operator name
stringclasses
180 values
used in model
stringclasses
155 values
args
stringlengths
19
5.24k
aten.add.Tensor
TIMM/eca_halonext26ts
((T([128, 256, 16, 16], f16), T([128, 256, 16, 16], f16)), {})
aten.add.Tensor
TIMM/hrnet_w18
((T([128, 256, 28, 28], f16), T([128, 256, 28, 28], f16)), {})
aten.add.Tensor
TIMM/ese_vovnet19b_dw
((T([128, 256, 28, 28], f16, stride=(577024, 784, 28, 1)), T([128, 256, 28, 28], f16)), {})
aten.add.Tensor
TIMM/adv_inception_v3
((T([128, 256, 35, 35], f16), T([128, 256, 35, 35], f16)), {})
aten.add.Tensor
TIMM/gluon_inception_v3
((T([128, 256, 35, 35], f16), T([128, 256, 35, 35], f16)), {})
aten.add.Tensor
TIMM/inception_v3
((T([128, 256, 35, 35], f16), T([128, 256, 35, 35], f16)), {})
aten.add.Tensor
TIMM/dm_nfnet_f0
((T([128, 256, 48, 48], f16), T([128, 256, 48, 48], f16)), {})
aten.add.Tensor
TorchBench/timm_nfnet
((T([128, 256, 48, 48], f16), T([128, 256, 48, 48], f16)), {})
aten.add.Tensor
TIMM/ese_vovnet19b_dw
((T([128, 256, 56, 56], f16), T([128, 256, 56, 56], f16)), {})
aten.add.Tensor
TIMM/hrnet_w18
((T([128, 256, 56, 56], f16), T([128, 256, 56, 56], f16)), {})
aten.add.Tensor
TIMM/nfnet_l0
((T([128, 256, 56, 56], f16), T([128, 256, 56, 56], f16)), {})
aten.add.Tensor
TIMM/res2net50_14w_8s
((T([128, 256, 56, 56], f16), T([128, 256, 56, 56], f16)), {})
aten.add.Tensor
TIMM/res2next50
((T([128, 256, 56, 56], f16), T([128, 256, 56, 56], f16)), {})
aten.add.Tensor
TIMM/botnet26t_256
((T([128, 256, 64, 64], f16), T([128, 256, 64, 64], f16)), {})
aten.add.Tensor
TIMM/eca_botnext26ts_256
((T([128, 256, 64, 64], f16), T([128, 256, 64, 64], f16)), {})
aten.add.Tensor
TIMM/eca_halonext26ts
((T([128, 256, 64, 64], f16), T([128, 256, 64, 64], f16)), {})
aten.add.Tensor
TIMM/lcnet_050
((T([128, 256, 7, 7], f16), T([128, 256, 7, 7], f16)), {})
aten.add.Tensor
TIMM/res2next50
((T([128, 256, 7, 7], f16), T([128, 256, 7, 7], f16, stride=(50176, 49, 7, 1))), {})
aten.add.Tensor
TIMM/res2next50
((T([128, 256, 7, 7], f16, stride=(50176, 49, 7, 1)), T([128, 256, 7, 7], f16)), {})
aten.add.Tensor
TIMM/rexnet_100
((T([128, 27, 56, 56], f16, stride=(119168, 3136, 56, 1)), T([128, 27, 56, 56], f16)), {})
aten.add.Tensor
TIMM/res2net50_14w_8s
((T([128, 28, 28, 28], f16), T([128, 28, 28, 28], f16, stride=(175616, 784, 28, 1))), {})
aten.add.Tensor
TIMM/res2net50_14w_8s
((T([128, 28, 28, 28], f16, stride=(175616, 784, 28, 1)), T([128, 28, 28, 28], f16)), {})
aten.add.Tensor
TIMM/adv_inception_v3
((T([128, 288, 35, 35], f16), T([128, 288, 35, 35], f16)), {})
aten.add.Tensor
TIMM/gluon_inception_v3
((T([128, 288, 35, 35], f16), T([128, 288, 35, 35], f16)), {})
aten.add.Tensor
