operator name
stringclasses 180
values | used in model
stringclasses 155
values | args
stringlengths 19
5.24k
|
|---|---|---|
aten.relu_.default
|
TIMM/densenet121
|
((T([64, 672, 14, 14], f16),), {})
|
aten.relu_.default
|
TIMM/densenet121
|
((T([64, 672, 7, 7], f16),), {})
|
aten.relu_.default
|
TIMM/densenet121
|
((T([64, 704, 14, 14], f16),), {})
|
aten.relu_.default
|
TIMM/densenet121
|
((T([64, 704, 7, 7], f16),), {})
|
aten.relu_.default
|
TIMM/densenet121
|
((T([64, 736, 14, 14], f16),), {})
|
aten.relu_.default
|
TIMM/densenet121
|
((T([64, 736, 7, 7], f16),), {})
|
aten.relu_.default
|
TIMM/densenet121
|
((T([64, 768, 14, 14], f16),), {})
|
aten.relu_.default
|
TIMM/densenet121
|
((T([64, 768, 7, 7], f16),), {})
|
aten.relu_.default
|
TIMM/sebotnet33ts_256
|
((T([64, 8, 1, 1], f16),), {})
|
aten.relu_.default
|
TIMM/densenet121
|
((T([64, 800, 14, 14], f16),), {})
|
aten.relu_.default
|
TIMM/densenet121
|
((T([64, 800, 7, 7], f16),), {})
|
aten.relu_.default
|
TIMM/densenet121
|
((T([64, 832, 14, 14], f16),), {})
|
aten.relu_.default
|
TIMM/res2net101_26w_4s
|
((T([64, 832, 14, 14], f16),), {})
|
aten.relu_.default
|
TIMM/densenet121
|
((T([64, 832, 7, 7], f16),), {})
|
aten.relu_.default
|
TIMM/res2net101_26w_4s
|
((T([64, 832, 7, 7], f16),), {})
|
aten.relu_.default
|
TIMM/densenet121
|
((T([64, 864, 14, 14], f16),), {})
|
aten.relu_.default
|
TIMM/densenet121
|
((T([64, 864, 7, 7], f16),), {})
|
aten.relu_.default
|
TIMM/densenet121
|
((T([64, 896, 14, 14], f16),), {})
|
aten.relu_.default
|
TIMM/densenet121
|
((T([64, 896, 7, 7], f16),), {})
|
aten.relu_.default
|
TIMM/densenet121
|
((T([64, 928, 14, 14], f16),), {})
|
aten.relu_.default
|
TIMM/densenet121
|
((T([64, 928, 7, 7], f16),), {})
|
aten.relu_.default
|
TIMM/densenet121
|
((T([64, 96, 56, 56], f16),), {})
|
aten.relu_.default
|
TIMM/densenet121
|
((T([64, 960, 14, 14], f16),), {})
|
aten.relu_.default
|
TIMM/densenet121
|
((T([64, 960, 7, 7], f16),), {})
|
aten.relu_.default
|
TIMM/densenet121
|
((T([64, 992, 14, 14], f16),), {})
|
aten.relu_.default
|
TIMM/densenet121
|
((T([64, 992, 7, 7], f16),), {})
|
aten.relu_.default
|
TorchBench/resnext50_32x4d
|
((T([8, 1024, 14, 14], f16),), {})
|
aten.relu_.default
|
TorchBench/resnext50_32x4d
|
((T([8, 1024, 7, 7], f16),), {})
|
aten.relu_.default
|
TorchBench/resnext50_32x4d
|
((T([8, 128, 56, 56], f16),), {})
|
aten.relu_.default
|
TorchBench/resnext50_32x4d
|
((T([8, 2048, 7, 7], f16),), {})
|
aten.relu_.default
|
TorchBench/resnext50_32x4d
|
((T([8, 256, 28, 28], f16),), {})
|
aten.relu_.default
|
TorchBench/resnext50_32x4d
|
((T([8, 256, 56, 56], f16),), {})
|
aten.relu_.default
|
TorchBench/resnext50_32x4d
|
((T([8, 512, 14, 14], f16),), {})
|
aten.relu_.default
|
TorchBench/resnext50_32x4d
|
((T([8, 512, 28, 28], f16),), {})
|
aten.relu_.default
|
TorchBench/resnext50_32x4d
|
((T([8, 64, 112, 112], f16),), {})
|
aten.remainder.Scalar
|
TorchBench/timm_efficientdet
|
((T([1, 5000], i64), 90), {})
|
aten.repeat.default
|
TorchBench/speech_transformer
