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))), {})
|
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