operator name
stringclasses
180 values
used in model
stringclasses
155 values
args
stringlengths
19
5.24k
aten.convolution.default
TIMM/spnasnet_100
((T([128, 288, 14, 14], f16), T([288, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 288), {})
aten.convolution.default
TIMM/spnasnet_100
((T([128, 288, 14, 14], f16), T([96, 288, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/selecsls42b
((T([128, 288, 28, 28], f16), T([144, 288, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/selecsls42b
((T([128, 288, 28, 28], f16), T([304, 288, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/adv_inception_v3
((T([128, 288, 35, 35], f16), T([384, 288, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gluon_inception_v3
((T([128, 288, 35, 35], f16), T([384, 288, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/inception_v3
((T([128, 288, 35, 35], f16), T([384, 288, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/adv_inception_v3
((T([128, 288, 35, 35], f16), T([48, 288, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gluon_inception_v3
((T([128, 288, 35, 35], f16), T([48, 288, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/inception_v3
((T([128, 288, 35, 35], f16), T([48, 288, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/adv_inception_v3
((T([128, 288, 35, 35], f16), T([64, 288, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gluon_inception_v3
((T([128, 288, 35, 35], f16), T([64, 288, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/inception_v3
((T([128, 288, 35, 35], f16), T([64, 288, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tinynet_a
((T([128, 3, 192, 192], f16), T([32, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/dm_nfnet_f0
((T([128, 3, 193, 193], f16), T([16, 3, 3, 3], f16), T([16], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_nfnet
((T([128, 3, 193, 193], f16), T([16, 3, 3, 3], f16), T([16], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetc_100
((T([128, 3, 224, 224], f16), T([16, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 3, 224, 224], f16), T([16, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 3, 224, 224], f16), T([16, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/levit_128
((T([128, 3, 224, 224], f16), T([16, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv3_large_100
((T([128, 3, 224, 224], f16), T([16, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/nfnet_l0
((T([128, 3, 224, 224], f16), T([16, 3, 3, 3], f16), T([16], f16), [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/shufflenet_v2_x1_0
((T([128, 3, 224, 224], f16), T([24, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hardcorenas_a
((T([128, 3, 224, 224], f16), T([32, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mnasnet_100
((T([128, 3, 224, 224], f16), T([32, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv2_100
((T([128, 3, 224, 224], f16), T([32, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/regnety_002
((T([128, 3, 224, 224], f16), T([32, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 3, 224, 224], f16), T([32, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/selecsls42b
((T([128, 3, 224, 224], f16), T([32, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/spnasnet_100
((T([128, 3, 224, 224], f16), T([32, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/visformer_small
((T([128, 3, 224, 224], f16), T([32, 3, 7, 7], f16), None, [2, 2], [3, 3], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/resmlp_12_224
((T([128, 3, 224, 224], f16), T([384, 3, 16, 16], f16), T([384], f16), [16, 16], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/repvgg_a2
((T([128, 3, 224, 224], f16), T([64, 3, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/alexnet
((T([128, 3, 224, 224], f16), T([64, 3, 11, 11], f16), T([64], f16), [4, 4], [2, 2], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ese_vovnet19b_dw
((T([128, 3, 224, 224], f16), T([64, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hrnet_w18
((T([128, 3, 224, 224], f16), T([64, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/repvgg_a2
((T([128, 3, 224, 224], f16), T([64, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/coat_lite_mini
((T([128, 3, 224, 224], f16), T([64, 3, 4, 4], f16), T([64], f16), [4, 4], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2net50_14w_8s
((T([128, 3, 224, 224], f16), T([64, 3, 7, 7], f16), None, [2, 2], [3, 3], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2next50
((T([128, 3, 224, 224], f16), T([64, 3, 7, 7], f16), None, [2, 2], [3, 3], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/resnet18
((T([128, 3, 224, 224], f16), T([64, 3, 7, 7], f16), None, [2, 2], [3, 3], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/lcnet_050
((T([128, 3, 224, 224], f16), T([8, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tf_efficientnet_b0
((T([128, 3, 225, 225], f16), T([32, 3, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/botnet26t_256
((T([128, 3, 256, 256], f16), T([24, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_botnext26ts_256
((T([128, 3, 256, 256], f16), T([24, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_halonext26ts
((T([128, 3, 256, 256], f16), T([24, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gernet_l
((T([128, 3, 256, 256], f16), T([32, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/adv_inception_v3
((T([128, 3, 299, 299], f16), T([32, 3, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gluon_inception_v3
((T([128, 3, 299, 299], f16), T([32, 3, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/inception_v3
