operator name stringclasses 180
values | used in model stringclasses 155
values | args stringlengths 19 5.24k |
|---|---|---|
aten.convolution.default | TorchBench/timm_vovnet | ((T([32, 128, 56, 56], f16), T([128, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/resnet50 | ((T([32, 128, 56, 56], f16), T([128, 128, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/dpn107 | ((T([32, 128, 56, 56], f16), T([200, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/gluon_senet154 | ((T([32, 128, 56, 56], f16), T([256, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/legacy_senet154 | ((T([32, 128, 56, 56], f16), T([256, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/gluon_senet154 | ((T([32, 128, 56, 56], f16), T([256, 2, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 64), {}) |
aten.convolution.default | TIMM/legacy_senet154 | ((T([32, 128, 56, 56], f16), T([256, 2, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 64), {}) |
aten.convolution.default | TorchBench/timm_resnest | ((T([32, 128, 56, 56], f16), T([256, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 2), {}) |
aten.convolution.default | TIMM/dpn107 | ((T([32, 128, 56, 56], f16), T([296, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/convnext_base | ((T([32, 128, 56, 56], f16, stride=(401408, 1, 7168, 128)), T([128, 1, 7, 7], f16), T([128], f16), [1, 1], [3, 3], [1, 1], False, [0, 0], 128), {}) |
aten.convolution.default | TIMM/convnext_base | ((T([32, 128, 56, 56], f16, stride=(401408, 1, 7168, 128)), T([256, 128, 2, 2], f16), T([256], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/resnest101e | ((T([32, 128, 64, 64], f16), T([256, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/resnest101e | ((T([32, 128, 64, 64], f16), T([256, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 2), {}) |
aten.convolution.default | TIMM/resnest101e | ((T([32, 128, 64, 64], f16), T([64, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/gluon_xception65 | ((T([32, 128, 75, 75], f16), T([128, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 128), {}) |
aten.convolution.default | TIMM/gluon_xception65 | ((T([32, 128, 75, 75], f16), T([128, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/gluon_xception65 | ((T([32, 128, 75, 75], f16), T([256, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/gluon_xception65 | ((T([32, 128, 75, 75], f16), T([256, 128, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/dpn107 | ((T([32, 1280, 14, 14], f16), T([800, 1280, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/dpn107 | ((T([32, 1344, 14, 14], f16), T([800, 1344, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/dpn107 | ((T([32, 1408, 14, 14], f16), T([800, 1408, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_efficientnet | ((T([32, 144, 1, 1], f16), T([6, 144, 1, 1], f16), T([6], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_efficientnet | ((T([32, 144, 28, 28], f16), T([40, 144, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_efficientnet | ((T([32, 144, 56, 56], f16), T([144, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 144), {}) |
aten.convolution.default | TorchBench/timm_efficientnet | ((T([32, 144, 56, 56], f16), T([144, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 144), {}) |
aten.convolution.default | TorchBench/timm_efficientnet | ((T([32, 144, 56, 56], f16), T([24, 144, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_vovnet | ((T([32, 1472, 14, 14], f16), T([768, 1472, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/dpn107 | ((T([32, 1472, 14, 14], f16), T([800, 1472, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/gluon_xception65 | ((T([32, 1536, 10, 10], f16), T([1536, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1536), {}) |
aten.convolution.default | TIMM/gluon_xception65 | ((T([32, 1536, 10, 10], f16), T([1536, 1536, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/gluon_xception65 | ((T([32, 1536, 10, 10], f16), T([2048, 1536, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/dpn107 | ((T([32, 1536, 14, 14], f16), T([800, 1536, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/gluon_senet154 | ((T([32, 16, 1, 1], f16), T([256, 16, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/legacy_senet154 | ((T([32, 16, 1, 1], f16), T([256, 16, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mobilenet_v3_large | ((T([32, 16, 112, 112], f16), T([16, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 16), {}) |
aten.convolution.default | TorchBench/mobilenet_v3_large | ((T([32, 16, 112, 112], f16), T([16, 16, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mnasnet1_0 | ((T([32, 16, 112, 112], f16), T([48, 16, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mobilenet_v3_large | ((T([32, 16, 112, 112], f16), T([64, 16, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_efficientnet | ((T([32, 16, 112, 112], f16), T([96, 16, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/squeezenet1_1 | ((T([32, 16, 55, 55], f16), T([64, 16, 1, 1], f16), T([64], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/squeezenet1_1 | ((T([32, 16, 55, 55], f16), T([64, 16, 3, 3], f16), T([64], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_vovnet | ((T([32, 160, 28, 28], f16), T([160, 160, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mobilenet_v3_large | ((T([32, 160, 7, 7], f16), T([960, 160, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/dpn107 | ((T([32, 1600, 14, 14], f16), T([1600, 32, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 50), {}) |
aten.convolution.default | TIMM/dpn107 | ((T([32, 1600, 14, 14], f16), T([800, 1600, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/dpn107 | ((T([32, 1600, 7, 7], f16), T([1600, 32, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 50), {}) |
