operator name stringclasses 180
values | used in model stringclasses 155
values | args stringlengths 19 5.24k |
|---|---|---|
aten.masked_fill.Scalar | TorchBench/attention_is_all_you_need_pytorch | ((T([256, 8, 31, 31], f16), T([256, 1, 31, 31], b8, stride=(1, 7936, 256, 7936)), 0), {}) |
aten.masked_fill.Scalar | TorchBench/attention_is_all_you_need_pytorch | ((T([256, 8, 31, 33], f16), T([256, 1, 1, 33], b8, stride=(1, 8448, 8448, 256)), -65504.0), {}) |
aten.masked_fill.Scalar | TorchBench/attention_is_all_you_need_pytorch | ((T([256, 8, 31, 33], f16), T([256, 1, 1, 33], b8, stride=(1, 8448, 8448, 256)), 0), {}) |
aten.masked_fill.Scalar | TorchBench/attention_is_all_you_need_pytorch | ((T([256, 8, 33, 33], f16), T([256, 1, 1, 33], b8, stride=(1, 8448, 8448, 256)), -65504.0), {}) |
aten.masked_fill.Scalar | TorchBench/attention_is_all_you_need_pytorch | ((T([256, 8, 33, 33], f16), T([256, 1, 1, 33], b8, stride=(1, 8448, 8448, 256)), 0), {}) |
aten.masked_fill.Scalar | HuggingFace/DistilBertForQuestionAnswering | ((T([32, 12, 128, 128], f16), T([32, 12, 128, 128], b8, stride=(128, 0, 0, 1)), 0), {}) |
aten.masked_fill.Scalar | HuggingFace/OPTForCausalLM | ((T([4, 1, 128, 128], f16), T([4, 1, 128, 128], b8), -65504.0), {}) |
aten.masked_fill.Scalar | TorchBench/fastNLP_Bert | ((T([6, 474, 768], f16), T([6, 474, 1], b8), 0), {}) |
aten.masked_fill.Scalar | TorchBench/fastNLP_Bert | ((T([6, 474], i64), T([6, 474], b8), 0), {}) |
aten.masked_fill.Scalar | TorchBench/hf_DistilBert | ((T([8, 12, 512, 512], f16), T([8, 12, 512, 512], b8, stride=(512, 0, 0, 1)), 0), {}) |
aten.masked_fill.Scalar | TorchBench/speech_transformer | ((T([80, 204, 204], f16), T([80, 204, 204], b8), -inf), {}) |
aten.masked_fill.Scalar | TorchBench/speech_transformer | ((T([80, 204, 204], f16), T([80, 204, 204], b8), 0), {}) |
aten.masked_fill.Scalar | TorchBench/speech_transformer | ((T([80, 22, 204], f16), T([80, 22, 204], b8), -inf), {}) |
aten.masked_fill.Scalar | TorchBench/speech_transformer | ((T([80, 22, 204], f16), T([80, 22, 204], b8), 0), {}) |
aten.masked_fill.Scalar | TorchBench/speech_transformer | ((T([80, 22, 22], f16), T([80, 22, 22], b8), -inf), {}) |
aten.masked_fill.Scalar | TorchBench/speech_transformer | ((T([80, 22, 22], f16), T([80, 22, 22], b8), 0), {}) |
aten.masked_fill.Tensor | HuggingFace/DebertaV2ForMaskedLM | ((T([1, 24, 512, 512], f16), T([1, 1, 512, 512], b8), T([], f32)), {}) |
aten.masked_fill.Tensor | HuggingFace/DebertaV2ForQuestionAnswering | ((T([1, 24, 512, 512], f16), T([1, 1, 512, 512], b8), T([], f32)), {}) |
aten.masked_fill.Tensor | HuggingFace/DistilBertForMaskedLM | ((T([16, 12, 128, 128], f16), T([16, 12, 128, 128], b8, stride=(128, 0, 0, 1)), T([], f32)), {}) |
aten.masked_fill.Tensor | HuggingFace/DistilBertForQuestionAnswering | ((T([32, 12, 128, 128], f16), T([32, 12, 128, 128], b8, stride=(128, 0, 0, 1)), T([], f32)), {}) |
aten.masked_fill.Tensor | HuggingFace/DebertaForMaskedLM | ((T([4, 12, 512, 512], f16), T([4, 1, 512, 512], b8), T([], f32)), {}) |
aten.masked_fill.Tensor | HuggingFace/DebertaForQuestionAnswering | ((T([4, 12, 512, 512], f16), T([4, 1, 512, 512], b8), T([], f32)), {}) |