TIMM/inception_v3
((T([128, 288, 35, 35], f16), T([128, 288, 35, 35], f16)), {})
aten.add.Tensor
TIMM/rexnet_100
((T([128, 300, 28, 28], f16), T([128, 300, 28, 28], f16)), {})
aten.add.Tensor
TIMM/selecsls42b
((T([128, 304, 14, 14], f16, stride=(119168, 196, 14, 1)), T([128, 304, 14, 14], f16)), {})
aten.add.Tensor
TIMM/selecsls42b
((T([128, 304, 14, 14], f16, stride=(178752, 196, 14, 1)), T([128, 304, 14, 14], f16)), {})
aten.add.Tensor
TIMM/coat_lite_mini
((T([128, 3137, 64], f16), T([128, 3137, 64], f16)), {})
aten.add.Tensor
TIMM/regnety_002
((T([128, 32, 112, 112], f16), T([128, 32, 112, 112], f16)), {})
aten.add.Tensor
TIMM/tf_efficientnet_b0
((T([128, 32, 112, 112], f16), T([128, 32, 112, 112], f16)), {})
aten.add.Tensor
TIMM/gernet_l
((T([128, 32, 128, 128], f16), T([128, 32, 128, 128], f16)), {})
aten.add.Tensor
TIMM/fbnetc_100
((T([128, 32, 28, 28], f16), T([128, 32, 28, 28], f16)), {})
aten.add.Tensor
TIMM/mobilenetv2_100
((T([128, 32, 28, 28], f16), T([128, 32, 28, 28], f16)), {})
aten.add.Tensor
TIMM/res2next50
((T([128, 32, 56, 56], f16), T([128, 32, 56, 56], f16, stride=(401408, 3136, 56, 1))), {})
aten.add.Tensor
TIMM/res2next50
((T([128, 32, 56, 56], f16, stride=(401408, 3136, 56, 1)), T([128, 32, 56, 56], f16)), {})
aten.add.Tensor
TIMM/selecsls42b
((T([128, 32, 56, 56], f16, stride=(401408, 3136, 56, 1)), T([128, 32, 56, 56], f16)), {})
aten.add.Tensor
TIMM/selecsls42b
((T([128, 32, 56, 56], f16, stride=(602112, 3136, 56, 1)), T([128, 32, 56, 56], f16)), {})
aten.add.Tensor
TIMM/tinynet_a
((T([128, 32, 96, 96], f16), T([128, 32, 96, 96], f16)), {})
aten.add.Tensor
TIMM/coat_lite_mini
((T([128, 320, 14, 14], f16), T([128, 320, 14, 14], f16, stride=(63040, 1, 4480, 320))), {})
aten.add.Tensor
TIMM/coat_lite_mini
((T([128, 320, 14, 14], f16, stride=(63040, 1, 4480, 320)), T([128, 320, 14, 14], f16, stride=(62720, 1, 4480, 320))), {})
aten.add.Tensor
TIMM/ghostnet_100
((T([128, 336, 14, 14], f16, stride=(131712, 196, 14, 1)), T([128, 336, 14, 14], f16)), {})
aten.add.Tensor
TIMM/hrnet_w18
((T([128, 36, 28, 28], f16), T([128, 36, 28, 28], f16)), {})
aten.add.Tensor
TIMM/ghostnet_100
((T([128, 36, 56, 56], f16, stride=(225792, 3136, 56, 1)), T([128, 36, 56, 56], f16)), {})
aten.add.Tensor
TIMM/fbnetv3_b
((T([128, 360, 14, 14], f16), T([128, 360, 14, 14], f16)), {})
aten.add.Tensor
TIMM/rexnet_100
((T([128, 366, 14, 14], f16), T([128, 366, 14, 14], f16)), {})
aten.add.Tensor
TIMM/regnety_002
((T([128, 368, 7, 7], f16), T([128, 368, 7, 7], f16)), {})
aten.add.Tensor
TIMM/rexnet_100
((T([128, 38, 56, 56], f16), T([128, 38, 56, 56], f16)), {})
aten.add.Tensor
TIMM/visformer_small
