Datasets:
GPUMODE
/
backendbench_tests

Dataset card Data Studio Files
xet
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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.add.Tensor
TorchBench/hf_Bart
((T([4, 512], i64, stride=(0, 1)), 2), {})
aten.add.Tensor
TorchBench/vision_maskrcnn
((T([4, 64, 296, 304], f16), T([1, 64, 1, 1], f16)), {})
aten.add.Tensor
TorchBench/densenet121
((T([4, 64, 56, 56], f16), T([4, 64, 56, 56], f16)), {})
aten.add.Tensor
TorchBench/densenet121
((T([4, 64, 56, 56], f16), T([4, 64, 56, 56], f16, stride=(301056, 3136, 56, 1))), {})
aten.add.Tensor
TorchBench/densenet121
((T([4, 64, 56, 56], f16), T([4, 64, 56, 56], f16, stride=(401408, 3136, 56, 1))), {})
aten.add.Tensor
TorchBench/densenet121
((T([4, 64, 56, 56], f16), T([4, 64, 56, 56], f16, stride=(501760, 3136, 56, 1))), {})
aten.add.Tensor
TorchBench/densenet121
((T([4, 64, 56, 56], f16), T([4, 64, 56, 56], f16, stride=(602112, 3136, 56, 1))), {})
aten.add.Tensor
TorchBench/densenet121
((T([4, 64, 56, 56], f16, stride=(802816, 3136, 56, 1)), T([4, 64, 56, 56], f16, stride=(702464, 3136, 56, 1))), {})
aten.add.Tensor
TorchBench/vision_maskrcnn
((T([4, 64, 592, 608], f16), T([1, 64, 1, 1], f16)), {})
aten.add.Tensor
HuggingFace/AlbertForMaskedLM
((T([4096, 16384], f16), T([4096, 16384], f16)), {})
aten.add.Tensor
HuggingFace/AlbertForQuestionAnswering
((T([4096, 16384], f16), T([4096, 16384], f16)), {})
aten.add.Tensor
TIMM/eca_halonext26ts
((T([4096, 4, 4, 12, 12], f16, stride=(460, 23, 115, 1, 0)), T([4096, 4, 4, 12, 12], f16, stride=(460, 115, 23, 0, 1))), {})
aten.add.Tensor
TIMM/eca_halonext26ts
((T([4096, 4, 4, 16], f16, stride=(256, 16, 64, 1)), T([4096, 4, 4, 16], f16)), {})
aten.add.Tensor
TIMM/swin_base_patch4_window7_224
((T([4096, 4, 49, 49], f16), T([1, 4, 49, 49], f16)), {})
aten.add.Tensor
HuggingFace/AlbertForMaskedLM
((T([4096, 4096], f16), T([4096, 4096], f16)), {})
aten.add.Tensor
HuggingFace/AlbertForQuestionAnswering
((T([4096, 4096], f16), T([4096, 4096], f16)), {})
aten.add.Tensor
TIMM/eca_halonext26ts
((T([4096, 8, 8, 12, 12], f16, stride=(1656, 23, 207, 1, 0)), T([4096, 8, 8, 12, 12], f16, stride=(1656, 207, 23, 0, 1))), {})
aten.add.Tensor
TIMM/eca_halonext26ts
((T([4096, 8, 8, 16], f16, stride=(1024, 16, 128, 1)), T([4096, 8, 8, 16], f16)), {})
aten.add.Tensor
HuggingFace/AlbertForMaskedLM
((T([4096], f16), T([4096], f16)), {})
aten.add.Tensor
HuggingFace/AlbertForQuestionAnswering
((T([4096], f16), T([4096], f16)), {})
aten.add.Tensor
TIMM/coat_lite_mini
((T([48, 1, 5, 5], f16), T([48, 1, 5, 5], f16)), {})
aten.add.Tensor
TIMM/coat_lite_mini
((T([48, 1, 7, 7], f16), T([48, 1, 7, 7], f16)), {})
aten.add.Tensor
TIMM/coat_lite_mini
