operator name
stringclasses 180
values | used in model
stringclasses 155
values | args
stringlengths 19
5.24k
|
|---|---|---|
aten.mul.Tensor
|
TorchBench/timm_efficientdet
|
((T([1, 672, 40, 40], f16), T([1, 672, 1, 1], f16)), {})
|
aten.mul.Tensor
|
TorchBench/timm_efficientdet
|
((T([1, 672, 40, 40], f16), T([1, 672, 40, 40], f16)), {})
|
aten.mul.Tensor
|
TorchBench/timm_efficientdet
|
((T([1, 88, 10, 10], f16), T([1, 88, 10, 10], f16)), {})
|
aten.mul.Tensor
|
TorchBench/timm_efficientdet
|
((T([1, 88, 10, 10], f16), T([], f16)), {})
|
aten.mul.Tensor
|
TorchBench/timm_efficientdet
|
((T([1, 88, 20, 20], f16), T([1, 88, 20, 20], f16)), {})
|
aten.mul.Tensor
|
TorchBench/timm_efficientdet
|
((T([1, 88, 20, 20], f16), T([], f16)), {})
|
aten.mul.Tensor
|
TorchBench/timm_efficientdet
|
((T([1, 88, 40, 40], f16), T([1, 88, 40, 40], f16)), {})
|
aten.mul.Tensor
|
TorchBench/timm_efficientdet
|
((T([1, 88, 40, 40], f16), T([], f16)), {})
|
aten.mul.Tensor
|
TorchBench/timm_efficientdet
|
((T([1, 88, 5, 5], f16), T([1, 88, 5, 5], f16)), {})
|
aten.mul.Tensor
|
TorchBench/timm_efficientdet
|
((T([1, 88, 5, 5], f16), T([], f16)), {})
|
aten.mul.Tensor
|
TorchBench/timm_efficientdet
|
((T([1, 88, 80, 80], f16), T([1, 88, 80, 80], f16)), {})
|
aten.mul.Tensor
|
TorchBench/timm_efficientdet
|
((T([1, 88, 80, 80], f16), T([], f16)), {})
|
aten.mul.Tensor
|
TorchBench/timm_efficientdet
|
((T([1, 96, 160, 160], f16), T([1, 96, 1, 1], f16)), {})
|
aten.mul.Tensor
|
TorchBench/timm_efficientdet
|
((T([1, 96, 160, 160], f16), T([1, 96, 160, 160], f16)), {})
|
aten.mul.Tensor
|
TorchBench/speech_transformer
|
((T([10, 204, 512], f16), T([10, 204, 1], f16)), {})
|
aten.mul.Tensor
|
TorchBench/speech_transformer
|
((T([10, 22, 512], f16), 22.627416997969522), {})
|
aten.mul.Tensor
|
TorchBench/speech_transformer
|
((T([10, 22, 512], f16), T([10, 22, 1], f32)), {})
|
aten.mul.Tensor
|
TorchBench/timm_efficientdet
|
((T([100, 4], f32), T([], f16)), {})
|
aten.mul.Tensor
|
TorchBench/timm_efficientdet
|
((T([100, 4], f32, stride=(0, 0)), T([], f16)), {})
|
aten.mul.Tensor
|
TorchBench/hf_BigBird
|
((T([1008], i64), 16), {})
|
aten.mul.Tensor
|
TIMM/eca_halonext26ts
|
((T([1024, 1, 64, 144], f16), 0.25), {})
|
aten.mul.Tensor
|
HuggingFace/XLNetLMHeadModel
|
((T([1024, 1], f32), T([1, 512], f32)), {})
|
aten.mul.Tensor
|
TIMM/eca_halonext26ts
|
((T([1024, 4, 16, 144], f16), 0.25), {})
|
aten.mul.Tensor
|
TIMM/eca_halonext26ts
|
((T([1024, 4, 64, 144], f16), 0.25), {})
|
aten.mul.Tensor
|