((T([128, 384, 14, 14], f16), T([1, 384, 14, 14], f16)), {})
aten.add.Tensor
TIMM/repvgg_a2
((T([128, 384, 14, 14], f16), T([128, 384, 14, 14], f16)), {})
aten.add.Tensor
TIMM/visformer_small
((T([128, 384, 14, 14], f16), T([128, 384, 14, 14], f16)), {})
aten.add.Tensor
TIMM/adv_inception_v3
((T([128, 384, 8, 8], f16), T([128, 384, 8, 8], f16)), {})
aten.add.Tensor
TIMM/gluon_inception_v3
((T([128, 384, 8, 8], f16), T([128, 384, 8, 8], f16)), {})
aten.add.Tensor
TIMM/inception_v3
((T([128, 384, 8, 8], f16), T([128, 384, 8, 8], f16)), {})
aten.add.Tensor
TIMM/levit_128
((T([128, 384], f16), T([128, 384], f16)), {})
aten.add.Tensor
TIMM/levit_128
((T([128, 4, 196, 196], f16), T([4, 196, 196], f16)), {})
aten.add.Tensor
TIMM/ghostnet_100
((T([128, 40, 14, 14], f16, stride=(15680, 196, 14, 1)), T([128, 40, 14, 14], f16)), {})
aten.add.Tensor
TIMM/tinynet_a
((T([128, 40, 24, 24], f16), T([128, 40, 24, 24], f16)), {})
aten.add.Tensor
TIMM/fbnetv3_b
((T([128, 40, 28, 28], f16), T([128, 40, 28, 28], f16)), {})
aten.add.Tensor
TIMM/ghostnet_100
((T([128, 40, 28, 28], f16), T([128, 40, 28, 28], f16)), {})
aten.add.Tensor
TIMM/hardcorenas_a
((T([128, 40, 28, 28], f16), T([128, 40, 28, 28], f16)), {})
aten.add.Tensor
TIMM/mnasnet_100
((T([128, 40, 28, 28], f16), T([128, 40, 28, 28], f16)), {})
aten.add.Tensor
TIMM/mobilenetv3_large_100
((T([128, 40, 28, 28], f16), T([128, 40, 28, 28], f16)), {})
aten.add.Tensor
TIMM/spnasnet_100
((T([128, 40, 28, 28], f16), T([128, 40, 28, 28], f16)), {})
aten.add.Tensor
TIMM/tf_efficientnet_b0
((T([128, 40, 28, 28], f16), T([128, 40, 28, 28], f16)), {})
aten.add.Tensor
TIMM/rexnet_100
((T([128, 432, 14, 14], f16), T([128, 432, 14, 14], f16)), {})
aten.add.Tensor
TIMM/tinynet_a
((T([128, 480, 12, 12], f16), T([128, 480, 12, 12], f16)), {})
aten.add.Tensor
TIMM/ghostnet_100
((T([128, 480, 14, 14], f16), T([128, 480, 14, 14], f16)), {})
aten.add.Tensor
TIMM/hardcorenas_a
((T([128, 480, 14, 14], f16), T([128, 480, 14, 14], f16)), {})
aten.add.Tensor
TIMM/mobilenetv3_large_100
((T([128, 480, 14, 14], f16), T([128, 480, 14, 14], f16)), {})
aten.add.Tensor
TIMM/tf_efficientnet_b0
((T([128, 480, 14, 14], f16), T([128, 480, 14, 14], f16)), {})
aten.add.Tensor
TIMM/ghostnet_100
((T([128, 480, 7, 7], f16, stride=(47040, 49, 7, 1)), T([128, 480, 7, 7], f16)), {})
aten.add.Tensor
TIMM/levit_128
((T([128, 49, 256], f16), T([128, 49, 256], f16)), {})
aten.add.Tensor
TIMM/rexnet_100
((T([128, 50, 28, 28], f16, stride=(47824, 784, 28, 1)), T([128, 50, 28, 28], f16)), {})
aten.add.Tensor
TIMM/coat_lite_mini
((T([128, 50, 512], f16), T([128, 50, 512], f16)), {})
aten.add.Tensor