((T([48], f16), T([48], f16)), {})
aten.add.Tensor
TorchBench/timm_efficientdet
((T([5000, 4], f32), T([5000, 1], f32)), {})
aten.add.Tensor
HuggingFace/PLBartForCausalLM
((T([50005, 768], f16), T([50005, 768], f16)), {})
aten.add.Tensor
HuggingFace/PLBartForConditionalGeneration
((T([50005, 768], f16), T([50005, 768], f16)), {})
aten.add.Tensor
TorchBench/timm_efficientdet
((T([5000], f16, stride=(4,)), T([5000], f16, stride=(4,))), {})
aten.add.Tensor
TorchBench/timm_efficientdet
((T([5000], f32), T([5000], f16)), {})
aten.add.Tensor
TorchBench/timm_efficientdet
((T([5000], f32), T([5000], f32)), {})
aten.add.Tensor
TorchBench/timm_efficientdet
((T([5000], f32, stride=(4,)), T([5000], f32)), {})
aten.add.Tensor
TorchBench/timm_efficientdet
((T([5000], f32, stride=(4,)), T([5000], f32, stride=(4,))), {})
aten.add.Tensor
HuggingFace/GPTNeoForCausalLM
((T([50257, 2048], f16), T([50257, 2048], f16)), {})
aten.add.Tensor
HuggingFace/DistillGPT2
((T([50257, 768], f16), T([50257, 768], f16)), {})
aten.add.Tensor
TorchBench/hf_GPT2
((T([50257, 768], f16), T([50257, 768], f16)), {})
aten.add.Tensor
HuggingFace/BartForCausalLM
((T([50265, 1024], f16), T([50265, 1024], f16)), {})
aten.add.Tensor
HuggingFace/BartForConditionalGeneration
((T([50265, 1024], f16), T([50265, 1024], f16)), {})
aten.add.Tensor
HuggingFace/MBartForCausalLM
((T([50265, 1024], f16), T([50265, 1024], f16)), {})
aten.add.Tensor
HuggingFace/MBartForConditionalGeneration
((T([50265, 1024], f16), T([50265, 1024], f16)), {})
aten.add.Tensor
HuggingFace/PegasusForCausalLM
((T([50265, 1024], f16), T([50265, 1024], f16)), {})
aten.add.Tensor
HuggingFace/PegasusForConditionalGeneration
((T([50265, 1024], f16), T([50265, 1024], f16)), {})
aten.add.Tensor
HuggingFace/TrOCRForCausalLM
((T([50265, 1024], f16), T([50265, 1024], f16)), {})
aten.add.Tensor
HuggingFace/BlenderbotSmallForCausalLM
((T([50265, 512], f16), T([50265, 512], f16)), {})
aten.add.Tensor
HuggingFace/BlenderbotSmallForConditionalGeneration
((T([50265, 512], f16), T([50265, 512], f16)), {})
aten.add.Tensor
HuggingFace/AllenaiLongformerBase
((T([50265, 768], f16), T([50265, 768], f16)), {})
aten.add.Tensor
HuggingFace/DebertaForMaskedLM
((T([50265, 768], f16), T([50265, 768], f16)), {})
aten.add.Tensor
TorchBench/hf_Bart
((T([50265, 768], f16), T([50265, 768], f16)), {})
aten.add.Tensor
TorchBench/hf_Longformer
((T([50265, 768], f16), T([50265, 768], f16)), {})
aten.add.Tensor
HuggingFace/OPTForCausalLM
((T([50272, 768], f16), T([50272, 768], f16)), {})
aten.add.Tensor
HuggingFace/BigBird
((T([50358, 768], f16), T([50358, 768], f16)), {})
aten.add.Tensor
TorchBench/hf_BigBird
((T([50358, 768], f16), T([50358, 768], f16)), {})
aten.add.Tensor
HuggingFace/BigBird
