operator name stringclasses 180
values | used in model stringclasses 155
values | args stringlengths 19 5.24k |
|---|---|---|
aten.convolution_backward.default | TorchBench/Background_Matting | ((T([3, 128, 256, 256], f16), T([3, 256, 256, 256], f16), T([128, 256, 3, 3], f16), [128], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/Background_Matting | ((T([3, 128, 256, 256], f16), T([3, 64, 512, 512], f16), T([128, 64, 3, 3], f16), [128], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/Background_Matting | ((T([3, 128, 256, 256], f16, stride=(8388608, 1, 32768, 128)), T([3, 64, 512, 512], f16, stride=(16777216, 1, 32768, 64)), T([128, 64, 3, 3], f16), [128], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/Background_Matting | ((T([3, 256, 128, 128], f16), T([3, 128, 256, 256], f16), T([256, 128, 3, 3], f16), [256], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/Background_Matting | ((T([3, 256, 128, 128], f16), T([3, 256, 130, 130], f16), T([256, 256, 3, 3], f16), [256], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/Background_Matting | ((T([3, 256, 128, 128], f16), T([3, 448, 128, 128], f16), T([256, 448, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/Background_Matting | ((T([3, 256, 128, 128], f16, stride=(4194304, 1, 32768, 256)), T([3, 128, 256, 256], f16, stride=(8388608, 1, 32768, 128)), T([256, 128, 3, 3], f16), [256], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/Background_Matting | ((T([3, 3, 512, 512], f16, stride=(0, 0, 0, 0)), T([3, 64, 518, 518], f16), T([3, 64, 7, 7], f16), [3], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/Background_Matting | ((T([3, 64, 128, 128], f16), T([3, 512, 128, 128], f16), T([64, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/Background_Matting | ((T([3, 64, 512, 512], f16), T([3, 128, 512, 512], f16), T([64, 128, 3, 3], f16), [64], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/Background_Matting | ((T([3, 64, 512, 512], f16), T([3, 256, 512, 512], f16), T([64, 256, 3, 3], f16), [64], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/Background_Matting | ((T([3, 64, 512, 512], f16), T([3, 3, 518, 518], f16), T([64, 3, 7, 7], f16), [64], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [False, True, True]), {}) |
aten.convolution_backward.default | TorchBench/Background_Matting | ((T([3, 64, 512, 512], f16, stride=(16777216, 1, 32768, 64)), T([3, 1, 518, 518], f16), T([64, 1, 7, 7], f16), [64], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [False, True, True]), {}) |
aten.convolution_backward.default | TorchBench/dcgan | ((T([32, 1, 1, 1], f16), T([32, 512, 4, 4], f16), T([1, 512, 4, 4], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientnet | ((T([32, 10, 1, 1], f16), T([32, 240, 1, 1], f16), T([10, 240, 1, 1], f16), [10], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/dpn107 | ((T([32, 1000, 1, 1], f16), T([32, 2688, 1, 1], f16), T([1000, 2688, 1, 1], f16), [1000], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/squeezenet1_1 | ((T([32, 1000, 13, 13], f16), T([32, 512, 13, 13], f16), T([1000, 512, 1, 1], f16), [1000], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/resnest101e | ((T([32, 1024, 1, 1], f16), T([32, 256, 1, 1], f16), T([1024, 256, 1, 1], f16), [1024], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_resnest | ((T([32, 1024, 1, 1], f16), T([32, 256, 1, 1], f16), T([1024, 256, 1, 1], f16), [1024], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/gluon_senet154 | ((T([32, 1024, 1, 1], f16), T([32, 64, 1, 1], f16), T([1024, 64, 1, 1], f16), [1024], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/legacy_senet154 | ((T([32, 1024, 1, 1], f16), T([32, 64, 1, 1], f16), T([1024, 64, 1, 1], f16), [1024], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/gluon_xception65 | ((T([32, 1024, 10, 10], f16), T([32, 1024, 10, 10], f16), T([1024, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1024, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/gluon_xception65 | ((T([32, 1024, 10, 10], f16), T([32, 1024, 10, 10], f16), T([1024, 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, 1024, 10, 10], f16), T([32, 1024, 19, 19], f16), T([1024, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1024, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/gluon_xception65 | ((T([32, 1024, 10, 10], f16), T([32, 728, 19, 19], f16), T([1024, 728, 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, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16), T([1024, 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, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16), T([1024, 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, 1024, 14, 14], f16), T([32, 2048, 14, 14], f16), T([1024, 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, 1024, 14, 14], f16), T([32, 256, 14, 14], f16), T([1024, 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, 