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._unsafe_view.default
HuggingFace/PLBartForConditionalGeneration
((T([8, 128, 12, 64], f16), [8, 128, 768]), {})
aten._unsafe_view.default
HuggingFace/MBartForConditionalGeneration
((T([8, 128, 16, 64], f16), [8, 128, 1024]), {})
aten._unsafe_view.default
HuggingFace/MegatronBertForQuestionAnswering
((T([8, 128, 16, 64], f16), [8, 128, 1024]), {})
aten._unsafe_view.default
HuggingFace/PegasusForCausalLM
((T([8, 128, 16, 64], f16), [8, 128, 1024]), {})
aten._unsafe_view.default
HuggingFace/TrOCRForCausalLM
((T([8, 128, 16, 64], f16), [8, 128, 1024]), {})
aten._unsafe_view.default
HuggingFace/PLBartForConditionalGeneration
((T([8, 128, 768], f16), [1024, 768]), {})
aten._unsafe_view.default
HuggingFace/MBartForConditionalGeneration
((T([8, 16, 128, 64], f16), [128, 128, 64]), {})
aten._unsafe_view.default
HuggingFace/MegatronBertForQuestionAnswering
((T([8, 16, 128, 64], f16), [128, 128, 64]), {})
aten._unsafe_view.default
HuggingFace/PegasusForCausalLM
((T([8, 16, 128, 64], f16), [128, 128, 64]), {})
aten._unsafe_view.default
HuggingFace/TrOCRForCausalLM
((T([8, 16, 128, 64], f16), [128, 128, 64]), {})
aten._unsafe_view.default
HuggingFace/MegatronBertForQuestionAnswering
((T([8, 16, 64, 128], f16), [128, 64, 128]), {})
aten._unsafe_view.default
TorchBench/timm_vision_transformer
((T([8, 197, 3, 6, 64], f16), [8, 197, 1152]), {})
aten._unsafe_view.default
TorchBench/timm_vision_transformer
((T([8, 197, 6, 64], f16), [8, 197, 384]), {})
aten._unsafe_view.default
TorchBench/yolov3
((T([8, 3, 85, 12, 16], f16), [8, 255, 12, 16]), {})
aten._unsafe_view.default
TorchBench/yolov3
((T([8, 3, 85, 24, 32], f16), [8, 255, 24, 32]), {})
aten._unsafe_view.default
TorchBench/yolov3
((T([8, 3, 85, 48, 64], f16), [8, 255, 48, 64]), {})
aten._unsafe_view.default
TorchBench/hf_Albert
((T([8, 512, 12, 64], f16), [8, 512, 768]), {})
aten._unsafe_view.default
TorchBench/hf_DistilBert
((T([8, 512, 12, 64], f16), [8, 512, 768]), {})
aten._unsafe_view.default
TorchBench/hf_Albert
((T([8, 512, 768], f16), [4096, 768]), {})
aten._unsafe_view.default
TorchBench/hf_DistilBert
((T([8, 512, 768], f16), [4096, 768]), {})
aten._unsafe_view.default
TorchBench/timm_vision_transformer
((T([8, 6, 197, 64], f16), [48, 197, 64]), {})
aten._unsafe_view.default
TorchBench/timm_vision_transformer
((T([8, 6, 64, 197], f16), [48, 64, 197]), {})
aten._unsafe_view.default
HuggingFace/Speech2Text2ForCausalLM
((T([8192, 10000], f16), [64, 128, 10000]), {})
aten._unsafe_view.default
TIMM/swin_base_patch4_window7_224
((T([8192, 49, 32], f16), [1024, 8, 49, 32]), {})
aten._unsafe_view.default
TIMM/swin_base_patch4_window7_224
((T([8192, 49, 49], f16), [1024, 8, 49, 49]), {})
aten._unsafe_view.default
HuggingFace/BlenderbotSmallForCausalLM
((T([8192, 50265], f16), [64, 128, 50265]), {})
aten._unsafe_view.default
HuggingFace/BlenderbotSmallForConditionalGeneration
((T([8192, 50265], f16), [64, 128, 50265]), {})
aten._unsafe_view.default
TorchBench/attention_is_all_you_need_pytorch
((T([8448, 512], f16), [256, 33, 512]), {})
aten._unsafe_view.default
TorchBench/hf_Albert
((T([96, 512, 512], f16), [8, 12, 512, 512]), {})
aten._unsafe_view.default
TorchBench/hf_DistilBert
((T([96, 512, 512], f16), [8, 12, 512, 512]), {})
aten._unsafe_view.default