((T([504], i64), T([504], i64)), {})
aten.add.Tensor
TIMM/coat_lite_mini
((T([512, 1, 3, 3], f16), T([512, 1, 3, 3], f16)), {})
aten.add.Tensor
TIMM/botnet26t_256
((T([512, 16, 16, 128], f16, stride=(32768, 128, 2048, 1)), T([512, 16, 16, 128], f16)), {})
aten.add.Tensor
TIMM/botnet26t_256
((T([512, 16, 16, 16, 16], f16, stride=(8432, 31, 527, 1, 0)), T([512, 16, 16, 16, 16], f16, stride=(8432, 527, 31, 0, 1))), {})
aten.add.Tensor
TIMM/eca_botnext26ts_256
((T([512, 16, 16, 16, 16], f16, stride=(8432, 31, 527, 1, 0)), T([512, 16, 16, 16, 16], f16, stride=(8432, 527, 31, 0, 1))), {})
aten.add.Tensor
TIMM/eca_botnext26ts_256
((T([512, 16, 16, 16], f16, stride=(4096, 16, 256, 1)), T([512, 16, 16, 16], f16)), {})
aten.add.Tensor
TIMM/botnet26t_256
((T([512, 16, 16, 64], f16, stride=(16384, 64, 1024, 1)), T([512, 16, 16, 64], f16)), {})
aten.add.Tensor
TIMM/botnet26t_256
((T([512, 256, 128], f16), T([512, 256, 128], f16)), {})
aten.add.Tensor
TIMM/eca_botnext26ts_256
((T([512, 256, 16], f16), T([512, 256, 16], f16)), {})
aten.add.Tensor
TIMM/botnet26t_256
((T([512, 256, 256], f16), T([512, 256, 256], f16)), {})
aten.add.Tensor
TIMM/eca_botnext26ts_256
((T([512, 256, 256], f16), T([512, 256, 256], f16)), {})
aten.add.Tensor
TIMM/botnet26t_256
((T([512, 256, 64], f16), T([512, 256, 64], f16)), {})
aten.add.Tensor
HuggingFace/XLNetLMHeadModel
((T([512, 4, 1024], f16), T([512, 4, 1024], f16)), {})
aten.add.Tensor
HuggingFace/XLNetLMHeadModel
((T([512, 4, 16, 64], f16), T([16, 64], f16)), {})
aten.add.Tensor
HuggingFace/XLNetLMHeadModel
((T([512, 4, 16, 64], f16, stride=(64, 524288, 32768, 1)), T([512, 4, 16, 64], f16, stride=(64, 524288, 32768, 1))), {})
aten.add.Tensor
TIMM/botnet26t_256
((T([512, 64, 128], f16), T([512, 64, 128], f16)), {})
aten.add.Tensor
TIMM/eca_botnext26ts_256
((T([512, 64, 16], f16), T([512, 64, 16], f16)), {})
aten.add.Tensor
TIMM/botnet26t_256
((T([512, 64, 64], f16), T([512, 64, 64], f16)), {})
aten.add.Tensor
TIMM/eca_botnext26ts_256
((T([512, 64, 64], f16), T([512, 64, 64], f16)), {})
aten.add.Tensor
HuggingFace/OPTForCausalLM
((T([512, 768], f16), T([512, 768], f16)), {})
aten.add.Tensor
TIMM/botnet26t_256
((T([512, 8, 8, 128], f16, stride=(8192, 128, 1024, 1)), T([512, 8, 8, 128], f16)), {})
aten.add.Tensor
TIMM/eca_botnext26ts_256
((T([512, 8, 8, 16], f16, stride=(1024, 16, 128, 1)), T([512, 8, 8, 16], f16)), {})
aten.add.Tensor
TIMM/botnet26t_256
((T([512, 8, 8, 8, 8], f16, stride=(1080, 15, 135, 1, 0)), T([512, 8, 8, 8, 8], f16, stride=(1080, 135, 15, 0, 1))), {})
aten.add.Tensor
TIMM/eca_botnext26ts_256
((T([512, 8, 8, 8, 8], f16, stride=(1080, 15, 135, 1, 0)), T([512, 8, 8, 8, 8], f16, stride=(1080, 135, 15, 0, 1))), {})
aten.add.Tensor
