operator name
stringclasses
180 values
used in model
stringclasses
155 values
args
stringlengths
19
5.24k
aten.convolution.default
TIMM/lcnet_050
((T([128, 32, 56, 56], f16), T([32, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 32), {})
aten.convolution.default
TIMM/lcnet_050
((T([128, 32, 56, 56], f16), T([32, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hrnet_w18
((T([128, 32, 56, 56], f16), T([32, 32, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2next50
((T([128, 32, 56, 56], f16), T([32, 4, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 8), {})
aten.convolution.default
TIMM/selecsls42b
((T([128, 32, 56, 56], f16), T([64, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/levit_128
((T([128, 32, 56, 56], f16), T([64, 32, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2next50
((T([128, 32, 56, 56], f16, stride=(401408, 3136, 56, 1)), T([32, 4, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 8), {})
aten.convolution.default
TIMM/tinynet_a
((T([128, 32, 96, 96], f16), T([16, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tinynet_a
((T([128, 32, 96, 96], f16), T([32, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 32), {})
aten.convolution.default
TIMM/dm_nfnet_f0
((T([128, 32, 96, 96], f16), T([64, 32, 3, 3], f16), T([64], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_nfnet
((T([128, 32, 96, 96], f16), T([64, 32, 3, 3], f16), T([64], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/coat_lite_mini
((T([128, 320, 14, 14], f16), T([512, 320, 2, 2], f16), T([512], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/coat_lite_mini
((T([128, 320, 14, 14], f16, stride=(63040, 1, 4480, 320)), T([320, 1, 3, 3], f16), T([320], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 320), {})
aten.convolution.default
TIMM/tinynet_a
((T([128, 320, 6, 6], f16), T([1280, 320, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mnasnet_100
((T([128, 320, 7, 7], f16), T([1280, 320, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv2_100
((T([128, 320, 7, 7], f16), T([1280, 320, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/spnasnet_100
((T([128, 320, 7, 7], f16), T([1280, 320, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tf_efficientnet_b0
((T([128, 320, 7, 7], f16), T([1280, 320, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetc_100
((T([128, 336, 14, 14], f16), T([112, 336, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 336, 14, 14], f16), T([336, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 336), {})
aten.convolution.default
TIMM/fbnetc_100
((T([128, 336, 14, 14], f16), T([336, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 336), {})
aten.convolution.default
TIMM/fbnetc_100
((T([128, 352, 7, 7], f16), T([1984, 352, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 36, 1, 1], f16), T([432, 36, 1, 1], f16), T([432], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hrnet_w18
((T([128, 36, 14, 14], f16), T([144, 36, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hrnet_w18
((T([128, 36, 28, 28], f16), T([18, 36, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hrnet_w18
((T([128, 36, 28, 28], f16), T([256, 36, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hrnet_w18
((T([128, 36, 28, 28], f16), T([36, 36, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hrnet_w18
((T([128, 36, 28, 28], f16), T([36, 36, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hrnet_w18
((T([128, 36, 28, 28], f16), T([64, 36, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hrnet_w18
((T([128, 36, 28, 28], f16), T([72, 36, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 36, 56, 56], f16), T([36, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 36), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 360, 1, 1], f16), T([24, 360, 1, 1], f16), T([24], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 360, 1, 1], f16), T([32, 360, 1, 1], f16), T([32], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 360, 14, 14], f16), T([120, 360, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 360, 14, 14], f16), T([360, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 360), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 360, 14, 14], f16), T([360, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 360), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 366, 1, 1], f16), T([30, 366, 1, 1], f16), T([30], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 366, 14, 14], f16), T([72, 366, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 366, 28, 28], f16), T([366, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 366), {})
aten.convolution.default
TIMM/regnety_002
((T([128, 368, 1, 1], f16), T([38, 368, 1, 1], f16), T([38], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/regnety_002
((T([128, 368, 1, 1], f16), T([92, 368, 1, 1], f16), T([92], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/regnety_002
((T([128, 368, 14, 14], f16), T([368, 8, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 46), {})
aten.convolution.default
TIMM/regnety_002
((T([128, 368, 7, 7], f16), T([368, 368, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/regnety_002
((T([128, 368, 7, 7], f16), T([368, 8, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 46), {})
aten.convolution.default
TIMM/regnety_002
((T([128, 38, 1, 1], f16), T([152, 38, 1, 1], f16), T([152], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/regnety_002
((T([128, 38, 1, 1], f16), T([368, 38, 1, 1], f16), T([368], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 38, 56, 56], f16), T([228, 38, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/nfnet_l0
((T([128, 384, 1, 1], f16), T([1536, 384, 1, 1], f16), T([1536], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/alexnet
((T([128, 384, 13, 13], f16), T([256, 384, 3, 3], f16), T([256], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetc_100
