operator name stringclasses 180 values | used in model stringclasses 155 values | args stringlengths 19 5.24k |
|---|---|---|
aten.addmm.default | HuggingFace/DebertaForQuestionAnswering | ((T([768], f16), T([2048, 768], f16), T([768, 768], f16, stride=(1, 768))), {}) |
aten.addmm.default | HuggingFace/DistilBertForMaskedLM | ((T([768], f16), T([2048, 768], f16), T([768, 768], f16, stride=(1, 768))), {}) |
aten.addmm.default | HuggingFace/PLBartForCausalLM | ((T([768], f16), T([2048, 768], f16), T([768, 768], f16, stride=(1, 768))), {}) |
aten.addmm.default | TorchBench/BERT_pytorch | ((T([768], f16), T([2048, 768], f16), T([768, 768], f16, stride=(1, 768))), {}) |
aten.addmm.default | TorchBench/hf_Bart | ((T([768], f16), T([2048, 768], f16), T([768, 768], f16, stride=(1, 768))), {}) |
aten.addmm.default | TorchBench/hf_Bert | ((T([768], f16), T([2048, 768], f16), T([768, 768], f16, stride=(1, 768))), {}) |
aten.addmm.default | TorchBench/hf_BigBird | ((T([768], f16), T([2048, 768], f16), T([768, 768], f16, stride=(1, 768))), {}) |
aten.addmm.default | TorchBench/hf_Longformer | ((T([768], f16), T([2048, 768], f16), T([768, 768], f16, stride=(1, 768))), {}) |
aten.addmm.default | TorchBench/fastNLP_Bert | ((T([768], f16), T([2856, 3072], f16), T([3072, 768], f16, stride=(1, 3072))), {}) |
aten.addmm.default | TorchBench/fastNLP_Bert | ((T([768], f16), T([2856, 768], f16), T([768, 768], f16, stride=(1, 768))), {}) |
aten.addmm.default | TorchBench/hf_Albert | ((T([768], f16), T([4096, 128], f16), T([128, 768], f16, stride=(1, 128))), {}) |
aten.addmm.default | HuggingFace/GPT2ForSequenceClassification | ((T([768], f16), T([4096, 3072], f16), T([3072, 768], f16)), {}) |
aten.addmm.default | HuggingFace/DistilBertForQuestionAnswering | ((T([768], f16), T([4096, 3072], f16), T([3072, 768], f16, stride=(1, 3072))), {}) |
aten.addmm.default | TorchBench/hf_Albert | ((T([768], f16), T([4096, 3072], f16), T([3072, 768], f16, stride=(1, 3072))), {}) |
aten.addmm.default | TorchBench/hf_DistilBert | ((T([768], f16), T([4096, 3072], f16), T([3072, 768], f16, stride=(1, 3072))), {}) |
aten.addmm.default | HuggingFace/GPT2ForSequenceClassification | ((T([768], f16), T([4096, 768], f16), T([768, 768], f16)), {}) |
aten.addmm.default | HuggingFace/DistilBertForQuestionAnswering | ((T([768], f16), T([4096, 768], f16), T([768, 768], f16, stride=(1, 768))), {}) |
aten.addmm.default | TorchBench/hf_Albert | ((T([768], f16), T([4096, 768], f16), T([768, 768], f16, stride=(1, 768))), {}) |
aten.addmm.default | TorchBench/hf_DistilBert | ((T([768], f16), T([4096, 768], f16), T([768, 768], f16, stride=(1, 768))), {}) |
aten.addmm.default | TIMM/swin_base_patch4_window7_224 | ((T([768], f16), T([50176, 256], f16), T([256, 768], f16, stride=(1, 256))), {}) |
aten.addmm.default | HuggingFace/DistillGPT2 | ((T([768], f16), T([512, 3072], f16), T([3072, 768], f16)), {}) |
aten.addmm.default | HuggingFace/CamemBert | ((T([768], f16), T([512, 3072], f16), T([3072, 768], f16, stride=(1, 3072))), {}) |
aten.addmm.default | HuggingFace/GoogleFnet | ((T([768], f16), T([512, 3072], f16), T([3072, 768], f16, stride=(1, 3072))), {}) |
