operator name stringclasses 180
values | used in model stringclasses 155
values | args stringlengths 19 5.24k |
|---|---|---|
aten.mul.Tensor | HuggingFace/OPTForCausalLM | ((T([4, 128, 768], f16), 0.125), {}) |
aten.mul.Tensor | HuggingFace/RobertaForCausalLM | ((T([4, 128], i32), T([4, 128], i32)), {}) |
aten.mul.Tensor | HuggingFace/OPTForCausalLM | ((T([4, 128], i64), T([4, 128], i64)), {}) |
aten.mul.Tensor | HuggingFace/XLNetLMHeadModel | ((T([4, 16, 512, 512], f16), 0.125), {}) |
aten.mul.Tensor | TorchBench/vision_maskrcnn | ((T([4, 2048, 37, 38], f16), T([1, 2048, 1, 1], f16)), {}) |
aten.mul.Tensor | TorchBench/vision_maskrcnn | ((T([4, 256, 148, 152], f16), T([1, 256, 1, 1], f16)), {}) |
aten.mul.Tensor | TorchBench/vision_maskrcnn | ((T([4, 256, 296, 304], f16), T([1, 256, 1, 1], f16)), {}) |
aten.mul.Tensor | TorchBench/vision_maskrcnn | ((T([4, 256, 74, 76], f16), T([1, 256, 1, 1], f16)), {}) |
aten.mul.Tensor | TorchBench/vision_maskrcnn | ((T([4, 512, 148, 152], f16), T([1, 512, 1, 1], f16)), {}) |
aten.mul.Tensor | TorchBench/hf_GPT2 | ((T([4, 512, 3072], f16), 0.044715), {}) |
aten.mul.Tensor | TorchBench/hf_GPT2 | ((T([4, 512, 3072], f16), 0.5), {}) |
aten.mul.Tensor | TorchBench/hf_GPT2 | ((T([4, 512, 3072], f16), 0.7978845608028654), {}) |
aten.mul.Tensor | TorchBench/hf_GPT2 | ((T([4, 512, 3072], f16), T([4, 512, 3072], f16)), {}) |
aten.mul.Tensor | TorchBench/vision_maskrcnn | ((T([4, 512, 37, 38], f16), T([1, 512, 1, 1], f16)), {}) |
aten.mul.Tensor | TorchBench/vision_maskrcnn | ((T([4, 512, 74, 76], f16), T([1, 512, 1, 1], f16)), {}) |
aten.mul.Tensor | TorchBench/hf_Bart | ((T([4, 512, 768], f16), 0.125), {}) |
aten.mul.Tensor | TorchBench/hf_Bart | ((T([4, 512, 768], f16), 1.0), {}) |
aten.mul.Tensor | HuggingFace/DebertaForMaskedLM | ((T([4, 512, 768], f16), T([4, 512, 1], f16)), {}) |
aten.mul.Tensor | HuggingFace/DebertaForQuestionAnswering | ((T([4, 512, 768], f16), T([4, 512, 1], f16)), {}) |
aten.mul.Tensor | HuggingFace/DebertaForMaskedLM | ((T([4, 512, 768], f16), T([4, 512, 768], f16)), {}) |
aten.mul.Tensor | HuggingFace/DebertaForQuestionAnswering | ((T([4, 512, 768], f16), T([4, 512, 768], f16)), {}) |
aten.mul.Tensor | HuggingFace/DebertaForMaskedLM | ((T([4, 512, 768], f16), T([768], f16)), {}) |
aten.mul.Tensor | HuggingFace/DebertaForQuestionAnswering | ((T([4, 512, 768], f16), T([768], f16)), {}) |
aten.mul.Tensor | HuggingFace/DebertaForMaskedLM | ((T([4, 512, 768], f32), T([4, 512, 768], f32)), {}) |