|
((T([10, 204, 204], b8, stride=(204, 0, 1)), [8, 1, 1]), {})
|
aten.repeat.default
|
TorchBench/speech_transformer
|
((T([10, 22, 204], b8, stride=(204, 0, 1)), [8, 1, 1]), {})
|
aten.repeat.default
|
TorchBench/speech_transformer
|
((T([10, 22, 22], b8), [8, 1, 1]), {})
|
aten.repeat.default
|
TorchBench/pytorch_stargan
|
((T([128], f16), [16]), {})
|
aten.repeat.default
|
TorchBench/BERT_pytorch
|
((T([16, 1, 128], b8), [1, 128, 1]), {})
|
aten.repeat.default
|
TorchBench/pytorch_stargan
|
((T([16, 5, 1, 1], f16), [1, 1, 128, 128]), {})
|
aten.repeat.default
|
TorchBench/pytorch_stargan
|
((T([256], f16), [16]), {})
|
aten.repeat.default
|
TorchBench/pytorch_stargan
|
((T([64], f16), [16]), {})
|
aten.roll.default
|
TIMM/swin_base_patch4_window7_224
|
((T([64, 14, 14, 512], f16), [-3, -3], [1, 2]), {})
|
aten.roll.default
|
TIMM/swin_base_patch4_window7_224
|
((T([64, 14, 14, 512], f16), [-3, -3], [2, 1]), {})
|
aten.roll.default
|
TIMM/swin_base_patch4_window7_224
|
((T([64, 14, 14, 512], f16), [3, 3], [1, 2]), {})
|
aten.roll.default
|
TIMM/swin_base_patch4_window7_224
|
((T([64, 14, 14, 512], f16), [3, 3], [2, 1]), {})
|
aten.roll.default
|
TIMM/swin_base_patch4_window7_224
|
((T([64, 28, 28, 256], f16), [-3, -3], [1, 2]), {})
|
aten.roll.default
|
TIMM/swin_base_patch4_window7_224
|
((T([64, 28, 28, 256], f16), [-3, -3], [2, 1]), {})
|
aten.roll.default
|
TIMM/swin_base_patch4_window7_224
|
((T([64, 28, 28, 256], f16), [3, 3], [1, 2]), {})
|
aten.roll.default
|
TIMM/swin_base_patch4_window7_224
|
((T([64, 28, 28, 256], f16), [3, 3], [2, 1]), {})
|
aten.roll.default
|
TIMM/swin_base_patch4_window7_224
|
((T([64, 56, 56, 128], f16), [-3, -3], [1, 2]), {})
|
aten.roll.default
|
TIMM/swin_base_patch4_window7_224
|
((T([64, 56, 56, 128], f16), [-3, -3], [2, 1]), {})
|
aten.roll.default
|
TIMM/swin_base_patch4_window7_224
|
((T([64, 56, 56, 128], f16), [3, 3], [1, 2]), {})
|
aten.roll.default
|
TIMM/swin_base_patch4_window7_224
|
((T([64, 56, 56, 128], f16), [3, 3], [2, 1]), {})
|
aten.round.default
|
TorchBench/vision_maskrcnn
|
((T([], f32),), {})
|
aten.rsqrt.default
|
TorchBench/vision_maskrcnn
|
((T([1, 1024, 1, 1], f16),), {})
|
aten.rsqrt.default
|
TorchBench/vision_maskrcnn
|
((T([1, 128, 1, 1], f16),), {})
|
aten.rsqrt.default
|
TorchBench/vision_maskrcnn
|
((T([1, 2048, 1, 1], f16),), {})
|
aten.rsqrt.default
|
TorchBench/vision_maskrcnn
|
((T([1, 256, 1, 1], f16),), {})
|
aten.rsqrt.default
|
TorchBench/vision_maskrcnn
|
((T([1, 512, 1, 1], f16),), {})
|
aten.rsqrt.default
|
TorchBench/vision_maskrcnn
|
((T([1, 64, 1, 1], f16),), {})
|
aten.rsqrt.default
|
TIMM/convnext_base
|
((T([32, 1, 14, 14], f16),), {})
|
aten.rsqrt.default
|
TIMM/convnext_base
|
((T([32, 1, 28, 28], f16),), {})
|
aten.rsqrt.default
|
TIMM/convnext_base
|
((T([32, 1, 56, 56], f16),), {})
|
aten.rsub.Scalar
|
HuggingFace/BigBird
|
((T([1, 1, 1, 1, 64], f16), 1.0), {})
|
aten.rsub.Scalar
|
HuggingFace/AllenaiLongformerBase
|
((T([1, 1, 1, 1024], f16), 1.0), {})
|
