operator name
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180 values
used in model
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155 values
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5.24k
aten.add.Tensor
TorchBench/mobilenet_v3_large
((T([32, 72, 28, 28], f16), T([32, 72, 28, 28], f16)), {})
aten.add.Tensor
TIMM/gluon_xception65
((T([32, 728, 19, 19], f16), T([32, 728, 19, 19], f16)), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 768, 14, 14], f16, stride=(163072, 196, 14, 1)), T([32, 768, 14, 14], f16, stride=(351232, 196, 14, 1))), {})
aten.add.Tensor
TorchBench/timm_vovnet
((T([32, 768, 14, 14], f16, stride=(338688, 196, 14, 1)), T([32, 768, 14, 14], f16)), {})
aten.add.Tensor
TIMM/convmixer_768_32
((T([32, 768, 32, 32], f16), T([32, 768, 32, 32], f16)), {})
aten.add.Tensor
TorchBench/timm_vovnet
((T([32, 768, 7, 7], f16, stride=(92512, 49, 7, 1)), T([32, 768, 7, 7], f16)), {})
aten.add.Tensor
TIMM/twins_pcpvt_base
((T([32, 784, 128], f16), T([32, 784, 128], f16)), {})
aten.add.Tensor
TIMM/twins_pcpvt_base
((T([32, 784, 128], f16, stride=(100352, 1, 784)), T([32, 784, 128], f16)), {})
aten.add.Tensor
TorchBench/mnasnet1_0
((T([32, 80, 14, 14], f16), T([32, 80, 14, 14], f16)), {})
aten.add.Tensor
TorchBench/mobilenet_v3_large
((T([32, 80, 14, 14], f16), T([32, 80, 14, 14], f16)), {})
aten.add.Tensor
TorchBench/timm_efficientnet
((T([32, 80, 14, 14], f16), T([32, 80, 14, 14], f16)), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 80, 56, 56], f16, stride=(313600, 3136, 56, 1)), T([32, 80, 56, 56], f16, stride=(1053696, 3136, 56, 1))), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 832, 14, 14], f16, stride=(175616, 196, 14, 1)), T([32, 832, 14, 14], f16, stride=(363776, 196, 14, 1))), {})
aten.add.Tensor
TorchBench/timm_regnet
((T([32, 896, 14, 14], f16), T([32, 896, 14, 14], f16)), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 896, 14, 14], f16, stride=(188160, 196, 14, 1)), T([32, 896, 14, 14], f16, stride=(376320, 196, 14, 1))), {})
aten.add.Tensor
TorchBench/mnasnet1_0
((T([32, 96, 14, 14], f16), T([32, 96, 14, 14], f16)), {})
aten.add.Tensor
TorchBench/timm_efficientnet
((T([32, 96, 56, 56], f16), T([32, 96, 56, 56], f16)), {})
aten.add.Tensor
TIMM/dpn107
((T([32, 960, 14, 14], f16, stride=(200704, 196, 14, 1)), T([32, 960, 14, 14], f16, stride=(388864, 196, 14, 1))), {})
aten.add.Tensor
TorchBench/mobilenet_v3_large
((T([32, 960, 7, 7], f16), T([32, 960, 7, 7], f16)), {})
aten.add.Tensor
TIMM/coat_lite_mini
((T([320, 1, 3, 3], f16), T([320, 1, 3, 3], f16)), {})
aten.add.Tensor
HuggingFace/XLNetLMHeadModel
((T([32000, 1024], f16), T([32000, 1024], f16)), {})
aten.add.Tensor
HuggingFace/GoogleFnet
((T([32000, 768], f16), T([32000, 768], f16)), {})
aten.add.Tensor
HuggingFace/CamemBert
((T([32005, 768], f16), T([32005, 768], f16)), {})
aten.add.Tensor
TIMM/coat_lite_mini
((T([320], f16), T([320], f16)), {})
aten.add.Tensor
TIMM/coat_lite_mini
((T([32], f16), T([32], f16)), {})
aten.add.Tensor
TorchBench/timm_efficientdet
((T([36, 88, 1, 1], f16), T([36, 88, 1, 1], f16)), {})
aten.add.Tensor
TorchBench/vision_maskrcnn
((T([361, 1, 4], i32), T([1, 3, 4], f16)), {})
aten.add.Tensor
TorchBench/timm_efficientdet
((T([36], f16), T([36], f16)), {})
aten.add.Tensor
TorchBench/timm_efficientdet
((T([3], f16), T([3], f16)), {})
aten.add.Tensor
TorchBench/timm_efficientdet
((T([3], f16), T([3], f16, stride=(0,))), {})
aten.add.Tensor
HuggingFace/OPTForCausalLM
((T([4, 1, 128, 128], f16), T([4, 1, 128, 128], f16)), {})
aten.add.Tensor
TorchBench/vision_maskrcnn
((T([4, 1000], i64), 0), {})
aten.add.Tensor
TorchBench/vision_maskrcnn
((T([4, 1000], i64), 269952), {})
