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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