operator name
stringclasses
180 values
used in model
stringclasses
155 values
args
stringlengths
19
5.24k
aten.sum.SymInt
HuggingFace/DebertaForMaskedLM
((T([2048, 768], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/DebertaForQuestionAnswering
((T([2048, 768], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/DistilBertForMaskedLM
((T([2048, 768], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/PLBartForCausalLM
((T([2048, 768], f16), [0], True), {})
aten.sum.SymInt
TorchBench/BERT_pytorch
((T([2048, 768], f16), [0], True), {})
aten.sum.SymInt
TorchBench/hf_Bart
((T([2048, 768], f16), [0], True), {})
aten.sum.SymInt
TorchBench/hf_Bert
((T([2048, 768], f16), [0], True), {})
aten.sum.SymInt
TorchBench/hf_BigBird
((T([2048, 768], f16), [0], True), {})
aten.sum.SymInt
TorchBench/hf_GPT2
((T([2048, 768], f16), [0], True), {})
aten.sum.SymInt
TorchBench/hf_Longformer
((T([2048, 768], f16), [0], True), {})
aten.sum.SymInt
TorchBench/BERT_pytorch
((T([2048, 768], f16, stride=(0, 0)), [0], True), {})
aten.sum.SymInt
TorchBench/speech_transformer
((T([220, 2048], f16), [0], True), {})
aten.sum.SymInt
TorchBench/speech_transformer
((T([220, 512], f16), [0], True), {})
aten.sum.SymInt
TIMM/gmixer_24_224
((T([24576, 196], f16), [0], True), {})
aten.sum.SymInt
TIMM/twins_pcpvt_base
((T([25088, 1024], f16), [0], True), {})
aten.sum.SymInt
TIMM/twins_pcpvt_base
((T([25088, 128], f16), [0], True), {})
aten.sum.SymInt
TIMM/resmlp_12_224
((T([25088, 384], f16), [0], True), {})
aten.sum.SymInt
TIMM/coat_lite_mini
((T([25216, 1280], f16), [0], True), {})
aten.sum.SymInt
TIMM/coat_lite_mini
((T([25216, 320], f16), [0], True), {})
aten.sum.SymInt
TIMM/coat_lite_mini
((T([25216, 960], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/M2M100ForConditionalGeneration
((T([256, 1024], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/MegatronBertForCausalLM
((T([256, 1024], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/XGLMForCausalLM
((T([256, 1024], f16), [0], True), {})
aten.sum.SymInt
TorchBench/nvidia_deeprecommender
((T([256, 1024], f16), [0], True), {})
aten.sum.SymInt
TIMM/sebotnet33ts_256
((T([256, 16, 16, 16, 16], f16, stride=(65536, 256, 1, 4096, 16)), [2], True), {})
aten.sum.SymInt
TIMM/sebotnet33ts_256
((T([256, 16, 16, 16, 16], f16, stride=(65536, 4096, 16, 256, 1)), [2], True), {})
aten.sum.SymInt
TIMM/swin_base_patch4_window7_224
((T([256, 16, 49, 49], f16), [0], True), {})
aten.sum.SymInt
TorchBench/nvidia_deeprecommender
((T([256, 197951], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/MegatronBertForCausalLM
((T([256, 29056], f16), [0], True), {})
aten.sum.SymInt
TIMM/sebotnet33ts_256
((T([256, 32, 32, 32, 32], f16, stride=(1048576, 1024, 1, 32768, 32)), [2], True), {})
aten.sum.SymInt
TIMM/sebotnet33ts_256
((T([256, 32, 32, 32, 32], f16, stride=(1048576, 32768, 32, 1024, 1)), [2], True), {})
aten.sum.SymInt
HuggingFace/M2M100ForConditionalGeneration
((T([256, 4096], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/MegatronBertForCausalLM