TIMM/coat_lite_mini
((T([512], f16), T([512], f16)), {})
aten.add.Tensor
TorchBench/hf_Bart
((T([512], i64), 1), {})
aten.add.Tensor
TorchBench/vision_maskrcnn
((T([5624, 1, 4], i32), T([1, 3, 4], f16)), {})
aten.add.Tensor
TorchBench/Super_SloMo
((T([6, 1, 352, 352], f16), T([6, 1, 352, 352], f16)), {})
aten.add.Tensor
TorchBench/fastNLP_Bert
((T([6, 12, 476, 476], f16), T([6, 1, 1, 476], f16)), {})
aten.add.Tensor
TorchBench/Super_SloMo
((T([6, 128, 88, 88], f16, stride=(1982464, 7744, 88, 1)), T([6, 128, 88, 88], f16)), {})
aten.add.Tensor
TorchBench/Super_SloMo
((T([6, 2, 352, 352], f16), T([6, 2, 352, 352], f16)), {})
aten.add.Tensor
TorchBench/Super_SloMo
((T([6, 2, 352, 352], f16), T([6, 2, 352, 352], f16, stride=(2478080, 123904, 352, 1))), {})
aten.add.Tensor
TorchBench/Super_SloMo
((T([6, 2, 352, 352], f16, stride=(619520, 123904, 352, 1)), T([6, 2, 352, 352], f16)), {})
aten.add.Tensor
TorchBench/Super_SloMo
((T([6, 256, 44, 44], f16, stride=(991232, 1936, 44, 1)), T([6, 256, 44, 44], f16)), {})
aten.add.Tensor
TorchBench/Super_SloMo
((T([6, 3, 352, 352], f16), T([6, 3, 352, 352], f16)), {})
aten.add.Tensor
TorchBench/Super_SloMo
((T([6, 3, 352, 352], f16), T([6, 3, 352, 352], f16, stride=(2478080, 123904, 352, 1))), {})
aten.add.Tensor
TorchBench/Super_SloMo
((T([6, 3, 352, 352], f16, stride=(0, 0, 0, 0)), T([6, 3, 352, 352], f16)), {})
aten.add.Tensor
TorchBench/Super_SloMo
((T([6, 32, 352, 352], f16, stride=(7929856, 123904, 352, 1)), T([6, 32, 352, 352], f16)), {})
aten.add.Tensor
TorchBench/Super_SloMo
((T([6, 352, 352], f16), T([6, 352, 352], f16, stride=(247808, 352, 1))), {})
aten.add.Tensor
TorchBench/Super_SloMo
((T([6, 352, 352], f16), T([6, 352, 352], f16, stride=(495616, 352, 1))), {})
aten.add.Tensor
TorchBench/Super_SloMo
((T([6, 4, 352, 352], f16), T([6, 4, 352, 352], f16)), {})
aten.add.Tensor
TorchBench/fastNLP_Bert
((T([6, 474, 2], f16), T([6, 474, 2], f16)), {})
aten.add.Tensor
TorchBench/fastNLP_Bert
((T([6, 476, 3072], f16), 1.0), {})
aten.add.Tensor
TorchBench/fastNLP_Bert
((T([6, 476, 3072], f16), T([6, 476, 3072], f16)), {})
aten.add.Tensor
TorchBench/fastNLP_Bert
((T([6, 476, 768], f16), T([6, 476, 768], f16)), {})
aten.add.Tensor
TorchBench/Super_SloMo
((T([6, 5, 352, 352], f16), T([6, 5, 352, 352], f16)), {})
aten.add.Tensor
TorchBench/Super_SloMo
((T([6, 512, 22, 22], f16, stride=(495616, 484, 22, 1)), T([6, 512, 22, 22], f16)), {})
aten.add.Tensor
TorchBench/Super_SloMo
((T([6, 64, 176, 176], f16, stride=(3964928, 30976, 176, 1)), T([6, 64, 176, 176], f16)), {})
aten.add.Tensor
TIMM/pit_b_224
((T([64, 1, 1024], f16), T([1024], f16)), {})
aten.add.Tensor
TIMM/crossvit_9_240
((T([64, 1, 128], f16), T([128], f16)), {})