Datasets:
GPUMODE
/
backendbench_tests

Dataset card Data Studio Files
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6
operator name
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180 values
used in model
stringclasses
155 values
args
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19
5.24k
aten._to_copy.default
TorchBench/timm_efficientdet
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aten._to_copy.default
TorchBench/timm_efficientdet
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aten._to_copy.default
TorchBench/timm_efficientdet
((T([5000], i64),), {'dtype': f32, 'layout': torch.strided, 'device': 'cuda', 'pin_memory': False})
aten._to_copy.default
TorchBench/hf_Bart
((T([512, 512], f32),), {'dtype': f16})
aten._to_copy.default
TorchBench/fastNLP_Bert
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aten._to_copy.default
TorchBench/Super_SloMo
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aten._to_copy.default
TorchBench/fastNLP_Bert
((T([6, 474], i64),), {'dtype': i64, 'layout': torch.strided, 'device': "torch.device('cpu')"})
aten._to_copy.default
TorchBench/fastNLP_Bert
((T([6, 476], b8),), {'dtype': i64})
aten._to_copy.default
HuggingFace/BertForMaskedLM
((T([64, 1, 1, 128], f32),), {'dtype': f16})
aten._to_copy.default
HuggingFace/BertForQuestionAnswering
((T([64, 1, 1, 128], f32),), {'dtype': f16})
aten._to_copy.default
HuggingFace/RobertaForQuestionAnswering
((T([64, 1, 1, 128], f32),), {'dtype': f16})
aten._to_copy.default
HuggingFace/ElectraForQuestionAnswering
((T([64, 1, 1, 512], f32),), {'dtype': f16})
aten._to_copy.default
HuggingFace/BlenderbotSmallForCausalLM
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aten._to_copy.default
HuggingFace/BlenderbotSmallForConditionalGeneration
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aten._to_copy.default
HuggingFace/Speech2Text2ForCausalLM
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aten._to_copy.default
HuggingFace/RobertaForQuestionAnswering
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aten._to_copy.default
HuggingFace/Speech2Text2ForCausalLM
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aten._to_copy.default
HuggingFace/RobertaForQuestionAnswering
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aten._to_copy.default
HuggingFace/Speech2Text2ForCausalLM
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aten._to_copy.default
HuggingFace/RobertaForQuestionAnswering
((T([64, 128], i64),), {'dtype': i32, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
HuggingFace/Speech2Text2ForCausalLM
((T([64, 128], i64),), {'dtype': i32, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
TorchBench/fastNLP_Bert
((T([6], i64),), {'dtype': i64, 'device': 'cuda'})
aten._to_copy.default
HuggingFace/MegatronBertForQuestionAnswering
((T([8, 1, 1, 128], f32),), {'dtype': f16})
aten._to_copy.default
TorchBench/hf_Albert
((T([8, 1, 1, 512], f32),), {'dtype': f16})
aten._to_copy.default
HuggingFace/MBartForConditionalGeneration
((T([8, 1, 128, 128], f16, stride=(0, 16384, 128, 1)),), {'dtype': f16, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
HuggingFace/PLBartForConditionalGeneration
((T([8, 1, 128, 128], f16, stride=(0, 16384, 128, 1)),), {'dtype': f16, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
HuggingFace/PegasusForCausalLM
((T([8, 1, 128, 128], f16, stride=(0, 16384, 128, 1)),), {'dtype': f16, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
HuggingFace/TrOCRForCausalLM
((T([8, 1, 128, 128], f16, stride=(0, 16384, 128, 1)),), {'dtype': f16, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
TorchBench/yolov3
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aten._to_copy.default
TorchBench/yolov3
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aten._to_copy.default
TorchBench/yolov3
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aten._to_copy.default
TorchBench/yolov3
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aten._to_copy.default
TorchBench/yolov3
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aten._to_copy.default
TorchBench/yolov3
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aten._to_copy.default
HuggingFace/DistillGPT2
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aten._to_copy.default
HuggingFace/GPT2ForSequenceClassification
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aten._to_copy.default
TorchBench/hf_GPT2
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aten._to_copy.default
HuggingFace/GPTNeoForCausalLM
((T([], f16),), {'dtype': f32, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
HuggingFace/DebertaForMaskedLM
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aten._to_copy.default
HuggingFace/DebertaForQuestionAnswering
((T([], f32),), {'dtype': f16, 'device': "torch.device('cpu')"})
aten._to_copy.default
HuggingFace/DebertaV2ForMaskedLM
((T([], f32),), {'dtype': f16, 'device': "torch.device('cpu')"})
aten._to_copy.default
HuggingFace/DebertaV2ForQuestionAnswering
((T([], f32),), {'dtype': f16, 'device': "torch.device('cpu')"})
aten._to_copy.default
HuggingFace/GPTNeoForCausalLM
((T([], f32),), {'dtype': f16})
aten._to_copy.default
TorchBench/speech_transformer
((T([], f32),), {'dtype': f16})
aten._to_copy.default
TorchBench/vision_maskrcnn
((T([], f32),), {'dtype': f16})
aten._to_copy.default
HuggingFace/GPTNeoForCausalLM
((T([], f32),), {'dtype': f32, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
HuggingFace/GPTNeoForSequenceClassification
