operator name stringclasses 180
values | used in model stringclasses 155
values | args stringlengths 19 5.24k |
|---|---|---|
aten.convolution_backward.default | TorchBench/timm_vovnet | ((T([32, 128, 56, 56], f16), T([32, 128, 56, 56], f16), T([128, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/gluon_senet154 | ((T([32, 128, 56, 56], f16), T([32, 256, 56, 56], f16), T([128, 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, 128, 56, 56], f16), T([32, 256, 56, 56], f16), T([128, 256, 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, 128, 56, 56], f16), T([32, 256, 56, 56], f16), T([128, 256, 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, 128, 56, 56], f16), T([32, 256, 56, 56], f16), T([128, 256, 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, 128, 56, 56], f16), T([32, 64, 112, 112], f16), T([128, 64, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_resnest | ((T([32, 128, 56, 56], f16), T([32, 64, 56, 56], f16), T([128, 32, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 2, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/convnext_base | ((T([32, 128, 56, 56], f16, stride=(401408, 1, 7168, 128)), T([32, 128, 56, 56], f16, stride=(401408, 1, 7168, 128)), T([128, 1, 7, 7], f16), [128], [1, 1], [3, 3], [1, 1], False, [0, 0], 128, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/convnext_base | ((T([32, 128, 56, 56], f16, stride=(401408, 1, 7168, 128)), T([32, 3, 224, 224], f16), T([128, 3, 4, 4], f16), [128], [4, 4], [0, 0], [1, 1], False, [0, 0], 1, [False, True, True]), {}) |
aten.convolution_backward.default | TIMM/resnest101e | ((T([32, 128, 64, 64], f16), T([32, 256, 64, 64], f16), T([128, 256, 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, 128, 64, 64], f16), T([32, 64, 64, 64], f16), T([128, 32, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 2, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/twins_pcpvt_base | ((T([32, 128, 7, 7], f16, stride=(6272, 1, 896, 128)), T([32, 128, 28, 28], f16, stride=(100352, 1, 3584, 128)), T([128, 128, 4, 4], f16), [128], [4, 4], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/gluon_xception65 | ((T([32, 128, 75, 75], f16), T([32, 128, 150, 150], f16), T([128, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 128, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/gluon_xception65 | ((T([32, 128, 75, 75], f16), T([32, 128, 75, 75], f16), T([128, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 128, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/gluon_xception65 | ((T([32, 128, 75, 75], f16), T([32, 128, 75, 75], f16), T([128, 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, 128, 75, 75], f16), T([32, 64, 150, 150], f16), T([128, 64, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/mnasnet1_0 | ((T([32, 1280, 7, 7], f16), T([32, 320, 7, 7], f16), T([1280, 320, 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, 1280, 7, 7], f16), T([32, 320, 7, 7], f16), T([1280, 320, 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, 144, 1, 1], f16), T([32, 6, 1, 1], f16), T([144, 6, 1, 1], f16), [144], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientnet | ((T([32, 144, 28, 28], f16), T([32, 144, 56, 56], f16), T([144, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 144, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientnet | ((T([32, 144, 56, 56], f16), T([32, 144, 56, 56], f16), T([144, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 144, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientnet | ((T([32, 144, 56, 56], f16), T([32, 24, 56, 56], f16), T([144, 24, 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, 1536, 10, 10], f16), T([32, 1024, 10, 10], f16), T([1536, 1024, 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, 1536, 10, 10], f16), T([32, 1536, 10, 10], f16), T([1536, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1536, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/gluon_xception65 | ((T([32, 1536, 10, 10], f16), T([32, 1536, 10, 10], f16), T([1536, 1536, 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, 16, 1, 1], f16), T([32, 256, 1, 1], f16), T([16, 256, 1, 1], f16), [16], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/legacy_senet154 | ((T([32, 16, 1, 1], f16), T([32, 256, 1, 1], f16), T([16, 256, 1, 1], f16), [16], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/mobilenet_v3_large | ((T([32, 16, 112, 112], f16), T([32, 16, 112, 112], f16), T([16, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 16, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/mobilenet_v3_large | ((T([32, 16, 112, 112], f16), T([32, 16, 112, 112], f16), T([16, 16, 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, 16, 112, 112], f16), T([32, 3, 224, 224], f16), T([16, 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, 