operator name
stringclasses
180 values
used in model
stringclasses
155 values
args
stringlengths
19
5.24k
aten.mul.Tensor
TIMM/regnety_002
((T([128, 368, 7, 7], f16), T([128, 368, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/regnety_002
((T([128, 368, 7, 7], f16), T([128, 368, 7, 7], f16)), {})
aten.mul.Tensor
TIMM/levit_128
((T([128, 4, 196, 196], f16), 0.25), {})
aten.mul.Tensor
TIMM/rexnet_100
((T([128, 432, 14, 14], f16), T([128, 432, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/rexnet_100
((T([128, 432, 14, 14], f16), T([128, 432, 14, 14], f16)), {})
aten.mul.Tensor
TIMM/tinynet_a
((T([128, 480, 12, 12], f16), T([128, 480, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/tinynet_a
((T([128, 480, 12, 12], f16), T([128, 480, 12, 12], f16)), {})
aten.mul.Tensor
TIMM/ghostnet_100
((T([128, 480, 14, 14], f16), T([128, 480, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/hardcorenas_a
((T([128, 480, 14, 14], f16), T([128, 480, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/mobilenetv3_large_100
((T([128, 480, 14, 14], f16), T([128, 480, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/tf_efficientnet_b0
((T([128, 480, 14, 14], f16), T([128, 480, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/ghostnet_100
((T([128, 480, 14, 14], f16), T([128, 480, 14, 14], f16)), {})
aten.mul.Tensor
TIMM/hardcorenas_a
((T([128, 480, 14, 14], f16), T([128, 480, 14, 14], f16)), {})
aten.mul.Tensor
TIMM/mobilenetv3_large_100
((T([128, 480, 14, 14], f16), T([128, 480, 14, 14], f16)), {})
aten.mul.Tensor
TIMM/tf_efficientnet_b0
((T([128, 480, 14, 14], f16), T([128, 480, 14, 14], f16)), {})
aten.mul.Tensor
TIMM/rexnet_100
((T([128, 504, 14, 14], f16), T([128, 504, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/rexnet_100
((T([128, 504, 14, 14], f16), T([128, 504, 14, 14], f16)), {})
aten.mul.Tensor
TIMM/dm_nfnet_f0
((T([128, 512, 24, 24], f16), 0.2), {})
aten.mul.Tensor
TorchBench/timm_nfnet
((T([128, 512, 24, 24], f16), 0.2), {})
aten.mul.Tensor
TIMM/dm_nfnet_f0
((T([128, 512, 24, 24], f16), 0.9622504486493761), {})
aten.mul.Tensor
TorchBench/timm_nfnet
((T([128, 512, 24, 24], f16), 0.9622504486493761), {})
aten.mul.Tensor
TIMM/dm_nfnet_f0
((T([128, 512, 24, 24], f16), 0.9805806756909201), {})
aten.mul.Tensor
TorchBench/timm_nfnet
((T([128, 512, 24, 24], f16), 0.9805806756909201), {})
aten.mul.Tensor
TIMM/dm_nfnet_f0
((T([128, 512, 24, 24], f16), 1.7015043497085571), {})
aten.mul.Tensor
TorchBench/timm_nfnet
((T([128, 512, 24, 24], f16), 1.7015043497085571), {})
aten.mul.Tensor
TIMM/dm_nfnet_f0
((T([128, 512, 24, 24], f16), 2.0), {})
aten.mul.Tensor
TorchBench/timm_nfnet
((T([128, 512, 24, 24], f16), 2.0), {})
aten.mul.Tensor
TIMM/dm_nfnet_f0
((T([128, 512, 24, 24], f16), T([128, 512, 1, 1], f16)), {})
aten.mul.Tensor
TorchBench/timm_nfnet
((T([128, 512, 24, 24], f16), T([128, 512, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/dm_nfnet_f0
((T([128, 512, 24, 24], f16), T([128, 512, 24, 24], f16)), {})
aten.mul.Tensor
TorchBench/timm_nfnet
((T([128, 512, 24, 24], f16), T([128, 512, 24, 24], f16)), {})
aten.mul.Tensor
TIMM/dm_nfnet_f0
((T([128, 512, 24, 24], f16), T([], f16)), {})
aten.mul.Tensor
TorchBench/timm_nfnet
((T([128, 512, 24, 24], f16), T([], f16)), {})
aten.mul.Tensor
TIMM/nfnet_l0
((T([128, 512, 28, 28], f16), 0.2), {})
aten.mul.Tensor
TIMM/nfnet_l0
