Datasets:
GPUMODE
/
backendbench_tests

Dataset card Data Studio Files
xet
Community
6
operator name
stringclasses
180 values
used in model
stringclasses
155 values
args
stringlengths
19
5.24k
aten._to_copy.default
HuggingFace/GPTNeoForCausalLM
((T([1, 16, 128, 128], f16),), {'dtype': f32, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
HuggingFace/GPTNeoForSequenceClassification
((T([1, 16, 128, 128], f16),), {'dtype': f32, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
HuggingFace/GPTNeoForCausalLM
((T([1, 16, 128, 128], f16, stride=(262144, 128, 2048, 1)),), {'dtype': f32})
aten._to_copy.default
HuggingFace/GPTNeoForSequenceClassification
((T([1, 16, 128, 128], f16, stride=(262144, 128, 2048, 1)),), {'dtype': f32})
aten._to_copy.default
HuggingFace/GPTNeoForCausalLM
((T([1, 16, 128, 128], f32),), {'dtype': f16, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
HuggingFace/GPTNeoForSequenceClassification
((T([1, 16, 128, 128], f32),), {'dtype': f16, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
HuggingFace/GPTNeoForCausalLM
((T([1, 16, 128, 128], f32),), {'dtype': f16})
aten._to_copy.default
HuggingFace/GPTNeoForSequenceClassification
((T([1, 16, 128, 128], f32),), {'dtype': f16})
aten._to_copy.default
HuggingFace/GPTNeoForCausalLM
((T([1, 16, 128, 128], f32, stride=(262144, 16384, 1, 128)),), {'dtype': f16, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
HuggingFace/GPTNeoForSequenceClassification
((T([1, 16, 128, 128], f32, stride=(262144, 16384, 1, 128)),), {'dtype': f16, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
TorchBench/yolov3
((T([1, 3, 1, 1, 2], f32),), {'dtype': f32, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
TorchBench/attention_is_all_you_need_pytorch
((T([1, 31, 31], f32),), {'dtype': torch.bool})
aten._to_copy.default
HuggingFace/DebertaV2ForMaskedLM
((T([1, 512, 1], f32),), {'dtype': f16})
aten._to_copy.default
HuggingFace/DebertaV2ForQuestionAnswering
((T([1, 512, 1], f32),), {'dtype': f16})
aten._to_copy.default
HuggingFace/GoogleFnet
((T([1, 512, 768], f16),), {'dtype': c32})
aten._to_copy.default
HuggingFace/CamemBert
((T([1, 512], b8),), {'dtype': i32})
aten._to_copy.default
HuggingFace/CamemBert
((T([1, 512], i32),), {'dtype': i64})
aten._to_copy.default
HuggingFace/CamemBert
((T([1, 512], i64),), {'dtype': i32, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
TorchBench/speech_transformer
((T([10, 22, 512], f32),), {'dtype': f16})
aten._to_copy.default
TorchBench/speech_transformer
((T([10, 22], b8),), {'dtype': f32})
aten._to_copy.default
TorchBench/timm_efficientdet
((T([100, 1], i64),), {'dtype': f32})
aten._to_copy.default
HuggingFace/BartForCausalLM
((T([1024, 1024], f32),), {'dtype': f16})
aten._to_copy.default
HuggingFace/BartForConditionalGeneration
((T([1024, 1024], f32),), {'dtype': f16})
aten._to_copy.default
HuggingFace/XLNetLMHeadModel
((T([1024, 4, 1024], f32),), {'dtype': f16, 'device': 'cuda'})
aten._to_copy.default
HuggingFace/XLNetLMHeadModel
((T([1024, 4, 1024], f32, stride=(1024, 0, 1)),), {'dtype': f32, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
HuggingFace/BigBird
((T([12, 14, 3], i32),), {'dtype': i64, 'device': 'cuda'})
aten._to_copy.default
TorchBench/hf_BigBird
((T([12, 14, 3], i32),), {'dtype': i64, 'device': 'cuda'})
aten._to_copy.default
HuggingFace/BlenderbotSmallForCausalLM
((T([128, 128], f32),), {'dtype': f16})
aten._to_copy.default
HuggingFace/BlenderbotSmallForConditionalGeneration
((T([128, 128], f32),), {'dtype': f16})
aten._to_copy.default
HuggingFace/M2M100ForConditionalGeneration
((T([128, 128], f32),), {'dtype': f16})
aten._to_copy.default
HuggingFace/MBartForCausalLM
((T([128, 128], f32),), {'dtype': f16})
aten._to_copy.default
HuggingFace/MBartForConditionalGeneration
((T([128, 128], f32),), {'dtype': f16})
