_dw
((T([1000], f16), T([128, 1024], f16), T([1024, 1000], f16, stride=(1, 1024))), {})
aten.addmm.default
TIMM/selecsls42b
((T([1000], f16), T([128, 1024], f16), T([1024, 1000], f16, stride=(1, 1024))), {})
aten.addmm.default
TorchBench/shufflenet_v2_x1_0
((T([1000], f16), T([128, 1024], f16), T([1024, 1000], f16, stride=(1, 1024))), {})
aten.addmm.default
TIMM/ghostnet_100
((T([1000], f16), T([128, 1280], f16), T([1280, 1000], f16, stride=(1, 1280))), {})
aten.addmm.default
TIMM/hardcorenas_a
((T([1000], f16), T([128, 1280], f16), T([1280, 1000], f16, stride=(1, 1280))), {})
aten.addmm.default
TIMM/lcnet_050
((T([1000], f16), T([128, 1280], f16), T([1280, 1000], f16, stride=(1, 1280))), {})
aten.addmm.default
TIMM/mnasnet_100
((T([1000], f16), T([128, 1280], f16), T([1280, 1000], f16, stride=(1, 1280))), {})