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.sum.SymInt
TIMM/convnext_base
((T([32, 28, 28, 256], f16), [0, 1, 2], True), {})
aten.sum.SymInt
TorchBench/timm_efficientnet
((T([32, 32, 112, 112], f16), [2, 3], True), {})
aten.sum.SymInt
TorchBench/timm_regnet
((T([32, 448, 28, 28], f16), [2, 3], True), {})
aten.sum.SymInt
TorchBench/mobilenet_v3_large
((T([32, 480, 14, 14], f16), [2, 3], True), {})
aten.sum.SymInt
TorchBench/timm_efficientnet
((T([32, 480, 14, 14], f16), [2, 3], True), {})
aten.sum.SymInt
TIMM/convnext_base
((T([32, 512, 14, 14], f16, stride=(100352, 1, 7168, 512)), [0, 2, 3], True), {})
aten.sum.SymInt
TIMM/convnext_base
((T([32, 512, 14, 14], f16, stride=(100352, 1, 7168, 512)), [1], True), {})
aten.sum.SymInt
TIMM/gluon_senet154
((T([32, 512, 28, 28], f16), [2, 3], True), {})
aten.sum.SymInt
TIMM/legacy_senet154
((T([32, 512, 28, 28], f16), [2, 3], True), {})
aten.sum.SymInt
TIMM/convnext_base
((T([32, 56, 56, 128], f16), [0, 1, 2], True), {})
aten.sum.SymInt
TIMM/convnext_base
((T([32, 56, 56, 512], f16), [0, 1, 2], True), {})
aten.sum.SymInt
TorchBench/mobilenet_v3_large
((T([32, 672, 14, 14], f16), [2, 3], True), {})
aten.sum.SymInt
TorchBench/timm_efficientnet
((T([32, 672, 14, 14], f16), [2, 3], True), {})
aten.sum.SymInt
TorchBench/mobilenet_v3_large
((T([32, 672, 7, 7], f16), [2, 3], True), {})
aten.sum.SymInt
TorchBench/timm_efficientnet
((T([32, 672, 7, 7], f16), [2, 3], True), {})
aten.sum.SymInt
TIMM/convnext_base
((T([32, 7, 7, 1024], f16, stride=(50176, 7, 1, 49)), [0, 1, 2], True), {})
aten.sum.SymInt
TIMM/convnext_base
((T([32, 7, 7, 4096], f16), [0, 1, 2], True), {})
aten.sum.SymInt
TorchBench/mobilenet_v3_large
((T([32, 72, 28, 28], f16), [2, 3], True), {})
aten.sum.SymInt
TorchBench/timm_regnet
((T([32, 896, 14, 14], f16), [2, 3], True), {})
aten.sum.SymInt
TorchBench/timm_efficientnet
((T([32, 96, 56, 56], f16), [2, 3], True), {})
aten.sum.SymInt
TorchBench/mobilenet_v3_large
((T([32, 960, 7, 7], f16), [2, 3], True), {})
aten.sum.SymInt
HuggingFace/ElectraForQuestionAnswering
((T([32768, 1024], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/ElectraForQuestionAnswering
((T([32768, 256], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/ElectraForQuestionAnswering
((T([32768, 2], f16), [0], True), {})
aten.sum.SymInt
TorchBench/densenet121
((T([4, 1000], f16, stride=(0, 0)), [0], True), {})
aten.sum.SymInt
HuggingFace/GPT2ForSequenceClassification
((T([4, 1024, 768], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/DebertaForMaskedLM
((T([4, 12, 512, 64], f16), [0, 2], True), {})
aten.sum.SymInt
HuggingFace/DebertaForQuestionAnswering
((T([4, 12, 512, 64], f16), [0, 2], True), {})
aten.sum.SymInt
HuggingFace/DebertaForMaskedLM
((T([4, 512, 768], f16), [0, 1], True), {})
aten.sum.SymInt
HuggingFace/DebertaForQuestionAnswering
((T([4, 512, 768], f16), [0, 1], True), {})
aten.sum.SymInt
HuggingFace/DebertaForMaskedLM
((T([4, 512, 768], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/DebertaForQuestionAnswering
((T([4, 512, 768], f16), [0], True), {})
aten.sum.SymInt
TorchBench/hf_Bert
((T([4, 512, 768], f16), [0], True), {})
aten.sum.SymInt
TorchBench/hf_GPT2
((T([4, 512, 768], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/DebertaForMaskedLM
((T([4, 512, 768], f32), [2], True), {})
aten.sum.SymInt
HuggingFace/DebertaForQuestionAnswering
((T([4, 512, 768], f32), [2], True), {})
aten.sum.SymInt
TorchBench/pytorch_struct
((T([40, 29, 30, 4771], f16), [0, 1], True), {})
aten.sum.SymInt
TorchBench/pytorch_struct
((T([40, 30, 60, 60], f16, stride=(0, 0, 0, 0)), [0], True), {})
aten.sum.SymInt
TorchBench/pytorch_struct
((T([40, 30], f16, stride=(0, 0)), [0], True), {})
aten.sum.SymInt
TIMM/coat_lite_mini
((T([401536, 192], f16), [0], True), {})
aten.sum.SymInt
TIMM/coat_lite_mini
((T([401536, 512], f16), [0], True), {})
aten.sum.SymInt
TIMM/coat_lite_mini
((T([401536, 64], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/BartForCausalLM
((T([4096, 1024], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/MobileBertForQuestionAnswering
((T([4096, 128], f16), [0], True), {})
aten.sum.SymInt
TorchBench/hf_Albert
((T([4096, 128], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/GPT2ForSequenceClassification
((T([4096, 2304], f16), [0], True), {})
aten.sum.SymInt
TIMM/mobilevit_s
((T([4096, 240], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/DistilBertForQuestionAnswering
((T([4096, 2], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/MobileBertForQuestionAnswering
((T([4096, 2], f16), [0], True), {})
aten.sum.SymInt
TorchBench/hf_Albert
((T([4096, 30000], f16, stride=(0, 0)), [0], True), {})