aten.addmm.default | HuggingFace/OPTForCausalLM | ((T([768], f16), T([512, 3072], f16), T([3072, 768], f16, stride=(1, 3072))), {}) |
aten.addmm.default | HuggingFace/RobertaForCausalLM | ((T([768], f16), T([512, 3072], f16), T([3072, 768], f16, stride=(1, 3072))), {}) |
aten.addmm.default | HuggingFace/YituTechConvBert | ((T([768], f16), T([512, 3072], f16), T([3072, 768], f16, stride=(1, 3072))), {}) |
aten.addmm.default | HuggingFace/DistillGPT2 | ((T([768], f16), T([512, 768], f16), T([768, 768], f16)), {}) |
aten.addmm.default | HuggingFace/CamemBert | ((T([768], f16), T([512, 768], f16), T([768, 768], f16, stride=(1, 768))), {}) |
aten.addmm.default | HuggingFace/GoogleFnet | ((T([768], f16), T([512, 768], f16), T([768, 768], f16, stride=(1, 768))), {}) |
aten.addmm.default | HuggingFace/OPTForCausalLM | ((T([768], f16), T([512, 768], f16), T([768, 768], f16, stride=(1, 768))), {}) |
aten.addmm.default | HuggingFace/RobertaForCausalLM | ((T([768], f16), T([512, 768], f16), T([768, 768], f16, stride=(1, 768))), {}) |
aten.addmm.default | HuggingFace/YituTechConvBert | ((T([768], f16), T([512, 768], f16), T([768, 768], f16, stride=(1, 768))), {}) |
aten.addmm.default | TorchBench/fastNLP_Bert | ((T([768], f16), T([6, 768], f16, stride=(365568, 1)), T([768, 768], f16, stride=(1, 768))), {}) |
aten.addmm.default | TIMM/pit_b_224 | ((T([768], f16), T([61568, 256], f16), T([256, 768], f16, stride=(1, 256))), {}) |
aten.addmm.default | HuggingFace/BertForMaskedLM | ((T([768], f16), T([8192, 3072], f16), T([3072, 768], f16, stride=(1, 3072))), {}) |
aten.addmm.default | HuggingFace/BertForQuestionAnswering | ((T([768], f16), T([8192, 3072], f16), T([3072, 768], f16, stride=(1, 3072))), {}) |
aten.addmm.default | HuggingFace/LayoutLMForMaskedLM | ((T([768], f16), T([8192, 3072], f16), T([3072, 768], f16, stride=(1, 3072))), {}) |
aten.addmm.default | HuggingFace/LayoutLMForSequenceClassification | ((T([768], f16), T([8192, 3072], f16), T([3072, 768], f16, stride=(1, 3072))), {}) |
aten.addmm.default | HuggingFace/RobertaForQuestionAnswering | ((T([768], f16), T([8192, 3072], f16), T([3072, 768], f16, stride=(1, 3072))), {}) |
aten.addmm.default | HuggingFace/BertForMaskedLM | ((T([768], f16), T([8192, 768], f16), T([768, 768], f16, stride=(1, 768))), {}) |
aten.addmm.default | HuggingFace/BertForQuestionAnswering | ((T([768], f16), T([8192, 768], f16), T([768, 768], f16, stride=(1, 768))), {}) |
aten.addmm.default | HuggingFace/LayoutLMForMaskedLM | ((T([768], f16), T([8192, 768], f16), T([768, 768], f16, stride=(1, 768))), {}) |
aten.addmm.default | HuggingFace/LayoutLMForSequenceClassification | ((T([768], f16), T([8192, 768], f16), T([768, 768], f16, stride=(1, 768))), {}) |
aten.addmm.default | HuggingFace/RobertaForQuestionAnswering | ((T([768], f16), T([8192, 768], f16), T([768, 768], f16, stride=(1, 768))), {}) |
aten.addmm.default | HuggingFace/GPTNeoForCausalLM | ((T([8192], f16), T([128, 2048], f16), T([2048, 8192], f16, stride=(1, 2048))), {}) |
aten.addmm.default | HuggingFace/GPTNeoForSequenceClassification | ((T([8192], f16), T([128, 2048], f16), T([2048, 8192], f16, stride=(1, 2048))), {}) |
