operator name stringclasses 180
values | used in model stringclasses 155
values | args stringlengths 19 5.24k |
|---|---|---|
aten.convolution_backward.default | TorchBench/timm_regnet | ((T([32, 2240, 14, 14], f16), T([32, 896, 14, 14], f16), T([2240, 896, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_regnet | ((T([32, 2240, 7, 7], f16), T([32, 2240, 14, 14], f16), T([2240, 112, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 20, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_regnet | ((T([32, 2240, 7, 7], f16), T([32, 2240, 7, 7], f16), T([2240, 2240, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_regnet | ((T([32, 2240, 7, 7], f16), T([32, 896, 14, 14], f16), T([2240, 896, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/dpn107 | ((T([32, 2304, 7, 7], f16), T([32, 2432, 14, 14], f16), T([2304, 2432, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/mobilenet_v3_large | ((T([32, 24, 1, 1], f16), T([32, 72, 1, 1], f16), T([24, 72, 1, 1], f16), [24], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientnet | ((T([32, 24, 56, 56], f16), T([32, 144, 56, 56], f16), T([24, 144, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/mnasnet1_0 | ((T([32, 24, 56, 56], f16), T([32, 48, 56, 56], f16), T([24, 48, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/mobilenet_v3_large | ((T([32, 24, 56, 56], f16), T([32, 64, 56, 56], f16), T([24, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/mnasnet1_0 | ((T([32, 24, 56, 56], f16), T([32, 72, 56, 56], f16), T([24, 72, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/mobilenet_v3_large | ((T([32, 24, 56, 56], f16), T([32, 72, 56, 56], f16), T([24, 72, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientnet | ((T([32, 24, 56, 56], f16), T([32, 96, 56, 56], f16), T([24, 96, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientnet | ((T([32, 240, 1, 1], f16), T([32, 10, 1, 1], f16), T([240, 10, 1, 1], f16), [240], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/mobilenet_v3_large | ((T([32, 240, 1, 1], f16), T([32, 960, 1, 1], f16), T([240, 960, 1, 1], f16), [240], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/mobilenet_v3_large | ((T([32, 240, 14, 14], f16), T([32, 240, 28, 28], f16), T([240, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 240, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientnet | ((T([32, 240, 14, 14], f16), T([32, 240, 28, 28], f16), T([240, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 240, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/mnasnet1_0 | ((T([32, 240, 14, 14], f16), T([32, 240, 28, 28], f16), T([240, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 240, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientnet | ((T([32, 240, 28, 28], f16), T([32, 240, 28, 28], f16), T([240, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 240, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/mnasnet1_0 | ((T([32, 240, 28, 28], f16), T([32, 40, 28, 28], f16), T([240, 40, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/mobilenet_v3_large | ((T([32, 240, 28, 28], f16), T([32, 40, 28, 28], f16), T([240, 40, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientnet | ((T([32, 240, 28, 28], f16), T([32, 40, 28, 28], f16), T([240, 40, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/gluon_senet154 | ((T([32, 256, 1, 1], f16), T([32, 16, 1, 1], f16), T([256, 16, 1, 1], f16), [256], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/legacy_senet154 | ((T([32, 256, 1, 1], f16), T([32, 16, 1, 1], f16), T([256, 16, 1, 1], f16), [256], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/resnest101e | ((T([32, 256, 1, 1], f16), T([32, 512, 1, 1], f16), T([256, 512, 1, 1], f16), [256], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_resnest | ((T([32, 256, 1, 1], f16), T([32, 512, 1, 1], f16), T([256, 512, 1, 1], f16), [256], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/resnest101e | ((T([32, 256, 1, 1], f16), T([32, 64, 1, 1], f16), T([256, 64, 1, 1], f16), [256], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_resnest | ((T([32, 256, 1, 1], f16), T([32, 64, 1, 1], f16), T([256, 64, 1, 1], f16), [256], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/squeezenet1_1 | ((T([32, 256, 13, 13], f16), T([32, 64, 13, 13], f16), T([256, 64, 1, 1], f16), [256], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/squeezenet1_1 | ((T([32, 256, 13, 13], f16), T([32, 64, 13, 13], f16), T([256, 64, 3, 3], f16), [256], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/resnet50 | ((T([32, 256, 14, 14], f16), T([32, 1024, 14, 14], f16), T([256, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/resnet50 | ((T([32, 256, 14, 14], f16), T([32, 256, 14, 14], f16), T([256, 256, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/resnet50 | ((T([32, 256, 14, 14], f16), T([32, 256, 28, 28], f16), T([256, 256, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/resnest101e | ((T([32, 256, 16, 16], f16), T([32, 1024, 16, 16], f16), T([256, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/gluon_senet154 | ((T([32, 256, 28, 28], f16), T([32, 512, 28, 