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.add.Tensor
TIMM/nasnetalarge
((T([16, 1008, 42, 42], f16), T([16, 1008, 42, 42], f16)), {})
aten.add.Tensor
TIMM/pnasnet5large
((T([16, 108, 42, 42], f16), T([16, 108, 42, 42], f16)), {})
aten.add.Tensor
TIMM/pnasnet5large
((T([16, 108, 42, 42], f16, stride=(952560, 1764, 42, 1)), T([16, 108, 42, 42], f16)), {})
aten.add.Tensor
TIMM/pnasnet5large
((T([16, 108, 83, 83], f16), T([16, 108, 83, 83], f16)), {})
aten.add.Tensor
TIMM/pnasnet5large
((T([16, 1080, 42, 42], f16), T([16, 1080, 42, 42], f16)), {})
aten.add.Tensor
HuggingFace/PLBartForCausalLM
((T([16, 12, 128, 128], f16), T([16, 1, 128, 128], f16)), {})
aten.add.Tensor
HuggingFace/LayoutLMForMaskedLM
((T([16, 12, 512, 512], f16), T([16, 1, 1, 512], f16)), {})
aten.add.Tensor
HuggingFace/LayoutLMForSequenceClassification
((T([16, 12, 512, 512], f16), T([16, 1, 1, 512], f16)), {})
aten.add.Tensor
HuggingFace/MBartForCausalLM
((T([16, 128, 1024], f16), T([16, 128, 1024], f16)), {})
aten.add.Tensor
HuggingFace/MobileBertForMaskedLM
((T([16, 128, 128], f16), T([128], f16)), {})
aten.add.Tensor
HuggingFace/MobileBertForMaskedLM
((T([16, 128, 128], f16), T([16, 128, 128], f16)), {})
aten.add.Tensor
HuggingFace/MobileBertForMaskedLM
((T([16, 128, 128], f16, stride=(49152, 384, 1)), T([16, 128, 128], f16)), {})
aten.add.Tensor
TorchBench/BERT_pytorch
((T([16, 128, 1], f16), 1e-06), {})
aten.add.Tensor
TorchBench/resnet18
((T([16, 128, 28, 28], f16), T([16, 128, 28, 28], f16)), {})
aten.add.Tensor
HuggingFace/MobileBertForMaskedLM
((T([16, 128, 512], f16), T([1, 128, 512], f16)), {})
aten.add.Tensor
HuggingFace/MobileBertForMaskedLM
((T([16, 128, 512], f16), T([16, 128, 512], f16)), {})
aten.add.Tensor
HuggingFace/MobileBertForMaskedLM
((T([16, 128, 512], f16), T([512], f16)), {})
aten.add.Tensor
HuggingFace/DistilBertForMaskedLM
((T([16, 128, 768], f16), T([1, 128, 768], f16)), {})
aten.add.Tensor
TorchBench/BERT_pytorch
((T([16, 128, 768], f16), T([1, 128, 768], f16)), {})
aten.add.Tensor
HuggingFace/DistilBertForMaskedLM
((T([16, 128, 768], f16), T([16, 128, 768], f16)), {})
aten.add.Tensor
HuggingFace/PLBartForCausalLM
((T([16, 128, 768], f16), T([16, 128, 768], f16)), {})
aten.add.Tensor
TorchBench/BERT_pytorch
((T([16, 128, 768], f16), T([16, 128, 768], f16)), {})
aten.add.Tensor
TorchBench/BERT_pytorch
((T([16, 128, 768], f16), T([768], f16)), {})
aten.add.Tensor
TorchBench/BERT_pytorch
((T([16, 128, 768], f16, stride=(0, 0, 0)), T([16, 128, 768], f16)), {})
aten.add.Tensor
HuggingFace/MBartForCausalLM
((T([16, 128], i64, stride=(0, 1)), 2), {})
