operator name stringclasses 180
values | used in model stringclasses 155
values | args stringlengths 19 5.24k |
|---|---|---|
aten.div.Scalar | TIMM/legacy_senet154 | ((T([32, 2048, 7, 7], f16, stride=(2048, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TIMM/swsl_resnext101_32x16d | ((T([32, 2048, 7, 7], f16, stride=(2048, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TorchBench/resnet50 | ((T([32, 2048, 7, 7], f16, stride=(2048, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TorchBench/timm_resnest | ((T([32, 2048, 7, 7], f16, stride=(2048, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TIMM/resnest101e | ((T([32, 2048, 8, 8], f16, stride=(2048, 1, 0, 0)), 64), {}) |
aten.div.Scalar | TorchBench/timm_regnet | ((T([32, 224, 56, 56], f16, stride=(224, 1, 0, 0)), 3136), {}) |
aten.div.Scalar | TorchBench/timm_regnet | ((T([32, 2240, 7, 7], f16, stride=(2240, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TorchBench/timm_efficientnet | ((T([32, 240, 14, 14], f16, stride=(240, 1, 0, 0)), 196), {}) |
aten.div.Scalar | TorchBench/timm_efficientnet | ((T([32, 240, 28, 28], f16, stride=(240, 1, 0, 0)), 784), {}) |
aten.div.Scalar | TIMM/resnest101e | ((T([32, 256, 16, 16], f16, stride=(256, 1, 0, 0)), 256), {}) |
aten.div.Scalar | TorchBench/timm_resnest | ((T([32, 256, 28, 28], f16, stride=(256, 1, 0, 0)), 784), {}) |
aten.div.Scalar | TIMM/convnext_base | ((T([32, 256, 28, 28], f16, stride=(784, 0, 28, 1)), 256), {}) |
aten.div.Scalar | TIMM/resnest101e | ((T([32, 256, 32, 32], f16, stride=(256, 1, 0, 0)), 1024), {}) |
aten.div.Scalar | TIMM/gluon_senet154 | ((T([32, 256, 56, 56], f16, stride=(256, 1, 0, 0)), 3136), {}) |
aten.div.Scalar | TIMM/legacy_senet154 | ((T([32, 256, 56, 56], f16, stride=(256, 1, 0, 0)), 3136), {}) |
aten.div.Scalar | TIMM/dpn107 | ((T([32, 2688, 7, 7], f16, stride=(2688, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TorchBench/timm_efficientnet | ((T([32, 32, 112, 112], f16, stride=(32, 1, 0, 0)), 12544), {}) |
aten.div.Scalar | TorchBench/timm_regnet | ((T([32, 448, 28, 28], f16, stride=(448, 1, 0, 0)), 784), {}) |
aten.div.Scalar | TorchBench/mobilenet_v3_large | ((T([32, 480, 14, 14], f16, stride=(480, 1, 0, 0)), 196), {}) |
aten.div.Scalar | TorchBench/timm_efficientnet | ((T([32, 480, 14, 14], f16, stride=(480, 1, 0, 0)), 196), {}) |
aten.div.Scalar | TIMM/twins_pcpvt_base | ((T([32, 49, 512], f16, stride=(512, 0, 1)), 49), {}) |
aten.div.Scalar | TIMM/convnext_base | ((T([32, 512, 14, 14], f16, stride=(196, 0, 14, 1)), 512), {}) |
aten.div.Scalar | TorchBench/timm_resnest | ((T([32, 512, 14, 14], f16, stride=(512, 1, 0, 0)), 196), {}) |
aten.div.Scalar | TIMM/resnest101e | ((T([32, 512, 16, 16], f16, stride=(512, 1, 0, 0)), 256), {}) |
aten.div.Scalar | TIMM/gluon_senet154 | ((T([32, 512, 28, 28], f16, stride=(512, 1, 0, 0)), 784), {}) |
aten.div.Scalar | TIMM/legacy_senet154 | ((T([32, 512, 28, 28], f16, stride=(512, 1, 0, 0)), 784), {}) |
aten.div.Scalar | TIMM/resnest101e | ((T([32, 512, 8, 8], f16, stride=(512, 1, 0, 0)), 64), {}) |
aten.div.Scalar | TorchBench/timm_resnest | ((T([32, 64, 56, 56], f16, stride=(64, 1, 0, 0)), 3136), {}) |
aten.div.Scalar | TIMM/resnest101e | ((T([32, 64, 64, 64], f16, stride=(64, 1, 0, 0)), 4096), {}) |
aten.div.Scalar | TorchBench/mobilenet_v3_large | ((T([32, 672, 14, 14], f16, stride=(672, 1, 0, 0)), 196), {}) |
aten.div.Scalar | TorchBench/timm_efficientnet | ((T([32, 672, 14, 14], f16, stride=(672, 1, 0, 0)), 196), {}) |