TIMM/rexnet_100
((T([128, 504, 14, 14], f16), T([128, 504, 14, 14], f16)), {})
aten.add.Tensor
TIMM/hrnet_w18
((T([128, 512, 14, 14], f16), T([128, 512, 14, 14], f16)), {})
aten.add.Tensor
TIMM/ese_vovnet19b_dw
((T([128, 512, 14, 14], f16, stride=(213248, 196, 14, 1)), T([128, 512, 14, 14], f16)), {})
aten.add.Tensor
TIMM/eca_halonext26ts
((T([128, 512, 16, 16], f16), T([128, 512, 16, 16], f16)), {})
aten.add.Tensor
TIMM/dm_nfnet_f0
((T([128, 512, 24, 24], f16), T([128, 512, 24, 24], f16)), {})
aten.add.Tensor
TorchBench/timm_nfnet
((T([128, 512, 24, 24], f16), T([128, 512, 24, 24], f16)), {})
aten.add.Tensor
TIMM/ese_vovnet19b_dw
((T([128, 512, 28, 28], f16), T([128, 512, 28, 28], f16)), {})
aten.add.Tensor
TIMM/nfnet_l0
((T([128, 512, 28, 28], f16), T([128, 512, 28, 28], f16)), {})
aten.add.Tensor
TIMM/res2net50_14w_8s
((T([128, 512, 28, 28], f16), T([128, 512, 28, 28], f16)), {})
aten.add.Tensor
TIMM/res2next50
((T([128, 512, 28, 28], f16), T([128, 512, 28, 28], f16)), {})
aten.add.Tensor
TIMM/botnet26t_256
((T([128, 512, 32, 32], f16), T([128, 512, 32, 32], f16)), {})
aten.add.Tensor
TIMM/eca_botnext26ts_256
((T([128, 512, 32, 32], f16), T([128, 512, 32, 32], f16)), {})
aten.add.Tensor
TIMM/eca_halonext26ts
((T([128, 512, 32, 32], f16), T([128, 512, 32, 32], f16)), {})
aten.add.Tensor
TIMM/resnet18
((T([128, 512, 7, 7], f16), T([128, 512, 7, 7], f16)), {})
aten.add.Tensor
TIMM/coat_lite_mini
((T([128, 512, 7, 7], f16), T([128, 512, 7, 7], f16, stride=(25600, 1, 3584, 512))), {})
aten.add.Tensor
TIMM/coat_lite_mini
((T([128, 512, 7, 7], f16, stride=(25600, 1, 3584, 512)), T([128, 512, 7, 7], f16, stride=(25088, 1, 3584, 512))), {})
aten.add.Tensor
TIMM/eca_halonext26ts
((T([128, 512, 8, 8], f16), T([128, 512, 8, 8], f16)), {})
aten.add.Tensor
TIMM/res2net50_14w_8s
((T([128, 56, 14, 14], f16), T([128, 56, 14, 14], f16, stride=(87808, 196, 14, 1))), {})
aten.add.Tensor
TIMM/ghostnet_100
((T([128, 56, 14, 14], f16, stride=(21952, 196, 14, 1)), T([128, 56, 14, 14], f16)), {})
aten.add.Tensor
TIMM/res2net50_14w_8s
((T([128, 56, 14, 14], f16, stride=(87808, 196, 14, 1)), T([128, 56, 14, 14], f16)), {})
aten.add.Tensor
TIMM/regnety_002
((T([128, 56, 28, 28], f16), T([128, 56, 28, 28], f16)), {})
aten.add.Tensor
TIMM/rexnet_100
((T([128, 570, 14, 14], f16), T([128, 570, 14, 14], f16)), {})
aten.add.Tensor
TIMM/ghostnet_100
((T([128, 60, 28, 28], f16, stride=(94080, 784, 28, 1)), T([128, 60, 28, 28], f16)), {})
aten.add.Tensor
TIMM/rexnet_100
((T([128, 61, 28, 28], f16), T([128, 61, 28, 28], f16)), {})
aten.add.Tensor
TIMM/rexnet_100
((T([128, 636, 14, 14], f16), T([128, 636, 14, 14], f16)), {})