((T([128, 512, 28, 28], f16), 0.9622504486493761), {})
aten.mul.Tensor
TIMM/nfnet_l0
((T([128, 512, 28, 28], f16), 0.9805806756909201), {})
aten.mul.Tensor
TIMM/nfnet_l0
((T([128, 512, 28, 28], f16), 2.0), {})
aten.mul.Tensor
TIMM/ese_vovnet19b_dw
((T([128, 512, 28, 28], f16), T([128, 512, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/nfnet_l0
((T([128, 512, 28, 28], f16), T([128, 512, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/ese_vovnet19b_dw
((T([128, 512, 28, 28], f16), T([128, 512, 28, 28], f16)), {})
aten.mul.Tensor
TIMM/nfnet_l0
((T([128, 512, 28, 28], f16), T([128, 512, 28, 28], f16)), {})
aten.mul.Tensor
TIMM/regnety_002
((T([128, 56, 28, 28], f16), T([128, 56, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/regnety_002
((T([128, 56, 28, 28], f16), T([128, 56, 28, 28], f16)), {})
aten.mul.Tensor
TIMM/rexnet_100
((T([128, 570, 14, 14], f16), T([128, 570, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/rexnet_100
((T([128, 570, 14, 14], f16), T([128, 570, 14, 14], f16)), {})
aten.mul.Tensor
TIMM/visformer_small
((T([128, 6, 196, 196], f16), 0.125), {})
aten.mul.Tensor
TIMM/visformer_small
((T([128, 6, 49, 49], f16), 0.08838834764831845), {})
aten.mul.Tensor
TIMM/rexnet_100
((T([128, 636, 14, 14], f16), T([128, 636, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/rexnet_100
((T([128, 636, 14, 14], f16), T([128, 636, 14, 14], f16)), {})
aten.mul.Tensor
TIMM/eca_botnext26ts_256
((T([128, 64, 64, 64], f16), T([128, 64, 64, 64], f16)), {})
aten.mul.Tensor
TIMM/eca_halonext26ts
((T([128, 64, 64, 64], f16), T([128, 64, 64, 64], f16)), {})
aten.mul.Tensor
TIMM/eca_botnext26ts_256
((T([128, 64, 64, 64], f16), T([128, 64, 64, 64], f16, stride=(64, 1, 0, 0))), {})
aten.mul.Tensor
TIMM/eca_halonext26ts
((T([128, 64, 64, 64], f16), T([128, 64, 64, 64], f16, stride=(64, 1, 0, 0))), {})
aten.mul.Tensor
TIMM/dm_nfnet_f0
((T([128, 64, 96, 96], f16), 1.7015043497085571), {})
aten.mul.Tensor
TorchBench/timm_nfnet
((T([128, 64, 96, 96], f16), 1.7015043497085571), {})
aten.mul.Tensor
TIMM/tinynet_a
((T([128, 672, 12, 12], f16), T([128, 672, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/tinynet_a
((T([128, 672, 12, 12], f16), T([128, 672, 12, 12], f16)), {})
aten.mul.Tensor
TIMM/ghostnet_100
((T([128, 672, 14, 14], f16), T([128, 672, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/hardcorenas_a
((T([128, 672, 14, 14], f16), T([128, 672, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/mobilenetv3_large_100
((T([128, 672, 14, 14], f16), T([128, 672, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/tf_efficientnet_b0
((T([128, 672, 14, 14], f16), T([128, 672, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/ghostnet_100
((T([128, 672, 14, 14], f16), T([128, 672, 14, 14], f16)), {})
aten.mul.Tensor
TIMM/hardcorenas_a
((T([128, 672, 14, 14], f16), T([128, 672, 14, 14], f16)), {})
aten.mul.Tensor
TIMM/mobilenetv3_large_100
((T([128, 672, 14, 14], f16), T([128, 672, 14, 14], f16)), {})
aten.mul.Tensor
TIMM/tf_efficientnet_b0
((T([128, 672, 14, 14], f16), T([128, 672, 14, 14], f16)), {})
aten.mul.Tensor
TIMM/tinynet_a
((T([128, 672, 6, 6], f16), T([128, 672, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/tinynet_a
((T([128, 672, 6, 6], f16), T([128, 672, 6, 6], f16)), {})
aten.mul.Tensor
TIMM/ghostnet_100
((T([128, 672, 7, 7], f16), T([128, 672, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/hardcorenas_a
