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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