16, 112, 112], f16), T([32, 32, 112, 112], f16), T([16, 32, 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, 16, 112, 112], f16), T([32, 32, 112, 112], f16), T([16, 32, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/squeezenet1_1 | ((T([32, 16, 55, 55], f16), T([32, 128, 55, 55], f16), T([16, 128, 1, 1], f16), [16], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/squeezenet1_1 | ((T([32, 16, 55, 55], f16), T([32, 64, 55, 55], f16), T([16, 64, 1, 1], f16), [16], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_vovnet | ((T([32, 160, 28, 28], f16), T([32, 160, 28, 28], f16), T([160, 160, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_vovnet | ((T([32, 160, 28, 28], f16), T([32, 256, 28, 28], f16), T([160, 256, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/mobilenet_v3_large | ((T([32, 160, 7, 7], f16), T([32, 672, 7, 7], f16), T([160, 672, 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, 160, 7, 7], f16), T([32, 960, 7, 7], f16), T([160, 960, 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, 1600, 14, 14], f16), T([32, 2432, 14, 14], f16), T([1600, 2432, 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, 1600, 7, 7], f16), T([32, 1600, 14, 14], f16), T([1600, 32, 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, 1600, 7, 7], f16), T([32, 1600, 7, 7], f16), T([1600, 32, 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, 1600, 7, 7], f16), T([32, 2432, 7, 7], f16), T([1600, 2432, 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, 1600, 7, 7], f16), T([32, 2560, 7, 7], f16), T([1600, 2560, 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, 168, 1, 1], f16), T([32, 672, 1, 1], f16), T([168, 672, 1, 1], f16), [168], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/mobilenet_v3_large | ((T([32, 184, 14, 14], f16), T([32, 184, 14, 14], f16), T([184, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 184, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/mobilenet_v3_large | ((T([32, 184, 14, 14], f16), T([32, 80, 14, 14], f16), T([184, 80, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/squeezenet1_1 | ((T([32, 192, 13, 13], f16), T([32, 48, 13, 13], f16), T([192, 48, 1, 1], f16), [192], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/squeezenet1_1 | ((T([32, 192, 13, 13], f16), T([32, 48, 13, 13], f16), T([192, 48, 3, 3], f16), [192], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_vovnet | ((T([32, 192, 14, 14], f16), T([32, 192, 14, 14], f16), T([192, 192, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_vovnet | ((T([32, 192, 14, 14], f16), T([32, 512, 14, 14], f16), T([192, 512, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_vovnet | ((T([32, 192, 14, 14], f16), T([32, 768, 14, 14], f16), T([192, 768, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/mnasnet1_0 | ((T([32, 192, 7, 7], f16), T([32, 1152, 7, 7], f16), T([192, 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, 192, 7, 7], f16), T([32, 1152, 7, 7], f16), T([192, 1152, 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, 192, 7, 7], f16), T([32, 576, 7, 7], f16), T([192, 576, 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, 192, 7, 7], f16), T([32, 672, 7, 7], f16), T([192, 672, 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, 20, 1, 1], f16), T([32, 480, 1, 1], f16), T([20, 480, 1, 1], f16), [20], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/mobilenet_v3_large | ((T([32, 200, 14, 14], f16), T([32, 200, 14, 14], f16), T([200, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 200, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/mobilenet_v3_large | ((T([32, 200, 14, 14], f16), T([32, 80, 14, 14], f16), T([200, 80, 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, 200, 56, 56], f16), T([32, 128, 56, 56], f16), T([200, 128, 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, 200, 56, 56], f16), T([32, 200, 56, 56], f16), T([200, 4, 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, 200, 56, 56], f16), T([32, 316, 56, 56], f16), T([200, 316, 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, 200, 56, 56], f16), T([32, 336, 56, 56], f16), T([200, 336, 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, 200, 56, 56], f16), T([32, 356, 56, 56], f16), T([200, 356, 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, 2048, 1, 1], f16), T([32, 128, 1, 1], f16), T([2048, 128, 1, 1], f16), [2048], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/legacy_senet154 | ((T([32, 2048, 1, 1], f16), T([32, 128, 1, 1], f16), T([2048, 128, 1, 1], f16), [2048], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/gluon_xception65 | ((T([32, 2048, 10, 10], f16), T([32, 1536, 10, 10], f16), T([2048, 1536, 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, 2048, 14, 14], f16), T([32, 