aten.sum.SymInt
TorchBench/hf_DistilBert
((T([4096, 30522], f16, stride=(0, 0)), [0], True), {})
aten.sum.SymInt
HuggingFace/DistilBertForQuestionAnswering
((T([4096, 3072], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/GPT2ForSequenceClassification
((T([4096, 3072], f16), [0], True), {})
aten.sum.SymInt
TorchBench/hf_Albert
((T([4096, 3072], f16), [0], True), {})
aten.sum.SymInt
TorchBench/hf_DistilBert
((T([4096, 3072], f16), [0], True), {})
aten.sum.SymInt
TIMM/eca_halonext26ts
((T([4096, 4, 12, 4, 12], f16, stride=(2304, 144, 1, 576, 12)), [2], True), {})
aten.sum.SymInt
TIMM/eca_halonext26ts
((T([4096, 4, 12, 4, 12], f16, stride=(2304, 576, 12, 144, 1)), [2], True), {})
aten.sum.SymInt
TIMM/swin_base_patch4_window7_224
((T([4096, 4, 49, 49], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/BartForCausalLM
((T([4096, 4096], f16), [0], True), {})
aten.sum.SymInt
TIMM/mobilevit_s
((T([4096, 480], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/MobileBertForQuestionAnswering
((T([4096, 512], f16), [0], True), {})
aten.sum.SymInt
TIMM/mobilevit_s
((T([4096, 720], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/DistilBertForQuestionAnswering
((T([4096, 768], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/GPT2ForSequenceClassification
((T([4096, 768], f16), [0], True), {})
aten.sum.SymInt
TorchBench/hf_Albert
((T([4096, 768], f16), [0], True), {})
aten.sum.SymInt
TorchBench/hf_DistilBert
((T([4096, 768], f16), [0], True), {})
aten.sum.SymInt
TIMM/eca_halonext26ts
((T([4096, 8, 12, 8, 12], f16, stride=(9216, 1152, 12, 144, 1)), [2], True), {})
aten.sum.SymInt
TIMM/eca_halonext26ts
((T([4096, 8, 12, 8, 12], f16, stride=(9216, 144, 1, 1152, 12)), [2], True), {})
aten.sum.SymInt
TIMM/pit_b_224
((T([4160, 1024], f16), [0], True), {})
aten.sum.SymInt
TIMM/pit_b_224
((T([4160, 3072], f16), [0], True), {})
aten.sum.SymInt
TIMM/pit_b_224
((T([4160, 4096], f16), [0], True), {})
aten.sum.SymInt
TIMM/mixer_b16_224
((T([49152, 196], f16), [0], True), {})
aten.sum.SymInt
TIMM/resmlp_12_224
((T([49152, 196], f16), [0], True), {})
aten.sum.SymInt
TorchBench/maml_omniglot
((T([5, 5], f16, stride=(0, 0)), [0], True), {})
aten.sum.SymInt
TIMM/swin_base_patch4_window7_224
((T([50176, 1024], f16), [0], True), {})
aten.sum.SymInt
TIMM/swin_base_patch4_window7_224
((T([50176, 256], f16), [0], True), {})
aten.sum.SymInt
TIMM/swin_base_patch4_window7_224
((T([50176, 768], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/ElectraForCausalLM
((T([512, 1024], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/PegasusForConditionalGeneration
((T([512, 1024], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/DebertaV2ForMaskedLM
((T([512, 128100], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/ElectraForCausalLM
((T([512, 128], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/DebertaV2ForMaskedLM
((T([512, 1536], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/DebertaV2ForQuestionAnswering
((T([512, 1536], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/DebertaV2ForMaskedLM
((T([512, 1536], f16, stride=(1, 512)), [0], True), {})
aten.sum.SymInt
HuggingFace/DebertaV2ForQuestionAnswering
((T([512, 1536], f16, stride=(1, 512)), [0], True), {})
aten.sum.SymInt
TIMM/botnet26t_256
((T([512, 16, 16, 16, 16], f16, stride=(65536, 256, 1, 4096, 16)), [2], True), {})
aten.sum.SymInt
TIMM/eca_botnext26ts_256
((T([512, 16, 16, 16, 16], f16, stride=(65536, 256, 1, 4096, 16)), [2], True), {})
aten.sum.SymInt
TIMM/botnet26t_256
((T([512, 16, 16, 16, 16], f16, stride=(65536, 4096, 16, 256, 1)), [2], True), {})
aten.sum.SymInt
TIMM/eca_botnext26ts_256
((T([512, 16, 16, 16, 16], f16, stride=(65536, 4096, 16, 256, 1)), [2], True), {})
aten.sum.SymInt
HuggingFace/DistillGPT2
((T([512, 2304], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/ElectraForCausalLM
((T([512, 256], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/ElectraForCausalLM
((T([512, 256], f16, stride=(1, 512)), [0], True), {})
aten.sum.SymInt
HuggingFace/DebertaV2ForQuestionAnswering
((T([512, 2], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/ElectraForCausalLM
((T([512, 30522], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/RobertaForCausalLM
((T([512, 30522], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/YituTechConvBert
((T([512, 30522], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/CamemBert
((T([512, 3072], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/DistillGPT2
((T([512, 3072], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/GoogleFnet
((T([512, 3072], f16), [0], True), {})
aten.sum.SymInt
HuggingFace/OPTForCausalLM
((T([512, 3072], f16), [0], True), {})