1024, 14, 14], f16), T([32, 256, 14, 14], f16), T([1024, 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, 1024, 14, 14], f16), T([32, 512, 14, 14], f16), T([1024, 256, 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, 1024, 14, 14], f16), T([32, 512, 14, 14], f16), T([1024, 512, 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, 1024, 14, 14], f16), T([32, 512, 14, 14], f16), T([1024, 8, 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, 1024, 14, 14], f16), T([32, 512, 14, 14], f16), T([1024, 8, 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, 1024, 14, 14], f16), T([32, 512, 28, 28], f16), T([1024, 512, 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, 1024, 14, 14], f16), T([32, 512, 28, 28], f16), T([1024, 512, 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, 1024, 14, 14], f16), T([32, 512, 28, 28], f16), T([1024, 512, 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, 1024, 14, 14], f16), T([32, 512, 28, 28], f16), T([1024, 512, 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, 1024, 14, 14], f16), T([32, 512, 28, 28], f16), T([1024, 8, 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, 1024, 14, 14], f16), T([32, 512, 28, 28], f16), T([1024, 8, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 64, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/resnest101e | ((T([32, 1024, 16, 16], f16), T([32, 256, 16, 16], f16), T([1024, 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, 1024, 16, 16], f16), T([32, 512, 16, 16], f16), T([1024, 256, 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, 1024, 16, 16], f16), T([32, 512, 16, 16], f16), T([1024, 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, 1024, 19, 19], f16), T([32, 728, 19, 19], f16), T([1024, 728, 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, 1024, 28, 28], f16), T([32, 1024, 28, 28], f16), T([1024, 32, 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, 1024, 28, 28], f16), T([32, 1024, 56, 56], f16), T([1024, 32, 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, 1024, 28, 28], f16), T([32, 512, 28, 28], f16), T([1024, 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, 1024, 56, 56], f16), T([32, 256, 56, 56], f16), T([1024, 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, 1024, 7, 7], f16), T([32, 1888, 7, 7], f16), T([1024, 1888, 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, 1024, 7, 7], f16), T([32, 2048, 7, 7], f16), T([1024, 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, 1024, 7, 7], f16), T([32, 2048, 7, 7], f16), T([1024, 2048, 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, 1024, 7, 7], f16), T([32, 2144, 7, 7], f16), T([1024, 2144, 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, 1024, 7, 7], f16), T([32, 512, 14, 14], f16, stride=(100352, 1, 7168, 512)), T([1024, 512, 2, 2], f16), [1024], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/convnext_base | ((T([32, 1024, 7, 7], f16, stride=(50176, 1, 7168, 1024)), T([32, 1024, 7, 7], f16, stride=(50176, 1, 7168, 1024)), T([1024, 1, 7, 7], f16), [1024], [1, 1], [3, 3], [1, 1], False, [0, 0], 1024, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/resnest101e | ((T([32, 1024, 8, 8], f16), T([32, 512, 8, 8], f16), T([1024, 256, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 2, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/dpn107 | ((T([32, 1088, 14, 14], f16), T([32, 800, 14, 14], f16), T([1088, 800, 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, 112, 1, 1], f16), T([32, 448, 1, 1], f16), T([112, 448, 1, 1], f16), [112], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_regnet | ((T([32, 112, 1, 1], f16), T([32, 896, 1, 1], f16), T([112, 896, 1, 1], f16), [112], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/mobilenet_v3_large | ((T([32, 112, 14, 14], f16), T([32, 480, 14, 14], f16), T([112, 480, 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, 112, 14, 14], f16), T([32, 480, 14, 14], f16), T([112, 480, 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, 112, 14, 14], f16), T([32, 672, 14, 14], f16), T([112, 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, 112, 14, 14], f16), T([32, 672, 14, 14], f16), T([112, 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, 1152, 1, 1], f16), T([32, 48, 1, 1], f16), T([1152, 48, 1, 1], f16), [1152], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/dpn107 | ((T([32, 1152, 14, 14], f16), T([32, 1152, 28, 28], f16), T([1152, 1152, 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, 1152, 7, 7], f16), T([32, 1152, 7, 7], f16), T([1152, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1152, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientnet | ((T([32, 1152, 7, 7], f16), T([32, 1152, 7, 7], f16), T([1152, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1152, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/mnasnet1_0 | ((T([32, 1152, 7, 7], f16), T([32, 1152, 7, 7], f16), T([1152, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 1152, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientnet | ((T([32, 1152, 7, 7], f16), T([32, 1152, 7, 7], f16), T([1152, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 1152, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/mnasnet1_0 | ((T([32, 1152, 7, 7], f16), T([32, 192, 7, 7], f16), T([1152, 192, 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, 1152, 7, 7], f16), T([32, 192, 7, 7], f16), T([1152, 192, 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, 120, 1, 1], f16), T([32, 32, 1, 1], f16), T([120, 32, 1, 1], f16), [120], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/mobilenet_v3_large | ((T([32, 120, 1, 1], f16), T([32, 480, 1, 1], f16), T([120, 480, 1, 1], f16), [120], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/mnasnet1_0 | ((T([32, 120, 28, 28], f16), T([32, 120, 28, 28], f16), T([120, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 120, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/mobilenet_v3_large | ((T([32, 120, 28, 28], f16), T([32, 120, 28, 28], f16), T([120, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 120, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/mnasnet1_0 | ((T([32, 120, 28, 28], f16), T([32, 40, 28, 28], f16), T([120, 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, 120, 28, 28], f16), T([32, 40, 28, 28], f16), T([120, 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, 128, 1, 1], f16), T([32, 2048, 1, 1], f16), T([128, 2048, 1, 1], f16), [128], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/legacy_senet154 | ((T([32, 128, 1, 1], f16), T([32, 2048, 1, 1], f16), T([128, 2048, 1, 1], f16), [128], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/resnest101e | ((T([32, 128, 1, 1], f16), T([32, 256, 1, 1], f16), T([128, 256, 1, 1], f16), [128], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_resnest | ((T([32, 128, 1, 1], f16), T([32, 256, 1, 1], f16), T([128, 256, 1, 1], f16), [128], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/resnest101e | ((T([32, 128, 1, 1], f16), T([32, 32, 1, 1], f16), T([128, 32, 1, 1], f16), [128], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_resnest | ((T([32, 128, 1, 1], f16), T([32, 32, 1, 1], f16), T([128, 32, 1, 1], f16), [128], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/dpn107 | ((T([32, 128, 112, 112], f16), T([32, 3, 224, 224], f16), T([128, 3, 7, 7], f16), [0], [2, 2], [3, 3], [1, 1], False, [0, 0], 1, [False, True, False]), {}) |
aten.convolution_backward.default | TIMM/gluon_senet154 | ((T([32, 128, 112, 112], f16), T([32, 64, 112, 112], f16), T([128, 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, 128, 112, 112], f16), T([32, 64, 112, 112], f16), T([128, 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, 128, 128, 128], f16), T([32, 64, 128, 128], f16), T([128, 64, 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, 128, 150, 150], f16), T([32, 128, 150, 150], 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, 150, 150], f16), T([32, 128, 150, 150], 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, 150, 150], f16), T([32, 64, 150, 150], f16), T([128, 64, 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, 128, 16, 16], f16), T([32, 64, 32, 32], f16), T([128, 64, 4, 4], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/squeezenet1_1 | ((T([32, 128, 27, 27], f16), T([32, 32, 27, 27], f16), T([128, 32, 1, 1], f16), [128], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/squeezenet1_1 | ((T([32, 128, 27, 27], f16), T([32, 32, 27, 27], f16), T([128, 32, 3, 3], f16), [128], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/resnet50 | ((T([32, 128, 28, 28], f16), T([32, 128, 28, 28], 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/twins_pcpvt_base | ((T([32, 128, 28, 28], f16), T([32, 128, 28, 28], f16, stride=(100352, 1, 3584, 128)), T([128, 1, 3, 3], f16), [128], [1, 1], [1, 1], [1, 1], False, [0, 0], 128, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/resnet50 | ((T([32, 128, 28, 28], f16), T([32, 128, 56, 56], f16), T([128, 128, 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, 128, 28, 28], f16), T([32, 512, 28, 28], f16), T([128, 512, 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, 128, 28, 28], f16), T([32, 64, 56, 56], f16), T([128, 64, 2, 2], f16), [128], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/resnest101e | ((T([32, 128, 32, 32], f16), T([32, 512, 32, 32], f16), T([128, 512, 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, 128, 56, 56], f16), T([32, 128, 56, 56], 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/legacy_senet154 | ((T([32, 128, 56, 56], f16), T([32, 128, 56, 56], f16), T([128, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
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