aten.div.Scalar | TorchBench/mobilenet_v3_large | ((T([32, 672, 7, 7], f16, stride=(672, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TorchBench/timm_efficientnet | ((T([32, 672, 7, 7], f16, stride=(672, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TorchBench/mobilenet_v3_large | ((T([32, 72, 28, 28], f16, stride=(72, 1, 0, 0)), 784), {}) |
aten.div.Scalar | TIMM/convmixer_768_32 | ((T([32, 768, 32, 32], f16, stride=(768, 1, 0, 0)), 1024), {}) |
aten.div.Scalar | TorchBench/timm_regnet | ((T([32, 896, 14, 14], f16, stride=(896, 1, 0, 0)), 196), {}) |
aten.div.Scalar | TorchBench/timm_efficientnet | ((T([32, 96, 56, 56], f16, stride=(96, 1, 0, 0)), 3136), {}) |
aten.div.Scalar | TorchBench/mobilenet_v3_large | ((T([32, 960, 7, 7], f16, stride=(960, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TorchBench/densenet121 | ((T([4, 1024, 7, 7], f16, stride=(1024, 1, 0, 0)), 49), {}) |
aten.div.Scalar | HuggingFace/OPTForCausalLM | ((T([4, 12, 128, 128], f16), 2), {}) |
aten.div.Scalar | HuggingFace/DebertaForMaskedLM | ((T([4, 512, 768], f32, stride=(512, 1, 0)), 768), {}) |
aten.div.Scalar | HuggingFace/DebertaForQuestionAnswering | ((T([4, 512, 768], f32, stride=(512, 1, 0)), 768), {}) |
aten.div.Scalar | TorchBench/timm_efficientdet | ((T([5000, 4], f32), 2), {}) |
aten.div.Scalar | TorchBench/timm_efficientdet | ((T([5000], f16), 2), {}) |
aten.div.Scalar | TorchBench/timm_efficientdet | ((T([5000], f32), 2.0), {}) |
aten.div.Scalar | TorchBench/Super_SloMo | ((T([6, 2, 351, 352], f16, stride=(0, 0, 0, 0)), 1482624), {}) |
aten.div.Scalar | TorchBench/Super_SloMo | ((T([6, 2, 352, 351], f16, stride=(0, 0, 0, 0)), 1482624), {}) |
aten.div.Scalar | TorchBench/Super_SloMo | ((T([6, 3, 352, 352], f16, stride=(0, 0, 0, 0)), 2230272), {}) |
aten.div.Scalar | TIMM/ecaresnet101d | ((T([64, 1024, 14, 14], f16, stride=(1024, 1, 0, 0)), 196), {}) |
aten.div.Scalar | TIMM/densenet121 | ((T([64, 1024, 7, 7], f16, stride=(1024, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TIMM/dla102 | ((T([64, 1024, 7, 7], f16, stride=(1024, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TIMM/cspdarknet53 | ((T([64, 1024, 8, 8], f16, stride=(1024, 1, 0, 0)), 64), {}) |
aten.div.Scalar | TIMM/sebotnet33ts_256 | ((T([64, 128, 32, 32], f16, stride=(128, 1, 0, 0)), 1024), {}) |
aten.div.Scalar | TIMM/sebotnet33ts_256 | ((T([64, 1280, 8, 8], f16, stride=(1280, 1, 0, 0)), 64), {}) |
aten.div.Scalar | TIMM/mixnet_l | ((T([64, 1536, 7, 7], f16, stride=(1536, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TIMM/tf_mixnet_l | ((T([64, 1536, 7, 7], f16, stride=(1536, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TIMM/mixnet_l | ((T([64, 1584, 7, 7], f16, stride=(1584, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TIMM/tf_mixnet_l | ((T([64, 1584, 7, 7], f16, stride=(1584, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TIMM/gmlp_s16_224 | ((T([64, 196, 256], f16, stride=(256, 0, 1)), 196), {}) |
aten.div.Scalar | TIMM/gmixer_24_224 | ((T([64, 196, 384], f16, stride=(384, 0, 1)), 196), {}) |
aten.div.Scalar | TIMM/beit_base_patch16_224 | ((T([64, 196, 768], f16, stride=(768, 0, 1)), 196), {}) |
aten.div.Scalar | TIMM/mixer_b16_224 | ((T([64, 196, 768], f16, stride=(768, 0, 1)), 196), {}) |
aten.div.Scalar | TIMM/ecaresnet101d | ((T([64, 2048, 7, 7], f16, stride=(2048, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TIMM/res2net101_26w_4s | ((T([64, 2048, 7, 7], f16, stride=(2048, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TIMM/mixnet_l | ((T([64, 240, 28, 28], f16, stride=(240, 1, 0, 0)), 784), {}) |
