operator name
stringclasses
180 values
used in model
stringclasses
155 values
args
stringlengths
19
5.24k
aten.add.Tensor
HuggingFace/DistillGPT2
((T([1, 512, 768], f16), T([1, 512, 768], f16)), {})
aten.add.Tensor
HuggingFace/GoogleFnet
((T([1, 512, 768], f16), T([1, 512, 768], f16)), {})
aten.add.Tensor
HuggingFace/YituTechConvBert
((T([1, 512, 768], f16), T([1, 512, 768], f16)), {})
aten.add.Tensor
HuggingFace/YituTechConvBert
((T([1, 512, 768], f16), T([1, 512, 768], f16, stride=(393216, 1, 512))), {})
aten.add.Tensor
HuggingFace/GoogleFnet
((T([1, 512, 768], f16), T([1, 512, 768], f16, stride=(786432, 1536, 2))), {})
aten.add.Tensor
TorchBench/pytorch_unet
((T([1, 512, 80, 119], f16), T([1, 512, 80, 119], f16)), {})
aten.add.Tensor
HuggingFace/CamemBert
((T([1, 512], i32), 0), {})
aten.add.Tensor
HuggingFace/CamemBert
((T([1, 512], i64), 1), {})
aten.add.Tensor
HuggingFace/YituTechConvBert
((T([1, 6, 512, 512], f16), T([1, 1, 1, 512], f16)), {})
aten.add.Tensor
TorchBench/vision_maskrcnn
((T([1, 64, 1, 1], f16), 0.0), {})
aten.add.Tensor
TorchBench/pytorch_unet
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aten.add.Tensor
TorchBench/timm_efficientdet
((T([1, 672, 20, 20], f16), T([1, 672, 20, 20], f16)), {})
aten.add.Tensor
TorchBench/timm_efficientdet
((T([1, 672, 40, 40], f16), T([1, 672, 40, 40], f16)), {})
aten.add.Tensor
TorchBench/timm_efficientdet
((T([1, 80, 40, 40], f16), T([1, 80, 40, 40], f16)), {})
aten.add.Tensor
TorchBench/timm_efficientdet
((T([1, 88, 10, 10], f16), T([1, 88, 10, 10], f16)), {})
aten.add.Tensor
TorchBench/timm_efficientdet
((T([1, 88, 20, 20], f16), T([1, 88, 20, 20], f16)), {})
aten.add.Tensor
TorchBench/timm_efficientdet
((T([1, 88, 40, 40], f16), T([1, 88, 40, 40], f16)), {})
aten.add.Tensor
TorchBench/timm_efficientdet
((T([1, 88, 5, 5], f16), T([1, 88, 5, 5], f16)), {})
aten.add.Tensor
TorchBench/timm_efficientdet
((T([1, 88, 80, 80], f16), T([1, 88, 80, 80], f16)), {})
aten.add.Tensor
TorchBench/timm_efficientdet
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aten.add.Tensor
TorchBench/speech_transformer
((T([10, 204, 512], f16), T([1, 204, 512], f16)), {})
aten.add.Tensor
TorchBench/speech_transformer
((T([10, 204, 512], f16), T([10, 204, 512], f16)), {})
aten.add.Tensor
TorchBench/speech_transformer
((T([10, 22, 22], b8, stride=(22, 0, 1)), T([10, 22, 22], u8, stride=(0, 22, 1))), {})
aten.add.Tensor
TorchBench/speech_transformer
((T([10, 22, 512], f16), T([1, 22, 512], f16)), {})
aten.add.Tensor
TorchBench/speech_transformer
((T([10, 22, 512], f16), T([10, 22, 512], f16)), {})
aten.add.Tensor