aten._to_copy.default
HuggingFace/OPTForCausalLM
((T([128, 128], f32),), {'dtype': f16})
aten._to_copy.default
HuggingFace/PLBartForCausalLM
((T([128, 128], f32),), {'dtype': f16})
aten._to_copy.default
HuggingFace/PLBartForConditionalGeneration
((T([128, 128], f32),), {'dtype': f16})
aten._to_copy.default
HuggingFace/PegasusForCausalLM
((T([128, 128], f32),), {'dtype': f16})
aten._to_copy.default
HuggingFace/PegasusForConditionalGeneration
((T([128, 128], f32),), {'dtype': f16})
aten._to_copy.default
HuggingFace/Speech2Text2ForCausalLM
((T([128, 128], f32),), {'dtype': f16})
aten._to_copy.default
HuggingFace/TrOCRForCausalLM
((T([128, 128], f32),), {'dtype': f16})
aten._to_copy.default
HuggingFace/XGLMForCausalLM
((T([128, 128], f32),), {'dtype': f16})
aten._to_copy.default
HuggingFace/MobileBertForMaskedLM
((T([16, 1, 1, 128], f32),), {'dtype': f16})
aten._to_copy.default
HuggingFace/LayoutLMForMaskedLM
((T([16, 1, 1, 512], f32),), {'dtype': f16})
aten._to_copy.default
HuggingFace/LayoutLMForSequenceClassification
((T([16, 1, 1, 512], f32),), {'dtype': f16})
aten._to_copy.default
HuggingFace/MBartForCausalLM
((T([16, 1, 128, 128], f16, stride=(0, 16384, 128, 1)),), {'dtype': f16, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
HuggingFace/PLBartForCausalLM
((T([16, 1, 128, 128], f16, stride=(0, 16384, 128, 1)),), {'dtype': f16, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
TorchBench/hf_BigBird
((T([2, 1, 1, 1024], f32),), {'dtype': f16})
aten._to_copy.default
TorchBench/hf_Longformer
((T([2, 1, 1, 1024], f32),), {'dtype': f16})
aten._to_copy.default
HuggingFace/MegatronBertForCausalLM
((T([2, 1, 1, 128], f32),), {'dtype': f16})
aten._to_copy.default
HuggingFace/AlbertForMaskedLM
((T([2, 1, 1, 512], f32),), {'dtype': f16})
aten._to_copy.default
HuggingFace/AlbertForQuestionAnswering
((T([2, 1, 1, 512], f32),), {'dtype': f16})
aten._to_copy.default
HuggingFace/BartForConditionalGeneration
((T([2, 1, 1024, 1024], f16, stride=(0, 1048576, 1024, 1)),), {'dtype': f16, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
TorchBench/hf_BigBird
((T([2, 1, 1024, 1], f32),), {'dtype': f16})
aten._to_copy.default
TorchBench/hf_BigBird
((T([2, 1, 12, 64, 192], f32),), {'dtype': f16})
aten._to_copy.default
HuggingFace/M2M100ForConditionalGeneration
((T([2, 1, 128, 128], f16, stride=(0, 16384, 128, 1)),), {'dtype': f16, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
HuggingFace/XGLMForCausalLM
((T([2, 1, 128, 128], f16, stride=(0, 16384, 128, 1)),), {'dtype': f16, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
TorchBench/hf_Longformer
((T([2, 1024, 1, 1], b8),), {'dtype': f16, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
TorchBench/hf_Longformer
((T([2, 1024, 12, 513], f16, stride=(6303744, 513, 525312, 1)),), {'dtype': f32, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
TorchBench/hf_Longformer
((T([2, 1024, 12, 513], f32),), {'dtype': f16, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
TorchBench/hf_Longformer
((T([2, 1024], b8),), {'dtype': i32})
aten._to_copy.default
TorchBench/hf_Longformer
((T([2, 1024], i32),), {'dtype': i64})
aten._to_copy.default
TorchBench/hf_Longformer
((T([2, 1024], i64),), {'dtype': i32, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
HuggingFace/M2M100ForConditionalGeneration
((T([2, 128], b8),), {'dtype': i32})
aten._to_copy.default
HuggingFace/XGLMForCausalLM
((T([2, 128], b8),), {'dtype': i32})
aten._to_copy.default
HuggingFace/M2M100ForConditionalGeneration
((T([2, 128], i32),), {'dtype': i64})
aten._to_copy.default
HuggingFace/XGLMForCausalLM
((T([2, 128], i32),), {'dtype': i64})
aten._to_copy.default
HuggingFace/M2M100ForConditionalGeneration
((T([2, 128], i64),), {'dtype': i32, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
HuggingFace/XGLMForCausalLM
