operator name stringclasses 180
values | used in model stringclasses 155
values | args stringlengths 19 5.24k |
|---|---|---|
aten.div.Scalar | TIMM/hrnet_w18 | ((T([128, 2048, 7, 7], f16, stride=(2048, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TIMM/res2net50_14w_8s | ((T([128, 2048, 7, 7], f16, stride=(2048, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TIMM/res2next50 | ((T([128, 2048, 7, 7], f16, stride=(2048, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TIMM/adv_inception_v3 | ((T([128, 2048, 8, 8], f16, stride=(2048, 1, 0, 0)), 64), {}) |
aten.div.Scalar | TIMM/botnet26t_256 | ((T([128, 2048, 8, 8], f16, stride=(2048, 1, 0, 0)), 64), {}) |
aten.div.Scalar | TIMM/eca_botnext26ts_256 | ((T([128, 2048, 8, 8], f16, stride=(2048, 1, 0, 0)), 64), {}) |
aten.div.Scalar | TIMM/eca_halonext26ts | ((T([128, 2048, 8, 8], f16, stride=(2048, 1, 0, 0)), 64), {}) |
aten.div.Scalar | TIMM/gluon_inception_v3 | ((T([128, 2048, 8, 8], f16, stride=(2048, 1, 0, 0)), 64), {}) |
aten.div.Scalar | TIMM/inception_v3 | ((T([128, 2048, 8, 8], f16, stride=(2048, 1, 0, 0)), 64), {}) |
aten.div.Scalar | TIMM/rexnet_100 | ((T([128, 228, 28, 28], f16, stride=(228, 1, 0, 0)), 784), {}) |
aten.div.Scalar | TIMM/nfnet_l0 | ((T([128, 2304, 7, 7], f16, stride=(2304, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TIMM/regnety_002 | ((T([128, 24, 56, 56], f16, stride=(24, 1, 0, 0)), 3136), {}) |
aten.div.Scalar | TIMM/tinynet_a | ((T([128, 240, 12, 12], f16, stride=(240, 1, 0, 0)), 144), {}) |
aten.div.Scalar | TIMM/hardcorenas_a | ((T([128, 240, 14, 14], f16, stride=(240, 1, 0, 0)), 196), {}) |
aten.div.Scalar | TIMM/tf_efficientnet_b0 | ((T([128, 240, 14, 14], f16, stride=(240, 1, 0, 0)), 196), {}) |
aten.div.Scalar | TIMM/tinynet_a | ((T([128, 240, 24, 24], f16, stride=(240, 1, 0, 0)), 576), {}) |
aten.div.Scalar | TIMM/hardcorenas_a | ((T([128, 240, 28, 28], f16, stride=(240, 1, 0, 0)), 784), {}) |
aten.div.Scalar | TIMM/tf_efficientnet_b0 | ((T([128, 240, 28, 28], f16, stride=(240, 1, 0, 0)), 784), {}) |
aten.div.Scalar | TIMM/eca_botnext26ts_256 | ((T([128, 256, 16, 16], f16, stride=(256, 1, 0, 0)), 256), {}) |
aten.div.Scalar | TIMM/eca_halonext26ts | ((T([128, 256, 16, 16], f16, stride=(256, 1, 0, 0)), 256), {}) |
aten.div.Scalar | TIMM/dm_nfnet_f0 | ((T([128, 256, 48, 48], f16, stride=(256, 1, 0, 0)), 2304), {}) |
aten.div.Scalar | TorchBench/timm_nfnet | ((T([128, 256, 48, 48], f16, stride=(256, 1, 0, 0)), 2304), {}) |
aten.div.Scalar | TIMM/ese_vovnet19b_dw | ((T([128, 256, 56, 56], f16, stride=(256, 1, 0, 0)), 3136), {}) |
aten.div.Scalar | TIMM/nfnet_l0 | ((T([128, 256, 56, 56], f16, stride=(256, 1, 0, 0)), 3136), {}) |
aten.div.Scalar | TIMM/lcnet_050 | ((T([128, 256, 7, 7], f16, stride=(256, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TIMM/gernet_l | ((T([128, 2560, 8, 8], f16, stride=(2560, 1, 0, 0)), 64), {}) |
aten.div.Scalar | TIMM/rexnet_100 | ((T([128, 300, 28, 28], f16, stride=(300, 1, 0, 0)), 784), {}) |
aten.div.Scalar | TIMM/dm_nfnet_f0 | ((T([128, 3072, 6, 6], f16, stride=(3072, 1, 0, 0)), 36), {}) |
aten.div.Scalar | TorchBench/timm_nfnet | ((T([128, 3072, 6, 6], f16, stride=(3072, 1, 0, 0)), 36), {}) |
aten.div.Scalar | TIMM/tf_efficientnet_b0 | ((T([128, 32, 112, 112], f16, stride=(32, 1, 0, 0)), 12544), {}) |
aten.div.Scalar | TIMM/tinynet_a | ((T([128, 32, 96, 96], f16, stride=(32, 1, 0, 0)), 9216), {}) |
aten.div.Scalar | TIMM/fbnetv3_b | ((T([128, 360, 14, 14], f16, stride=(360, 1, 0, 0)), 196), {}) |
aten.div.Scalar | TIMM/rexnet_100 | ((T([128, 366, 14, 14], f16, stride=(366, 1, 0, 0)), 196), {}) |