((T([128, 672, 7, 7], f16), T([128, 672, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/mobilenetv3_large_100
((T([128, 672, 7, 7], f16), T([128, 672, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/tf_efficientnet_b0
((T([128, 672, 7, 7], f16), T([128, 672, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/ghostnet_100
((T([128, 672, 7, 7], f16), T([128, 672, 7, 7], f16)), {})
aten.mul.Tensor
TIMM/hardcorenas_a
((T([128, 672, 7, 7], f16), T([128, 672, 7, 7], f16)), {})
aten.mul.Tensor
TIMM/mobilenetv3_large_100
((T([128, 672, 7, 7], f16), T([128, 672, 7, 7], f16)), {})
aten.mul.Tensor
TIMM/tf_efficientnet_b0
((T([128, 672, 7, 7], f16), T([128, 672, 7, 7], f16)), {})
aten.mul.Tensor
TIMM/rexnet_100
((T([128, 702, 14, 14], f16), T([128, 702, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/rexnet_100
((T([128, 702, 14, 14], f16), T([128, 702, 14, 14], f16)), {})
aten.mul.Tensor
TIMM/ghostnet_100
((T([128, 72, 28, 28], f16), T([128, 72, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/mobilenetv3_large_100
((T([128, 72, 28, 28], f16), T([128, 72, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/ghostnet_100
((T([128, 72, 28, 28], f16), T([128, 72, 28, 28], f16)), {})
aten.mul.Tensor
TIMM/mobilenetv3_large_100
((T([128, 72, 28, 28], f16), T([128, 72, 28, 28], f16)), {})
aten.mul.Tensor
TIMM/hardcorenas_a
((T([128, 72, 56, 56], f16), T([128, 72, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/hardcorenas_a
((T([128, 72, 56, 56], f16), T([128, 72, 56, 56], f16)), {})
aten.mul.Tensor
TIMM/fbnetv3_b
((T([128, 720, 7, 7], f16), T([128, 720, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/fbnetv3_b
((T([128, 720, 7, 7], f16), T([128, 720, 7, 7], f16)), {})
aten.mul.Tensor
TIMM/fbnetv3_b
((T([128, 736, 7, 7], f16), T([128, 736, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/fbnetv3_b
((T([128, 736, 7, 7], f16), T([128, 736, 7, 7], f16)), {})
aten.mul.Tensor
TIMM/dm_nfnet_f0
((T([128, 768, 12, 12], f16), 1.7015043497085571), {})
aten.mul.Tensor
TorchBench/timm_nfnet
((T([128, 768, 12, 12], f16), 1.7015043497085571), {})
aten.mul.Tensor
TIMM/ese_vovnet19b_dw
((T([128, 768, 14, 14], f16), T([128, 768, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/ese_vovnet19b_dw
((T([128, 768, 14, 14], f16), T([128, 768, 14, 14], f16)), {})
aten.mul.Tensor
TIMM/dm_nfnet_f0
((T([128, 768, 24, 24], f16), 1.7015043497085571), {})
aten.mul.Tensor
TorchBench/timm_nfnet
((T([128, 768, 24, 24], f16), 1.7015043497085571), {})
aten.mul.Tensor
TIMM/dm_nfnet_f0
((T([128, 768, 6, 6], f16), 1.7015043497085571), {})
aten.mul.Tensor
TorchBench/timm_nfnet
((T([128, 768, 6, 6], f16), 1.7015043497085571), {})
aten.mul.Tensor
TIMM/rexnet_100
((T([128, 768, 7, 7], f16), T([128, 768, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/rexnet_100
((T([128, 768, 7, 7], f16), T([128, 768, 7, 7], f16)), {})
aten.mul.Tensor
TIMM/coat_lite_mini
((T([128, 8, 196, 40], f16, stride=(189120, 40, 960, 1)), T([128, 8, 196, 40], f16, stride=(62720, 7840, 1, 196))), {})
aten.mul.Tensor
TIMM/coat_lite_mini
((T([128, 8, 196, 40], f16, stride=(62720, 40, 320, 1)), T([128, 8, 196, 40], f16, stride=(189120, 40, 960, 1))), {})
aten.mul.Tensor
TIMM/coat_lite_mini
((T([128, 8, 196, 40], f16, stride=(62720, 40, 320, 1)), T([128, 8, 196, 40], f16, stride=(62720, 7840, 1, 196))), {})