HuggingFace/Speech2Text2ForCausalLM
((T([10000, 256], f16), T([10000, 256], f16)), {})
aten.add.Tensor
TorchBench/hf_BigBird
((T([1008], i64), T([1008], i64)), {})
aten.add.Tensor
TorchBench/speech_transformer
((T([1014, 512], f16), T([1014, 512], f16)), {})
aten.add.Tensor
TIMM/eca_halonext26ts
((T([1024, 1, 64, 144], f16), T([1024, 1, 64, 144], f16)), {})
aten.add.Tensor
TIMM/eca_halonext26ts
((T([1024, 1, 64, 16], f16), T([1024, 1, 64, 16], f16)), {})
aten.add.Tensor
HuggingFace/AllenaiLongformerBase
((T([1024, 1, 768], f16), T([1024, 1, 768], f16)), {})
aten.add.Tensor
TorchBench/fambench_dlrm
((T([1024, 192], f16, stride=(31068, 1)), T([1024, 192], f16, stride=(47808, 1))), {})
aten.add.Tensor
TorchBench/hf_Longformer
((T([1024, 2, 768], f16), T([1024, 2, 768], f16)), {})
aten.add.Tensor
TorchBench/hf_Longformer
((T([1024, 2, 768], f16), T([768], f16)), {})
aten.add.Tensor
TorchBench/fambench_dlrm
((T([1024, 249, 192], f16), T([1024, 249, 192], f16, stride=(47808, 1, 249))), {})
aten.add.Tensor
TIMM/eca_halonext26ts
((T([1024, 4, 16, 144], f16), T([1024, 4, 16, 144], f16)), {})
aten.add.Tensor
TIMM/eca_halonext26ts
((T([1024, 4, 16, 16], f16), T([1024, 4, 16, 16], f16)), {})
aten.add.Tensor
TIMM/eca_halonext26ts
((T([1024, 4, 64, 144], f16), T([1024, 4, 64, 144], f16)), {})
aten.add.Tensor
TIMM/eca_halonext26ts
((T([1024, 4, 64, 16], f16), T([1024, 4, 64, 16], f16)), {})
aten.add.Tensor
HuggingFace/LayoutLMForMaskedLM
((T([1024, 768], f16), T([1024, 768], f16)), {})
aten.add.Tensor
HuggingFace/LayoutLMForSequenceClassification
((T([1024, 768], f16), T([1024, 768], f16)), {})
aten.add.Tensor
TIMM/swin_base_patch4_window7_224
((T([1024, 8, 49, 49], f16), T([1, 8, 49, 49], f16)), {})
aten.add.Tensor
TIMM/eca_halonext26ts
((T([1024, 8, 8, 12, 12], f16, stride=(1656, 23, 207, 1, 0)), T([1024, 8, 8, 12, 12], f16, stride=(1656, 207, 23, 0, 1))), {})
aten.add.Tensor
TIMM/eca_halonext26ts
((T([1024, 8, 8, 16], f16, stride=(1024, 16, 128, 1)), T([1024, 8, 8, 16], f16)), {})
aten.add.Tensor
HuggingFace/BartForCausalLM
((T([1024], i64), 1), {})
aten.add.Tensor
HuggingFace/BartForConditionalGeneration
((T([1024], i64), 1), {})
aten.add.Tensor
HuggingFace/AllenaiLongformerBase
((T([12, 3, 512, 513], f16), T([12, 3, 512, 513], f16)), {})
aten.add.Tensor
TIMM/coat_lite_mini
((T([120, 1, 5, 5], f16), T([120, 1, 5, 5], f16)), {})
aten.add.Tensor
TIMM/coat_lite_mini
((T([120, 1, 7, 7], f16), T([120, 1, 7, 7], f16)), {})
aten.add.Tensor
TIMM/coat_lite_mini
((T([120], f16), T([120], f16)), {})
aten.add.Tensor
TIMM/tnt_s_patch16_224
