operator name
stringclasses
180 values
used in model
stringclasses
155 values
args
stringlengths
19
5.24k
aten.add.Tensor
TIMM/gernet_l
((T([128, 128, 64, 64], f16), T([128, 128, 64, 64], f16)), {})
aten.add.Tensor
TIMM/lcnet_050
((T([128, 128, 7, 7], f16), T([128, 128, 7, 7], f16)), {})
aten.add.Tensor
TIMM/adv_inception_v3
((T([128, 1280, 8, 8], f16), T([128, 1280, 8, 8], f16)), {})
aten.add.Tensor
TIMM/gluon_inception_v3
((T([128, 1280, 8, 8], f16), T([128, 1280, 8, 8], f16)), {})
aten.add.Tensor
TIMM/inception_v3
((T([128, 1280, 8, 8], f16), T([128, 1280, 8, 8], f16)), {})
aten.add.Tensor
TIMM/res2net50_14w_8s
((T([128, 14, 56, 56], f16), T([128, 14, 56, 56], f16, stride=(351232, 3136, 56, 1))), {})
aten.add.Tensor
TIMM/res2net50_14w_8s
((T([128, 14, 56, 56], f16, stride=(351232, 3136, 56, 1)), T([128, 14, 56, 56], f16)), {})
aten.add.Tensor
TIMM/rexnet_100
((T([128, 140, 7, 7], f16, stride=(7399, 49, 7, 1)), T([128, 140, 7, 7], f16)), {})
aten.add.Tensor
TIMM/repvgg_a2
((T([128, 1408, 7, 7], f16), T([128, 1408, 7, 7], f16)), {})
aten.add.Tensor
TIMM/tinynet_a
((T([128, 144, 24, 24], f16), T([128, 144, 24, 24], f16)), {})
aten.add.Tensor
TIMM/tf_efficientnet_b0
((T([128, 144, 28, 28], f16), T([128, 144, 28, 28], f16)), {})
aten.add.Tensor
TIMM/selecsls42b
((T([128, 144, 28, 28], f16, stride=(225792, 784, 28, 1)), T([128, 144, 28, 28], f16)), {})
aten.add.Tensor
TIMM/selecsls42b
((T([128, 144, 28, 28], f16, stride=(338688, 784, 28, 1)), T([128, 144, 28, 28], f16)), {})
aten.add.Tensor
TIMM/tinynet_a
((T([128, 144, 48, 48], f16), T([128, 144, 48, 48], f16)), {})
aten.add.Tensor
TIMM/tf_efficientnet_b0
((T([128, 144, 56, 56], f16), T([128, 144, 56, 56], f16)), {})
aten.add.Tensor
TIMM/hrnet_w18
((T([128, 144, 7, 7], f16), T([128, 144, 7, 7], f16)), {})
aten.add.Tensor
TIMM/rexnet_100
((T([128, 151, 7, 7], f16), T([128, 151, 7, 7], f16)), {})
aten.add.Tensor
TIMM/rexnet_100
((T([128, 151, 7, 7], f16, stride=(7938, 49, 7, 1)), T([128, 151, 7, 7], f16)), {})
aten.add.Tensor
TIMM/regnety_002
((T([128, 152, 14, 14], f16), T([128, 152, 14, 14], f16)), {})
aten.add.Tensor
TIMM/selecsls42b
((T([128, 152, 14, 14], f16, stride=(119168, 196, 14, 1)), T([128, 152, 14, 14], f16)), {})
aten.add.Tensor
TIMM/selecsls42b
((T([128, 152, 14, 14], f16, stride=(178752, 196, 14, 1)), T([128, 152, 14, 14], f16)), {})
aten.add.Tensor
TIMM/dm_nfnet_f0
((T([128, 1536, 12, 12], f16), T([128, 1536, 12, 12], f16)), {})
aten.add.Tensor
TorchBench/timm_nfnet
((T([128, 1536, 12, 12], f16), T([128, 1536, 12, 12], f16)), {})
aten.add.Tensor
TIMM/nfnet_l0
((T([128, 1536, 14, 14], f16), T([128, 1536, 14, 14], f16)), {})
aten.add.Tensor
TIMM/dm_nfnet_f0
((T([128, 1536, 6, 6], f16), T([128, 1536, 6, 6], f16)), {})
aten.add.Tensor
TorchBench/timm_nfnet
((T([128, 1536, 6, 6], f16), T([128, 1536, 6, 6], f16)), {})
aten.add.Tensor
TIMM/nfnet_l0
((T([128, 1536, 7, 7], f16), T([128, 1536, 7, 7], f16)), {})
aten.add.Tensor
TIMM/fbnetc_100
((T([128, 16, 112, 112], f16), T([128, 16, 112, 112], f16)), {})
aten.add.Tensor
TIMM/fbnetv3_b
((T([128, 16, 112, 112], f16), T([128, 16, 112, 112], f16)), {})
aten.add.Tensor
TIMM/ghostnet_100
((T([128, 16, 112, 112], f16), T([128, 16, 112, 112], f16)), {})
aten.add.Tensor
TIMM/mobilenetv3_large_100
((T([128, 16, 112, 112], f16), T([128, 16, 112, 112], f16)), {})
aten.add.Tensor
TIMM/levit_128
((T([128, 16, 16, 49], f16), T([16, 16, 49], f16)), {})
aten.add.Tensor
TIMM/levit_128
