operator name stringclasses 180
values | used in model stringclasses 155
values | args stringlengths 19 5.24k |
|---|---|---|
aten.convolution_backward.default | TIMM/dpn107 | ((T([32, 400, 28, 28], f16), T([32, 768, 28, 28], f16), T([400, 768, 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, 832, 28, 28], f16), T([400, 832, 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, 896, 28, 28], f16), T([400, 896, 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, 960, 28, 28], f16), T([400, 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, 400, 56, 56], f16), T([32, 376, 56, 56], f16), T([400, 376, 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, 4096, 14, 14], f16), T([32, 1024, 14, 14], f16), T([4096, 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, 4096, 7, 7], f16), T([32, 2048, 7, 7], f16), T([4096, 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, 4096, 7, 7], f16), T([32, 4096, 14, 14], f16), T([4096, 128, 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, 4096, 7, 7], f16), T([32, 4096, 7, 7], f16), T([4096, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 32, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_regnet | ((T([32, 448, 1, 1], f16), T([32, 112, 1, 1], f16), T([448, 112, 1, 1], f16), [448], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_regnet | ((T([32, 448, 1, 1], f16), T([32, 56, 1, 1], f16), T([448, 56, 1, 1], f16), [448], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_regnet | ((T([32, 448, 28, 28], f16), T([32, 224, 56, 56], f16), T([448, 224, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_regnet | ((T([32, 448, 28, 28], f16), T([32, 448, 28, 28], f16), T([448, 112, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 4, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_regnet | ((T([32, 448, 28, 28], f16), T([32, 448, 28, 28], f16), T([448, 448, 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, 448, 28, 28], f16), T([32, 448, 56, 56], f16), T([448, 112, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 4, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_regnet | ((T([32, 448, 56, 56], f16), T([32, 224, 56, 56], f16), T([448, 224, 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, 48, 1, 1], f16), T([32, 1152, 1, 1], f16), T([48, 1152, 1, 1], f16), [48], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/mnasnet1_0 | ((T([32, 48, 112, 112], f16), T([32, 16, 112, 112], f16), T([48, 16, 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, 48, 13, 13], f16), T([32, 256, 13, 13], f16), T([48, 256, 1, 1], f16), [48], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/squeezenet1_1 | ((T([32, 48, 13, 13], f16), T([32, 384, 13, 13], f16), T([48, 384, 1, 1], f16), [48], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/mnasnet1_0 | ((T([32, 48, 56, 56], f16), T([32, 48, 112, 112], f16), T([48, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 48, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/mobilenet_v3_large | ((T([32, 480, 1, 1], f16), T([32, 120, 1, 1], f16), T([480, 120, 1, 1], f16), [480], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientnet | ((T([32, 480, 1, 1], f16), T([32, 20, 1, 1], f16), T([480, 20, 1, 1], f16), [480], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/mnasnet1_0 | ((T([32, 480, 14, 14], f16), T([32, 480, 14, 14], f16), T([480, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 480, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/mobilenet_v3_large | ((T([32, 480, 14, 14], f16), T([32, 480, 14, 14], f16), T([480, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 480, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientnet | ((T([32, 480, 14, 14], f16), T([32, 480, 14, 14], f16), T([480, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 480, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/mnasnet1_0 | ((T([32, 480, 14, 14], f16), T([32, 480, 14, 14], f16), T([480, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 480, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientnet | ((T([32, 480, 14, 14], f16), T([32, 480, 14, 14], f16), T([480, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 480, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/mnasnet1_0 | ((T([32, 480, 14, 14], f16), T([32, 80, 14, 14], f16), T([480, 80, 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, 480, 14, 14], f16), T([32, 80, 14, 14], f16), T([480, 80, 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, 480, 14, 14], f16), T([32, 80, 14, 14], f16), T([480, 80, 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, 512, 1, 1], f16), T([32, 128, 1, 1], f16), T([512, 128, 1, 1], f16), [512], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_resnest | ((T([32, 512, 1, 1], f16), T([32, 128, 1, 1], f16), T([512, 128, 1, 1], f16), [512], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/gluon_senet154 | ((T([32, 512, 1, 1], f16), T([32, 32, 1, 1], f16), T([512, 32, 1, 1], f16), [512], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/legacy_senet154 | ((T([32, 512, 1, 1], f16), T([32, 32, 1, 1], f16), T([512, 32, 1, 1], f16), [512], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/gluon_senet154 | ((T([32, 512, 14, 14], f16), T([32, 1024, 14, 14], f16), T([512, 1024, 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, 512, 14, 14], f16), T([32, 1024, 14, 14], f16), T([512, 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, 512, 14, 14], f16), T([32, 1024, 14, 14], f16), T([512, 1024, 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, 512, 14, 14], f16), T([32, 1024, 14, 14], f16), T([512, 1024, 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, 512, 14, 14], f16, stride=(100352, 1, 7168, 512)), T([32, 256, 28, 28], f16, stride=(200704, 1, 7168, 256)), T([512, 256, 2, 2], f16), [512], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/convnext_base | ((T([32, 512, 14, 14], f16, stride=(100352, 1, 7168, 512)), T([32, 512, 14, 14], f16, stride=(100352, 1, 7168, 512)), T([512, 1, 7, 7], f16), [512], [1, 1], [3, 3], [1, 1], False, [0, 0], 512, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/resnest101e | ((T([32, 512, 16, 16], f16), T([32, 1024, 16, 16], f16), T([512, 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, 512, 16, 16], f16), T([32, 256, 16, 16], f16), T([512, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 2, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/swsl_resnext101_32x16d | ((T([32, 512, 28, 28], f16), T([32, 1024, 28, 28], f16), T([512, 1024, 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, 512, 28, 28], f16), T([32, 1056, 28, 28], f16), T([512, 1056, 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, 512, 28, 28], f16), T([32, 128, 28, 28], f16), T([512, 128, 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, 512, 28, 28], f16), T([32, 128, 28, 28], f16), T([512, 128, 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, 512, 28, 28], f16), T([32, 256, 28, 28], f16), T([512, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 2, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_resnest | ((T([32, 512, 28, 28], f16), T([32, 256, 28, 28], f16), T([512, 256, 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, 512, 28, 28], f16), T([32, 256, 28, 28], f16), T([512, 4, 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, 512, 28, 28], f16), T([32, 256, 28, 28], f16), T([512, 4, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 64, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/swsl_resnext101_32x16d | ((T([32, 512, 28, 28], f16), T([32, 256, 56, 56], f16), T([512, 256, 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, 512, 28, 28], f16), T([32, 256, 56, 56], f16), T([512, 256, 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, 512, 28, 28], f16), T([32, 256, 56, 56], f16), T([512, 256, 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, 512, 28, 28], f16), T([32, 256, 56, 56], f16), T([512, 256, 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, 512, 28, 28], f16), T([32, 256, 56, 56], f16), T([512, 4, 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, 512, 28, 28], f16), T([32, 256, 56, 56], f16), T([512, 4, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 64, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/gluon_senet154 | ((T([32, 512, 28, 28], f16), T([32, 512, 28, 28], f16), T([512, 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, 512, 28, 28], f16), T([32, 512, 28, 28], f16), T([512, 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, 512, 32, 32], f16), T([32, 128, 32, 32], f16), T([512, 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, 512, 32, 32], f16), T([32, 256, 32, 32], f16), T([512, 128, 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, 512, 32, 32], f16), T([32, 256, 32, 32], f16), T([512, 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, 512, 4, 4], f16), T([32, 256, 8, 8], f16), T([512, 256, 4, 4], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/swsl_resnext101_32x16d | ((T([32, 512, 56, 56], f16), T([32, 256, 56, 56], f16), T([512, 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, 512, 56, 56], f16), T([32, 512, 56, 56], f16), T([512, 16, 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, 512, 56, 56], f16), T([32, 64, 56, 56], f16), T([512, 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, 512, 7, 7], f16), T([32, 2048, 7, 7], f16), T([512, 2048, 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, 512, 7, 7], f16), T([32, 512, 14, 14], f16), T([512, 512, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/resnet50 | ((T([32, 512, 7, 7], f16), T([32, 512, 7, 7], f16), T([512, 512, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/twins_pcpvt_base | ((T([32, 512, 7, 7], f16, stride=(25088, 