aten.mul.Tensor | HuggingFace/DebertaForQuestionAnswering | ((T([4, 512, 768], f32), T([4, 512, 768], f32)), {}) |
aten.mul.Tensor | TorchBench/vision_maskrcnn | ((T([4, 64, 296, 304], f16), T([1, 64, 1, 1], f16)), {}) |
aten.mul.Tensor | TorchBench/vision_maskrcnn | ((T([4, 64, 592, 608], f16), T([1, 64, 1, 1], f16)), {}) |
aten.mul.Tensor | TIMM/swin_base_patch4_window7_224 | ((T([4096, 4, 49, 32], f16), 0.1767766952966369), {}) |
aten.mul.Tensor | TIMM/swin_base_patch4_window7_224 | ((T([4096, 4, 49, 32], f16, stride=(18816, 32, 384, 1)), 0.1767766952966369), {}) |
aten.mul.Tensor | TorchBench/timm_efficientdet | ((T([5000], f32), T([5000], f16)), {}) |
aten.mul.Tensor | TorchBench/timm_efficientdet | ((T([5000], f32), T([5000], f32)), {}) |
aten.mul.Tensor | TorchBench/timm_efficientdet | ((T([5000], f32), T([], f32)), {}) |
aten.mul.Tensor | TorchBench/timm_efficientdet | ((T([5000], f32, stride=(4,)), T([5000], f16)), {}) |
aten.mul.Tensor | HuggingFace/BigBird | ((T([504], i64), 16), {}) |
aten.mul.Tensor | TIMM/dm_nfnet_f0 | ((T([512, 1, 1, 1], f16), 0.0625), {}) |
aten.mul.Tensor | TorchBench/timm_nfnet | ((T([512, 1, 1, 1], f16), 0.0625), {}) |
aten.mul.Tensor | TIMM/nfnet_l0 | ((T([512, 1, 1, 1], f16), 0.11175808310508728), {}) |
aten.mul.Tensor | TIMM/nfnet_l0 | ((T([512, 1, 1, 1], f16), 0.1580497968320339), {}) |
aten.mul.Tensor | TIMM/botnet26t_256 | ((T([512, 256, 256], f16), 0.08838834764831845), {}) |
aten.mul.Tensor | TIMM/botnet26t_256 | ((T([512, 256, 256], f16), 0.125), {}) |
aten.mul.Tensor | TIMM/eca_botnext26ts_256 | ((T([512, 256, 256], f16), 0.25), {}) |
aten.mul.Tensor | TIMM/botnet26t_256 | ((T([512, 64, 64], f16), 0.08838834764831845), {}) |
aten.mul.Tensor | TIMM/eca_botnext26ts_256 | ((T([512, 64, 64], f16), 0.25), {}) |
aten.mul.Tensor | HuggingFace/XLNetLMHeadModel | ((T([512], f32), 1), {}) |
aten.mul.Tensor | TorchBench/Super_SloMo | ((T([6, 1, 1, 1], f16), T([6, 1, 352, 352], f16)), {}) |
aten.mul.Tensor | TorchBench/Super_SloMo | ((T([6, 1, 1, 1], f16), T([6, 2, 352, 352], f16, stride=(495616, 123904, 352, 1))), {}) |
aten.mul.Tensor | TorchBench/fastNLP_Bert | ((T([6, 1, 1, 476], f16), -10000.0), {}) |
aten.mul.Tensor | TorchBench/Super_SloMo | ((T([6, 1, 352, 352], f16), T([6, 1, 1, 1], f16)), {}) |
aten.mul.Tensor | TorchBench/Super_SloMo | ((T([6, 1, 352, 352], f16), T([6, 3, 352, 352], f16)), {}) |
aten.mul.Tensor | TorchBench/Super_SloMo | ((T([6, 2, 351, 352], f16), T([6, 2, 351, 352], f16)), {}) |