((T([128, 16, 384], f16), T([128, 16, 384], f16)), {})
aten.add.Tensor
TIMM/ese_vovnet19b_dw
((T([128, 160, 28, 28], f16, stride=(577024, 784, 28, 1)), T([128, 160, 28, 28], f16)), {})
aten.add.Tensor
TIMM/ghostnet_100
((T([128, 160, 7, 7], f16), T([128, 160, 7, 7], f16)), {})
aten.add.Tensor
TIMM/mobilenetv2_100
((T([128, 160, 7, 7], f16), T([128, 160, 7, 7], f16)), {})
aten.add.Tensor
TIMM/mobilenetv3_large_100
((T([128, 160, 7, 7], f16), T([128, 160, 7, 7], f16)), {})
aten.add.Tensor
TIMM/rexnet_100
((T([128, 162, 7, 7], f16), T([128, 162, 7, 7], f16)), {})
aten.add.Tensor
TIMM/rexnet_100
((T([128, 162, 7, 7], f16, stride=(8526, 49, 7, 1)), T([128, 162, 7, 7], f16)), {})
aten.add.Tensor
TIMM/rexnet_100
((T([128, 174, 7, 7], f16), T([128, 174, 7, 7], f16)), {})
aten.add.Tensor
TIMM/rexnet_100
((T([128, 174, 7, 7], f16, stride=(9065, 49, 7, 1)), T([128, 174, 7, 7], f16)), {})
aten.add.Tensor
TIMM/hrnet_w18
((T([128, 18, 56, 56], f16), T([128, 18, 56, 56], f16)), {})
aten.add.Tensor
TIMM/fbnetc_100
((T([128, 184, 7, 7], f16), T([128, 184, 7, 7], f16)), {})
aten.add.Tensor
TIMM/fbnetv3_b
((T([128, 184, 7, 7], f16), T([128, 184, 7, 7], f16)), {})
aten.add.Tensor
TIMM/rexnet_100
((T([128, 185, 7, 7], f16), T([128, 185, 7, 7], f16)), {})
aten.add.Tensor
TIMM/ese_vovnet19b_dw
((T([128, 192, 14, 14], f16, stride=(213248, 196, 14, 1)), T([128, 192, 14, 14], f16)), {})
aten.add.Tensor
TIMM/visformer_small
((T([128, 192, 28, 28], f16), T([1, 192, 28, 28], f16)), {})
aten.add.Tensor
TIMM/repvgg_a2
((T([128, 192, 28, 28], f16), T([128, 192, 28, 28], f16)), {})
aten.add.Tensor
TIMM/visformer_small
((T([128, 192, 28, 28], f16), T([128, 192, 28, 28], f16)), {})
aten.add.Tensor
TIMM/gernet_l
((T([128, 192, 32, 32], f16), T([128, 192, 32, 32], f16)), {})
aten.add.Tensor
TIMM/adv_inception_v3
((T([128, 192, 35, 35], f16), T([128, 192, 35, 35], f16)), {})
aten.add.Tensor
TIMM/gluon_inception_v3
((T([128, 192, 35, 35], f16), T([128, 192, 35, 35], f16)), {})
aten.add.Tensor
TIMM/inception_v3
((T([128, 192, 35, 35], f16), T([128, 192, 35, 35], f16)), {})
aten.add.Tensor
TIMM/tinynet_a
((T([128, 192, 6, 6], f16), T([128, 192, 6, 6], f16)), {})
aten.add.Tensor
TIMM/hardcorenas_a
((T([128, 192, 7, 7], f16), T([128, 192, 7, 7], f16)), {})
aten.add.Tensor
TIMM/mnasnet_100
((T([128, 192, 7, 7], f16), T([128, 192, 7, 7], f16)), {})
aten.add.Tensor
TIMM/spnasnet_100
((T([128, 192, 7, 7], f16), T([128, 192, 7, 7], f16)), {})
aten.add.Tensor
TIMM/tf_efficientnet_b0
((T([128, 192, 7, 7], f16), T([128, 192, 7, 7], f16)), {})
aten.add.Tensor
TIMM/levit_128
((T([128, 196, 128], f16), T([128, 196, 128], f16)), {})
aten.add.Tensor
TIMM/levit_128
((T([128, 196, 128], f16, stride=(25088, 1, 196)), T([128, 196, 128], f16)), {})
aten.add.Tensor
TIMM/resmlp_12_224
((T([128, 196, 1536], f16), T([1536], f16)), {})
aten.add.Tensor
TIMM/resmlp_12_224
((T([128, 196, 384], f16), T([128, 196, 384], f16)), {})
aten.add.Tensor
TIMM/resmlp_12_224
((T([128, 196, 384], f16), T([128, 196, 384], f16, stride=(75264, 1, 196))), {})
aten.add.Tensor
TIMM/resmlp_12_224
((T([128, 196, 384], f16, stride=(75264, 1, 196)), T([128, 196, 384], f16)), {})
aten.add.Tensor
TIMM/resmlp_12_224
((T([128, 196, 384], f16, stride=(75264, 1, 196)), T([128, 196, 384], f16, stride=(75264, 1, 196))), {})
aten.add.Tensor
TIMM/coat_lite_mini
((T([128, 197, 320], f16), T([128, 197, 320], f16)), {})
aten.add.Tensor
TIMM/ghostnet_100