aten.div.Scalar | TIMM/regnety_002 | ((T([128, 368, 7, 7], f16, stride=(368, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TIMM/rexnet_100 | ((T([128, 432, 14, 14], f16, stride=(432, 1, 0, 0)), 196), {}) |
aten.div.Scalar | TIMM/tinynet_a | ((T([128, 480, 12, 12], f16, stride=(480, 1, 0, 0)), 144), {}) |
aten.div.Scalar | TIMM/ghostnet_100 | ((T([128, 480, 14, 14], f16, stride=(480, 1, 0, 0)), 196), {}) |
aten.div.Scalar | TIMM/hardcorenas_a | ((T([128, 480, 14, 14], f16, stride=(480, 1, 0, 0)), 196), {}) |
aten.div.Scalar | TIMM/mobilenetv3_large_100 | ((T([128, 480, 14, 14], f16, stride=(480, 1, 0, 0)), 196), {}) |
aten.div.Scalar | TIMM/tf_efficientnet_b0 | ((T([128, 480, 14, 14], f16, stride=(480, 1, 0, 0)), 196), {}) |
aten.div.Scalar | TIMM/rexnet_100 | ((T([128, 504, 14, 14], f16, stride=(504, 1, 0, 0)), 196), {}) |
aten.div.Scalar | TIMM/dm_nfnet_f0 | ((T([128, 512, 24, 24], f16, stride=(512, 1, 0, 0)), 576), {}) |
aten.div.Scalar | TorchBench/timm_nfnet | ((T([128, 512, 24, 24], f16, stride=(512, 1, 0, 0)), 576), {}) |
aten.div.Scalar | TIMM/ese_vovnet19b_dw | ((T([128, 512, 28, 28], f16, stride=(512, 1, 0, 0)), 784), {}) |
aten.div.Scalar | TIMM/nfnet_l0 | ((T([128, 512, 28, 28], f16, stride=(512, 1, 0, 0)), 784), {}) |
aten.div.Scalar | TIMM/resnet18 | ((T([128, 512, 7, 7], f16, stride=(512, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TIMM/regnety_002 | ((T([128, 56, 28, 28], f16, stride=(56, 1, 0, 0)), 784), {}) |
aten.div.Scalar | TIMM/rexnet_100 | ((T([128, 570, 14, 14], f16, stride=(570, 1, 0, 0)), 196), {}) |
aten.div.Scalar | TIMM/rexnet_100 | ((T([128, 636, 14, 14], f16, stride=(636, 1, 0, 0)), 196), {}) |
aten.div.Scalar | TIMM/eca_botnext26ts_256 | ((T([128, 64, 64, 64], f16, stride=(64, 1, 0, 0)), 4096), {}) |
aten.div.Scalar | TIMM/eca_halonext26ts | ((T([128, 64, 64, 64], f16, stride=(64, 1, 0, 0)), 4096), {}) |
aten.div.Scalar | TIMM/tinynet_a | ((T([128, 672, 12, 12], f16, stride=(672, 1, 0, 0)), 144), {}) |
aten.div.Scalar | TIMM/ghostnet_100 | ((T([128, 672, 14, 14], f16, stride=(672, 1, 0, 0)), 196), {}) |
aten.div.Scalar | TIMM/hardcorenas_a | ((T([128, 672, 14, 14], f16, stride=(672, 1, 0, 0)), 196), {}) |
aten.div.Scalar | TIMM/mobilenetv3_large_100 | ((T([128, 672, 14, 14], f16, stride=(672, 1, 0, 0)), 196), {}) |
aten.div.Scalar | TIMM/tf_efficientnet_b0 | ((T([128, 672, 14, 14], f16, stride=(672, 1, 0, 0)), 196), {}) |
aten.div.Scalar | TIMM/tinynet_a | ((T([128, 672, 6, 6], f16, stride=(672, 1, 0, 0)), 36), {}) |
aten.div.Scalar | TIMM/ghostnet_100 | ((T([128, 672, 7, 7], f16, stride=(672, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TIMM/hardcorenas_a | ((T([128, 672, 7, 7], f16, stride=(672, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TIMM/mobilenetv3_large_100 | ((T([128, 672, 7, 7], f16, stride=(672, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TIMM/tf_efficientnet_b0 | ((T([128, 672, 7, 7], f16, stride=(672, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TIMM/rexnet_100 | ((T([128, 702, 14, 14], f16, stride=(702, 1, 0, 0)), 196), {}) |
aten.div.Scalar | TIMM/ghostnet_100 | ((T([128, 72, 28, 28], f16, stride=(72, 1, 0, 0)), 784), {}) |
aten.div.Scalar | TIMM/mobilenetv3_large_100 | ((T([128, 72, 28, 28], f16, stride=(72, 1, 0, 0)), 784), {}) |
aten.div.Scalar | TIMM/hardcorenas_a | ((T([128, 72, 56, 56], f16, stride=(72, 1, 0, 0)), 3136), {}) |
aten.div.Scalar | TIMM/fbnetv3_b | ((T([128, 720, 7, 7], f16, stride=(720, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TIMM/fbnetv3_b | ((T([128, 736, 7, 7], f16, stride=(736, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TIMM/ese_vovnet19b_dw | ((T([128, 768, 14, 14], f16, stride=(768, 1, 0, 0)), 196), {}) |