aten.add.Tensor
HuggingFace/PLBartForCausalLM
((T([16, 128], i64, stride=(0, 1)), 2), {})
aten.add.Tensor
TIMM/nasnetalarge
((T([16, 1344, 21, 21], f16), T([16, 1344, 21, 21], f16)), {})
aten.add.Tensor
HuggingFace/MBartForCausalLM
((T([16, 16, 128, 128], f16), T([16, 1, 128, 128], f16)), {})
aten.add.Tensor
TIMM/nasnetalarge
((T([16, 168, 42, 42], f16), T([16, 168, 42, 42], f16)), {})
aten.add.Tensor
TIMM/nasnetalarge
((T([16, 168, 42, 42], f16), T([16, 168, 42, 42], f16, stride=(1778112, 1764, 42, 1))), {})
aten.add.Tensor
TIMM/nasnetalarge
((T([16, 168, 42, 42], f16, stride=(1778112, 1764, 42, 1)), T([16, 168, 42, 42], f16)), {})
aten.add.Tensor
TIMM/nasnetalarge
((T([16, 168, 83, 83], f16), T([16, 168, 83, 83], f16)), {})
aten.add.Tensor
TIMM/nasnetalarge
((T([16, 2016, 21, 21], f16), T([16, 2016, 21, 21], f16)), {})
aten.add.Tensor
TIMM/pnasnet5large
((T([16, 216, 42, 42], f16), T([16, 216, 42, 42], f16)), {})
aten.add.Tensor
TIMM/pnasnet5large
((T([16, 216, 42, 42], f16, stride=(1905120, 1764, 42, 1)), T([16, 216, 42, 42], f16)), {})
aten.add.Tensor
TIMM/pnasnet5large
((T([16, 2160, 21, 21], f16), T([16, 2160, 21, 21], f16)), {})
aten.add.Tensor
TorchBench/resnet18
((T([16, 256, 14, 14], f16), T([16, 256, 14, 14], f16)), {})
aten.add.Tensor
TorchBench/pytorch_stargan
((T([16, 256, 32, 32], f16), T([16, 256, 32, 32], f16)), {})
aten.add.Tensor
TIMM/nasnetalarge
((T([16, 2688, 11, 11], f16), T([16, 2688, 11, 11], f16)), {})
aten.add.Tensor
TIMM/pnasnet5large
((T([16, 270, 83, 83], f16), T([16, 270, 83, 83], f16)), {})
aten.add.Tensor
TIMM/nasnetalarge
((T([16, 336, 21, 21], f16), T([16, 336, 21, 21], f16)), {})
aten.add.Tensor
TIMM/nasnetalarge
((T([16, 336, 21, 21], f16), T([16, 336, 21, 21], f16, stride=(889056, 441, 21, 1))), {})
aten.add.Tensor
TIMM/nasnetalarge
((T([16, 336, 21, 21], f16, stride=(592704, 441, 21, 1)), T([16, 336, 21, 21], f16, stride=(592704, 441, 21, 1))), {})
aten.add.Tensor
TIMM/nasnetalarge
((T([16, 336, 21, 21], f16, stride=(889056, 441, 21, 1)), T([16, 336, 21, 21], f16)), {})
aten.add.Tensor
TIMM/nasnetalarge
((T([16, 336, 42, 42], f16), T([16, 336, 42, 42], f16)), {})
aten.add.Tensor
HuggingFace/MobileBertForMaskedLM
((T([16, 4, 128, 128], f16), T([16, 1, 1, 128], f16)), {})
aten.add.Tensor
TIMM/nasnetalarge
((T([16, 4032, 11, 11], f16), T([16, 4032, 11, 11], f16)), {})
aten.add.Tensor
TIMM/nasnetalarge
((T([16, 42, 165, 165], f16), T([16, 42, 165, 165], f16)), {})
aten.add.Tensor
TIMM/nasnetalarge
((T([16, 42, 83, 83], f16), T([16, 42, 83, 83], f16)), {})
aten.add.Tensor
TIMM/nasnetalarge