((T([2, 128], i64),), {'dtype': i32, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
TorchBench/yolov3
((T([3, 2], f32),), {'dtype': f32, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
TorchBench/vision_maskrcnn
((T([3, 4], f32),), {'dtype': f16, 'device': 'cuda'})
aten._to_copy.default
HuggingFace/MobileBertForQuestionAnswering
((T([32, 1, 1, 128], f32),), {'dtype': f16})
aten._to_copy.default
HuggingFace/RobertaForCausalLM
((T([4, 1, 1, 128], f32),), {'dtype': f16})
aten._to_copy.default
TorchBench/hf_Bert
((T([4, 1, 1, 512], f32),), {'dtype': f16})
aten._to_copy.default
HuggingFace/BartForCausalLM
((T([4, 1, 1024, 1024], f16, stride=(0, 1048576, 1024, 1)),), {'dtype': f16, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
HuggingFace/OPTForCausalLM
((T([4, 1, 128, 128], b8, stride=(128, 128, 0, 1)),), {'dtype': f16})
aten._to_copy.default
HuggingFace/OPTForCausalLM
((T([4, 1, 128, 128], f16),), {'dtype': torch.bool})
aten._to_copy.default
HuggingFace/OPTForCausalLM
((T([4, 1, 128, 128], f16, stride=(0, 16384, 128, 1)),), {'dtype': f16, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
HuggingFace/PegasusForConditionalGeneration
((T([4, 1, 128, 128], f16, stride=(0, 16384, 128, 1)),), {'dtype': f16, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
TorchBench/hf_Bart
((T([4, 1, 512, 512], f16, stride=(0, 262144, 512, 1)),), {'dtype': f16, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
HuggingFace/DebertaForMaskedLM
((T([4, 1, 512, 512], f32),), {'dtype': torch.uint8})
aten._to_copy.default
HuggingFace/DebertaForQuestionAnswering
((T([4, 1, 512, 512], f32),), {'dtype': torch.uint8})
aten._to_copy.default
HuggingFace/DebertaForMaskedLM
((T([4, 1, 512, 512], u8),), {'dtype': torch.bool})
aten._to_copy.default
HuggingFace/DebertaForQuestionAnswering
((T([4, 1, 512, 512], u8),), {'dtype': torch.bool})
aten._to_copy.default
HuggingFace/RobertaForCausalLM
((T([4, 128], b8),), {'dtype': i32})
aten._to_copy.default
HuggingFace/OPTForCausalLM
((T([4, 128], b8),), {'dtype': i64})
aten._to_copy.default
HuggingFace/RobertaForCausalLM
((T([4, 128], i32),), {'dtype': i64})
aten._to_copy.default
HuggingFace/RobertaForCausalLM
((T([4, 128], i64),), {'dtype': i32, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
HuggingFace/DebertaForMaskedLM
((T([4, 512, 1], f32),), {'dtype': f16})
aten._to_copy.default
HuggingFace/DebertaForQuestionAnswering
((T([4, 512, 1], f32),), {'dtype': f16})
aten._to_copy.default
HuggingFace/DebertaForMaskedLM
((T([4, 512, 768], f16),), {'dtype': f32, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
HuggingFace/DebertaForQuestionAnswering
((T([4, 512, 768], f16),), {'dtype': f32, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
HuggingFace/DebertaForMaskedLM
((T([4, 512, 768], f16),), {'dtype': f32})
aten._to_copy.default
HuggingFace/DebertaForQuestionAnswering
((T([4, 512, 768], f16),), {'dtype': f32})
aten._to_copy.default
HuggingFace/DebertaForMaskedLM
((T([4, 512, 768], f32),), {'dtype': f16, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
HuggingFace/DebertaForQuestionAnswering
((T([4, 512, 768], f32),), {'dtype': f16, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
HuggingFace/DebertaForMaskedLM
((T([4, 512, 768], f32),), {'dtype': f16})
aten._to_copy.default
HuggingFace/DebertaForQuestionAnswering
((T([4, 512, 768], f32),), {'dtype': f16})
aten._to_copy.default
HuggingFace/OPTForCausalLM
((T([48, 128, 128], f16),), {'dtype': f32, 'layout': torch.strided, 'device': 'cuda'})
aten._to_copy.default
HuggingFace/OPTForCausalLM
((T([48, 128, 128], f32),), {'dtype': f16})
aten._to_copy.default
TorchBench/timm_efficientdet
((T([5000, 4], f16),), {'dtype': f32})
aten._to_copy.default
TorchBench/timm_efficientdet
((T([5000, 4], f32),), {'dtype': f16, 'layout': torch.strided, 'device': 'cuda'})