((T([12544, 16, 24], f16), T([12544, 16, 24], f16)), {})
aten.add.Tensor
TIMM/tnt_s_patch16_224
((T([12544, 16, 24], f16, stride=(384, 1, 16)), T([12544, 16, 24], f16)), {})
aten.add.Tensor
TIMM/tnt_s_patch16_224
((T([12544, 24, 4, 4], f16), T([1, 24, 4, 4], f16)), {})
aten.add.Tensor
TIMM/coat_lite_mini
((T([128, 1, 3, 3], f16), T([128, 1, 3, 3], f16)), {})
aten.add.Tensor
TIMM/ghostnet_100
((T([128, 100, 14, 14], f16, stride=(39200, 196, 14, 1)), T([128, 100, 14, 14], f16)), {})
aten.add.Tensor
TIMM/levit_128
((T([128, 1000], f16), T([128, 1000], f16)), {})
aten.add.Tensor
TIMM/res2net50_14w_8s
((T([128, 1024, 14, 14], f16), T([128, 1024, 14, 14], f16)), {})
aten.add.Tensor
TIMM/res2next50
((T([128, 1024, 14, 14], f16), T([128, 1024, 14, 14], f16)), {})
aten.add.Tensor
TIMM/botnet26t_256
((T([128, 1024, 16, 16], f16), T([128, 1024, 16, 16], f16)), {})
aten.add.Tensor
TIMM/eca_botnext26ts_256
((T([128, 1024, 16, 16], f16), T([128, 1024, 16, 16], f16)), {})
aten.add.Tensor
TIMM/eca_halonext26ts
((T([128, 1024, 16, 16], f16), T([128, 1024, 16, 16], f16)), {})
aten.add.Tensor
TIMM/ese_vovnet19b_dw
((T([128, 1024, 7, 7], f16), T([128, 1024, 7, 7], f16)), {})
aten.add.Tensor
TIMM/hrnet_w18
((T([128, 1024, 7, 7], f16), T([128, 1024, 7, 7], f16)), {})
aten.add.Tensor
TIMM/rexnet_100
((T([128, 1044, 7, 7], f16), T([128, 1044, 7, 7], f16)), {})
aten.add.Tensor
TIMM/rexnet_100
((T([128, 106, 14, 14], f16), T([128, 106, 14, 14], f16)), {})
aten.add.Tensor
TIMM/rexnet_100
((T([128, 106, 14, 14], f16, stride=(22932, 196, 14, 1)), T([128, 106, 14, 14], f16)), {})
aten.add.Tensor
TIMM/fbnetv3_b
((T([128, 1104, 7, 7], f16), T([128, 1104, 7, 7], f16)), {})
aten.add.Tensor
TIMM/tinynet_a
((T([128, 112, 12, 12], f16), T([128, 112, 12, 12], f16)), {})
aten.add.Tensor
TIMM/fbnetc_100
((T([128, 112, 14, 14], f16), T([128, 112, 14, 14], f16)), {})
aten.add.Tensor
TIMM/ghostnet_100
((T([128, 112, 14, 14], f16), T([128, 112, 14, 14], f16)), {})
aten.add.Tensor
TIMM/hardcorenas_a
((T([128, 112, 14, 14], f16), T([128, 112, 14, 14], f16)), {})
aten.add.Tensor
TIMM/mobilenetv3_large_100
((T([128, 112, 14, 14], f16), T([128, 112, 14, 14], f16)), {})
aten.add.Tensor
TIMM/tf_efficientnet_b0
((T([128, 112, 14, 14], f16), T([128, 112, 14, 14], f16)), {})
aten.add.Tensor
TIMM/res2net50_14w_8s
((T([128, 112, 7, 7], f16), T([128, 112, 7, 7], f16, stride=(43904, 49, 7, 1))), {})
aten.add.Tensor
TIMM/res2net50_14w_8s
((T([128, 112, 7, 7], f16, stride=(43904, 49, 7, 1)), T([128, 112, 7, 7], f16)), {})
aten.add.Tensor
TIMM/tinynet_a
((T([128, 1152, 6, 6], f16), T([128, 1152, 6, 6], f16)), {})
aten.add.Tensor