28], f16), T([256, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/legacy_senet154 | ((T([32, 256, 28, 28], f16), T([32, 512, 28, 28], f16), T([256, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/resnet50 | ((T([32, 256, 28, 28], f16), T([32, 512, 28, 28], f16), T([256, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_resnest | ((T([32, 256, 28, 28], f16), T([32, 512, 28, 28], f16), T([256, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/convnext_base | ((T([32, 256, 28, 28], f16, stride=(200704, 1, 7168, 256)), T([32, 128, 56, 56], f16, stride=(401408, 1, 7168, 128)), T([256, 128, 2, 2], f16), [256], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/convnext_base | ((T([32, 256, 28, 28], f16, stride=(200704, 1, 7168, 256)), T([32, 256, 28, 28], f16, stride=(200704, 1, 7168, 256)), T([256, 1, 7, 7], f16), [256], [1, 1], [3, 3], [1, 1], False, [0, 0], 256, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/resnest101e | ((T([32, 256, 32, 32], f16), T([32, 128, 32, 32], f16), T([256, 64, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 2, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/resnest101e | ((T([32, 256, 32, 32], f16), T([32, 512, 32, 32], f16), T([256, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/gluon_xception65 | ((T([32, 256, 38, 38], f16), T([32, 128, 75, 75], f16), T([256, 128, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/gluon_xception65 | ((T([32, 256, 38, 38], f16), T([32, 256, 38, 38], f16), T([256, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 256, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/gluon_xception65 | ((T([32, 256, 38, 38], f16), T([32, 256, 38, 38], f16), T([256, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/gluon_xception65 | ((T([32, 256, 38, 38], f16), T([32, 256, 75, 75], f16), T([256, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 256, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/gluon_senet154 | ((T([32, 256, 56, 56], f16), T([32, 128, 56, 56], f16), T([256, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/legacy_senet154 | ((T([32, 256, 56, 56], f16), T([32, 128, 56, 56], f16), T([256, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/gluon_senet154 | ((T([32, 256, 56, 56], f16), T([32, 128, 56, 56], f16), T([256, 2, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 64, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/legacy_senet154 | ((T([32, 256, 56, 56], f16), T([32, 128, 56, 56], f16), T([256, 2, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 64, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_resnest | ((T([32, 256, 56, 56], f16), T([32, 128, 56, 56], f16), T([256, 64, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 2, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/gluon_senet154 | ((T([32, 256, 56, 56], f16), T([32, 256, 56, 56], f16), T([256, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/legacy_senet154 | ((T([32, 256, 56, 56], f16), T([32, 256, 56, 56], f16), T([256, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/swsl_resnext101_32x16d | ((T([32, 256, 56, 56], f16), T([32, 512, 56, 56], f16), T([256, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/swsl_resnext101_32x16d | ((T([32, 256, 56, 56], f16), T([32, 64, 56, 56], f16), T([256, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/resnet50 | ((T([32, 256, 56, 56], f16), T([32, 64, 56, 56], f16), T([256, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_resnest | ((T([32, 256, 56, 56], f16), T([32, 64, 56, 56], f16), T([256, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_vovnet | ((T([32, 256, 56, 56], f16), T([32, 768, 56, 56], f16), T([256, 768, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/resnest101e | ((T([32, 256, 64, 64], f16), T([32, 128, 64, 64], f16), T([256, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/resnest101e | ((T([32, 256, 64, 64], f16), T([32, 128, 64, 64], f16), T([256, 64, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 2, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/resnest101e | ((T([32, 256, 64, 64], f16), T([32, 64, 64, 64], f16), T([256, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/gluon_xception65 | ((T([32, 256, 75, 75], f16), T([32, 128, 75, 75], f16), T([256, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/gluon_xception65 | ((T([32, 256, 75, 75], f16), T([32, 256, 75, 75], f16), T([256, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 256, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/gluon_xception65 | ((T([32, 256, 75, 75], f16), T([32, 256, 75, 75], f16), T([256, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/dcgan | ((T([32, 256, 8, 8], f16), T([32, 128, 16, 16], f16), T([256, 128, 4, 4], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/dpn107 | ((T([32, 276, 56, 56], f16), T([32, 200, 56, 56], f16), T([276, 200, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientnet | ((T([32, 28, 1, 1], f16), T([32, 672, 1, 1], f16), T([28, 672, 1, 1], f16), [28], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/dpn107 | ((T([32, 296, 56, 56], f16), T([32, 128, 56, 