((T([16, 42, 83, 83], f16, stride=(1157352, 6889, 83, 1)), T([16, 42, 83, 83], f16, stride=(1157352, 6889, 83, 1))), {})
aten.add.Tensor
TIMM/pnasnet5large
((T([16, 432, 21, 21], f16), T([16, 432, 21, 21], f16)), {})
aten.add.Tensor
TIMM/pnasnet5large
((T([16, 432, 21, 21], f16, stride=(952560, 441, 21, 1)), T([16, 432, 21, 21], f16)), {})
aten.add.Tensor
TIMM/pnasnet5large
((T([16, 432, 42, 42], f16), T([16, 432, 42, 42], f16)), {})
aten.add.Tensor
TIMM/pnasnet5large
((T([16, 4320, 11, 11], f16), T([16, 4320, 11, 11], f16)), {})
aten.add.Tensor
TorchBench/resnet18
((T([16, 512, 7, 7], f16), T([16, 512, 7, 7], f16)), {})
aten.add.Tensor
HuggingFace/LayoutLMForMaskedLM
((T([16, 512, 768], f16), T([1, 512, 768], f16)), {})
aten.add.Tensor
HuggingFace/LayoutLMForSequenceClassification
((T([16, 512, 768], f16), T([1, 512, 768], f16)), {})
aten.add.Tensor
HuggingFace/LayoutLMForMaskedLM
((T([16, 512, 768], f16), T([16, 512, 768], f16)), {})
aten.add.Tensor
HuggingFace/LayoutLMForSequenceClassification
((T([16, 512, 768], f16), T([16, 512, 768], f16)), {})
aten.add.Tensor
TIMM/pnasnet5large
((T([16, 54, 165, 165], f16), T([16, 54, 165, 165], f16)), {})
aten.add.Tensor
TIMM/pnasnet5large
((T([16, 54, 83, 83], f16), T([16, 54, 83, 83], f16)), {})
aten.add.Tensor
TIMM/pnasnet5large
((T([16, 54, 83, 83], f16, stride=(1860030, 6889, 83, 1)), T([16, 54, 83, 83], f16)), {})
aten.add.Tensor
TIMM/pnasnet5large
((T([16, 540, 42, 42], f16), T([16, 540, 42, 42], f16)), {})
aten.add.Tensor
TorchBench/resnet18
((T([16, 64, 56, 56], f16), T([16, 64, 56, 56], f16)), {})
aten.add.Tensor
TIMM/nasnetalarge
((T([16, 672, 11, 11], f16), T([16, 672, 11, 11], f16)), {})
aten.add.Tensor
TIMM/nasnetalarge
((T([16, 672, 11, 11], f16), T([16, 672, 11, 11], f16, stride=(487872, 121, 11, 1))), {})
aten.add.Tensor
TIMM/nasnetalarge
((T([16, 672, 11, 11], f16, stride=(325248, 121, 11, 1)), T([16, 672, 11, 11], f16, stride=(325248, 121, 11, 1))), {})
aten.add.Tensor
TIMM/nasnetalarge
((T([16, 672, 11, 11], f16, stride=(487872, 121, 11, 1)), T([16, 672, 11, 11], f16)), {})
aten.add.Tensor
TIMM/nasnetalarge
((T([16, 672, 21, 21], f16), T([16, 672, 21, 21], f16)), {})
aten.add.Tensor
TIMM/nasnetalarge
((T([16, 84, 42, 42], f16), T([16, 84, 42, 42], f16)), {})
aten.add.Tensor
TIMM/nasnetalarge
((T([16, 84, 42, 42], f16, stride=(592704, 1764, 42, 1)), T([16, 84, 42, 42], f16, stride=(592704, 1764, 42, 1))), {})
aten.add.Tensor
TIMM/nasnetalarge
((T([16, 84, 83, 83], f16), T([16, 84, 83, 83], f16)), {})
aten.add.Tensor
TIMM/pnasnet5large
((T([16, 864, 11, 11], f16), T([16, 864, 11, 11], f16)), {})