aten.convolution.default | TIMM/dpn107 | ((T([32, 1600, 7, 7], f16), T([2176, 1600, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/dpn107 | ((T([32, 1664, 14, 14], f16), T([800, 1664, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mobilenet_v3_large | ((T([32, 168, 1, 1], f16), T([672, 168, 1, 1], f16), T([672], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_vovnet | ((T([32, 1728, 14, 14], f16), T([768, 1728, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/dpn107 | ((T([32, 1728, 14, 14], f16), T([800, 1728, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/dpn107 | ((T([32, 1792, 14, 14], f16), T([800, 1792, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mobilenet_v3_large | ((T([32, 184, 14, 14], f16), T([184, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 184), {}) |
aten.convolution.default | TorchBench/mobilenet_v3_large | ((T([32, 184, 14, 14], f16), T([80, 184, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/dpn107 | ((T([32, 1856, 14, 14], f16), T([800, 1856, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_vovnet | ((T([32, 1888, 7, 7], f16), T([1024, 1888, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_vovnet | ((T([32, 192, 14, 14], f16), T([192, 192, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mnasnet1_0 | ((T([32, 192, 7, 7], f16), T([1152, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_efficientnet | ((T([32, 192, 7, 7], f16), T([1152, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/dpn107 | ((T([32, 1920, 14, 14], f16), T([800, 1920, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/dpn107 | ((T([32, 1984, 14, 14], f16), T([800, 1984, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_efficientnet | ((T([32, 20, 1, 1], f16), T([480, 20, 1, 1], f16), T([480], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mobilenet_v3_large | ((T([32, 200, 14, 14], f16), T([200, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 200), {}) |
aten.convolution.default | TorchBench/mobilenet_v3_large | ((T([32, 200, 14, 14], f16), T([80, 200, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/dpn107 | ((T([32, 200, 56, 56], f16), T([200, 4, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 50), {}) |
aten.convolution.default | TIMM/dpn107 | ((T([32, 200, 56, 56], f16), T([276, 200, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/gluon_senet154 | ((T([32, 2048, 1, 1], f16), T([128, 2048, 1, 1], f16), T([128], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/legacy_senet154 | ((T([32, 2048, 1, 1], f16), T([128, 2048, 1, 1], f16), T([128], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/swsl_resnext101_32x16d | ((T([32, 2048, 14, 14], f16), T([1024, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/swsl_resnext101_32x16d | ((T([32, 2048, 14, 14], f16), T([2048, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 32), {}) |
aten.convolution.default | TIMM/dpn107 | ((T([32, 2048, 14, 14], f16), T([800, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/swsl_resnext101_32x16d | ((T([32, 2048, 28, 28], f16), T([2048, 64, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 32), {}) |
aten.convolution.default | TIMM/gluon_senet154 | ((T([32, 2048, 7, 7], f16), T([1024, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/legacy_senet154 | ((T([32, 2048, 7, 7], f16), T([1024, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/gluon_senet154 | ((T([32, 2048, 7, 7], f16), T([2048, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/legacy_senet154 | ((T([32, 2048, 7, 7], f16), T([2048, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/swsl_resnext101_32x16d | ((T([32, 2048, 7, 7], f16), T([4096, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/resnet50 | ((T([32, 2048, 7, 7], f16), T([512, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/resnest101e | ((T([32, 2048, 8, 8], f16), T([512, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/dpn107 | ((T([32, 2112, 14, 14], f16), T([800, 2112, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_vovnet | ((T([32, 2144, 7, 7], f16), T([1024, 2144, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/dpn107 | ((T([32, 2176, 14, 14], f16), T([800, 2176, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_regnet | ((T([32, 224, 1, 1], f16), T([2240, 224, 1, 1], f16), T([2240], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_regnet | ((T([32, 224, 1, 1], f16), T([56, 224, 1, 1], f16), T([56], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_regnet | ((T([32, 224, 1, 1], f16), T([8, 224, 1, 1], f16), T([8], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_regnet | ((T([32, 224, 1, 1], f16), T([896, 224, 1, 1], f16), T([896], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_regnet | ((T([32, 224, 112, 112], f16), T([224, 112, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 2), {}) |
aten.convolution.default | TorchBench/timm_regnet | ((T([32, 224, 56, 56], f16), T([224, 112, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 2), {}) |
aten.convolution.default | TorchBench/timm_regnet | ((T([32, 224, 56, 56], f16), T([224, 224, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_regnet | ((T([32, 224, 56, 56], f16), T([448, 224, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_regnet | ((T([32, 224, 56, 56], f16), T([448, 224, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_vovnet | ((T([32, 224, 7, 7], f16), T([224, 224, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_regnet | ((T([32, 2240, 1, 1], f16), T([224, 2240, 1, 1], f16), T([224], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_regnet | ((T([32, 2240, 14, 14], f16), T([2240, 112, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 20), {}) |
aten.convolution.default | TIMM/dpn107 | ((T([32, 2240, 14, 14], f16), T([800, 2240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_regnet | ((T([32, 2240, 7, 7], f16), T([2240, 2240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/dpn107 | ((T([32, 2304, 14, 14], f16), T([800, 2304, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/dpn107 | ((T([32, 2368, 14, 14], f16), T([800, 2368, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mobilenet_v3_large | ((T([32, 24, 1, 1], f16), T([72, 24, 1, 1], f16), T([72], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_efficientnet | ((T([32, 24, 56, 56], f16), T([144, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
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