((T([128, 3, 299, 299], f16), T([32, 3, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 30, 1, 1], f16), T([366, 30, 1, 1], f16), T([366], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 300, 1, 1], f16), T([25, 300, 1, 1], f16), T([25], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 300, 28, 28], f16), T([300, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 300), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 300, 28, 28], f16), T([61, 300, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/selecsls42b
((T([128, 304, 14, 14], f16), T([152, 304, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/selecsls42b
((T([128, 304, 14, 14], f16), T([304, 304, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/selecsls42b
((T([128, 304, 14, 14], f16), T([304, 304, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/visformer_small
((T([128, 3072, 7, 7], f16), T([768, 3072, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 32, 1, 1], f16), T([120, 32, 1, 1], f16), T([120], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv3_large_100
((T([128, 32, 1, 1], f16), T([120, 32, 1, 1], f16), T([120], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/lcnet_050
((T([128, 32, 1, 1], f16), T([128, 32, 1, 1], f16), T([128], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 32, 1, 1], f16), T([360, 32, 1, 1], f16), T([360], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 32, 1, 1], f16), T([720, 32, 1, 1], f16), T([720], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tf_efficientnet_b0
((T([128, 32, 1, 1], f16), T([8, 32, 1, 1], f16), T([8], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tinynet_a
((T([128, 32, 1, 1], f16), T([8, 32, 1, 1], f16), T([8], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hardcorenas_a
((T([128, 32, 112, 112], f16), T([16, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mnasnet_100
((T([128, 32, 112, 112], f16), T([16, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv2_100
((T([128, 32, 112, 112], f16), T([16, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 32, 112, 112], f16), T([16, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/spnasnet_100
((T([128, 32, 112, 112], f16), T([16, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tf_efficientnet_b0
((T([128, 32, 112, 112], f16), T([16, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/visformer_small
((T([128, 32, 112, 112], f16), T([192, 32, 4, 4], f16), T([192], f16), [4, 4], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/regnety_002
((T([128, 32, 112, 112], f16), T([24, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/regnety_002
((T([128, 32, 112, 112], f16), T([24, 32, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hardcorenas_a
((T([128, 32, 112, 112], f16), T([32, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 32), {})
aten.convolution.default
TIMM/mnasnet_100
((T([128, 32, 112, 112], f16), T([32, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 32), {})
aten.convolution.default
TIMM/mobilenetv2_100
((T([128, 32, 112, 112], f16), T([32, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 32), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 32, 112, 112], f16), T([32, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 32), {})
aten.convolution.default
TIMM/spnasnet_100
((T([128, 32, 112, 112], f16), T([32, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 32), {})
aten.convolution.default
TIMM/tf_efficientnet_b0
((T([128, 32, 112, 112], f16), T([32, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 32), {})
aten.convolution.default
TIMM/selecsls42b
((T([128, 32, 112, 112], f16), T([64, 32, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/nfnet_l0
((T([128, 32, 112, 112], f16), T([64, 32, 3, 3], f16), T([64], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gernet_l
((T([128, 32, 128, 128], f16), T([128, 32, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gernet_l
((T([128, 32, 128, 128], f16), T([128, 32, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/botnet26t_256
((T([128, 32, 128, 128], f16), T([64, 32, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_botnext26ts_256
((T([128, 32, 128, 128], f16), T([64, 32, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_halonext26ts
((T([128, 32, 128, 128], f16), T([64, 32, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/adv_inception_v3
((T([128, 32, 147, 147], f16), T([64, 32, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gluon_inception_v3
((T([128, 32, 147, 147], f16), T([64, 32, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/inception_v3
((T([128, 32, 147, 147], f16), T([64, 32, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/adv_inception_v3
((T([128, 32, 149, 149], f16), T([32, 32, 3, 3], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gluon_inception_v3
((T([128, 32, 149, 149], f16), T([32, 32, 3, 3], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/inception_v3
((T([128, 32, 149, 149], f16), T([32, 32, 3, 3], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetc_100
((T([128, 32, 28, 28], f16), T([192, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv2_100
((T([128, 32, 28, 28], f16), T([192, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/lcnet_050
((T([128, 32, 28, 28], f16), T([64, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetc_100
((T([128, 32, 28, 28], f16), T([96, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/coat_lite_mini
((T([128, 32, 28, 28], f16, stride=(301440, 1, 10752, 384)), T([32, 1, 3, 3], f16), T([32], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 32), {})
aten.convolution.default
TIMM/hrnet_w18
((T([128, 32, 56, 56], f16), T([128, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/lcnet_050
((T([128, 32, 56, 56], f16), T([32, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 32), {})