((T([128, 20, 28, 28], f16, stride=(31360, 784, 28, 1)), T([128, 20, 28, 28], f16)), {})
aten.add.Tensor
TIMM/res2net50_14w_8s
((T([128, 2048, 7, 7], f16), T([128, 2048, 7, 7], f16)), {})
aten.add.Tensor
TIMM/res2next50
((T([128, 2048, 7, 7], f16), T([128, 2048, 7, 7], f16)), {})
aten.add.Tensor
TIMM/adv_inception_v3
((T([128, 2048, 8, 8], f16), T([128, 2048, 8, 8], f16)), {})
aten.add.Tensor
TIMM/botnet26t_256
((T([128, 2048, 8, 8], f16), T([128, 2048, 8, 8], f16)), {})
aten.add.Tensor
TIMM/eca_botnext26ts_256
((T([128, 2048, 8, 8], f16), T([128, 2048, 8, 8], f16)), {})
aten.add.Tensor
TIMM/eca_halonext26ts
((T([128, 2048, 8, 8], f16), T([128, 2048, 8, 8], f16)), {})
aten.add.Tensor
TIMM/gluon_inception_v3
((T([128, 2048, 8, 8], f16), T([128, 2048, 8, 8], f16)), {})
aten.add.Tensor
TIMM/inception_v3
((T([128, 2048, 8, 8], f16), T([128, 2048, 8, 8], f16)), {})
aten.add.Tensor
TIMM/ese_vovnet19b_dw
((T([128, 224, 7, 7], f16, stride=(70560, 49, 7, 1)), T([128, 224, 7, 7], f16)), {})
aten.add.Tensor
TIMM/rexnet_100
((T([128, 228, 28, 28], f16), T([128, 228, 28, 28], f16)), {})
aten.add.Tensor
TorchBench/shufflenet_v2_x1_0
((T([128, 232, 14, 14], f16), T([128, 232, 14, 14], f16)), {})
aten.add.Tensor
TIMM/ghostnet_100
((T([128, 24, 112, 112], f16, stride=(602112, 12544, 112, 1)), T([128, 24, 112, 112], f16)), {})
aten.add.Tensor
TIMM/tinynet_a
((T([128, 24, 48, 48], f16), T([128, 24, 48, 48], f16)), {})
aten.add.Tensor
TIMM/fbnetc_100
((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16)), {})
aten.add.Tensor
TIMM/fbnetv3_b
((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16)), {})
aten.add.Tensor
TIMM/ghostnet_100
((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16)), {})
aten.add.Tensor
TIMM/hardcorenas_a
((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16)), {})
aten.add.Tensor
TIMM/mnasnet_100
((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16)), {})
aten.add.Tensor
TIMM/mobilenetv2_100
((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16)), {})
aten.add.Tensor
TIMM/mobilenetv3_large_100
((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16)), {})
aten.add.Tensor
TIMM/regnety_002
((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16)), {})
aten.add.Tensor
TIMM/spnasnet_100
((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16)), {})
aten.add.Tensor
TIMM/tf_efficientnet_b0
((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16)), {})
aten.add.Tensor
TorchBench/shufflenet_v2_x1_0
((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16)), {})
aten.add.Tensor
TIMM/tinynet_a
((T([128, 240, 12, 12], f16), T([128, 240, 12, 12], f16)), {})
aten.add.Tensor
TIMM/hardcorenas_a
((T([128, 240, 14, 14], f16), T([128, 240, 14, 14], f16)), {})
aten.add.Tensor
TIMM/tf_efficientnet_b0
((T([128, 240, 14, 14], f16), T([128, 240, 14, 14], f16)), {})
aten.add.Tensor
TIMM/ghostnet_100
((T([128, 240, 14, 14], f16, stride=(94080, 196, 14, 1)), T([128, 240, 14, 14], f16)), {})
aten.add.Tensor
TIMM/tinynet_a
((T([128, 240, 24, 24], f16), T([128, 240, 24, 24], f16)), {})
aten.add.Tensor
TIMM/hardcorenas_a
((T([128, 240, 28, 28], f16), T([128, 240, 28, 28], f16)), {})
aten.add.Tensor
TIMM/tf_efficientnet_b0
((T([128, 240, 28, 28], f16), T([128, 240, 28, 28], f16)), {})
aten.add.Tensor
TIMM/resnet18
((T([128, 256, 14, 14], f16), T([128, 256, 14, 14], f16)), {})
aten.add.Tensor
TIMM/eca_botnext26ts_256
((T([128, 256, 16, 16], f16), T([128, 256, 16, 16], f16)), {})