operator name
stringclasses 180
values | used in model
stringclasses 155
values | args
stringlengths 19
5.24k
|
|---|---|---|
aten.split.Tensor
|
TIMM/res2net50_14w_8s
|
((T([128, 224, 28, 28], f16), 28, 1), {})
|
aten.split.Tensor
|
TIMM/res2net50_14w_8s
|
((T([128, 224, 56, 56], f16), 28, 1), {})
|
aten.split.Tensor
|
TorchBench/shufflenet_v2_x1_0
|
((T([128, 232, 14, 14], f16), 116, 1), {})
|
aten.split.Tensor
|
TIMM/res2next50
|
((T([128, 256, 28, 28], f16), 64, 1), {})
|
aten.split.Tensor
|
TIMM/res2next50
|
((T([128, 256, 56, 56], f16), 64, 1), {})
|
aten.split.Tensor
|
TIMM/res2net50_14w_8s
|
((T([128, 448, 14, 14], f16), 56, 1), {})
|
aten.split.Tensor
|
TIMM/res2net50_14w_8s
|
((T([128, 448, 28, 28], f16), 56, 1), {})
|
aten.split.Tensor
|
TorchBench/shufflenet_v2_x1_0
|
((T([128, 464, 7, 7], f16), 232, 1), {})
|
aten.split.Tensor
|
TIMM/res2next50
|
((T([128, 512, 14, 14], f16), 128, 1), {})
|
aten.split.Tensor
|
TIMM/res2next50
|
((T([128, 512, 28, 28], f16), 128, 1), {})
|
aten.split.Tensor
|
TIMM/res2net50_14w_8s
|
((T([128, 896, 14, 14], f16), 112, 1), {})
|
aten.split.Tensor
|
TIMM/res2net50_14w_8s
|
((T([128, 896, 7, 7], f16), 112, 1), {})
|
aten.split.Tensor
|
HuggingFace/AlbertForQuestionAnswering
|
((T([2, 512, 2], f16), 1, -1), {})
|
aten.split.Tensor
|
HuggingFace/DistilBertForQuestionAnswering
|
((T([32, 128, 2], f16), 1, -1), {})
|
aten.split.Tensor
|
HuggingFace/MobileBertForQuestionAnswering
|
((T([32, 128, 2], f16), 1, -1), {})
|
aten.split.Tensor
|
HuggingFace/GPT2ForSequenceClassification
|
((T([4, 1024, 2304], f16), 768, 2), {})
|
aten.split.Tensor
|
HuggingFace/DebertaForMaskedLM
|
((T([4, 12, 512, 192], f16, stride=(1179648, 192, 2304, 1)), 64, -1), {})
|
aten.split.Tensor
|
HuggingFace/DebertaForQuestionAnswering
|
((T([4, 12, 512, 192], f16, stride=(1179648, 192, 2304, 1)), 64, -1), {})
|
aten.split.Tensor
|
TorchBench/hf_GPT2
|
((T([4, 512, 2304], f16), 768, 2), {})
|
aten.split.Tensor
|
HuggingFace/DebertaForQuestionAnswering
|
((T([4, 512, 2], f16), 1, -1), {})
|
aten.split.Tensor
|
TIMM/res2net101_26w_4s
|
((T([64, 104, 56, 56], f16), 26, 1), {})
|
aten.split.Tensor
|
HuggingFace/BertForQuestionAnswering
|
((T([64, 128, 2], f16), 1, -1), {})
|
aten.split.Tensor
|
HuggingFace/RobertaForQuestionAnswering
|
((T([64, 128, 2], f16), 1, -1), {})
|
aten.split.Tensor
|
TIMM/gmixer_24_224
|
((T([64, 196, 1536], f16), 768, -1), {})
|
aten.split.Tensor
|
TIMM/gmlp_s16_224
|
((T([64, 196, 1536], f16), 768, -1), {})
|
aten.split.Tensor
|
TIMM/res2net101_26w_4s
|
((T([64, 208, 28, 28], f16), 52, 1), {})
|
aten.split.Tensor
|
