operator name
stringclasses
180 values
used in model
stringclasses
155 values
args
stringlengths
19
5.24k
aten.mul.Tensor
TIMM/gmixer_24_224
((T([64, 196, 768], f16), T([64, 196, 768], f16, stride=(301056, 1536, 1))), {})
aten.mul.Tensor
TIMM/gmlp_s16_224
((T([64, 196, 768], f16), T([64, 196, 768], f16, stride=(301056, 1536, 1))), {})
aten.mul.Tensor
TIMM/gmixer_24_224
((T([64, 196, 768], f16, stride=(301056, 1536, 1)), T([64, 196, 768], f16)), {})
aten.mul.Tensor
TIMM/gmlp_s16_224
((T([64, 196, 768], f16, stride=(301056, 1536, 1)), T([64, 196, 768], f16, stride=(150528, 1, 196))), {})
aten.mul.Tensor
TIMM/beit_base_patch16_224
((T([64, 197, 768], f16), T([64, 197, 768], f16)), {})
aten.mul.Tensor
TIMM/beit_base_patch16_224
((T([64, 197, 768], f16), T([768], f16)), {})
aten.mul.Tensor
TorchBench/tts_angular
((T([64, 1], f16), T([64, 256], f16)), {})
aten.mul.Tensor
TIMM/ecaresnet101d
((T([64, 2048, 7, 7], f16), T([64, 2048, 7, 7], f16)), {})
aten.mul.Tensor
TIMM/ecaresnet101d
((T([64, 2048, 7, 7], f16), T([64, 2048, 7, 7], f16, stride=(2048, 1, 0, 0))), {})
aten.mul.Tensor
TIMM/mixnet_l
((T([64, 240, 28, 28], f16), T([64, 240, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/tf_mixnet_l
((T([64, 240, 28, 28], f16), T([64, 240, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/mixnet_l
((T([64, 240, 28, 28], f16), T([64, 240, 28, 28], f16)), {})
aten.mul.Tensor
TIMM/tf_mixnet_l
((T([64, 240, 28, 28], f16), T([64, 240, 28, 28], f16)), {})
aten.mul.Tensor
TIMM/sebotnet33ts_256
((T([64, 256, 16, 16], f16), T([64, 256, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/sebotnet33ts_256
((T([64, 256, 16, 16], f16), T([64, 256, 16, 16], f16)), {})
aten.mul.Tensor
TIMM/ecaresnet101d
((T([64, 256, 56, 56], f16), T([64, 256, 56, 56], f16)), {})
aten.mul.Tensor
TIMM/ecaresnet101d
((T([64, 256, 56, 56], f16), T([64, 256, 56, 56], f16, stride=(256, 1, 0, 0))), {})
aten.mul.Tensor
TorchBench/tts_angular
((T([64, 256], f16), T([64, 256], f16)), {})
aten.mul.Tensor
TIMM/swin_base_patch4_window7_224
((T([64, 3136, 128], f16), T([64, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/swin_base_patch4_window7_224
((T([64, 32, 49, 32], f16), 0.1767766952966369), {})
aten.mul.Tensor
TIMM/swin_base_patch4_window7_224
((T([64, 32, 49, 32], f16, stride=(150528, 32, 3072, 1)), 0.1767766952966369), {})
aten.mul.Tensor
TIMM/mixnet_l
((T([64, 336, 14, 14], f16), T([64, 336, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/tf_mixnet_l
((T([64, 336, 14, 14], f16), T([64, 336, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/mixnet_l
((T([64, 336, 14, 14], f16), T([64, 336, 14, 14], f16)), {})
aten.mul.Tensor
TIMM/tf_mixnet_l
((T([64, 336, 14, 14], f16), T([64, 336, 14, 14], f16)), {})
aten.mul.Tensor
TIMM/mixnet_l
((T([64, 336, 28, 28], f16), T([64, 336, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/tf_mixnet_l
((T([64, 336, 28, 28], f16), T([64, 336, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/mixnet_l
((T([64, 336, 28, 28], f16), T([64, 336, 28, 28], f16)), {})
aten.mul.Tensor
TIMM/tf_mixnet_l
((T([64, 336, 28, 28], f16), T([64, 336, 28, 28], f16)), {})
aten.mul.Tensor
TIMM/poolformer_m36
((T([64, 384, 14, 14], f16), T([384, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/poolformer_m36