aten.div.Scalar | TIMM/rexnet_100 | ((T([128, 768, 7, 7], f16, stride=(768, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TIMM/visformer_small | ((T([128, 768, 7, 7], f16, stride=(768, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TIMM/rexnet_100 | ((T([128, 840, 7, 7], f16, stride=(840, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TIMM/rexnet_100 | ((T([128, 906, 7, 7], f16, stride=(906, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TIMM/tinynet_a | ((T([128, 96, 48, 48], f16, stride=(96, 1, 0, 0)), 2304), {}) |
aten.div.Scalar | TIMM/tf_efficientnet_b0 | ((T([128, 96, 56, 56], f16, stride=(96, 1, 0, 0)), 3136), {}) |
aten.div.Scalar | TIMM/ghostnet_100 | ((T([128, 960, 7, 7], f16, stride=(960, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TIMM/hardcorenas_a | ((T([128, 960, 7, 7], f16, stride=(960, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TIMM/mobilenetv3_large_100 | ((T([128, 960, 7, 7], f16, stride=(960, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TIMM/rexnet_100 | ((T([128, 972, 7, 7], f16, stride=(972, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TorchBench/BERT_pytorch | ((T([16, 128, 768], f16, stride=(128, 1, 0)), 768), {}) |
aten.div.Scalar | TIMM/nasnetalarge | ((T([16, 4032, 11, 11], f16, stride=(4032, 1, 0, 0)), 121), {}) |
aten.div.Scalar | TIMM/pnasnet5large | ((T([16, 4320, 11, 11], f16, stride=(4320, 1, 0, 0)), 121), {}) |
aten.div.Scalar | TorchBench/resnet18 | ((T([16, 512, 7, 7], f16, stride=(512, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TIMM/crossvit_9_240 | ((T([2, 64, 1000], f16, stride=(0, 1000, 1)), 2), {}) |
aten.div.Scalar | TorchBench/squeezenet1_1 | ((T([32, 1000, 13, 13], f16, stride=(0, 0, 0, 0)), 169), {}) |
aten.div.Scalar | TIMM/gluon_senet154 | ((T([32, 1024, 14, 14], f16, stride=(1024, 1, 0, 0)), 196), {}) |
aten.div.Scalar | TIMM/legacy_senet154 | ((T([32, 1024, 14, 14], f16, stride=(1024, 1, 0, 0)), 196), {}) |
aten.div.Scalar | TIMM/convnext_base | ((T([32, 1024, 7, 7], f16, stride=(1024, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TorchBench/timm_vovnet | ((T([32, 1024, 7, 7], f16, stride=(1024, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TorchBench/timm_efficientnet | ((T([32, 1152, 7, 7], f16, stride=(1152, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TorchBench/mobilenet_v3_large | ((T([32, 120, 28, 28], f16, stride=(120, 1, 0, 0)), 784), {}) |
aten.div.Scalar | TIMM/resnest101e | ((T([32, 128, 32, 32], f16, stride=(128, 1, 0, 0)), 1024), {}) |
aten.div.Scalar | TorchBench/timm_resnest | ((T([32, 128, 56, 56], f16, stride=(128, 1, 0, 0)), 3136), {}) |
aten.div.Scalar | TIMM/convnext_base | ((T([32, 128, 56, 56], f16, stride=(3136, 0, 56, 1)), 128), {}) |
aten.div.Scalar | TIMM/resnest101e | ((T([32, 128, 64, 64], f16, stride=(128, 1, 0, 0)), 4096), {}) |
aten.div.Scalar | TorchBench/mnasnet1_0 | ((T([32, 1280, 7, 7], f16, stride=(1280, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TorchBench/timm_efficientnet | ((T([32, 1280, 7, 7], f16, stride=(1280, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TorchBench/timm_efficientnet | ((T([32, 144, 28, 28], f16, stride=(144, 1, 0, 0)), 784), {}) |
aten.div.Scalar | TorchBench/timm_efficientnet | ((T([32, 144, 56, 56], f16, stride=(144, 1, 0, 0)), 3136), {}) |
aten.div.Scalar | TIMM/gluon_xception65 | ((T([32, 2048, 10, 10], f16, stride=(2048, 1, 0, 0)), 100), {}) |
aten.div.Scalar | TIMM/gluon_senet154 | ((T([32, 2048, 7, 7], f16, stride=(2048, 1, 0, 0)), 49), {}) |
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