1024, 14, 14], f16), T([2048, 1024, 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, 2048, 14, 14], f16), T([32, 2048, 14, 14], f16), T([2048, 64, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 32, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/swsl_resnext101_32x16d | ((T([32, 2048, 14, 14], f16), T([32, 2048, 28, 28], f16), T([2048, 64, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 32, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/swsl_resnext101_32x16d | ((T([32, 2048, 28, 28], f16), T([32, 512, 28, 28], f16), T([2048, 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, 2048, 7, 7], f16), T([32, 1024, 14, 14], f16), T([2048, 1024, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/resnet50 | ((T([32, 2048, 7, 7], f16), T([32, 1024, 14, 14], f16), T([2048, 1024, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/gluon_senet154 | ((T([32, 2048, 7, 7], f16), T([32, 1024, 14, 14], f16), T([2048, 1024, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/legacy_senet154 | ((T([32, 2048, 7, 7], f16), T([32, 1024, 14, 14], f16), T([2048, 1024, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/gluon_senet154 | ((T([32, 2048, 7, 7], f16), T([32, 1024, 14, 14], f16), T([2048, 16, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 64, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/legacy_senet154 | ((T([32, 2048, 7, 7], f16), T([32, 1024, 14, 14], f16), T([2048, 16, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 64, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_resnest | ((T([32, 2048, 7, 7], f16), T([32, 1024, 7, 7], f16), T([2048, 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, 2048, 7, 7], f16), T([32, 1024, 7, 7], f16), T([2048, 16, 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, 2048, 7, 7], f16), T([32, 1024, 7, 7], f16), T([2048, 16, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 64, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/gluon_senet154 | ((T([32, 2048, 7, 7], f16), T([32, 2048, 7, 7], f16), T([2048, 2048, 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, 2048, 7, 7], f16), T([32, 2048, 7, 7], f16), T([2048, 2048, 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, 2048, 7, 7], f16), T([32, 4096, 7, 7], f16), T([2048, 4096, 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, 2048, 7, 7], f16), T([32, 512, 7, 7], f16), T([2048, 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, 2048, 7, 7], f16), T([32, 512, 7, 7], f16), T([2048, 512, 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, 2048, 8, 8], f16), T([32, 1024, 8, 8], f16), T([2048, 1024, 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, 2048, 8, 8], f16), T([32, 512, 8, 8], f16), T([2048, 512, 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, 2176, 7, 7], f16), T([32, 1600, 7, 7], f16), T([2176, 1600, 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, 224, 1, 1], f16), T([32, 2240, 1, 1], f16), T([224, 2240, 1, 1], f16), [224], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_regnet | ((T([32, 224, 1, 1], f16), T([32, 56, 1, 1], f16), T([224, 56, 1, 1], f16), [224], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_regnet | ((T([32, 224, 1, 1], f16), T([32, 8, 1, 1], f16), T([224, 8, 1, 1], f16), [224], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_regnet | ((T([32, 224, 1, 1], f16), T([32, 896, 1, 1], f16), T([224, 896, 1, 1], f16), [224], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_regnet | ((T([32, 224, 112, 112], f16), T([32, 32, 112, 112], f16), T([224, 32, 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, 224, 56, 56], f16), T([32, 224, 112, 112], f16), T([224, 112, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 2, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_regnet | ((T([32, 224, 56, 56], f16), T([32, 224, 56, 56], f16), T([224, 112, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 2, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_regnet | ((T([32, 224, 56, 56], f16), T([32, 224, 56, 56], f16), T([224, 224, 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, 224, 56, 56], f16), T([32, 32, 112, 112], f16), T([224, 32, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_vovnet | ((T([32, 224, 7, 7], f16), T([32, 1024, 7, 7], f16), T([224, 1024, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_vovnet | ((T([32, 224, 7, 7], f16), T([32, 224, 7, 7], f16), T([224, 224, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_vovnet | ((T([32, 224, 7, 7], f16), T([32, 768, 7, 7], f16), T([224, 768, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_regnet | ((T([32, 2240, 1, 1], f16), T([32, 224, 1, 1], f16), T([2240, 224, 1, 1], f16), [2240], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
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