aten.add.Tensor
TIMM/pnasnet5large
((T([16, 864, 11, 11], f16, stride=(522720, 121, 11, 1)), T([16, 864, 11, 11], f16)), {})
aten.add.Tensor
TIMM/pnasnet5large
((T([16, 864, 21, 21], f16), T([16, 864, 21, 21], f16)), {})
aten.add.Tensor
TIMM/nasnetalarge
((T([16, 96, 165, 165], f16), T([16, 96, 165, 165], f16)), {})
aten.add.Tensor
TIMM/pnasnet5large
((T([16, 96, 165, 165], f16), T([16, 96, 165, 165], f16)), {})
aten.add.Tensor
HuggingFace/AlbertForMaskedLM
((T([16384, 4096], f16), T([16384, 4096], f16)), {})
aten.add.Tensor
HuggingFace/AlbertForQuestionAnswering
((T([16384, 4096], f16), T([16384, 4096], f16)), {})
aten.add.Tensor
HuggingFace/AlbertForMaskedLM
((T([16384], f16), T([16384], f16)), {})
aten.add.Tensor
HuggingFace/AlbertForQuestionAnswering
((T([16384], f16), T([16384], f16)), {})
aten.add.Tensor
TIMM/coat_lite_mini
((T([16], f16), T([16], f16)), {})
aten.add.Tensor
TIMM/coat_lite_mini
((T([192, 1, 5, 5], f16), T([192, 1, 5, 5], f16)), {})
aten.add.Tensor
TIMM/coat_lite_mini
((T([192, 1, 7, 7], f16), T([192, 1, 7, 7], f16)), {})
aten.add.Tensor
TIMM/coat_lite_mini
((T([192], f16), T([192], f16)), {})
aten.add.Tensor
TIMM/cait_m36_384
((T([2, 1, 768], f16), T([2, 1, 768], f16)), {})
aten.add.Tensor
TIMM/cait_m36_384
((T([2, 1, 768], f16), T([2, 1, 768], f16, stride=(443136, 768, 1))), {})
aten.add.Tensor
TIMM/cait_m36_384
((T([2, 1, 768], f16, stride=(0, 768, 1)), T([2, 1, 768], f16)), {})
aten.add.Tensor
TIMM/cait_m36_384
((T([2, 1, 768], f16, stride=(443136, 768, 1)), T([2, 1, 768], f16)), {})
aten.add.Tensor
HuggingFace/BartForConditionalGeneration
((T([2, 1024, 1024], f16), T([2, 1024, 1024], f16)), {})
aten.add.Tensor
TorchBench/hf_BigBird
((T([2, 1024, 3072], f16), 1.0), {})
aten.add.Tensor
TorchBench/hf_BigBird
((T([2, 1024, 3072], f16), T([2, 1024, 3072], f16)), {})
aten.add.Tensor
HuggingFace/BartForConditionalGeneration
((T([2, 1024, 50265], f16), T([1, 50265], f16)), {})
aten.add.Tensor
TorchBench/hf_BigBird
((T([2, 1024, 768], f16), 1.0), {})
aten.add.Tensor
TorchBench/hf_BigBird
((T([2, 1024, 768], f16), T([2, 1024, 768], f16)), {})
aten.add.Tensor
TorchBench/hf_Longformer
((T([2, 1024, 768], f16), T([2, 1024, 768], f16)), {})
aten.add.Tensor
TorchBench/hf_Longformer
((T([2, 1024, 768], f16), T([2, 1024, 768], f16, stride=(768, 1536, 1))), {})
aten.add.Tensor
TorchBench/hf_Longformer
((T([2, 1024, 768], f16), T([768], f16)), {})
aten.add.Tensor
TorchBench/hf_Longformer
((T([2, 1024], i64), 1), {})
aten.add.Tensor
HuggingFace/BartForConditionalGeneration
((T([2, 1024], i64, stride=(0, 1)), 2), {})