((T([256, 4096], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/XGLMForCausalLM
((T([256, 4096], f16), [0], True), {})
aten.sum.SymInt
TorchBench/nvidia_deeprecommender
((T([256, 512], f16), [0], True), {})
aten.sum.SymInt
TIMM/sebotnet33ts_256
((T([256, 8, 8, 8, 8], f16, stride=(4096, 512, 8, 64, 1)), [2], True), {})
aten.sum.SymInt
TIMM/sebotnet33ts_256
((T([256, 8, 8, 8, 8], f16, stride=(4096, 64, 1, 512, 8)), [2], True), {})
aten.sum.SymInt
TIMM/crossvit_9_240
((T([25664, 128], f16), [0], True), {})
aten.sum.SymInt
TIMM/crossvit_9_240
((T([25664, 384], f16), [0], True), {})
aten.sum.SymInt
TorchBench/fastNLP_Bert
((T([2844, 2], f16), [0], True), {})
aten.sum.SymInt
TorchBench/fastNLP_Bert
((T([2856, 3072], f16), [0], True), {})
aten.sum.SymInt
TorchBench/fastNLP_Bert
((T([2856, 768], f16), [0], True), {})
aten.sum.SymInt
TorchBench/pytorch_struct
((T([30, 256], f16), [0], True), {})
aten.sum.SymInt
TorchBench/pytorch_struct
((T([30, 256], f16, stride=(1, 30)), [0], True), {})
aten.sum.SymInt
TIMM/swin_base_patch4_window7_224
((T([3136, 1024], f16), [0], True), {})
aten.sum.SymInt
TIMM/swin_base_patch4_window7_224
((T([3136, 3072], f16), [0], True), {})
aten.sum.SymInt
TIMM/swin_base_patch4_window7_224
((T([3136, 4096], f16), [0], True), {})
aten.sum.SymInt
TIMM/convmixer_768_32
((T([32, 1000], f16), [0], True), {})
aten.sum.SymInt
TIMM/convnext_base
((T([32, 1000], f16), [0], True), {})
aten.sum.SymInt
TIMM/gluon_senet154
((T([32, 1000], f16), [0], True), {})
aten.sum.SymInt
TIMM/gluon_xception65
((T([32, 1000], f16), [0], True), {})
aten.sum.SymInt
TIMM/legacy_senet154
((T([32, 1000], f16), [0], True), {})
aten.sum.SymInt
TIMM/resnest101e
((T([32, 1000], f16), [0], True), {})
aten.sum.SymInt
TIMM/swsl_resnext101_32x16d
((T([32, 1000], f16), [0], True), {})
aten.sum.SymInt
TIMM/twins_pcpvt_base
((T([32, 1000], f16), [0], True), {})
aten.sum.SymInt
TorchBench/mnasnet1_0
((T([32, 1000], f16, stride=(0, 0)), [0], True), {})
aten.sum.SymInt
TorchBench/mobilenet_v3_large
((T([32, 1000], f16, stride=(0, 0)), [0], True), {})
aten.sum.SymInt
TorchBench/resnet50
((T([32, 1000], f16, stride=(0, 0)), [0], True), {})
aten.sum.SymInt
TorchBench/timm_efficientnet
((T([32, 1000], f16, stride=(0, 0)), [0], True), {})
aten.sum.SymInt
TorchBench/timm_regnet
((T([32, 1000], f16, stride=(0, 0)), [0], True), {})
aten.sum.SymInt
TorchBench/timm_resnest
((T([32, 1000], f16, stride=(0, 0)), [0], True), {})
aten.sum.SymInt
TorchBench/timm_vovnet
((T([32, 1000], f16, stride=(0, 0)), [0], True), {})
aten.sum.SymInt
TIMM/gluon_senet154
((T([32, 1024, 14, 14], f16), [2, 3], True), {})
aten.sum.SymInt
TIMM/legacy_senet154
((T([32, 1024, 14, 14], f16), [2, 3], True), {})
aten.sum.SymInt
TIMM/convnext_base
((T([32, 1024, 7, 7], f16), [0, 2, 3], True), {})
aten.sum.SymInt
TorchBench/timm_efficientnet
((T([32, 1152, 7, 7], f16), [2, 3], True), {})
aten.sum.SymInt
TorchBench/mobilenet_v3_large
((T([32, 120, 28, 28], f16), [2, 3], True), {})
aten.sum.SymInt