TIMM/swin_base_patch4_window7_224
|
((T([1024, 8, 49, 32], f16), 0.1767766952966369), {})
|
aten.mul.Tensor
|
TIMM/swin_base_patch4_window7_224
|
((T([1024, 8, 49, 32], f16, stride=(37632, 32, 768, 1)), 0.1767766952966369), {})
|
aten.mul.Tensor
|
TIMM/tnt_s_patch16_224
|
((T([12544, 4, 16, 16], f16), 0.408248290463863), {})
|
aten.mul.Tensor
|
TIMM/dm_nfnet_f0
|
((T([128, 1, 1, 1], f16), 0.02946278254943948), {})
|
aten.mul.Tensor
|
TorchBench/timm_nfnet
|
((T([128, 1, 1, 1], f16), 0.02946278254943948), {})
|
aten.mul.Tensor
|
TIMM/dm_nfnet_f0
|
((T([128, 1, 1, 1], f16), 0.041666666666666664), {})
|
aten.mul.Tensor
|
TorchBench/timm_nfnet
|
((T([128, 1, 1, 1], f16), 0.041666666666666664), {})
|
aten.mul.Tensor
|
TIMM/nfnet_l0
|
((T([128, 1, 1, 1], f16), 0.07450538873672485), {})
|
aten.mul.Tensor
|
TIMM/nfnet_l0
|
((T([128, 1, 1, 1], f16), 0.07902489841601695), {})
|
aten.mul.Tensor
|
TIMM/dm_nfnet_f0
|
((T([128, 1, 1, 1], f16), 0.08838834764831845), {})
|
aten.mul.Tensor
|
TorchBench/timm_nfnet
|
((T([128, 1, 1, 1], f16), 0.08838834764831845), {})
|
aten.mul.Tensor
|
TIMM/nfnet_l0
|
((T([128, 1, 1, 1], f16), 0.11175808310508728), {})
|
aten.mul.Tensor
|
TIMM/ese_vovnet19b_dw
|
((T([128, 1024, 7, 7], f16), T([128, 1024, 1, 1], f16)), {})
|
aten.mul.Tensor
|
TIMM/ese_vovnet19b_dw
|
((T([128, 1024, 7, 7], f16), T([128, 1024, 7, 7], f16)), {})
|
aten.mul.Tensor
|
TIMM/rexnet_100
|
((T([128, 1044, 7, 7], f16), T([128, 1044, 1, 1], f16)), {})
|
aten.mul.Tensor
|
TIMM/rexnet_100
|
((T([128, 1044, 7, 7], f16), T([128, 1044, 7, 7], f16)), {})
|
aten.mul.Tensor
|
TIMM/fbnetv3_b
|
((T([128, 1104, 7, 7], f16), T([128, 1104, 1, 1], f16)), {})
|
aten.mul.Tensor
|
TIMM/fbnetv3_b
|
((T([128, 1104, 7, 7], f16), T([128, 1104, 7, 7], f16)), {})
|
aten.mul.Tensor
|
TIMM/tinynet_a
|
((T([128, 1152, 6, 6], f16), T([128, 1152, 1, 1], f16)), {})
|
aten.mul.Tensor
|
TIMM/tinynet_a
|
((T([128, 1152, 6, 6], f16), T([128, 1152, 6, 6], f16)), {})
|
aten.mul.Tensor
|
TIMM/hardcorenas_a
|
((T([128, 1152, 7, 7], f16), T([128, 1152, 1, 1], f16)), {})
|
aten.mul.Tensor
|
TIMM/tf_efficientnet_b0
|
((T([128, 1152, 7, 7], f16), T([128, 1152, 1, 1], f16)), {})
|
aten.mul.Tensor
|
TIMM/hardcorenas_a
|
((T([128, 1152, 7, 7], f16), T([128, 1152, 7, 7], f16)), {})
|
aten.mul.Tensor
|
TIMM/tf_efficientnet_b0
|
((T([128, 1152, 7, 7], f16), T([128, 1152, 7, 7], f16)), {})
|
aten.mul.Tensor
|
TIMM/levit_128
|
((T([128, 12, 16, 16], f16), 0.25), {})
|
aten.mul.Tensor
|
TIMM/fbnetv3_b
|
((T([128, 120, 28, 28], f16), T([128, 120, 1, 1], f16)), {})