56], f16), T([296, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/mobilenet_v3_large | ((T([32, 32, 1, 1], f16), T([32, 120, 1, 1], f16), T([32, 120, 1, 1], f16), [32], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/gluon_senet154 | ((T([32, 32, 1, 1], f16), T([32, 512, 1, 1], f16), T([32, 512, 1, 1], f16), [32], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/legacy_senet154 | ((T([32, 32, 1, 1], f16), T([32, 512, 1, 1], f16), T([32, 512, 1, 1], f16), [32], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/resnest101e | ((T([32, 32, 1, 1], f16), T([32, 64, 1, 1], f16), T([32, 64, 1, 1], f16), [32], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_resnest | ((T([32, 32, 1, 1], f16), T([32, 64, 1, 1], f16), T([32, 64, 1, 1], f16), [32], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientnet | ((T([32, 32, 1, 1], f16), T([32, 8, 1, 1], f16), T([32, 8, 1, 1], f16), [32], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/mnasnet1_0 | ((T([32, 32, 112, 112], f16), T([32, 3, 224, 224], f16), T([32, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientnet | ((T([32, 32, 112, 112], f16), T([32, 3, 224, 224], f16), T([32, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_regnet | ((T([32, 32, 112, 112], f16), T([32, 3, 224, 224], f16), T([32, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_resnest | ((T([32, 32, 112, 112], f16), T([32, 3, 224, 224], f16), T([32, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {}) |
aten.convolution_backward.default | TorchBench/mnasnet1_0 | ((T([32, 32, 112, 112], f16), T([32, 32, 112, 112], f16), T([32, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 32, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientnet | ((T([32, 32, 112, 112], f16), T([32, 32, 112, 112], f16), T([32, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 32, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_resnest | ((T([32, 32, 112, 112], f16), T([32, 32, 112, 112], f16), T([32, 32, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/gluon_xception65 | ((T([32, 32, 150, 150], f16), T([32, 3, 299, 299], f16), T([32, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {}) |
aten.convolution_backward.default | TorchBench/squeezenet1_1 | ((T([32, 32, 27, 27], f16), T([32, 128, 27, 27], f16), T([32, 128, 1, 1], f16), [32], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/squeezenet1_1 | ((T([32, 32, 27, 27], f16), T([32, 256, 27, 27], f16), T([32, 256, 1, 1], f16), [32], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/twins_pcpvt_base | ((T([32, 320, 14, 14], f16), T([32, 128, 28, 28], f16), T([320, 128, 2, 2], f16), [320], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/twins_pcpvt_base | ((T([32, 320, 14, 14], f16), T([32, 320, 14, 14], f16, stride=(62720, 1, 4480, 320)), T([320, 1, 3, 3], f16), [320], [1, 1], [1, 1], [1, 1], False, [0, 0], 320, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/mnasnet1_0 | ((T([32, 320, 7, 7], f16), T([32, 1152, 7, 7], f16), T([320, 1152, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientnet | ((T([32, 320, 7, 7], f16), T([32, 1152, 7, 7], f16), T([320, 1152, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/twins_pcpvt_base | ((T([32, 320, 7, 7], f16, stride=(15680, 1, 2240, 320)), T([32, 320, 14, 14], f16, stride=(62720, 1, 4480, 320)), T([320, 320, 2, 2], f16), [320], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientnet | ((T([32, 4, 1, 1], f16), T([32, 96, 1, 1], f16), T([4, 96, 1, 1], f16), [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/mnasnet1_0 | ((T([32, 40, 28, 28], f16), T([32, 120, 28, 28], f16), T([40, 120, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/mobilenet_v3_large | ((T([32, 40, 28, 28], f16), T([32, 120, 28, 28], f16), T([40, 120, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientnet | ((T([32, 40, 28, 28], f16), T([32, 144, 28, 28], f16), T([40, 144, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientnet | ((T([32, 40, 28, 28], f16), T([32, 240, 28, 28], f16), T([40, 240, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/mnasnet1_0 | ((T([32, 40, 28, 28], f16), T([32, 72, 28, 28], f16), T([40, 72, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/mobilenet_v3_large | ((T([32, 40, 28, 28], f16), T([32, 72, 28, 28], f16), T([40, 72, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/dpn107 | ((T([32, 400, 28, 28], f16), T([32, 1024, 28, 28], f16), T([400, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/dpn107 | ((T([32, 400, 28, 28], f16), T([32, 1088, 28, 28], f16), T([400, 1088, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/dpn107 | ((T([32, 400, 28, 28], f16), T([32, 400, 28, 28], f16), T([400, 8, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 50, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/dpn107 | ((T([32, 400, 28, 28], f16), T([32, 400, 56, 56], f16), T([400, 8, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 50, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/dpn107 | ((T([32, 400, 28, 28], f16), T([32, 704, 28, 28], f16), T([400, 704, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
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