((T([64, 384, 14, 14], f16), T([64, 384, 14, 14], f16)), {})
aten.mul.Tensor
TIMM/gmixer_24_224
((T([64, 384, 192], f16), T([64, 384, 192], f16)), {})
aten.mul.Tensor
TIMM/gmixer_24_224
((T([64, 384, 192], f16), T([64, 384, 192], f16, stride=(147456, 384, 1))), {})
aten.mul.Tensor
TIMM/gmixer_24_224
((T([64, 384, 192], f16, stride=(147456, 384, 1)), T([64, 384, 192], f16)), {})
aten.mul.Tensor
TIMM/crossvit_9_240
((T([64, 4, 1, 197], f16), 0.125), {})
aten.mul.Tensor
TIMM/crossvit_9_240
((T([64, 4, 1, 401], f16), 0.1767766952966369), {})
aten.mul.Tensor
TIMM/jx_nest_base
((T([64, 4, 16, 196, 196], f16), 0.1767766952966369), {})
aten.mul.Tensor
TIMM/jx_nest_base
((T([64, 4, 196, 256], f16), T([64, 1, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/crossvit_9_240
((T([64, 4, 197, 197], f16), 0.125), {})
aten.mul.Tensor
TIMM/crossvit_9_240
((T([64, 4, 401, 401], f16), 0.1767766952966369), {})
aten.mul.Tensor
TIMM/pit_b_224
((T([64, 4, 962, 962], f16), 0.125), {})
aten.mul.Tensor
TIMM/mixnet_l
((T([64, 480, 14, 14], f16), T([64, 480, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/tf_mixnet_l
((T([64, 480, 14, 14], f16), T([64, 480, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/mixnet_l
((T([64, 480, 14, 14], f16), T([64, 480, 14, 14], f16)), {})
aten.mul.Tensor
TIMM/tf_mixnet_l
((T([64, 480, 14, 14], f16), T([64, 480, 14, 14], f16)), {})
aten.mul.Tensor
TIMM/swin_base_patch4_window7_224
((T([64, 49, 1024], f16), T([64, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/ecaresnet101d
((T([64, 512, 28, 28], f16), T([64, 512, 28, 28], f16)), {})
aten.mul.Tensor
TIMM/ecaresnet101d
((T([64, 512, 28, 28], f16), T([64, 512, 28, 28], f16, stride=(512, 1, 0, 0))), {})
aten.mul.Tensor
TIMM/volo_d1_224
((T([64, 6, 196, 9, 9], f16), 0.1767766952966369), {})
aten.mul.Tensor
TIMM/volo_d1_224
((T([64, 6, 196, 9, 9], f16, stride=(95256, 81, 486, 9, 1)), 0.1767766952966369), {})
aten.mul.Tensor
TIMM/tnt_s_patch16_224
((T([64, 6, 197, 197], f16), 0.125), {})
aten.mul.Tensor
TIMM/mixnet_l
((T([64, 624, 14, 14], f16), T([64, 624, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/tf_mixnet_l
((T([64, 624, 14, 14], f16), T([64, 624, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/mixnet_l
((T([64, 624, 14, 14], f16), T([64, 624, 14, 14], f16)), {})
aten.mul.Tensor
TIMM/tf_mixnet_l
((T([64, 624, 14, 14], f16), T([64, 624, 14, 14], f16)), {})
aten.mul.Tensor
TIMM/sebotnet33ts_256
((T([64, 64, 64, 64], f16), T([64, 64, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/sebotnet33ts_256
((T([64, 64, 64, 64], f16), T([64, 64, 64, 64], f16)), {})
aten.mul.Tensor
TIMM/poolformer_m36
((T([64, 768, 7, 7], f16), T([64, 768, 7, 7], f16)), {})
aten.mul.Tensor
TIMM/poolformer_m36
((T([64, 768, 7, 7], f16), T([768, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/swin_base_patch4_window7_224
((T([64, 784, 256], f16), T([64, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/pit_b_224
((T([64, 8, 257, 257], f16), 0.125), {})
aten.mul.Tensor
TIMM/jx_nest_base
((T([64, 8, 4, 196, 196], f16), 0.1767766952966369), {})
aten.mul.Tensor
TIMM/poolformer_m36
((T([64, 96, 56, 56], f16), T([64, 96, 56, 56], f16)), {})
aten.mul.Tensor
TIMM/poolformer_m36