aten.masked_fill.Tensor | TorchBench/hf_DistilBert | ((T([8, 12, 512, 512], f16), T([8, 12, 512, 512], b8, stride=(512, 0, 0, 1)), T([], f32)), {}) |
aten.masked_fill_.Scalar | HuggingFace/DebertaV2ForMaskedLM | ((T([1, 24, 512, 512], f16), T([1, 1, 512, 512], b8), 0), {}) |
aten.masked_fill_.Scalar | HuggingFace/DebertaV2ForQuestionAnswering | ((T([1, 24, 512, 512], f16), T([1, 1, 512, 512], b8), 0), {}) |
aten.masked_fill_.Scalar | HuggingFace/AllenaiLongformerBase | ((T([1, 256, 1, 257], f16, stride=(525312, 513, 525312, 1)), T([1, 256, 1, 257], b8), -inf), {}) |
aten.masked_fill_.Scalar | HuggingFace/AllenaiLongformerBase | ((T([1, 256, 12, 257], f16, stride=(6303744, 513, 525312, 1)), T([1, 256, 12, 257], b8), -inf), {}) |
aten.masked_fill_.Scalar | HuggingFace/BartForCausalLM | ((T([1024, 1024], f32), T([1024, 1024], b8), 0), {}) |
aten.masked_fill_.Scalar | HuggingFace/BartForConditionalGeneration | ((T([1024, 1024], f32), T([1024, 1024], b8), 0), {}) |
aten.masked_fill_.Scalar | HuggingFace/BlenderbotSmallForCausalLM | ((T([128, 128], f32), T([128, 128], b8), 0), {}) |
aten.masked_fill_.Scalar | HuggingFace/BlenderbotSmallForConditionalGeneration | ((T([128, 128], f32), T([128, 128], b8), 0), {}) |
aten.masked_fill_.Scalar | HuggingFace/M2M100ForConditionalGeneration | ((T([128, 128], f32), T([128, 128], b8), 0), {}) |
aten.masked_fill_.Scalar | HuggingFace/MBartForCausalLM | ((T([128, 128], f32), T([128, 128], b8), 0), {}) |
aten.masked_fill_.Scalar | HuggingFace/MBartForConditionalGeneration | ((T([128, 128], f32), T([128, 128], b8), 0), {}) |
aten.masked_fill_.Scalar | HuggingFace/OPTForCausalLM | ((T([128, 128], f32), T([128, 128], b8), 0), {}) |
aten.masked_fill_.Scalar | HuggingFace/PLBartForCausalLM | ((T([128, 128], f32), T([128, 128], b8), 0), {}) |
aten.masked_fill_.Scalar | HuggingFace/PLBartForConditionalGeneration | ((T([128, 128], f32), T([128, 128], b8), 0), {}) |
aten.masked_fill_.Scalar | HuggingFace/PegasusForCausalLM | ((T([128, 128], f32), T([128, 128], b8), 0), {}) |
aten.masked_fill_.Scalar | HuggingFace/PegasusForConditionalGeneration | ((T([128, 128], f32), T([128, 128], b8), 0), {}) |
aten.masked_fill_.Scalar | HuggingFace/Speech2Text2ForCausalLM | ((T([128, 128], f32), T([128, 128], b8), 0), {}) |
aten.masked_fill_.Scalar | HuggingFace/TrOCRForCausalLM | ((T([128, 128], f32), T([128, 128], b8), 0), {}) |
aten.masked_fill_.Scalar | HuggingFace/XGLMForCausalLM | ((T([128, 128], f32), T([128, 128], b8), 0), {}) |
aten.masked_fill_.Scalar | TorchBench/BERT_pytorch | ((T([16, 128, 1], f16), T([16, 128, 1], b8), 0), {}) |
aten.masked_fill_.Scalar | HuggingFace/BartForConditionalGeneration | ((T([2, 1024], i64), T([2, 1024], b8), 1), {}) |
aten.masked_fill_.Scalar | TorchBench/hf_Longformer | ((T([2, 256, 1, 257], f16, stride=(525312, 513, 525312, 1)), T([2, 256, 1, 257], b8), -inf), {}) |
aten.masked_fill_.Scalar | TorchBench/hf_Longformer | ((T([2, 256, 12, 257], f16, stride=(6303744, 513, 525312, 1)), T([2, 256, 12, 257], b8), -inf), {}) |