aten.div.Scalar | TIMM/tf_mixnet_l | ((T([64, 240, 28, 28], f16, stride=(240, 1, 0, 0)), 784), {}) |
aten.div.Scalar | TIMM/sebotnet33ts_256 | ((T([64, 256, 16, 16], f16, stride=(256, 1, 0, 0)), 256), {}) |
aten.div.Scalar | TIMM/ecaresnet101d | ((T([64, 256, 56, 56], f16, stride=(256, 1, 0, 0)), 3136), {}) |
aten.div.Scalar | TIMM/mixnet_l | ((T([64, 336, 14, 14], f16, stride=(336, 1, 0, 0)), 196), {}) |
aten.div.Scalar | TIMM/tf_mixnet_l | ((T([64, 336, 14, 14], f16, stride=(336, 1, 0, 0)), 196), {}) |
aten.div.Scalar | TIMM/mixnet_l | ((T([64, 336, 28, 28], f16, stride=(336, 1, 0, 0)), 784), {}) |
aten.div.Scalar | TIMM/tf_mixnet_l | ((T([64, 336, 28, 28], f16, stride=(336, 1, 0, 0)), 784), {}) |
aten.div.Scalar | TIMM/mixnet_l | ((T([64, 480, 14, 14], f16, stride=(480, 1, 0, 0)), 196), {}) |
aten.div.Scalar | TIMM/tf_mixnet_l | ((T([64, 480, 14, 14], f16, stride=(480, 1, 0, 0)), 196), {}) |
aten.div.Scalar | TIMM/swin_base_patch4_window7_224 | ((T([64, 49, 1024], f16, stride=(1024, 0, 1)), 49), {}) |
aten.div.Scalar | TIMM/jx_nest_base | ((T([64, 512, 14, 14], f16, stride=(512, 1, 0, 0)), 196), {}) |
aten.div.Scalar | TIMM/ecaresnet101d | ((T([64, 512, 28, 28], f16, stride=(512, 1, 0, 0)), 784), {}) |
aten.div.Scalar | TIMM/mixnet_l | ((T([64, 624, 14, 14], f16, stride=(624, 1, 0, 0)), 196), {}) |
aten.div.Scalar | TIMM/tf_mixnet_l | ((T([64, 624, 14, 14], f16, stride=(624, 1, 0, 0)), 196), {}) |
aten.div.Scalar | TIMM/sebotnet33ts_256 | ((T([64, 64, 64, 64], f16, stride=(64, 1, 0, 0)), 4096), {}) |
aten.div.Scalar | TIMM/mobilevit_s | ((T([64, 640, 8, 8], f16, stride=(640, 1, 0, 0)), 64), {}) |
aten.div.Scalar | TIMM/poolformer_m36 | ((T([64, 768, 7, 7], f16, stride=(768, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TIMM/mixnet_l | ((T([64, 960, 7, 7], f16, stride=(960, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TIMM/tf_mixnet_l | ((T([64, 960, 7, 7], f16, stride=(960, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TorchBench/resnext50_32x4d | ((T([8, 2048, 7, 7], f16, stride=(2048, 1, 0, 0)), 49), {}) |
aten.div.Scalar | TorchBench/mobilenet_v2 | ((T([96, 1280, 7, 7], f16, stride=(1280, 1, 0, 0)), 49), {}) |
aten.div.Tensor | TorchBench/vision_maskrcnn | ((T([0, 91], f16), 10.0), {}) |
aten.div.Tensor | TorchBench/vision_maskrcnn | ((T([0, 91], f16), 5.0), {}) |
aten.div.Tensor | TorchBench/vision_maskrcnn | ((T([0], f32), 224), {}) |
aten.div.Tensor | HuggingFace/CamemBert | ((T([1, 12, 512, 512], f16), 8.0), {}) |
aten.div.Tensor | HuggingFace/DistillGPT2 | ((T([1, 12, 512, 512], f16), T([], f16)), {}) |
aten.div.Tensor | HuggingFace/ElectraForCausalLM | ((T([1, 4, 512, 512], f16), 8.0), {}) |
aten.div.Tensor | HuggingFace/YituTechConvBert | ((T([1, 6, 512, 512], f16), 8.0), {}) |
aten.div.Tensor | TorchBench/timm_efficientdet | ((T([1, 88, 10, 10], f16), T([], f16)), {}) |
aten.div.Tensor | TorchBench/timm_efficientdet | ((T([1, 88, 20, 20], f16), T([], f16)), {}) |
aten.div.Tensor | TorchBench/timm_efficientdet | ((T([1, 88, 40, 40], f16), T([], f16)), {}) |
aten.div.Tensor | TorchBench/timm_efficientdet | ((T([1, 88, 5, 5], f16), T([], f16)), {}) |
aten.div.Tensor | TorchBench/timm_efficientdet | ((T([1, 88, 80, 80], f16), T([], f16)), {}) |
aten.div.Tensor | HuggingFace/AllenaiLongformerBase | ((T([1024, 1, 768], f16), 8.0), {}) |
aten.div.Tensor | TorchBench/hf_Longformer | ((T([1024, 2, 768], f16), 8.0), {}) |
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