((T([], f32),), {'dtype': f32, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
TorchBench/timm_efficientdet
((T([], i64),), {'dtype': f32, 'layout': torch.strided, 'device': 'cuda', 'pin_memory': False})
aten._to_copy.default
TorchBench/vision_maskrcnn
((T([], i64),), {'dtype': f32})
aten._unsafe_view.default
TorchBench/timm_efficientdet
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aten._unsafe_view.default
TorchBench/timm_efficientdet
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aten._unsafe_view.default
HuggingFace/BigBird
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aten._unsafe_view.default
HuggingFace/BigBird
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aten._unsafe_view.default
HuggingFace/BigBird
((T([1, 12, 12, 64, 64], f16), [144, 64, 64]), {})
aten._unsafe_view.default
HuggingFace/BigBird
((T([1, 12, 16, 64, 64], f16), [192, 64, 64]), {})
aten._unsafe_view.default
HuggingFace/GPTNeoForCausalLM
((T([1, 128, 16, 128], f16), [1, 128, 2048]), {})
aten._unsafe_view.default
HuggingFace/GPTNeoForSequenceClassification
((T([1, 128, 16, 128], f16), [1, 128, 2048]), {})
aten._unsafe_view.default
TorchBench/timm_efficientdet
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aten._unsafe_view.default
TorchBench/timm_efficientdet
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aten._unsafe_view.default
TorchBench/timm_efficientdet
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aten._unsafe_view.default
TorchBench/timm_efficientdet
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aten._unsafe_view.default
TorchBench/timm_efficientdet
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aten._unsafe_view.default
TorchBench/timm_efficientdet
((T([1, 5, 5, 810], f16), [1, 225, 90]), {})
aten._unsafe_view.default
HuggingFace/CamemBert
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aten._unsafe_view.default
HuggingFace/DistillGPT2
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aten._unsafe_view.default
HuggingFace/DebertaV2ForMaskedLM
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aten._unsafe_view.default
HuggingFace/DebertaV2ForQuestionAnswering
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aten._unsafe_view.default
HuggingFace/YituTechConvBert
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aten._unsafe_view.default
HuggingFace/ElectraForCausalLM
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aten._unsafe_view.default
HuggingFace/YituTechConvBert
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aten._unsafe_view.default
HuggingFace/YituTechConvBert
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aten._unsafe_view.default
TorchBench/timm_efficientdet
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aten._unsafe_view.default
TorchBench/timm_efficientdet
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aten._unsafe_view.default
TorchBench/speech_transformer
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aten._unsafe_view.default
TorchBench/speech_transformer
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aten._unsafe_view.default
TIMM/convnext_base
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aten._unsafe_view.default
TIMM/convnext_base
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aten._unsafe_view.default
HuggingFace/AllenaiLongformerBase
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TIMM/eca_halonext26ts
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aten._unsafe_view.default
TIMM/coat_lite_mini
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aten._unsafe_view.default
TIMM/mobilevit_s
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aten._unsafe_view.default
TIMM/eca_halonext26ts
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aten._unsafe_view.default
TIMM/eca_halonext26ts
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aten._unsafe_view.default
TIMM/eca_halonext26ts
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aten._unsafe_view.default
TIMM/mobilevit_s
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aten._unsafe_view.default
TIMM/eca_halonext26ts
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aten._unsafe_view.default
TIMM/jx_nest_base
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aten._unsafe_view.default
TIMM/jx_nest_base
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aten._unsafe_view.default
TIMM/coat_lite_mini
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aten._unsafe_view.default
TorchBench/hf_Longformer
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TorchBench/hf_Longformer
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TIMM/mobilevit_s
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aten._unsafe_view.default
TIMM/mobilevit_s
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aten._unsafe_view.default
TIMM/coat_lite_mini
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aten._unsafe_view.default
TIMM/eca_halonext26ts
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aten._unsafe_view.default
HuggingFace/XLNetLMHeadModel
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aten._unsafe_view.default
TIMM/eca_halonext26ts
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aten._unsafe_view.default
TIMM/eca_halonext26ts
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aten._unsafe_view.default
TIMM/eca_halonext26ts
((T([1024, 4, 16, 144], f16), [4096, 16, 144]), {})
aten._unsafe_view.default
TIMM/eca_halonext26ts
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