|
aten.mul.Tensor
|
TIMM/ghostnet_100
|
((T([128, 120, 28, 28], f16), T([128, 120, 1, 1], f16)), {})
|
aten.mul.Tensor
|
TIMM/mobilenetv3_large_100
|
((T([128, 120, 28, 28], f16), T([128, 120, 1, 1], f16)), {})
|
aten.mul.Tensor
|
TIMM/fbnetv3_b
|
((T([128, 120, 28, 28], f16), T([128, 120, 28, 28], f16)), {})
|
aten.mul.Tensor
|
TIMM/ghostnet_100
|
((T([128, 120, 28, 28], f16), T([128, 120, 28, 28], f16)), {})
|
aten.mul.Tensor
|
TIMM/mobilenetv3_large_100
|
((T([128, 120, 28, 28], f16), T([128, 120, 28, 28], f16)), {})
|
aten.mul.Tensor
|
TIMM/eca_botnext26ts_256
|
((T([128, 128, 32, 32], f16), T([128, 128, 32, 32], f16)), {})
|
aten.mul.Tensor
|
TIMM/eca_halonext26ts
|
((T([128, 128, 32, 32], f16), T([128, 128, 32, 32], f16)), {})
|
aten.mul.Tensor
|
TIMM/eca_botnext26ts_256
|
((T([128, 128, 32, 32], f16), T([128, 128, 32, 32], f16, stride=(128, 1, 0, 0))), {})
|
aten.mul.Tensor
|
TIMM/eca_halonext26ts
|
((T([128, 128, 32, 32], f16), T([128, 128, 32, 32], f16, stride=(128, 1, 0, 0))), {})
|
aten.mul.Tensor
|
TIMM/dm_nfnet_f0
|
((T([128, 128, 48, 48], f16), 1.0), {})
|
aten.mul.Tensor
|
TorchBench/timm_nfnet
|
((T([128, 128, 48, 48], f16), 1.0), {})
|
aten.mul.Tensor
|
TIMM/dm_nfnet_f0
|
((T([128, 128, 48, 48], f16), 1.7015043497085571), {})
|
aten.mul.Tensor
|
TorchBench/timm_nfnet
|
((T([128, 128, 48, 48], f16), 1.7015043497085571), {})
|
aten.mul.Tensor
|
TIMM/nfnet_l0
|
((T([128, 128, 56, 56], f16), 1.0), {})
|
aten.mul.Tensor
|
TIMM/lcnet_050
|
((T([128, 128, 7, 7], f16), T([128, 128, 1, 1], f16)), {})
|
aten.mul.Tensor
|
TIMM/lcnet_050
|
((T([128, 128, 7, 7], f16), T([128, 128, 7, 7], f16)), {})
|
aten.mul.Tensor
|
TIMM/tinynet_a
|
((T([128, 144, 24, 24], f16), T([128, 144, 1, 1], f16)), {})
|
aten.mul.Tensor
|
TIMM/tinynet_a
|
((T([128, 144, 24, 24], f16), T([128, 144, 24, 24], f16)), {})
|
aten.mul.Tensor
|
TIMM/tf_efficientnet_b0
|
((T([128, 144, 28, 28], f16), T([128, 144, 1, 1], f16)), {})
|
aten.mul.Tensor
|
TIMM/tf_efficientnet_b0
|
((T([128, 144, 28, 28], f16), T([128, 144, 28, 28], f16)), {})
|
aten.mul.Tensor
|
TIMM/tinynet_a
|
((T([128, 144, 48, 48], f16), T([128, 144, 1, 1], f16)), {})
|
aten.mul.Tensor
|
TIMM/tinynet_a
|
((T([128, 144, 48, 48], f16), T([128, 144, 48, 48], f16)), {})
|
aten.mul.Tensor
|
TIMM/tf_efficientnet_b0
|
((T([128, 144, 56, 56], f16), T([128, 144, 1, 1], f16)), {})
|
aten.mul.Tensor
|
TIMM/tf_efficientnet_b0
|
((T([128, 144, 56, 56], f16), T([128, 144, 56, 56], f16)), {})
|
aten.mul.Tensor
|
TIMM/regnety_002
