operator name stringclasses 180
values | used in model stringclasses 155
values | args stringlengths 19 5.24k |
|---|---|---|
aten.mean.dim | TIMM/tinynet_a | ((T([128, 240, 12, 12], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/hardcorenas_a | ((T([128, 240, 14, 14], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/tf_efficientnet_b0 | ((T([128, 240, 14, 14], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/tinynet_a | ((T([128, 240, 24, 24], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/hardcorenas_a | ((T([128, 240, 28, 28], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/tf_efficientnet_b0 | ((T([128, 240, 28, 28], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/eca_botnext26ts_256 | ((T([128, 256, 16, 16], f16), [2, 3]), {}) |
aten.mean.dim | TIMM/eca_halonext26ts | ((T([128, 256, 16, 16], f16), [2, 3]), {}) |
aten.mean.dim | TIMM/dm_nfnet_f0 | ((T([128, 256, 48, 48], f16), [2, 3], True), {}) |
aten.mean.dim | TorchBench/timm_nfnet | ((T([128, 256, 48, 48], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/ese_vovnet19b_dw | ((T([128, 256, 56, 56], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/nfnet_l0 | ((T([128, 256, 56, 56], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/lcnet_050 | ((T([128, 256, 7, 7], f16), [-1, -2], True), {}) |
aten.mean.dim | TIMM/lcnet_050 | ((T([128, 256, 7, 7], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/gernet_l | ((T([128, 2560, 8, 8], f16), [-1, -2], True), {}) |
aten.mean.dim | TIMM/rexnet_100 | ((T([128, 300, 28, 28], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/dm_nfnet_f0 | ((T([128, 3072, 6, 6], f16), [-1, -2], True), {}) |
aten.mean.dim | TorchBench/timm_nfnet | ((T([128, 3072, 6, 6], f16), [-1, -2], True), {}) |
aten.mean.dim | TIMM/tf_efficientnet_b0 | ((T([128, 32, 112, 112], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/tinynet_a | ((T([128, 32, 96, 96], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/fbnetv3_b | ((T([128, 360, 14, 14], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/rexnet_100 | ((T([128, 366, 14, 14], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/regnety_002 | ((T([128, 368, 7, 7], f16), [-1, -2], True), {}) |
aten.mean.dim | TIMM/regnety_002 | ((T([128, 368, 7, 7], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/rexnet_100 | ((T([128, 432, 14, 14], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/tinynet_a | ((T([128, 480, 12, 12], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/ghostnet_100 | ((T([128, 480, 14, 14], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/hardcorenas_a | ((T([128, 480, 14, 14], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/mobilenetv3_large_100 | ((T([128, 480, 14, 14], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/tf_efficientnet_b0 | ((T([128, 480, 14, 14], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/rexnet_100 | ((T([128, 504, 14, 14], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/dm_nfnet_f0 | ((T([128, 512, 24, 24], f16), [2, 3], True), {}) |
aten.mean.dim | TorchBench/timm_nfnet | ((T([128, 512, 24, 24], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/ese_vovnet19b_dw | ((T([128, 512, 28, 28], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/nfnet_l0 | ((T([128, 512, 28, 28], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/resnet18 | ((T([128, 512, 7, 7], f16), [-1, -2], True), {}) |
aten.mean.dim | TIMM/regnety_002 | ((T([128, 56, 28, 28], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/rexnet_100 | ((T([128, 570, 14, 14], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/rexnet_100 | ((T([128, 636, 14, 14], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/eca_botnext26ts_256 | ((T([128, 64, 64, 64], f16), [2, 3]), {}) |
aten.mean.dim | TIMM/eca_halonext26ts | ((T([128, 64, 64, 64], f16), [2, 3]), {}) |
aten.mean.dim | TIMM/tinynet_a | ((T([128, 672, 12, 12], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/ghostnet_100 | ((T([128, 672, 14, 14], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/hardcorenas_a | ((T([128, 672, 14, 14], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/mobilenetv3_large_100 | ((T([128, 672, 14, 14], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/tf_efficientnet_b0 | ((T([128, 672, 14, 14], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/tinynet_a | ((T([128, 672, 6, 6], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/ghostnet_100 | ((T([128, 672, 7, 7], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/hardcorenas_a | ((T([128, 672, 7, 7], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/mobilenetv3_large_100 | ((T([128, 672, 7, 7], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/tf_efficientnet_b0 | ((T([128, 672, 7, 7], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/rexnet_100 | ((T([128, 702, 14, 14], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/ghostnet_100 | ((T([128, 72, 28, 28], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/mobilenetv3_large_100 | ((T([128, 72, 28, 28], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/hardcorenas_a | ((T([128, 72, 56, 56], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/fbnetv3_b | ((T([128, 720, 7, 7], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/fbnetv3_b | ((T([128, 736, 7, 7], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/ese_vovnet19b_dw | ((T([128, 768, 14, 14], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/visformer_small | ((T([128, 768, 7, 7], f16), [-1, -2], True), {}) |
aten.mean.dim | TIMM/rexnet_100 | ((T([128, 768, 7, 7], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/rexnet_100 | ((T([128, 840, 7, 7], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/rexnet_100 | ((T([128, 906, 7, 7], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/tinynet_a | ((T([128, 96, 48, 48], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/tf_efficientnet_b0 | ((T([128, 96, 56, 56], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/ghostnet_100 | ((T([128, 960, 7, 7], f16), [-1, -2], True), {}) |
aten.mean.dim | TIMM/hardcorenas_a | ((T([128, 960, 7, 7], f16), [-1, -2], True), {}) |
aten.mean.dim | TIMM/mobilenetv3_large_100 | ((T([128, 960, 7, 7], f16), [-1, -2], True), {}) |
aten.mean.dim | TIMM/ghostnet_100 | ((T([128, 960, 7, 7], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/mobilenetv3_large_100 | ((T([128, 960, 7, 7], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/rexnet_100 | ((T([128, 972, 7, 7], f16), [2, 3], True), {}) |
aten.mean.dim | TorchBench/BERT_pytorch | ((T([16, 128, 768], f16), [-1], True), {}) |
aten.mean.dim | TorchBench/pytorch_stargan | ((T([16, 128], f16), [0]), {}) |
aten.mean.dim | TorchBench/pytorch_stargan | ((T([16, 256], f16), [0]), {}) |
aten.mean.dim | TIMM/nasnetalarge | ((T([16, 4032, 11, 11], f16), [-1, -2], True), {}) |
aten.mean.dim | TIMM/pnasnet5large | ((T([16, 4320, 11, 11], f16), [-1, -2], True), {}) |
aten.mean.dim | TorchBench/resnet18 | ((T([16, 512, 7, 7], f16), [-1, -2], True), {}) |
aten.mean.dim | TorchBench/pytorch_stargan | ((T([16, 64], f16), [0]), {}) |
aten.mean.dim | TIMM/crossvit_9_240 | ((T([2, 64, 1000], f16), [0]), {}) |
aten.mean.dim | TorchBench/squeezenet1_1 | ((T([32, 1000, 13, 13], f16), [-1, -2], True), {}) |
aten.mean.dim | TIMM/gluon_senet154 | ((T([32, 1024, 14, 14], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/legacy_senet154 | ((T([32, 1024, 14, 14], f16), [2, 3], True), {}) |
aten.mean.dim | TorchBench/timm_vovnet | ((T([32, 1024, 7, 7], f16), [-1, -2], True), {}) |
aten.mean.dim | TIMM/convnext_base | ((T([32, 1024, 7, 7], f16, stride=(50176, 1, 7168, 1024)), [-1, -2], True), {}) |
aten.mean.dim | TorchBench/timm_efficientnet | ((T([32, 1152, 7, 7], f16), [2, 3], True), {}) |
aten.mean.dim | TorchBench/mobilenet_v3_large | ((T([32, 120, 28, 28], f16), [-1, -2], True), {}) |
aten.mean.dim | TIMM/resnest101e | ((T([32, 128, 32, 32], f16), [2, 3], True), {}) |
aten.mean.dim | TorchBench/timm_resnest | ((T([32, 128, 56, 56], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/convnext_base | ((T([32, 128, 56, 56], f16, stride=(401408, 1, 7168, 128)), [1], True), {}) |
aten.mean.dim | TIMM/resnest101e | ((T([32, 128, 64, 64], f16), [2, 3], True), {}) |
aten.mean.dim | TorchBench/timm_efficientnet | ((T([32, 1280, 7, 7], f16), [-1, -2], True), {}) |
aten.mean.dim | TorchBench/mnasnet1_0 | ((T([32, 1280, 7, 7], f16), [2, 3]), {}) |
aten.mean.dim | TorchBench/timm_efficientnet | ((T([32, 144, 28, 28], f16), [2, 3], True), {}) |
aten.mean.dim | TorchBench/timm_efficientnet | ((T([32, 144, 56, 56], f16), [2, 3], True), {}) |
aten.mean.dim | TIMM/gluon_xception65 | ((T([32, 2048, 10, 10], f16), [-1, -2], True), {}) |
aten.mean.dim | TIMM/gluon_senet154 | ((T([32, 2048, 7, 7], f16), [-1, -2], True), {}) |
aten.mean.dim | TIMM/legacy_senet154 | ((T([32, 2048, 7, 7], f16), [-1, -2], True), {}) |
aten.mean.dim | TIMM/swsl_resnext101_32x16d | ((T([32, 2048, 7, 7], f16), [-1, -2], True), {}) |
aten.mean.dim | TorchBench/resnet50 | ((T([32, 2048, 7, 7], f16), [-1, -2], True), {}) |
aten.mean.dim | TorchBench/timm_resnest | ((T([32, 2048, 7, 7], f16), [-1, -2], True), {}) |
aten.mean.dim | TIMM/gluon_senet154 | ((T([32, 2048, 7, 7], f16), [2, 3], True), {}) |
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