aten.mul.Tensor | TorchBench/Super_SloMo | ((T([6, 2, 352, 351], f16), T([6, 2, 352, 351], f16)), {}) |
aten.mul.Tensor | TorchBench/Super_SloMo | ((T([6, 2, 352, 352], f16), T([6, 1, 1, 1], f16)), {}) |
aten.mul.Tensor | TorchBench/Super_SloMo | ((T([6, 3, 352, 352], f16), T([6, 1, 352, 352], f16)), {}) |
aten.mul.Tensor | TorchBench/Super_SloMo | ((T([6, 3, 352, 352], f16), T([6, 3, 352, 352], f16)), {}) |
aten.mul.Tensor | TorchBench/Super_SloMo | ((T([6, 352, 352], f16), 2), {}) |
aten.mul.Tensor | TorchBench/Super_SloMo | ((T([6, 352, 352], f16, stride=(247808, 704, 2)), 2), {}) |
aten.mul.Tensor | TorchBench/fastNLP_Bert | ((T([6, 476, 3072], f16), 0.5), {}) |
aten.mul.Tensor | TorchBench/fastNLP_Bert | ((T([6, 476, 3072], f16), T([6, 476, 3072], f16)), {}) |
aten.mul.Tensor | HuggingFace/BertForMaskedLM | ((T([64, 1, 1, 128], f16), -65504.0), {}) |
aten.mul.Tensor | HuggingFace/BertForQuestionAnswering | ((T([64, 1, 1, 128], f16), -65504.0), {}) |
aten.mul.Tensor | HuggingFace/RobertaForQuestionAnswering | ((T([64, 1, 1, 128], f16), -65504.0), {}) |
aten.mul.Tensor | TIMM/dm_nfnet_f0 | ((T([64, 1, 1, 1], f16), 0.05892556509887896), {}) |
aten.mul.Tensor | TorchBench/timm_nfnet | ((T([64, 1, 1, 1], f16), 0.05892556509887896), {}) |
aten.mul.Tensor | TIMM/nfnet_l0 | ((T([64, 1, 1, 1], f16), 0.07450538873672485), {}) |
aten.mul.Tensor | TIMM/nfnet_l0 | ((T([64, 1, 1, 1], f16), 0.10536653122135592), {}) |
aten.mul.Tensor | TIMM/nfnet_l0 | ((T([64, 1, 1, 1], f16), 0.1580497968320339), {}) |
aten.mul.Tensor | HuggingFace/ElectraForQuestionAnswering | ((T([64, 1, 1, 512], f16), -65504.0), {}) |
aten.mul.Tensor | TIMM/jx_nest_base | ((T([64, 1, 196, 512], f16), T([64, 1, 1, 1], f16)), {}) |
aten.mul.Tensor | TIMM/jx_nest_base | ((T([64, 1, 196, 512], f16, stride=(100352, 196, 1, 196)), T([64, 1, 1, 1], f16)), {}) |
aten.mul.Tensor | TIMM/volo_d1_224 | ((T([64, 1000], f16), 0.5), {}) |
aten.mul.Tensor | TIMM/ecaresnet101d | ((T([64, 1024, 14, 14], f16), T([64, 1024, 14, 14], f16)), {}) |
aten.mul.Tensor | TIMM/ecaresnet101d | ((T([64, 1024, 14, 14], f16), T([64, 1024, 14, 14], f16, stride=(1024, 1, 0, 0))), {}) |
aten.mul.Tensor | TIMM/volo_d1_224 | ((T([64, 12, 1, 32], f16), 0.1767766952966369), {}) |
aten.mul.Tensor | TIMM/volo_d1_224 | ((T([64, 12, 196, 196], f16), 0.1767766952966369), {}) |
aten.mul.Tensor | TIMM/vit_base_patch16_224 | ((T([64, 12, 197, 197], f16), 0.125), {}) |
aten.mul.Tensor | TIMM/beit_base_patch16_224 | ((T([64, 12, 197, 64], f16), 0.125), {}) |