|
((T([128, 152, 14, 14], f16), T([128, 152, 1, 1], f16)), {})
|
aten.mul.Tensor
|
TIMM/regnety_002
|
((T([128, 152, 14, 14], f16), T([128, 152, 14, 14], f16)), {})
|
aten.mul.Tensor
|
TIMM/dm_nfnet_f0
|
((T([128, 1536, 12, 12], f16), 0.2), {})
|
aten.mul.Tensor
|
TorchBench/timm_nfnet
|
((T([128, 1536, 12, 12], f16), 0.2), {})
|
aten.mul.Tensor
|
TIMM/dm_nfnet_f0
|
((T([128, 1536, 12, 12], f16), 0.8980265101338745), {})
|
aten.mul.Tensor
|
TorchBench/timm_nfnet
|
((T([128, 1536, 12, 12], f16), 0.8980265101338745), {})
|
aten.mul.Tensor
|
TIMM/dm_nfnet_f0
|
((T([128, 1536, 12, 12], f16), 0.9128709291752768), {})
|
aten.mul.Tensor
|
TorchBench/timm_nfnet
|
((T([128, 1536, 12, 12], f16), 0.9128709291752768), {})
|
aten.mul.Tensor
|
TIMM/dm_nfnet_f0
|
((T([128, 1536, 12, 12], f16), 0.9284766908852592), {})
|
aten.mul.Tensor
|
TorchBench/timm_nfnet
|
((T([128, 1536, 12, 12], f16), 0.9284766908852592), {})
|
aten.mul.Tensor
|
TIMM/dm_nfnet_f0
|
((T([128, 1536, 12, 12], f16), 0.9449111825230679), {})
|
aten.mul.Tensor
|
TorchBench/timm_nfnet
|
((T([128, 1536, 12, 12], f16), 0.9449111825230679), {})
|
aten.mul.Tensor
|
TIMM/dm_nfnet_f0
|
((T([128, 1536, 12, 12], f16), 0.9622504486493761), {})
|
aten.mul.Tensor
|
TorchBench/timm_nfnet
|
((T([128, 1536, 12, 12], f16), 0.9622504486493761), {})
|
aten.mul.Tensor
|
TIMM/dm_nfnet_f0
|
((T([128, 1536, 12, 12], f16), 0.9805806756909201), {})
|
aten.mul.Tensor
|
TorchBench/timm_nfnet
|
((T([128, 1536, 12, 12], f16), 0.9805806756909201), {})
|
aten.mul.Tensor
|
TIMM/dm_nfnet_f0
|
((T([128, 1536, 12, 12], f16), 1.7015043497085571), {})
|
aten.mul.Tensor
|
TorchBench/timm_nfnet
|
((T([128, 1536, 12, 12], f16), 1.7015043497085571), {})
|
aten.mul.Tensor
|
TIMM/dm_nfnet_f0
|
((T([128, 1536, 12, 12], f16), 2.0), {})
|
aten.mul.Tensor
|
TorchBench/timm_nfnet
|
((T([128, 1536, 12, 12], f16), 2.0), {})
|
aten.mul.Tensor
|
TIMM/dm_nfnet_f0
|
((T([128, 1536, 12, 12], f16), T([128, 1536, 1, 1], f16)), {})
|
aten.mul.Tensor
|
TorchBench/timm_nfnet
|
((T([128, 1536, 12, 12], f16), T([128, 1536, 1, 1], f16)), {})
|
aten.mul.Tensor
|
TIMM/dm_nfnet_f0
|
((T([128, 1536, 12, 12], f16), T([128, 1536, 12, 12], f16)), {})
|
aten.mul.Tensor
|
TorchBench/timm_nfnet
|
((T([128, 1536, 12, 12], f16), T([128, 1536, 12, 12], f16)), {})
|
aten.mul.Tensor
|
TIMM/dm_nfnet_f0
|
((T([128, 1536, 12, 12], f16), T([], f16)), {})
|
aten.mul.Tensor
|
TorchBench/timm_nfnet
|
((T([128, 1536, 12, 12], f16), T([], f16)), {})
|
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