HuggingFace/MobileBertForQuestionAnswering
((T([32, 128, 128], f16), [0, 1], True), {})
aten.sum.SymInt
HuggingFace/MobileBertForQuestionAnswering
((T([32, 128, 512], f16), [0, 1], True), {})
aten.sum.SymInt
HuggingFace/MobileBertForQuestionAnswering
((T([32, 128, 512], f16), [0], True), {})
aten.sum.SymInt
TIMM/convnext_base
((T([32, 128, 56, 56], f16, stride=(401408, 1, 7168, 128)), [0, 2, 3], True), {})
aten.sum.SymInt
TIMM/convnext_base
((T([32, 128, 56, 56], f16, stride=(401408, 1, 7168, 128)), [1], True), {})
aten.sum.SymInt
HuggingFace/DistilBertForQuestionAnswering
((T([32, 128, 768], f16), [0], True), {})
aten.sum.SymInt
TorchBench/mobilenet_v3_large
((T([32, 1280], f16), [0], True), {})
aten.sum.SymInt
TIMM/convnext_base
((T([32, 14, 14, 2048], f16), [0, 1, 2], True), {})
aten.sum.SymInt
TIMM/convnext_base
((T([32, 14, 14, 512], f16), [0, 1, 2], True), {})
aten.sum.SymInt
TorchBench/timm_efficientnet
((T([32, 144, 28, 28], f16), [2, 3], True), {})
aten.sum.SymInt
TorchBench/timm_efficientnet
((T([32, 144, 56, 56], f16), [2, 3], True), {})
aten.sum.SymInt
TIMM/resnest101e
((T([32, 2, 128, 32, 32], f16), [3, 4], True), {})
aten.sum.SymInt
TorchBench/timm_resnest
((T([32, 2, 128, 56, 56], f16), [3, 4], True), {})
aten.sum.SymInt
TIMM/resnest101e
((T([32, 2, 128, 64, 64], f16), [3, 4], True), {})
aten.sum.SymInt
TIMM/resnest101e
((T([32, 2, 256, 16, 16], f16), [3, 4], True), {})
aten.sum.SymInt
TorchBench/timm_resnest
((T([32, 2, 256, 28, 28], f16), [3, 4], True), {})
aten.sum.SymInt
TIMM/resnest101e
((T([32, 2, 256, 32, 32], f16), [3, 4], True), {})
aten.sum.SymInt
TorchBench/timm_resnest
((T([32, 2, 512, 14, 14], f16), [3, 4], True), {})
aten.sum.SymInt
TIMM/resnest101e
((T([32, 2, 512, 16, 16], f16), [3, 4], True), {})
aten.sum.SymInt
TIMM/resnest101e
((T([32, 2, 512, 8, 8], f16), [3, 4], True), {})
aten.sum.SymInt
TorchBench/timm_resnest
((T([32, 2, 64, 56, 56], f16), [3, 4], True), {})
aten.sum.SymInt
TIMM/resnest101e
((T([32, 2, 64, 64, 64], f16), [3, 4], True), {})
aten.sum.SymInt
TIMM/gluon_senet154
((T([32, 2048, 7, 7], f16), [2, 3], True), {})
aten.sum.SymInt
TIMM/legacy_senet154
((T([32, 2048, 7, 7], f16), [2, 3], True), {})
aten.sum.SymInt
TorchBench/timm_regnet
((T([32, 224, 56, 56], f16), [2, 3], True), {})
aten.sum.SymInt
TorchBench/timm_regnet
((T([32, 2240, 7, 7], f16), [2, 3], True), {})
aten.sum.SymInt
TorchBench/timm_efficientnet
((T([32, 240, 14, 14], f16), [2, 3], True), {})
aten.sum.SymInt
TorchBench/timm_efficientnet
((T([32, 240, 28, 28], f16), [2, 3], True), {})
aten.sum.SymInt
TIMM/convnext_base
((T([32, 256, 28, 28], f16, stride=(200704, 1, 7168, 256)), [0, 2, 3], True), {})
aten.sum.SymInt
TIMM/convnext_base
((T([32, 256, 28, 28], f16, stride=(200704, 1, 7168, 256)), [1], True), {})
aten.sum.SymInt
TIMM/gluon_senet154
((T([32, 256, 56, 56], f16), [2, 3], True), {})
aten.sum.SymInt
TIMM/legacy_senet154
((T([32, 256, 56, 56], f16), [2, 3], True), {})
aten.sum.SymInt
TIMM/convnext_base
((T([32, 28, 28, 1024], f16), [0, 1, 2], True), {})