aten.mul.Tensor | TIMM/beit_base_patch16_224 | ((T([64, 12, 197, 64], f16, stride=(453888, 64, 2304, 1)), 0.125), {}) |
aten.mul.Tensor | TIMM/deit_base_distilled_patch16_224 | ((T([64, 12, 198, 198], f16), 0.125), {}) |
aten.mul.Tensor | HuggingFace/Speech2Text2ForCausalLM | ((T([64, 128, 256], f16), 0.125), {}) |
aten.mul.Tensor | HuggingFace/Speech2Text2ForCausalLM | ((T([64, 128, 256], f16), 16.0), {}) |
aten.mul.Tensor | TIMM/sebotnet33ts_256 | ((T([64, 128, 32, 32], f16), T([64, 128, 1, 1], f16)), {}) |
aten.mul.Tensor | TIMM/sebotnet33ts_256 | ((T([64, 128, 32, 32], f16), T([64, 128, 32, 32], f16)), {}) |
aten.mul.Tensor | HuggingFace/BlenderbotSmallForCausalLM | ((T([64, 128, 512], f16), 0.1767766952966369), {}) |
aten.mul.Tensor | HuggingFace/BlenderbotSmallForConditionalGeneration | ((T([64, 128, 512], f16), 0.1767766952966369), {}) |
aten.mul.Tensor | HuggingFace/BlenderbotSmallForCausalLM | ((T([64, 128, 512], f16), 1.0), {}) |
aten.mul.Tensor | HuggingFace/BlenderbotSmallForConditionalGeneration | ((T([64, 128, 512], f16), 1.0), {}) |
aten.mul.Tensor | HuggingFace/RobertaForQuestionAnswering | ((T([64, 128], i32), T([64, 128], i32)), {}) |
aten.mul.Tensor | HuggingFace/Speech2Text2ForCausalLM | ((T([64, 128], i32), T([64, 128], i32)), {}) |
aten.mul.Tensor | TIMM/mixnet_l | ((T([64, 1584, 7, 7], f16), T([64, 1584, 1, 1], f16)), {}) |
aten.mul.Tensor | TIMM/tf_mixnet_l | ((T([64, 1584, 7, 7], f16), T([64, 1584, 1, 1], f16)), {}) |
aten.mul.Tensor | TIMM/mixnet_l | ((T([64, 1584, 7, 7], f16), T([64, 1584, 7, 7], f16)), {}) |
aten.mul.Tensor | TIMM/tf_mixnet_l | ((T([64, 1584, 7, 7], f16), T([64, 1584, 7, 7], f16)), {}) |
aten.mul.Tensor | TIMM/jx_nest_base | ((T([64, 16, 1, 196, 196], f16), 0.1767766952966369), {}) |
aten.mul.Tensor | TIMM/jx_nest_base | ((T([64, 16, 196, 128], f16), T([64, 1, 1, 1], f16)), {}) |
aten.mul.Tensor | TIMM/pit_b_224 | ((T([64, 16, 65, 65], f16), 0.125), {}) |
aten.mul.Tensor | TIMM/poolformer_m36 | ((T([64, 192, 28, 28], f16), T([192, 1, 1], f16)), {}) |
aten.mul.Tensor | TIMM/poolformer_m36 | ((T([64, 192, 28, 28], f16), T([64, 192, 28, 28], f16)), {}) |
aten.mul.Tensor | TIMM/swin_base_patch4_window7_224 | ((T([64, 196, 512], f16), T([64, 1, 1], f16)), {}) |
aten.mul.Tensor | TIMM/gmixer_24_224 | ((T([64, 196, 768], f16), T([64, 196, 768], f16)), {}) |
aten.mul.Tensor | TIMM/gmlp_s16_224 | ((T([64, 196, 768], f16), T([64, 196, 768], f16, stride=(150528, 1, 196))), {}) |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.