aten.masked_fill_.Scalar | HuggingFace/OPTForCausalLM | ((T([4, 12, 128, 128], f16), T([4, 12, 128, 128], b8), 0), {}) |
aten.masked_fill_.Scalar | HuggingFace/DebertaForMaskedLM | ((T([4, 12, 512, 512], f16), T([4, 1, 512, 512], b8), 0), {}) |
aten.masked_fill_.Scalar | HuggingFace/DebertaForQuestionAnswering | ((T([4, 12, 512, 512], f16), T([4, 1, 512, 512], b8), 0), {}) |
aten.masked_fill_.Scalar | TorchBench/timm_efficientdet | ((T([5000, 4], f32), T([5000, 4], b8), 0), {}) |
aten.masked_fill_.Scalar | TorchBench/hf_Bart | ((T([512, 512], f32), T([512, 512], b8), 0), {}) |
aten.masked_fill_.Scalar | TorchBench/fastNLP_Bert | ((T([6, 474], i64, stride=(475, 1)), T([6, 474], b8), 0), {}) |
aten.masked_fill_.Scalar | TorchBench/tts_angular | ((T([64, 256], f16), T([64, 1], b8), 0), {}) |
aten.masked_fill_.Scalar | HuggingFace/MBartForConditionalGeneration | ((T([8, 128], i64), T([8, 128], b8), 1), {}) |
aten.masked_fill_.Scalar | HuggingFace/PLBartForConditionalGeneration | ((T([8, 128], i64), T([8, 128], b8), 1), {}) |
aten.max.default | TorchBench/vision_maskrcnn | ((T([2], i64),), {}) |
aten.max.default | TorchBench/timm_efficientdet | ((T([5000, 4], f32),), {}) |
aten.max.default | TorchBench/fastNLP_Bert | ((T([6], i64),), {}) |
aten.max.dim | TIMM/volo_d1_224 | ((T([64, 196, 1000], f16), 1), {}) |
aten.max_pool2d_with_indices.default | TorchBench/pytorch_unet | ((T([1, 128, 320, 479], f16), [2, 2], [2, 2]), {}) |
aten.max_pool2d_with_indices.default | TorchBench/pytorch_unet | ((T([1, 256, 160, 239], f16), [2, 2], [2, 2]), {}) |
aten.max_pool2d_with_indices.default | TorchBench/pytorch_unet | ((T([1, 512, 80, 119], f16), [2, 2], [2, 2]), {}) |
aten.max_pool2d_with_indices.default | TorchBench/pytorch_unet | ((T([1, 64, 640, 959], f16), [2, 2], [2, 2]), {}) |
aten.max_pool2d_with_indices.default | TorchBench/timm_efficientdet | ((T([1, 88, 11, 11], f16), [3, 3], [2, 2]), {}) |
aten.max_pool2d_with_indices.default | TorchBench/timm_efficientdet | ((T([1, 88, 21, 21], f16), [3, 3], [2, 2]), {}) |
aten.max_pool2d_with_indices.default | TorchBench/timm_efficientdet | ((T([1, 88, 41, 41], f16), [3, 3], [2, 2]), {}) |
aten.max_pool2d_with_indices.default | TorchBench/timm_efficientdet | ((T([1, 88, 81, 81], f16), [3, 3], [2, 2]), {}) |
aten.max_pool2d_with_indices.default | TorchBench/alexnet | ((T([128, 192, 27, 27], f16), [3, 3], [2, 2]), {}) |
aten.max_pool2d_with_indices.default | TIMM/adv_inception_v3 | ((T([128, 192, 71, 71], f16), [3, 3], [2, 2]), {}) |
aten.max_pool2d_with_indices.default | TIMM/gluon_inception_v3 | ((T([128, 192, 71, 71], f16), [3, 3], [2, 2]), {}) |
aten.max_pool2d_with_indices.default | TIMM/inception_v3 | ((T([128, 192, 71, 71], f16), [3, 3], [2, 2]), {}) |
aten.max_pool2d_with_indices.default | TorchBench/shufflenet_v2_x1_0 | ((T([128, 24, 112, 112], f16), [3, 3], [2, 2], [1, 1]), {}) |
aten.max_pool2d_with_indices.default | TorchBench/alexnet | ((T([128, 256, 13, 13], f16), [3, 3], [2, 2]), {}) |
aten.max_pool2d_with_indices.default | TIMM/ese_vovnet19b_dw | ((T([128, 256, 56, 56], f16), [3, 3], [2, 2], [0, 0], [1, 1], True), {}) |