TIMM/res2net101_26w_4s
|
((T([64, 208, 56, 56], f16), 52, 1), {})
|
aten.split.Tensor
|
TIMM/gmixer_24_224
|
((T([64, 384, 384], f16), 192, -1), {})
|
aten.split.Tensor
|
TIMM/res2net101_26w_4s
|
((T([64, 416, 14, 14], f16), 104, 1), {})
|
aten.split.Tensor
|
TIMM/res2net101_26w_4s
|
((T([64, 416, 28, 28], f16), 104, 1), {})
|
aten.split.Tensor
|
HuggingFace/ElectraForQuestionAnswering
|
((T([64, 512, 2], f16), 1, -1), {})
|
aten.split.Tensor
|
TIMM/res2net101_26w_4s
|
((T([64, 832, 14, 14], f16), 208, 1), {})
|
aten.split.Tensor
|
TIMM/res2net101_26w_4s
|
((T([64, 832, 7, 7], f16), 208, 1), {})
|
aten.split.Tensor
|
HuggingFace/MegatronBertForQuestionAnswering
|
((T([8, 128, 2], f16), 1, -1), {})
|
aten.split_with_sizes.default
|
TorchBench/vision_maskrcnn
|
((T([0, 1, 28, 28], f16), [0, 0, 0, 0]), {})
|
aten.split_with_sizes.default
|
TorchBench/vision_maskrcnn
|
((T([0, 364], f16), [0, 0, 0, 0]), {})
|
aten.split_with_sizes.default
|
TorchBench/vision_maskrcnn
|
((T([0, 91], f16), [0, 0, 0, 0]), {})
|
aten.split_with_sizes.default
|
TIMM/eca_halonext26ts
|
((T([1024, 1, 144, 80], f16, stride=(11520, 144, 1, 144)), [16, 64], -1), {})
|
aten.split_with_sizes.default
|
TIMM/eca_halonext26ts
|
((T([1024, 4, 144, 48], f16, stride=(27648, 144, 1, 576)), [16, 32], -1), {})
|
aten.split_with_sizes.default
|
TIMM/eca_halonext26ts
|
((T([1024, 4, 144, 80], f16, stride=(46080, 144, 1, 576)), [16, 64], -1), {})
|
aten.split_with_sizes.default
|
TIMM/coat_lite_mini
|
((T([128, 128, 28, 28], f16, stride=(301440, 1, 10752, 384)), [32, 48, 48], 1), {})
|
aten.split_with_sizes.default
|
TIMM/botnet26t_256
|
((T([128, 1536, 16, 16], f16), [512, 512, 512], 1), {})
|
aten.split_with_sizes.default
|
TIMM/botnet26t_256
|
((T([128, 1536, 8, 8], f16), [512, 512, 512], 1), {})
|
aten.split_with_sizes.default
|
TIMM/levit_128
|
((T([128, 16, 12, 64], f16), [16, 16, 32], 3), {})
|
aten.split_with_sizes.default
|
TIMM/levit_128
|
((T([128, 196, 4, 64], f16), [16, 16, 32], 3), {})
|
aten.split_with_sizes.default
|
TIMM/levit_128
|
((T([128, 196, 8, 80], f16), [16, 64], 3), {})
|
aten.split_with_sizes.default
|
TIMM/coat_lite_mini
|
((T([128, 320, 14, 14], f16, stride=(189120, 1, 13440, 960)), [80, 120, 120], 1), {})
|
aten.split_with_sizes.default
|
TIMM/eca_botnext26ts_256
|
((T([128, 384, 16, 16], f16), [64, 64, 256], 1), {})
|
aten.split_with_sizes.default
|
TIMM/levit_128
|
((T([128, 49, 16, 80], f16), [16, 64], 3), {})
|
aten.split_with_sizes.default
|
TIMM/levit_128
|
((T([128, 49, 8, 64], f16), [16, 16, 32], 3), {})
|
aten.split_with_sizes.default
|
TIMM/coat_lite_mini
|