aten.rsub.Scalar
|
HuggingFace/BigBird
|
((T([1, 1, 1, 1024], f16), 1.0), {})
|
aten.rsub.Scalar
|
HuggingFace/CamemBert
|
((T([1, 1, 1, 512], f16), 1.0), {})
|
aten.rsub.Scalar
|
HuggingFace/ElectraForCausalLM
|
((T([1, 1, 1, 512], f16), 1.0), {})
|
aten.rsub.Scalar
|
HuggingFace/YituTechConvBert
|
((T([1, 1, 1, 512], f16), 1.0), {})
|
aten.rsub.Scalar
|
HuggingFace/BigBird
|
((T([1, 1, 12, 64, 192], f16), 1.0), {})
|
aten.rsub.Scalar
|
HuggingFace/BigBird
|
((T([1, 12, 12, 64, 192], f32, stride=(2064384, 172032, 12288, 192, 1)), 1.0), {})
|
aten.rsub.Scalar
|
HuggingFace/BigBird
|
((T([1, 12, 64, 448], f32), 1.0), {})
|
aten.rsub.Scalar
|
TorchBench/attention_is_all_you_need_pytorch
|
((T([1, 31, 31], f32), 1), {})
|
aten.rsub.Scalar
|
HuggingFace/MobileBertForMaskedLM
|
((T([16, 1, 1, 128], f16), 1.0), {})
|
aten.rsub.Scalar
|
HuggingFace/LayoutLMForMaskedLM
|
((T([16, 1, 1, 512], f16), 1.0), {})
|
aten.rsub.Scalar
|
HuggingFace/LayoutLMForSequenceClassification
|
((T([16, 1, 1, 512], f16), 1.0), {})
|
aten.rsub.Scalar
|
TorchBench/hf_BigBird
|
((T([2, 1, 1, 1, 64], f16, stride=(1024, 1024, 1024, 64, 1)), 1.0), {})
|
aten.rsub.Scalar
|
TorchBench/hf_BigBird
|
((T([2, 1, 1, 1024], f16), 1.0), {})
|
aten.rsub.Scalar
|
TorchBench/hf_Longformer
|
((T([2, 1, 1, 1024], f16), 1.0), {})
|
aten.rsub.Scalar
|
HuggingFace/MegatronBertForCausalLM
|
((T([2, 1, 1, 128], f16), 1.0), {})
|
aten.rsub.Scalar
|
HuggingFace/AlbertForMaskedLM
|
((T([2, 1, 1, 512], f16), 1.0), {})
|
aten.rsub.Scalar
|
HuggingFace/AlbertForQuestionAnswering
|
((T([2, 1, 1, 512], f16), 1.0), {})
|
aten.rsub.Scalar
|
TorchBench/hf_BigBird
|
((T([2, 1, 12, 64, 192], f16), 1.0), {})
|
aten.rsub.Scalar
|
TorchBench/hf_BigBird
|
((T([2, 12, 12, 64, 192], f32, stride=(2064384, 172032, 12288, 192, 1)), 1.0), {})
|
aten.rsub.Scalar
|
TorchBench/hf_BigBird
|
((T([2, 12, 64, 448], f32), 1.0), {})
|
aten.rsub.Scalar
|
HuggingFace/MobileBertForQuestionAnswering
|
((T([32, 1, 1, 128], f16), 1.0), {})
|
aten.rsub.Scalar
|
HuggingFace/RobertaForCausalLM
|
((T([4, 1, 1, 128], f16), 1.0), {})
|
aten.rsub.Scalar
|
TorchBench/hf_Bert
|
((T([4, 1, 1, 512], f16), 1.0), {})
|
aten.rsub.Scalar
|
HuggingFace/OPTForCausalLM
|
((T([4, 1, 128, 128], f16), 1.0), {})
|
aten.rsub.Scalar
|
TorchBench/fastNLP_Bert
|
((T([6, 1, 1, 476], f16), 1.0), {})
|
aten.rsub.Scalar
|
TorchBench/Super_SloMo
|
((T([6, 1, 352, 352], f16), 1), {})
|
aten.rsub.Scalar
|
HuggingFace/BertForMaskedLM
|
((T([64, 1, 1, 128], f16), 1.0), {})
|
aten.rsub.Scalar
|
HuggingFace/BertForQuestionAnswering
|
((T([64, 1, 1, 128], f16), 1.0), {})
|
aten.rsub.Scalar
|
HuggingFace/RobertaForQuestionAnswering
|
((T([64, 1, 1, 128], f16), 1.0), {})
|
aten.rsub.Scalar
|
HuggingFace/ElectraForQuestionAnswering
|
((T([64, 1, 1, 512], f16), 1.0), {})
|
aten.rsub.Scalar
|
TorchBench/Super_SloMo
|
((T([6], f16), 1), {})
|
aten.rsub.Scalar
|
HuggingFace/MegatronBertForQuestionAnswering
|
((T([8, 1, 1, 128], f16), 1.0), {})
|
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