TorchBench/hf_Albert
((T([96, 512, 64], f16), [8, 12, 512, 64]), {})
aten._unsafe_view.default
TorchBench/hf_DistilBert
((T([96, 512, 64], f16), [8, 12, 512, 64]), {})
aten._unsafe_view.default
TIMM/mobilevit_s
((T([98304, 2, 8, 2], f16), [64, 192, 16, 16]), {})
aten._unsafe_view.default
TIMM/mobilevit_s
((T([98304, 8, 2, 2], f16), [64, 192, 64, 4]), {})
aten.abs.default
TorchBench/Super_SloMo
((T([6, 2, 351, 352], f16),), {})
aten.abs.default
TorchBench/Super_SloMo
((T([6, 2, 352, 351], f16),), {})
aten.abs.default
TorchBench/Super_SloMo
((T([6, 3, 352, 352], f16),), {})
aten.add.Scalar
TorchBench/timm_efficientdet
((T([100, 1], i64), 1), {})
aten.add.Tensor
TorchBench/vision_maskrcnn
((T([0, 1024], f16), T([0, 1024], f16)), {})
aten.add.Tensor
TorchBench/vision_maskrcnn
((T([0, 364], f16), T([0, 364], f16)), {})
aten.add.Tensor
TorchBench/vision_maskrcnn
((T([0, 91], f16), T([0, 1], f16)), {})
aten.add.Tensor
TorchBench/vision_maskrcnn
((T([0, 91], f16), T([0, 91], f16)), {})
aten.add.Tensor
TorchBench/vision_maskrcnn
((T([0], f16), T([0], f16)), {})
aten.add.Tensor
TorchBench/vision_maskrcnn
((T([0], f32), 4), {})
aten.add.Tensor
TorchBench/vision_maskrcnn
((T([0], f32), T([], f32)), {})
aten.add.Tensor
TorchBench/vision_maskrcnn
((T([1, 1024, 1, 1], f16), 0.0), {})
aten.add.Tensor
HuggingFace/BigBird
((T([1, 1024, 3072], f16), 1.0), {})
aten.add.Tensor
HuggingFace/BigBird
((T([1, 1024, 3072], f16), T([1, 1024, 3072], f16)), {})
aten.add.Tensor
HuggingFace/BigBird
((T([1, 1024, 768], f16), 1.0), {})
aten.add.Tensor
HuggingFace/AllenaiLongformerBase
((T([1, 1024, 768], f16), T([1, 1024, 768], f16)), {})
aten.add.Tensor
HuggingFace/BigBird
((T([1, 1024, 768], f16), T([1, 1024, 768], f16)), {})
aten.add.Tensor
HuggingFace/AllenaiLongformerBase
((T([1, 1024], i64), 1), {})
aten.add.Tensor
TorchBench/timm_efficientdet
((T([1, 112, 40, 40], f16), T([1, 112, 40, 40], f16)), {})
aten.add.Tensor
TorchBench/timm_efficientdet
((T([1, 1152, 20, 20], f16), T([1, 1152, 20, 20], f16)), {})
aten.add.Tensor
HuggingFace/BigBird
((T([1, 12, 1024, 64], f16), T([1, 12, 1024, 64], f16)), {})
aten.add.Tensor
HuggingFace/BigBird
((T([1, 12, 1024, 64], f16, stride=(786432, 65536, 1, 1024)), T([1, 12, 1024, 64], f16)), {})
aten.add.Tensor
HuggingFace/BigBird
((T([1, 12, 1024, 64], f16, stride=(786432, 65536, 1, 1024)), T([1, 12, 1024, 64], f16, stride=(786432, 65536, 1, 1024))), {})
aten.add.Tensor
HuggingFace/BigBird
((T([1, 12, 12, 64, 512], f16), T([1, 12, 12, 64, 512], f16)), {})
aten.add.Tensor
HuggingFace/BigBird
((T([1, 12, 12, 64, 64], f16), T([1, 12, 12, 64, 64], f16)), {})
aten.add.Tensor
HuggingFace/BigBird
((T([1, 12, 14, 192, 64], f16), T([1, 12, 14, 192, 64], f16)), {})
aten.add.Tensor
HuggingFace/BigBird
((T([1, 12, 16, 64, 64], f16), T([1, 12, 16, 64, 64], f16)), {})
aten.add.Tensor
HuggingFace/CamemBert
((T([1, 12, 512, 512], f16), T([1, 1, 1, 512], f16)), {})
aten.add.Tensor
TorchBench/vision_maskrcnn
((T([1, 128, 1, 1], f16), 0.0), {})
aten.add.Tensor
HuggingFace/GPTNeoForCausalLM
((T([1, 128, 2048], f16), T([1, 128, 2048], f16)), {})
aten.add.Tensor
HuggingFace/GPTNeoForSequenceClassification
((T([1, 128, 2048], f16), T([1, 128, 2048], f16)), {})
aten.add.Tensor
TorchBench/pytorch_unet
((T([1, 128, 320, 479], f16), T([1, 128, 320, 479], f16)), {})
aten.add.Tensor