((T([128, 512, 7, 7], f16, stride=(76800, 1, 10752, 1536)), [128, 192, 192], 1), {})
|
aten.split_with_sizes.default
|
TIMM/coat_lite_mini
|
((T([128, 64, 56, 56], f16, stride=(602304, 1, 10752, 192)), [16, 24, 24], 1), {})
|
aten.split_with_sizes.default
|
TIMM/eca_botnext26ts_256
|
((T([128, 640, 16, 16], f16), [64, 64, 512], 1), {})
|
aten.split_with_sizes.default
|
TIMM/eca_botnext26ts_256
|
((T([128, 640, 8, 8], f16), [64, 64, 512], 1), {})
|
aten.split_with_sizes.default
|
TIMM/botnet26t_256
|
((T([128, 768, 16, 16], f16), [256, 256, 256], 1), {})
|
aten.split_with_sizes.default
|
TorchBench/vision_maskrcnn
|
((T([4, 359613], f16), [269952, 67488, 16872, 4218, 1083], 1), {})
|
aten.split_with_sizes.default
|
TIMM/mixnet_l
|
((T([64, 104, 14, 14], f16), [52, 52], 1), {})
|
aten.split_with_sizes.default
|
TIMM/tf_mixnet_l
|
((T([64, 104, 14, 14], f16), [52, 52], 1), {})
|
aten.split_with_sizes.default
|
TIMM/mixnet_l
|
((T([64, 120, 56, 56], f16), [60, 60], 1), {})
|
aten.split_with_sizes.default
|
TIMM/tf_mixnet_l
|
((T([64, 120, 56, 56], f16), [60, 60], 1), {})
|
aten.split_with_sizes.default
|
TIMM/sebotnet33ts_256
|
((T([64, 1536, 16, 16], f16), [512, 512, 512], 1), {})
|
aten.split_with_sizes.default
|
TIMM/sebotnet33ts_256
|
((T([64, 1536, 8, 8], f16), [512, 512, 512], 1), {})
|
aten.split_with_sizes.default
|
TIMM/mixnet_l
|
((T([64, 1584, 7, 7], f16), [396, 396, 396, 396], 1), {})
|
aten.split_with_sizes.default
|
TIMM/tf_mixnet_l
|
((T([64, 1584, 7, 7], f16), [396, 396, 396, 396], 1), {})
|
aten.split_with_sizes.default
|
TIMM/mixnet_l
|
((T([64, 1584, 7, 7], f16), [792, 792], 1), {})
|
aten.split_with_sizes.default
|
TIMM/tf_mixnet_l
|
((T([64, 1584, 7, 7], f16), [792, 792], 1), {})
|
aten.split_with_sizes.default
|
TIMM/mixnet_l
|
((T([64, 160, 14, 14], f16), [80, 80], 1), {})
|
aten.split_with_sizes.default
|
TIMM/tf_mixnet_l
|
((T([64, 160, 14, 14], f16), [80, 80], 1), {})
|
aten.split_with_sizes.default
|
TIMM/mixnet_l
|
((T([64, 192, 112, 112], f16), [64, 64, 64], 1), {})
|
aten.split_with_sizes.default
|
TIMM/tf_mixnet_l
|
((T([64, 192, 112, 112], f16), [64, 64, 64], 1), {})
|
aten.split_with_sizes.default
|
TIMM/mixnet_l
|
((T([64, 192, 56, 56], f16), [96, 96], 1), {})
|
aten.split_with_sizes.default
|
TIMM/tf_mixnet_l
|
((T([64, 192, 56, 56], f16), [96, 96], 1), {})
|
aten.split_with_sizes.default
|
TIMM/mixnet_l
|
((T([64, 240, 56, 56], f16), [60, 60, 60, 60], 1), {})
|
aten.split_with_sizes.default
|
TIMM/tf_mixnet_l
|
((T([64, 240, 56, 56], f16), [60, 60, 60, 60], 1), {})
|
aten.split_with_sizes.default
|
TIMM/mixnet_l
|