TIMM/hardcorenas_a
((T([128, 1152, 7, 7], f16), T([128, 1152, 7, 7], f16)), {})
aten.add.Tensor
TIMM/tf_efficientnet_b0
((T([128, 1152, 7, 7], f16), T([128, 1152, 7, 7], f16)), {})
aten.add.Tensor
TorchBench/shufflenet_v2_x1_0
((T([128, 116, 28, 28], f16), T([128, 116, 28, 28], f16)), {})
aten.add.Tensor
TIMM/rexnet_100
((T([128, 117, 14, 14], f16), T([128, 117, 14, 14], f16)), {})
aten.add.Tensor
TIMM/rexnet_100
((T([128, 117, 14, 14], f16, stride=(25088, 196, 14, 1)), T([128, 117, 14, 14], f16)), {})
aten.add.Tensor
TIMM/levit_128
((T([128, 12, 16, 16], f16), T([12, 16, 16], f16)), {})
aten.add.Tensor
TIMM/ghostnet_100
((T([128, 12, 56, 56], f16, stride=(75264, 3136, 56, 1)), T([128, 12, 56, 56], f16)), {})
aten.add.Tensor
TIMM/fbnetv3_b
((T([128, 120, 14, 14], f16), T([128, 120, 14, 14], f16)), {})
aten.add.Tensor
TIMM/fbnetv3_b
((T([128, 120, 28, 28], f16), T([128, 120, 28, 28], f16)), {})
aten.add.Tensor
TIMM/ghostnet_100
((T([128, 120, 28, 28], f16), T([128, 120, 28, 28], f16)), {})
aten.add.Tensor
TIMM/mobilenetv3_large_100
((T([128, 120, 28, 28], f16), T([128, 120, 28, 28], f16)), {})
aten.add.Tensor
TIMM/ghostnet_100
((T([128, 120, 28, 28], f16, stride=(188160, 784, 28, 1)), T([128, 120, 28, 28], f16)), {})
aten.add.Tensor
TIMM/rexnet_100
((T([128, 128, 14, 14], f16), T([128, 128, 14, 14], f16)), {})
aten.add.Tensor
TIMM/res2next50
((T([128, 128, 14, 14], f16), T([128, 128, 14, 14], f16, stride=(100352, 196, 14, 1))), {})
aten.add.Tensor
TIMM/res2next50
((T([128, 128, 14, 14], f16, stride=(100352, 196, 14, 1)), T([128, 128, 14, 14], f16)), {})
aten.add.Tensor
TIMM/resnet18
((T([128, 128, 28, 28], f16), T([128, 128, 28, 28], f16)), {})
aten.add.Tensor
TIMM/coat_lite_mini
((T([128, 128, 28, 28], f16), T([128, 128, 28, 28], f16, stride=(100480, 1, 3584, 128))), {})
aten.add.Tensor
TIMM/coat_lite_mini
((T([128, 128, 28, 28], f16, stride=(100480, 1, 3584, 128)), T([128, 128, 28, 28], f16, stride=(100352, 1, 3584, 128))), {})
aten.add.Tensor
TIMM/eca_botnext26ts_256
((T([128, 128, 32, 32], f16), T([128, 128, 32, 32], f16)), {})
aten.add.Tensor
TIMM/eca_halonext26ts
((T([128, 128, 32, 32], f16), T([128, 128, 32, 32], f16)), {})
aten.add.Tensor
TIMM/dm_nfnet_f0
((T([128, 128, 48, 48], f16), T([128, 128, 48, 48], f16)), {})
aten.add.Tensor
TorchBench/timm_nfnet
((T([128, 128, 48, 48], f16), T([128, 128, 48, 48], f16)), {})
aten.add.Tensor
TIMM/nfnet_l0
((T([128, 128, 56, 56], f16), T([128, 128, 56, 56], f16)), {})
aten.add.Tensor
TIMM/ese_vovnet19b_dw
((T([128, 128, 56, 56], f16, stride=(1404928, 3136, 56, 1)), T([128, 128, 56, 56], f16)), {})