((T([128, 384, 14, 14], f16), T([112, 384, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/visformer_small
((T([128, 384, 14, 14], f16), T([1152, 384, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/repvgg_a2
((T([128, 384, 14, 14], f16), T([1408, 384, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/repvgg_a2
((T([128, 384, 14, 14], f16), T([1408, 384, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/visformer_small
((T([128, 384, 14, 14], f16), T([1536, 384, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/nfnet_l0
((T([128, 384, 14, 14], f16), T([1536, 384, 1, 1], f16), T([1536], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv2_100
((T([128, 384, 14, 14], f16), T([384, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 384), {})
aten.convolution.default
TIMM/fbnetc_100
((T([128, 384, 14, 14], f16), T([384, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 384), {})
aten.convolution.default
TIMM/repvgg_a2
((T([128, 384, 14, 14], f16), T([384, 384, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/visformer_small
((T([128, 384, 14, 14], f16), T([384, 384, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/repvgg_a2
((T([128, 384, 14, 14], f16), T([384, 384, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/nfnet_l0
((T([128, 384, 14, 14], f16), T([384, 64, 3, 3], f16), T([384], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 6), {})
aten.convolution.default
TIMM/nfnet_l0
((T([128, 384, 14, 14], f16), T([384, 64, 3, 3], f16), T([384], f16), [2, 2], [1, 1], [1, 1], False, [0, 0], 6), {})
aten.convolution.default
TIMM/fbnetc_100
((T([128, 384, 14, 14], f16), T([64, 384, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv2_100
((T([128, 384, 14, 14], f16), T([64, 384, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/visformer_small
((T([128, 384, 14, 14], f16), T([768, 384, 2, 2], f16), T([768], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv2_100
((T([128, 384, 14, 14], f16), T([96, 384, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/visformer_small
((T([128, 384, 28, 28], f16), T([192, 384, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/visformer_small
((T([128, 384, 28, 28], f16), T([384, 48, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 8), {})
aten.convolution.default
TIMM/nfnet_l0
((T([128, 384, 28, 28], f16), T([384, 64, 3, 3], f16), T([384], f16), [2, 2], [1, 1], [1, 1], False, [0, 0], 6), {})
aten.convolution.default
TIMM/nfnet_l0
((T([128, 384, 7, 7], f16), T([1536, 384, 1, 1], f16), T([1536], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/nfnet_l0
((T([128, 384, 7, 7], f16), T([384, 64, 3, 3], f16), T([384], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 6), {})
aten.convolution.default
TIMM/adv_inception_v3
((T([128, 384, 8, 8], f16), T([384, 384, 1, 3], f16), None, [1, 1], [0, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gluon_inception_v3
((T([128, 384, 8, 8], f16), T([384, 384, 1, 3], f16), None, [1, 1], [0, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/inception_v3
((T([128, 384, 8, 8], f16), T([384, 384, 1, 3], f16), None, [1, 1], [0, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/adv_inception_v3
((T([128, 384, 8, 8], f16), T([384, 384, 3, 1], f16), None, [1, 1], [1, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gluon_inception_v3
((T([128, 384, 8, 8], f16), T([384, 384, 3, 1], f16), None, [1, 1], [1, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/inception_v3
((T([128, 384, 8, 8], f16), T([384, 384, 3, 1], f16), None, [1, 1], [1, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tf_efficientnet_b0
((T([128, 4, 1, 1], f16), T([96, 4, 1, 1], f16), T([96], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tinynet_a
((T([128, 4, 1, 1], f16), T([96, 4, 1, 1], f16), T([96], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 40, 14, 14], f16), T([40, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 40), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 40, 14, 14], f16), T([80, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tinynet_a
((T([128, 40, 24, 24], f16), T([240, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 40, 28, 28], f16), T([120, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 40, 28, 28], f16), T([120, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mnasnet_100
((T([128, 40, 28, 28], f16), T([120, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv3_large_100
((T([128, 40, 28, 28], f16), T([120, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/spnasnet_100
((T([128, 40, 28, 28], f16), T([120, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 40, 28, 28], f16), T([200, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hardcorenas_a
((T([128, 40, 28, 28], f16), T([240, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mnasnet_100
((T([128, 40, 28, 28], f16), T([240, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv3_large_100
((T([128, 40, 28, 28], f16), T([240, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/spnasnet_100
((T([128, 40, 28, 28], f16), T([240, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tf_efficientnet_b0
((T([128, 40, 28, 28], f16), T([240, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 40, 28, 28], f16), T([40, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 40), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 40, 28, 28], f16), T([60, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 42, 1, 1], f16), T([504, 42, 1, 1], f16), T([504], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 432, 1, 1], f16), T([36, 432, 1, 1], f16), T([36], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 432, 14, 14], f16), T([432, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 432), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 432, 14, 14], f16), T([84, 432, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/selecsls42b
((T([128, 432, 28, 28], f16), T([288, 432, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})