aten.max_pool2d_with_indices.default | TIMM/adv_inception_v3 | ((T([128, 288, 35, 35], f16), [3, 3], [2, 2]), {}) |
aten.max_pool2d_with_indices.default | TIMM/gluon_inception_v3 | ((T([128, 288, 35, 35], f16), [3, 3], [2, 2]), {}) |
aten.max_pool2d_with_indices.default | TIMM/inception_v3 | ((T([128, 288, 35, 35], f16), [3, 3], [2, 2]), {}) |
aten.max_pool2d_with_indices.default | TIMM/ese_vovnet19b_dw | ((T([128, 512, 28, 28], f16), [3, 3], [2, 2], [0, 0], [1, 1], True), {}) |
aten.max_pool2d_with_indices.default | TIMM/res2net50_14w_8s | ((T([128, 64, 112, 112], f16), [3, 3], [2, 2], [1, 1]), {}) |
aten.max_pool2d_with_indices.default | TIMM/res2next50 | ((T([128, 64, 112, 112], f16), [3, 3], [2, 2], [1, 1]), {}) |
aten.max_pool2d_with_indices.default | TIMM/resnet18 | ((T([128, 64, 112, 112], f16), [3, 3], [2, 2], [1, 1]), {}) |
aten.max_pool2d_with_indices.default | TIMM/botnet26t_256 | ((T([128, 64, 128, 128], f16), [3, 3], [2, 2], [1, 1]), {}) |
aten.max_pool2d_with_indices.default | TIMM/eca_botnext26ts_256 | ((T([128, 64, 128, 128], f16), [3, 3], [2, 2], [1, 1]), {}) |
aten.max_pool2d_with_indices.default | TIMM/eca_halonext26ts | ((T([128, 64, 128, 128], f16), [3, 3], [2, 2], [1, 1]), {}) |
aten.max_pool2d_with_indices.default | TIMM/adv_inception_v3 | ((T([128, 64, 147, 147], f16), [3, 3], [2, 2]), {}) |
aten.max_pool2d_with_indices.default | TIMM/gluon_inception_v3 | ((T([128, 64, 147, 147], f16), [3, 3], [2, 2]), {}) |
aten.max_pool2d_with_indices.default | TIMM/inception_v3 | ((T([128, 64, 147, 147], f16), [3, 3], [2, 2]), {}) |
aten.max_pool2d_with_indices.default | TorchBench/alexnet | ((T([128, 64, 55, 55], f16), [3, 3], [2, 2]), {}) |
aten.max_pool2d_with_indices.default | TIMM/ese_vovnet19b_dw | ((T([128, 768, 14, 14], f16), [3, 3], [2, 2], [0, 0], [1, 1], True), {}) |
aten.max_pool2d_with_indices.default | TIMM/adv_inception_v3 | ((T([128, 768, 17, 17], f16), [3, 3], [2, 2]), {}) |
aten.max_pool2d_with_indices.default | TIMM/gluon_inception_v3 | ((T([128, 768, 17, 17], f16), [3, 3], [2, 2]), {}) |
aten.max_pool2d_with_indices.default | TIMM/inception_v3 | ((T([128, 768, 17, 17], f16), [3, 3], [2, 2]), {}) |
aten.max_pool2d_with_indices.default | TIMM/pnasnet5large | ((T([16, 108, 85, 85], f16), [3, 3], [2, 2]), {}) |
aten.max_pool2d_with_indices.default | TIMM/pnasnet5large | ((T([16, 216, 42, 42], f16), [3, 3], [1, 1], [1, 1]), {}) |
aten.max_pool2d_with_indices.default | TIMM/nasnetalarge | ((T([16, 336, 43, 43], f16), [3, 3], [2, 2]), {}) |
aten.max_pool2d_with_indices.default | TIMM/nasnetalarge | ((T([16, 42, 167, 167], f16), [3, 3], [2, 2]), {}) |
aten.max_pool2d_with_indices.default | TIMM/pnasnet5large | ((T([16, 432, 21, 21], f16), [3, 3], [1, 1], [1, 1]), {}) |
aten.max_pool2d_with_indices.default | TIMM/pnasnet5large | ((T([16, 432, 43, 43], f16), [3, 3], [2, 2]), {}) |
aten.max_pool2d_with_indices.default | TIMM/pnasnet5large | ((T([16, 54, 167, 167], f16), [3, 3], [2, 2]), {}) |
aten.max_pool2d_with_indices.default | TorchBench/resnet18 | ((T([16, 64, 112, 112], f16), [3, 3], [2, 2], [1, 1]), {}) |
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