((T([64, 96, 56, 56], f16), T([96, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/mixnet_l
((T([64, 960, 7, 7], f16), T([64, 960, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/tf_mixnet_l
((T([64, 960, 7, 7], f16), T([64, 960, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/mixnet_l
((T([64, 960, 7, 7], f16), T([64, 960, 7, 7], f16)), {})
aten.mul.Tensor
TIMM/tf_mixnet_l
((T([64, 960, 7, 7], f16), T([64, 960, 7, 7], f16)), {})
aten.mul.Tensor
TorchBench/Super_SloMo
((T([6], f16), T([6], f16)), {})
aten.mul.Tensor
TorchBench/vision_maskrcnn
((T([74], i32), T([], i64)), {})
aten.mul.Tensor
TIMM/dm_nfnet_f0
((T([768, 1, 1, 1], f16), 0.02551551815399144), {})
aten.mul.Tensor
TorchBench/timm_nfnet
((T([768, 1, 1, 1], f16), 0.02551551815399144), {})
aten.mul.Tensor
TIMM/dm_nfnet_f0
((T([768, 1, 1, 1], f16), 0.02946278254943948), {})
aten.mul.Tensor
TorchBench/timm_nfnet
((T([768, 1, 1, 1], f16), 0.02946278254943948), {})
aten.mul.Tensor
TIMM/dm_nfnet_f0
((T([768, 1, 1, 1], f16), 0.04419417382415922), {})
aten.mul.Tensor
TorchBench/timm_nfnet
((T([768, 1, 1, 1], f16), 0.04419417382415922), {})
aten.mul.Tensor
TIMM/poolformer_m36
((T([768, 1, 1], f16), T([64, 768, 7, 7], f16)), {})
aten.mul.Tensor
TorchBench/BERT_pytorch
((T([768], f16), T([16, 128, 768], f16)), {})
aten.mul.Tensor
TIMM/cait_m36_384
((T([768], f16), T([2, 1, 768], f16)), {})
aten.mul.Tensor
TIMM/cait_m36_384
((T([768], f16), T([2, 576, 768], f16)), {})
aten.mul.Tensor
HuggingFace/DebertaForMaskedLM
((T([768], f16), T([4, 512, 768], f16)), {})
aten.mul.Tensor
HuggingFace/DebertaForQuestionAnswering
((T([768], f16), T([4, 512, 768], f16)), {})
aten.mul.Tensor
TIMM/beit_base_patch16_224
((T([768], f16), T([64, 197, 768], f16)), {})
aten.mul.Tensor
TorchBench/vision_maskrcnn
((T([76], i32), T([], i64)), {})
aten.mul.Tensor
HuggingFace/MegatronBertForQuestionAnswering
((T([8, 1, 1, 128], f16), -65504.0), {})
aten.mul.Tensor
TorchBench/hf_Albert
((T([8, 1, 1, 512], f16), -65504.0), {})
aten.mul.Tensor
HuggingFace/MBartForConditionalGeneration
((T([8, 128, 1024], f16), 0.125), {})
aten.mul.Tensor
HuggingFace/PegasusForCausalLM
((T([8, 128, 1024], f16), 0.125), {})
aten.mul.Tensor
HuggingFace/TrOCRForCausalLM
((T([8, 128, 1024], f16), 0.125), {})
aten.mul.Tensor
HuggingFace/MBartForConditionalGeneration
((T([8, 128, 1024], f16), 1.0), {})
aten.mul.Tensor
HuggingFace/PegasusForCausalLM
((T([8, 128, 1024], f16), 1.0), {})
aten.mul.Tensor
HuggingFace/TrOCRForCausalLM
((T([8, 128, 1024], f16), 1.0), {})
aten.mul.Tensor
HuggingFace/PLBartForConditionalGeneration
((T([8, 128, 768], f16), 0.125), {})
aten.mul.Tensor
HuggingFace/PLBartForConditionalGeneration
((T([8, 128, 768], f16), 27.712812921102035), {})
aten.mul.Tensor
TorchBench/yolov3
((T([8, 3, 12, 16, 2], f16), T([1, 3, 1, 1, 2], f32)), {})
aten.mul.Tensor
TorchBench/yolov3
((T([8, 3, 12, 16, 2], f16), T([8, 3, 12, 16, 2], f16)), {})
aten.mul.Tensor
TorchBench/yolov3
((T([8, 3, 12, 16, 2], f32), T([1, 3, 1, 1, 2], f32)), {})
aten.mul.Tensor
TorchBench/yolov3
((T([8, 3, 12, 16, 4], f16), 32), {})
aten.mul.Tensor
TorchBench/yolov3
((T([8, 3, 24, 32, 2], f16), T([1, 3, 1, 1, 2], f32)), {})
aten.mul.Tensor
TorchBench/yolov3
((T([8, 3, 24, 32, 2], f16), T([8, 3, 24, 32, 2], f16)), {})