((T([64, 32, 112, 112], f16), [16, 16], 1), {})
|
aten.split_with_sizes.default
|
TIMM/tf_mixnet_l
|
((T([64, 32, 112, 112], f16), [16, 16], 1), {})
|
aten.split_with_sizes.default
|
TIMM/mixnet_l
|
((T([64, 336, 28, 28], f16), [112, 112, 112], 1), {})
|
aten.split_with_sizes.default
|
TIMM/tf_mixnet_l
|
((T([64, 336, 28, 28], f16), [112, 112, 112], 1), {})
|
aten.split_with_sizes.default
|
TIMM/mixnet_l
|
((T([64, 336, 28, 28], f16), [168, 168], 1), {})
|
aten.split_with_sizes.default
|
TIMM/tf_mixnet_l
|
((T([64, 336, 28, 28], f16), [168, 168], 1), {})
|
aten.split_with_sizes.default
|
TIMM/sebotnet33ts_256
|
((T([64, 384, 32, 32], f16), [128, 128, 128], 1), {})
|
aten.split_with_sizes.default
|
TIMM/mixnet_l
|
((T([64, 40, 56, 56], f16), [20, 20], 1), {})
|
aten.split_with_sizes.default
|
TIMM/tf_mixnet_l
|
((T([64, 40, 56, 56], f16), [20, 20], 1), {})
|
aten.split_with_sizes.default
|
TIMM/mixnet_l
|
((T([64, 480, 14, 14], f16), [120, 120, 120, 120], 1), {})
|
aten.split_with_sizes.default
|
TIMM/tf_mixnet_l
|
((T([64, 480, 14, 14], f16), [120, 120, 120, 120], 1), {})
|
aten.split_with_sizes.default
|
TIMM/mixnet_l
|
((T([64, 480, 14, 14], f16), [240, 240], 1), {})
|
aten.split_with_sizes.default
|
TIMM/tf_mixnet_l
|
((T([64, 480, 14, 14], f16), [240, 240], 1), {})
|
aten.split_with_sizes.default
|
TIMM/mixnet_l
|
((T([64, 56, 28, 28], f16), [28, 28], 1), {})
|
aten.split_with_sizes.default
|
TIMM/tf_mixnet_l
|
((T([64, 56, 28, 28], f16), [28, 28], 1), {})
|
aten.split_with_sizes.default
|
TIMM/mixnet_l
|
((T([64, 624, 14, 14], f16), [156, 156, 156, 156], 1), {})
|
aten.split_with_sizes.default
|
TIMM/tf_mixnet_l
|
((T([64, 624, 14, 14], f16), [156, 156, 156, 156], 1), {})
|
aten.split_with_sizes.default
|
TIMM/mixnet_l
|
((T([64, 624, 14, 14], f16), [312, 312], 1), {})
|
aten.split_with_sizes.default
|
TIMM/tf_mixnet_l
|
((T([64, 624, 14, 14], f16), [312, 312], 1), {})
|
aten.split_with_sizes.default
|
TIMM/sebotnet33ts_256
|
((T([64, 768, 16, 16], f16), [256, 256, 256], 1), {})
|
aten.split_with_sizes.default
|
TIMM/mixnet_l
|
((T([64, 960, 14, 14], f16), [240, 240, 240, 240], 1), {})
|
aten.split_with_sizes.default
|
TIMM/tf_mixnet_l
|
((T([64, 960, 14, 14], f16), [240, 240, 240, 240], 1), {})
|
aten.sqrt.default
|
TorchBench/vision_maskrcnn
|
((T([0], f32),), {})
|
aten.sqrt.default
|
HuggingFace/DebertaForMaskedLM
|
((T([4, 512, 1], f32),), {})
|
aten.sqrt.default
|
HuggingFace/DebertaForQuestionAnswering
|
((T([4, 512, 1], f32),), {})
|
aten.sqrt.default
|
HuggingFace/DebertaForMaskedLM
|
((T([], f32),), {})
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.