aten.addmm.default | TorchBench/vision_maskrcnn | ((T([91], f16), T([0, 1024], f16), T([1024, 91], f16, stride=(1, 1024))), {}) |
aten.addmm.default | TIMM/coat_lite_mini | ((T([960], f16), T([25216, 320], f16), T([320, 960], f16, stride=(1, 320))), {}) |
aten.addmm.default | TIMM/tnt_s_patch16_224 | ((T([96], f16), T([200704, 24], f16), T([24, 96], f16, stride=(1, 24))), {}) |
aten.any.default | HuggingFace/AllenaiLongformerBase | ((T([1024], b8),), {}) |
aten.any.default | HuggingFace/BartForConditionalGeneration | ((T([2, 1024, 1024], b8),), {}) |
aten.any.default | HuggingFace/M2M100ForConditionalGeneration | ((T([2, 128, 1024], b8),), {}) |
aten.any.default | TorchBench/hf_Longformer | ((T([2048], b8),), {}) |
aten.any.default | HuggingFace/PegasusForConditionalGeneration | ((T([4, 128, 1024], b8),), {}) |
aten.any.default | TorchBench/hf_Bart | ((T([4, 512, 768], b8),), {}) |
aten.any.default | HuggingFace/BlenderbotSmallForConditionalGeneration | ((T([64, 128, 512], b8),), {}) |
aten.any.default | HuggingFace/MBartForConditionalGeneration | ((T([8, 128, 1024], b8),), {}) |
aten.any.default | HuggingFace/PLBartForConditionalGeneration | ((T([8, 128, 768], b8),), {}) |
aten.as_strided_.default | TIMM/convnext_base | ((T([32, 1024, 1, 1], f16), [32, 1024, 1, 1], [1024, 1, 1024, 1024]), {}) |
aten.as_strided_.default | TIMM/jx_nest_base | ((T([64, 512, 1, 1], f16), [64, 512, 1, 1], [512, 1, 512, 512]), {}) |
aten.avg_pool2d.default | TIMM/res2net50_14w_8s | ((T([128, 112, 14, 14], f16, stride=(175616, 196, 14, 1)), [3, 3], [2, 2], [1, 1]), {}) |
aten.avg_pool2d.default | TIMM/res2next50 | ((T([128, 128, 28, 28], f16, stride=(401408, 784, 28, 1)), [3, 3], [2, 2], [1, 1]), {}) |
aten.avg_pool2d.default | TIMM/adv_inception_v3 | ((T([128, 1280, 8, 8], f16), [3, 3], [1, 1], [1, 1]), {}) |
aten.avg_pool2d.default | TIMM/gluon_inception_v3 | ((T([128, 1280, 8, 8], f16), [3, 3], [1, 1], [1, 1]), {}) |
aten.avg_pool2d.default | TIMM/inception_v3 | ((T([128, 1280, 8, 8], f16), [3, 3], [1, 1], [1, 1]), {}) |
aten.avg_pool2d.default | TIMM/res2net50_14w_8s | ((T([128, 14, 56, 56], f16, stride=(351232, 3136, 56, 1)), [3, 3], [1, 1], [1, 1]), {}) |
aten.avg_pool2d.default | TIMM/dm_nfnet_f0 | ((T([128, 1536, 12, 12], f16), [2, 2], [2, 2], [0, 0], True, False), {}) |
aten.avg_pool2d.default | TorchBench/timm_nfnet | ((T([128, 1536, 12, 12], f16), [2, 2], [2, 2], [0, 0], True, False), {}) |
aten.avg_pool2d.default | TIMM/nfnet_l0 | ((T([128, 1536, 14, 14], f16), [2, 2], [2, 2], [0, 0], True, False), {}) |
aten.avg_pool2d.default | TIMM/adv_inception_v3 | ((T([128, 192, 35, 35], f16), [3, 3], [1, 1], [1, 1]), {}) |
aten.avg_pool2d.default | TIMM/gluon_inception_v3 | ((T([128, 192, 35, 35], f16), [3, 3], [1, 1], [1, 1]), {}) |
aten.avg_pool2d.default | TIMM/inception_v3 | ((T([128, 192, 35, 35], f16), [3, 3], [1, 1], [1, 1]), {}) |
aten.avg_pool2d.default | TIMM/adv_inception_v3 | ((T([128, 2048, 8, 8], f16), [3, 3], [1, 1], [1, 1]), {}) |
aten.avg_pool2d.default | TIMM/gluon_inception_v3 | ((T([128, 2048, 8, 8], f16), [3, 3], [1, 1], [1, 1]), {}) |