1, 3584, 512)), T([32, 320, 14, 14], f16), T([512, 320, 2, 2], f16), [512], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/twins_pcpvt_base | ((T([32, 512, 7, 7], f16, stride=(25088, 1, 3584, 512)), T([32, 512, 7, 7], f16, stride=(25088, 1, 3584, 512)), T([512, 1, 3, 3], f16), [512], [1, 1], [1, 1], [1, 1], False, [0, 0], 512, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/resnest101e | ((T([32, 512, 8, 8], f16), T([32, 2048, 8, 8], f16), T([512, 2048, 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, 56, 1, 1], f16), T([32, 224, 1, 1], f16), T([56, 224, 1, 1], f16), [56], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_regnet | ((T([32, 56, 1, 1], f16), T([32, 448, 1, 1], f16), T([56, 448, 1, 1], f16), [56], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/mnasnet1_0 | ((T([32, 576, 14, 14], f16), T([32, 576, 14, 14], f16), T([576, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 576, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/mnasnet1_0 | ((T([32, 576, 14, 14], f16), T([32, 96, 14, 14], f16), T([576, 96, 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, 576, 28, 28], f16), T([32, 400, 28, 28], f16), T([576, 400, 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, 576, 7, 7], f16), T([32, 576, 14, 14], f16), T([576, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 576, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientnet | ((T([32, 6, 1, 1], f16), T([32, 144, 1, 1], f16), T([6, 144, 1, 1], f16), [6], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/gluon_senet154 | ((T([32, 64, 1, 1], f16), T([32, 1024, 1, 1], f16), T([64, 1024, 1, 1], f16), [64], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/legacy_senet154 | ((T([32, 64, 1, 1], f16), T([32, 1024, 1, 1], f16), T([64, 1024, 1, 1], f16), [64], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/resnest101e | ((T([32, 64, 1, 1], f16), T([32, 128, 1, 1], f16), T([64, 128, 1, 1], f16), [64], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_resnest | ((T([32, 64, 1, 1], f16), T([32, 128, 1, 1], f16), T([64, 128, 1, 1], f16), [64], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/squeezenet1_1 | ((T([32, 64, 111, 111], f16), T([32, 3, 224, 224], f16), T([64, 3, 3, 3], f16), [64], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [False, True, True]), {}) |
aten.convolution_backward.default | TorchBench/mobilenet_v3_large | ((T([32, 64, 112, 112], f16), T([32, 16, 112, 112], f16), T([64, 16, 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, 64, 112, 112], f16), T([32, 3, 224, 224], f16), T([64, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {}) |
aten.convolution_backward.default | TIMM/legacy_senet154 | ((T([32, 64, 112, 112], f16), T([32, 3, 224, 224], f16), T([64, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_vovnet | ((T([32, 64, 112, 112], f16), T([32, 3, 224, 224], f16), T([64, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {}) |
aten.convolution_backward.default | TIMM/swsl_resnext101_32x16d | ((T([32, 64, 112, 112], f16), T([32, 3, 224, 224], f16), T([64, 3, 7, 7], f16), [0], [2, 2], [3, 3], [1, 1], False, [0, 0], 1, [False, True, False]), {}) |
aten.convolution_backward.default | TorchBench/resnet50 | ((T([32, 64, 112, 112], f16), T([32, 3, 224, 224], f16), T([64, 3, 7, 7], f16), [0], [2, 2], [3, 3], [1, 1], False, [0, 0], 1, [False, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_resnest | ((T([32, 64, 112, 112], f16), T([32, 32, 112, 112], f16), T([64, 32, 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, 64, 112, 112], f16), T([32, 64, 112, 112], f16), T([64, 64, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/legacy_senet154 | ((T([32, 64, 112, 112], f16), T([32, 64, 112, 112], f16), T([64, 64, 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, 64, 112, 112], f16), T([32, 64, 112, 112], f16), T([64, 64, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/resnest101e | ((T([32, 64, 128, 128], f16), T([32, 3, 256, 256], f16), T([64, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {}) |
aten.convolution_backward.default | TIMM/resnest101e | ((T([32, 64, 128, 128], f16), T([32, 64, 128, 128], f16), T([64, 64, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/squeezenet1_1 | ((T([32, 64, 13, 13], f16), T([32, 384, 13, 13], f16), T([64, 384, 1, 1], f16), [64], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/squeezenet1_1 | ((T([32, 64, 13, 13], f16), T([32, 512, 13, 13], f16), T([64, 512, 1, 1], f16), [64], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/gluon_xception65 | ((T([32, 64, 150, 150], f16), T([32, 32, 150, 150], f16), T([64, 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, 64, 150, 150], f16), T([32, 64, 150, 150], f16), T([64, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 64, [True, True, False]), {}) |
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