aten.add.Tensor
TorchBench/vision_maskrcnn
((T([4, 1000], i64), 337440), {})
aten.add.Tensor
TorchBench/vision_maskrcnn
((T([4, 1000], i64), 354312), {})
aten.add.Tensor
TorchBench/vision_maskrcnn
((T([4, 1000], i64), 358530), {})
aten.add.Tensor
HuggingFace/BartForCausalLM
((T([4, 1024, 1024], f16), T([4, 1024, 1024], f16)), {})
aten.add.Tensor
HuggingFace/GPT2ForSequenceClassification
((T([4, 1024, 3072], f16), 1.0), {})
aten.add.Tensor
HuggingFace/GPT2ForSequenceClassification
((T([4, 1024, 3072], f16), T([4, 1024, 3072], f16)), {})
aten.add.Tensor
TorchBench/vision_maskrcnn
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aten.add.Tensor
TorchBench/vision_maskrcnn
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aten.add.Tensor
HuggingFace/GPT2ForSequenceClassification
((T([4, 1024, 768], f16), T([1, 1024, 768], f16)), {})
aten.add.Tensor
HuggingFace/GPT2ForSequenceClassification
((T([4, 1024, 768], f16), T([4, 1024, 768], f16)), {})
aten.add.Tensor
HuggingFace/BartForCausalLM
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aten.add.Tensor
HuggingFace/RobertaForCausalLM
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aten.add.Tensor
HuggingFace/OPTForCausalLM
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aten.add.Tensor
TorchBench/hf_Bert
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aten.add.Tensor
TorchBench/hf_Bart
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aten.add.Tensor
HuggingFace/DebertaForMaskedLM
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aten.add.Tensor
HuggingFace/DebertaForQuestionAnswering
((T([4, 12, 512, 64], f16, stride=(1179648, 192, 2304, 1)), T([1, 12, 1, 64], f16)), {})
aten.add.Tensor
HuggingFace/PegasusForConditionalGeneration
((T([4, 128, 1024], f16), T([128, 1024], f16)), {})
aten.add.Tensor
HuggingFace/PegasusForConditionalGeneration
((T([4, 128, 1024], f16), T([4, 128, 1024], f16)), {})
aten.add.Tensor
TorchBench/vision_maskrcnn
((T([4, 128, 148, 152], f16), T([1, 128, 1, 1], f16)), {})
aten.add.Tensor
TorchBench/densenet121
((T([4, 128, 28, 28], f16), T([4, 128, 28, 28], f16)), {})
aten.add.Tensor
TorchBench/densenet121
((T([4, 128, 28, 28], f16), T([4, 128, 28, 28], f16, stride=(125440, 784, 28, 1))), {})
aten.add.Tensor
TorchBench/densenet121
((T([4, 128, 28, 28], f16), T([4, 128, 28, 28], f16, stride=(150528, 784, 28, 1))), {})
aten.add.Tensor
TorchBench/densenet121
((T([4, 128, 28, 28], f16), T([4, 128, 28, 28], f16, stride=(175616, 784, 28, 1))), {})
aten.add.Tensor
TorchBench/densenet121
((T([4, 128, 28, 28], f16), T([4, 128, 28, 28], f16, stride=(200704, 784, 28, 1))), {})
aten.add.Tensor
TorchBench/densenet121
((T([4, 128, 28, 28], f16), T([4, 128, 28, 28], f16, stride=(225792, 784, 28, 1))), {})
aten.add.Tensor
TorchBench/densenet121
((T([4, 128, 28, 28], f16), T([4, 128, 28, 28], f16, stride=(250880, 784, 28, 1))), {})
aten.add.Tensor
TorchBench/densenet121
((T([4, 128, 28, 28], f16), T([4, 128, 28, 28], f16, stride=(275968, 784, 28, 1))), {})
aten.add.Tensor
TorchBench/densenet121
((T([4, 128, 28, 28], f16), T([4, 128, 28, 28], f16, stride=(301056, 784, 28, 1))), {})
aten.add.Tensor
TorchBench/densenet121
((T([4, 128, 28, 28], f16), T([4, 128, 28, 28], f16, stride=(326144, 784, 28, 1))), {})
aten.add.Tensor
TorchBench/densenet121
((T([4, 128, 28, 28], f16), T([4, 128, 28, 28], f16, stride=(351232, 784, 28, 1))), {})
aten.add.Tensor
TorchBench/densenet121
((T([4, 128, 28, 28], f16, stride=(401408, 784, 28, 1)), T([4, 128, 28, 28], f16, stride=(376320, 784, 28, 1))), {})
aten.add.Tensor
TorchBench/vision_maskrcnn
((T([4, 128, 296, 304], f16), T([1, 128, 1, 1], f16)), {})
aten.add.Tensor