HuggingFace/GPTNeoForCausalLM
((T([1, 128, 8192], f16), 1.0), {})
aten.add.Tensor
HuggingFace/GPTNeoForSequenceClassification
((T([1, 128, 8192], f16), 1.0), {})
aten.add.Tensor
HuggingFace/GPTNeoForCausalLM
((T([1, 128, 8192], f16), T([1, 128, 8192], f16)), {})
aten.add.Tensor
HuggingFace/GPTNeoForSequenceClassification
((T([1, 128, 8192], f16), T([1, 128, 8192], f16)), {})
aten.add.Tensor
TorchBench/timm_efficientdet
((T([1, 144, 160, 160], f16), T([1, 144, 160, 160], f16)), {})
aten.add.Tensor
TorchBench/timm_efficientdet
((T([1, 144, 80, 80], f16), T([1, 144, 80, 80], f16)), {})
aten.add.Tensor
TorchBench/timm_efficientdet
((T([1, 16, 320, 320], f16), T([1, 16, 320, 320], f16)), {})
aten.add.Tensor
TorchBench/timm_efficientdet
((T([1, 192, 20, 20], f16), T([1, 192, 20, 20], f16)), {})
aten.add.Tensor
TorchBench/timm_efficientdet
((T([1, 1920, 20, 20], f16), T([1, 1920, 20, 20], f16)), {})
aten.add.Tensor
TorchBench/vision_maskrcnn
((T([1, 2048, 1, 1], f16), 0.0), {})
aten.add.Tensor
TorchBench/timm_efficientdet
((T([1, 24, 160, 160], f16), T([1, 24, 160, 160], f16)), {})
aten.add.Tensor
TorchBench/timm_efficientdet
((T([1, 240, 40, 40], f16), T([1, 240, 40, 40], f16)), {})
aten.add.Tensor
TorchBench/timm_efficientdet
((T([1, 240, 80, 80], f16), T([1, 240, 80, 80], f16)), {})
aten.add.Tensor
TorchBench/vision_maskrcnn
((T([1, 256, 1, 1], f16), 0.0), {})
aten.add.Tensor
TorchBench/pytorch_unet
((T([1, 256, 160, 239], f16), T([1, 256, 160, 239], f16)), {})
aten.add.Tensor
TorchBench/pytorch_CycleGAN_and_pix2pix
((T([1, 256, 64, 64], f16), T([1, 256, 64, 64], f16)), {})
aten.add.Tensor
TorchBench/timm_efficientdet
((T([1, 32, 320, 320], f16), T([1, 32, 320, 320], f16)), {})
aten.add.Tensor
TorchBench/timm_efficientdet
((T([1, 320, 20, 20], f16), T([1, 320, 20, 20], f16)), {})
aten.add.Tensor
HuggingFace/ElectraForCausalLM
((T([1, 4, 512, 512], f16), T([1, 1, 1, 512], f16)), {})
aten.add.Tensor
TorchBench/timm_efficientdet
((T([1, 40, 80, 80], f16), T([1, 40, 80, 80], f16)), {})
aten.add.Tensor
TorchBench/timm_efficientdet
((T([1, 480, 40, 40], f16), T([1, 480, 40, 40], f16)), {})
aten.add.Tensor
TorchBench/vision_maskrcnn
((T([1, 512, 1, 1], f16), 0.0), {})
aten.add.Tensor
HuggingFace/ElectraForCausalLM
((T([1, 512, 128], f16), T([1, 512, 128], f16)), {})
aten.add.Tensor
HuggingFace/DebertaV2ForMaskedLM
((T([1, 512, 1536], f16), T([1, 512, 1536], f16)), {})
aten.add.Tensor
HuggingFace/DebertaV2ForQuestionAnswering
((T([1, 512, 1536], f16), T([1, 512, 1536], f16)), {})
aten.add.Tensor
HuggingFace/ElectraForCausalLM
((T([1, 512, 256], f16), T([1, 512, 256], f16)), {})
aten.add.Tensor
HuggingFace/DistillGPT2
((T([1, 512, 3072], f16), 1.0), {})
aten.add.Tensor
HuggingFace/GoogleFnet
((T([1, 512, 3072], f16), 1.0), {})
aten.add.Tensor
HuggingFace/DistillGPT2
((T([1, 512, 3072], f16), T([1, 512, 3072], f16)), {})
aten.add.Tensor
HuggingFace/GoogleFnet
((T([1, 512, 3072], f16), T([1, 512, 3072], f16)), {})
aten.add.Tensor
HuggingFace/YituTechConvBert
((T([1, 512, 384], f16), T([1, 512, 384], f16)), {})
aten.add.Tensor
HuggingFace/YituTechConvBert
((T([1, 512, 54], f16), T([54], f16)), {})
aten.add.Tensor
HuggingFace/GoogleFnet
((T([1, 512, 768], f16), 1.0), {})
aten.add.Tensor
HuggingFace/CamemBert
((T([1, 512, 768], f16), T([1, 512, 768], f16)), {})