aten.avg_pool2d.default | TIMM/inception_v3 | ((T([128, 2048, 8, 8], f16), [3, 3], [1, 1], [1, 1]), {}) |
aten.avg_pool2d.default | TIMM/res2next50 | ((T([128, 256, 14, 14], f16, stride=(200704, 196, 14, 1)), [3, 3], [2, 2], [1, 1]), {}) |
aten.avg_pool2d.default | TIMM/adv_inception_v3 | ((T([128, 256, 35, 35], f16), [3, 3], [1, 1], [1, 1]), {}) |
aten.avg_pool2d.default | TIMM/gluon_inception_v3 | ((T([128, 256, 35, 35], f16), [3, 3], [1, 1], [1, 1]), {}) |
aten.avg_pool2d.default | TIMM/inception_v3 | ((T([128, 256, 35, 35], f16), [3, 3], [1, 1], [1, 1]), {}) |
aten.avg_pool2d.default | TIMM/dm_nfnet_f0 | ((T([128, 256, 48, 48], f16), [2, 2], [2, 2], [0, 0], True, False), {}) |
aten.avg_pool2d.default | TorchBench/timm_nfnet | ((T([128, 256, 48, 48], f16), [2, 2], [2, 2], [0, 0], True, False), {}) |
aten.avg_pool2d.default | TIMM/nfnet_l0 | ((T([128, 256, 56, 56], f16), [2, 2], [2, 2], [0, 0], True, False), {}) |
aten.avg_pool2d.default | TIMM/res2net50_14w_8s | ((T([128, 28, 56, 56], f16, stride=(702464, 3136, 56, 1)), [3, 3], [2, 2], [1, 1]), {}) |
aten.avg_pool2d.default | TIMM/adv_inception_v3 | ((T([128, 288, 35, 35], f16), [3, 3], [1, 1], [1, 1]), {}) |
aten.avg_pool2d.default | TIMM/gluon_inception_v3 | ((T([128, 288, 35, 35], f16), [3, 3], [1, 1], [1, 1]), {}) |
aten.avg_pool2d.default | TIMM/inception_v3 | ((T([128, 288, 35, 35], f16), [3, 3], [1, 1], [1, 1]), {}) |
aten.avg_pool2d.default | TIMM/res2next50 | ((T([128, 32, 56, 56], f16, stride=(401408, 3136, 56, 1)), [3, 3], [1, 1], [1, 1]), {}) |
aten.avg_pool2d.default | TIMM/botnet26t_256 | ((T([128, 512, 16, 16], f16), [2, 2], [2, 2]), {}) |
aten.avg_pool2d.default | TIMM/eca_botnext26ts_256 | ((T([128, 512, 16, 16], f16), [2, 2], [2, 2]), {}) |
aten.avg_pool2d.default | TIMM/dm_nfnet_f0 | ((T([128, 512, 24, 24], f16), [2, 2], [2, 2], [0, 0], True, False), {}) |
aten.avg_pool2d.default | TorchBench/timm_nfnet | ((T([128, 512, 24, 24], f16), [2, 2], [2, 2], [0, 0], True, False), {}) |
aten.avg_pool2d.default | TIMM/nfnet_l0 | ((T([128, 512, 28, 28], f16), [2, 2], [2, 2], [0, 0], True, False), {}) |
aten.avg_pool2d.default | TIMM/res2net50_14w_8s | ((T([128, 56, 28, 28], f16, stride=(351232, 784, 28, 1)), [3, 3], [2, 2], [1, 1]), {}) |
aten.avg_pool2d.default | TIMM/res2next50 | ((T([128, 64, 56, 56], f16, stride=(802816, 3136, 56, 1)), [3, 3], [2, 2], [1, 1]), {}) |
aten.avg_pool2d.default | TIMM/adv_inception_v3 | ((T([128, 768, 17, 17], f16), [3, 3], [1, 1], [1, 1]), {}) |
aten.avg_pool2d.default | TIMM/gluon_inception_v3 | ((T([128, 768, 17, 17], f16), [3, 3], [1, 1], [1, 1]), {}) |
aten.avg_pool2d.default | TIMM/inception_v3 | ((T([128, 768, 17, 17], f16), [3, 3], [1, 1], [1, 1]), {}) |
aten.avg_pool2d.default | TIMM/nasnetalarge | ((T([16, 1008, 42, 42], f16), [1, 1], [2, 2], [0, 0], False, False), {}) |
aten.avg_pool2d.default | TIMM/pnasnet5large | ((T([16, 1080, 42, 42], f16), [1, 1], [2, 2], [0, 0], False, False), {}) |
aten.avg_pool2d.default | TIMM/nasnetalarge | ((T([16, 168, 42, 42], f16), [3, 3], [1, 1], [1, 1], False, False), {}) |
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