HuggingFace/PegasusForConditionalGeneration
((T([4, 128, 50265], f16), T([1, 50265], f16)), {})
aten.add.Tensor
HuggingFace/OPTForCausalLM
((T([4, 128, 768], f16), T([4, 128, 768], f16)), {})
aten.add.Tensor
HuggingFace/RobertaForCausalLM
((T([4, 128, 768], f16), T([4, 128, 768], f16)), {})
aten.add.Tensor
HuggingFace/RobertaForCausalLM
((T([4, 128], i32), 0), {})
aten.add.Tensor
HuggingFace/RobertaForCausalLM
((T([4, 128], i64), 0), {})
aten.add.Tensor
HuggingFace/OPTForCausalLM
((T([4, 128], i64), 2), {})
aten.add.Tensor
HuggingFace/BartForCausalLM
((T([4, 16, 1024, 1024], f16), T([4, 1, 1024, 1024], f16)), {})
aten.add.Tensor
HuggingFace/PegasusForConditionalGeneration
((T([4, 16, 128, 128], f16), T([4, 1, 128, 128], f16)), {})
aten.add.Tensor
HuggingFace/XLNetLMHeadModel
((T([4, 16, 512, 512], f16), 0), {})
aten.add.Tensor
HuggingFace/XLNetLMHeadModel
((T([4, 16, 512, 512], f16), T([4, 16, 512, 512], f16)), {})
aten.add.Tensor
TorchBench/vision_maskrcnn
((T([4, 2048, 37, 38], f16), T([1, 2048, 1, 1], f16)), {})
aten.add.Tensor
TorchBench/vision_maskrcnn
((T([4, 2048, 37, 38], f16), T([4, 2048, 37, 38], f16)), {})
aten.add.Tensor
TorchBench/densenet121
((T([4, 256, 14, 14], f16), T([4, 256, 14, 14], f16)), {})
aten.add.Tensor
TorchBench/densenet121
((T([4, 256, 14, 14], f16), T([4, 256, 14, 14], f16, stride=(100352, 196, 14, 1))), {})
aten.add.Tensor
TorchBench/densenet121
((T([4, 256, 14, 14], f16), T([4, 256, 14, 14], f16, stride=(106624, 196, 14, 1))), {})
aten.add.Tensor
TorchBench/densenet121
((T([4, 256, 14, 14], f16), T([4, 256, 14, 14], f16, stride=(112896, 196, 14, 1))), {})
aten.add.Tensor
TorchBench/densenet121
((T([4, 256, 14, 14], f16), T([4, 256, 14, 14], f16, stride=(119168, 196, 14, 1))), {})
aten.add.Tensor
TorchBench/densenet121
((T([4, 256, 14, 14], f16), T([4, 256, 14, 14], f16, stride=(125440, 196, 14, 1))), {})
aten.add.Tensor
TorchBench/densenet121
((T([4, 256, 14, 14], f16), T([4, 256, 14, 14], f16, stride=(131712, 196, 14, 1))), {})
aten.add.Tensor
TorchBench/densenet121
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aten.add.Tensor
TorchBench/densenet121
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aten.add.Tensor
TorchBench/densenet121
((T([4, 256, 14, 14], f16), T([4, 256, 14, 14], f16, stride=(150528, 196, 14, 1))), {})
aten.add.Tensor
TorchBench/densenet121
((T([4, 256, 14, 14], f16), T([4, 256, 14, 14], f16, stride=(156800, 196, 14, 1))), {})
aten.add.Tensor
TorchBench/densenet121
((T([4, 256, 14, 14], f16), T([4, 256, 14, 14], f16, stride=(163072, 196, 14, 1))), {})
aten.add.Tensor
TorchBench/densenet121
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aten.add.Tensor
TorchBench/densenet121
((T([4, 256, 14, 14], f16), T([4, 256, 14, 14], f16, stride=(175616, 196, 14, 1))), {})
aten.add.Tensor
TorchBench/densenet121
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aten.add.Tensor
TorchBench/densenet121
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aten.add.Tensor
TorchBench/densenet121
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aten.add.Tensor
TorchBench/densenet121
((T([4, 256, 14, 14], f16), T([4, 256, 14, 14], f16, stride=(62720, 196, 14, 1))), {})
aten.add.Tensor
TorchBench/densenet121
((T([4, 256, 14, 14], f16), T([4, 256, 14, 14], f16, stride=(68992, 196, 14, 1))), {})
aten.add.Tensor
TorchBench/densenet121
((T([4, 256, 14, 14], f16), T([4, 256, 14, 14], f16, stride=(75264, 196, 14, 1))), {})
aten.add.Tensor
TorchBench/densenet121
((T([4, 256, 14, 14], f16), T([4, 256, 14, 14], f16, stride=(81536, 196, 14, 1))), {})
aten.add.Tensor
TorchBench/densenet121
((T([4, 256, 14, 14], f16), T([4, 256, 14, 14], f16, stride=(87808, 196, 14, 1))), {})