operator name stringclasses 180
values | used in model stringclasses 155
values | args stringlengths 19 5.24k |
|---|---|---|
aten.convolution_backward.default | TIMM/mixnet_l | ((T([64, 64, 56, 56], f16, stride=(602112, 3136, 56, 1)), T([64, 64, 112, 112], f16, stride=(2408448, 12544, 112, 1)), T([64, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 64, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/mixnet_l | ((T([64, 64, 56, 56], f16, stride=(602112, 3136, 56, 1)), T([64, 64, 112, 112], f16, stride=(2408448, 12544, 112, 1)), T([64, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 64, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/mixnet_l | ((T([64, 64, 56, 56], f16, stride=(602112, 3136, 56, 1)), T([64, 64, 112, 112], f16, stride=(2408448, 12544, 112, 1)), T([64, 1, 7, 7], f16), [0], [2, 2], [3, 3], [1, 1], False, [0, 0], 64, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/tf_mixnet_l | ((T([64, 64, 56, 56], f16, stride=(602112, 3136, 56, 1)), T([64, 64, 113, 113], f16), T([64, 1, 3, 3], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 64, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/tf_mixnet_l | ((T([64, 64, 56, 56], f16, stride=(602112, 3136, 56, 1)), T([64, 64, 115, 115], f16), T([64, 1, 5, 5], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 64, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/tf_mixnet_l | ((T([64, 64, 56, 56], f16, stride=(602112, 3136, 56, 1)), T([64, 64, 117, 117], f16), T([64, 1, 7, 7], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 64, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/mobilevit_s | ((T([64, 64, 64, 64], f16), T([64, 128, 64, 64], f16), T([64, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/mobilevit_s | ((T([64, 64, 64, 64], f16), T([64, 256, 64, 64], f16), T([64, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/sebotnet33ts_256 | ((T([64, 64, 64, 64], f16), T([64, 256, 64, 64], f16), T([64, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/sebotnet33ts_256 | ((T([64, 64, 64, 64], f16), T([64, 32, 128, 128], f16), T([64, 32, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/cspdarknet53 | ((T([64, 64, 64, 64], f16), T([64, 64, 64, 64], f16), T([64, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/sebotnet33ts_256 | ((T([64, 64, 64, 64], f16), T([64, 64, 64, 64], f16), T([64, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/cspdarknet53 | ((T([64, 64, 64, 64], f16), T([64, 64, 64, 64], 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/sebotnet33ts_256 | ((T([64, 64, 64, 64], f16), T([64, 64, 64, 64], 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/cspdarknet53 | ((T([64, 64, 64, 64], f16), T([64, 64, 64, 64], f16, stride=(524288, 4096, 64, 1)), T([64, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/mobilevit_s | ((T([64, 640, 8, 8], f16), T([64, 160, 8, 8], f16), T([640, 160, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/mixer_b16_224 | ((T([64, 768, 14, 14], f16, stride=(150528, 1, 10752, 768)), T([64, 3, 224, 224], f16), T([768, 3, 16, 16], f16), [768], [16, 16], [0, 0], [1, 1], False, [0, 0], 1, [False, True, True]), {}) |
aten.convolution_backward.default | TIMM/beit_base_patch16_224 | ((T([64, 768, 14, 14], f16, stride=(151296, 1, 10752, 768)), T([64, 3, 224, 224], f16), T([768, 3, 16, 16], f16), [768], [16, 16], [0, 0], [1, 1], False, [0, 0], 1, [False, True, True]), {}) |
aten.convolution_backward.default | TIMM/vit_base_patch16_224 | ((T([64, 768, 14, 14], f16, stride=(151296, 1, 10752, 768)), T([64, 3, 224, 224], f16), T([768, 3, 16, 16], f16), [768], [16, 16], [0, 0], [1, 1], False, [0, 0], 1, [False, True, True]), {}) |
aten.convolution_backward.default | TIMM/deit_base_distilled_patch16_224 | ((T([64, 768, 14, 14], f16, stride=(152064, 1, 10752, 768)), T([64, 3, 224, 224], f16), T([768, 3, 16, 16], f16), [768], [16, 16], [0, 0], [1, 1], False, [0, 0], 1, [False, True, True]), {}) |
aten.convolution_backward.default | TIMM/sebotnet33ts_256 | ((T([64, 768, 16, 16], f16), T([64, 256, 16, 16], f16), T([768, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/poolformer_m36 | ((T([64, 768, 28, 28], f16), T([64, 192, 28, 28], f16), T([768, 192, 1, 1], f16), [768], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/poolformer_m36 | ((T([64, 768, 7, 7], f16), T([64, 3072, 7, 7], f16), T([768, 3072, 1, 1], f16), [768], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/poolformer_m36 | ((T([64, 768, 7, 7], f16), T([64, 384, 14, 14], f16), T([768, 384, 3, 3], f16), [768], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/sebotnet33ts_256 | ((T([64, 8, 1, 1], f16), T([64, 128, 1, 1], f16), T([8, 128, 1, 1], f16), [8], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/sebotnet33ts_256 | ((T([64, 8, 1, 1], f16), T([64, 64, 1, 1], f16), T([8, 64, 1, 1], f16), [8], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/mixnet_l | ((T([64, 80, 1, 1], f16), T([64, 480, 1, 1], f16), T([80, 480, 1, 1], f16), [80], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/tf_mixnet_l | ((T([64, 80, 1, 1], f16), T([64, 480, 1, 1], f16), T([80, 480, 1, 1], f16), [80], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/mixnet_l | ((T([64, 80, 1, 1], f16), T([64, 960, 1, 1], f16), T([80, 960, 1, 1], f16), [80], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/tf_mixnet_l | ((T([64, 80, 1, 1], f16), T([64, 960, 1, 1], f16), T([80, 960, 1, 1], f16), [80], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/mixnet_l | ((T([64, 80, 14, 14], f16, stride=(31360, 196, 14, 1)), T([64, 240, 14, 14], f16, stride=(94080, 196, 14, 1)), T([80, 240, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/tf_mixnet_l | ((T([64, 80, 14, 14], f16, stride=(31360, 196, 14, 1)), T([64, 240, 14, 14], f16, stride=(94080, 196, 14, 1)), T([80, 240, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/res2net101_26w_4s | ((T([64, 832, 14, 14], f16), T([64, 1024, 14, 14], f16), T([832, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/res2net101_26w_4s | ((T([64, 832, 7, 7], f16), T([64, 2048, 7, 7], f16), T([832, 2048, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/mixnet_l | ((T([64, 96, 112, 112], f16, stride=(2408448, 12544, 112, 1)), T([64, 16, 112, 112], f16, stride=(401408, 12544, 112, 1)), T([96, 16, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/tf_mixnet_l | ((T([64, 96, 112, 112], f16, stride=(2408448, 12544, 112, 1)), T([64, 16, 112, 112], f16, stride=(401408, 12544, 112, 1)), T([96, 16, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/mobilevit_s | ((T([64, 96, 32, 32], f16), T([64, 144, 32, 32], f16), T([96, 144, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/mobilevit_s | ((T([64, 96, 32, 32], f16), T([64, 192, 32, 32], f16), T([96, 192, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/mobilevit_s | ((T([64, 96, 32, 32], f16), T([64, 256, 32, 32], f16), T([96, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/mobilevit_s | ((T([64, 96, 32, 32], f16), T([64, 96, 32, 32], f16), T([96, 96, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/poolformer_m36 | ((T([64, 96, 56, 56], f16), T([64, 3, 224, 224], f16), T([96, 3, 7, 7], f16), [96], [4, 4], [2, 2], [1, 1], False, [0, 0], 1, [False, True, True]), {}) |
aten.convolution_backward.default | TIMM/poolformer_m36 | ((T([64, 96, 56, 56], f16), T([64, 384, 56, 56], f16), T([96, 384, 1, 1], f16), [96], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/mixnet_l | ((T([64, 960, 1, 1], f16), T([64, 80, 1, 1], f16), T([960, 80, 1, 1], f16), [960], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/tf_mixnet_l | ((T([64, 960, 1, 1], f16), T([64, 80, 1, 1], f16), T([960, 80, 1, 1], f16), [960], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/mixnet_l | ((T([64, 960, 14, 14], f16), T([64, 160, 14, 14], f16), T([960, 160, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/tf_mixnet_l | ((T([64, 960, 14, 14], f16), T([64, 160, 14, 14], f16), T([960, 160, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/yolov3 | ((T([8, 1024, 12, 16], f16), T([8, 512, 12, 16], f16), T([1024, 512, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/yolov3 | ((T([8, 1024, 12, 16], f16), T([8, 512, 24, 32], 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 | TorchBench/resnext50_32x4d | ((T([8, 1024, 14, 14], f16), T([8, 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 | TorchBench/resnext50_32x4d | ((T([8, 1024, 14, 14], f16), T([8, 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 | TorchBench/resnext50_32x4d | ((T([8, 1024, 14, 14], f16), T([8, 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/resnext50_32x4d | ((T([8, 1024, 7, 7], f16), T([8, 1024, 14, 14], 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 | TorchBench/resnext50_32x4d | ((T([8, 1024, 7, 7], f16), T([8, 1024, 7, 7], 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 | TorchBench/resnext50_32x4d | ((T([8, 1024, 7, 7], f16), T([8, 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/yolov3 | ((T([8, 128, 24, 32], f16), T([8, 256, 24, 32], 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/yolov3 | ((T([8, 128, 48, 64], f16), T([8, 256, 48, 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 | TorchBench/yolov3 | ((T([8, 128, 48, 64], f16), T([8, 384, 48, 64], f16), T([128, 384, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/resnext50_32x4d | ((T([8, 128, 56, 56], f16), T([8, 128, 56, 56], f16), T([128, 4, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 32, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/resnext50_32x4d | ((T([8, 128, 56, 56], f16), T([8, 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/resnext50_32x4d | ((T([8, 128, 56, 56], f16), T([8, 64, 56, 56], 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/yolov3 | ((T([8, 128, 96, 128], f16), T([8, 64, 192, 256], 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/yolov3 | ((T([8, 128, 96, 128], f16), T([8, 64, 96, 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 | TorchBench/resnext50_32x4d | ((T([8, 2048, 7, 7], f16), T([8, 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/resnext50_32x4d | ((T([8, 2048, 7, 7], f16), T([8, 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 | TorchBench/yolov3 | ((T([8, 255, 12, 16], f16), T([8, 1024, 12, 16], f16), T([255, 1024, 1, 1], f16), [255], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/yolov3 | ((T([8, 255, 24, 32], f16), T([8, 512, 24, 32], f16), T([255, 512, 1, 1], f16), [255], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/yolov3 | ((T([8, 255, 48, 64], f16), T([8, 256, 48, 64], f16), T([255, 256, 1, 1], f16), [255], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/yolov3 | ((T([8, 256, 12, 16], f16), T([8, 512, 12, 16], 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/yolov3 | ((T([8, 256, 24, 32], f16), T([8, 512, 24, 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 | TorchBench/yolov3 | ((T([8, 256, 24, 32], f16), T([8, 768, 24, 32], 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 | TorchBench/resnext50_32x4d | ((T([8, 256, 28, 28], f16), T([8, 256, 28, 28], f16), T([256, 8, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 32, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/resnext50_32x4d | ((T([8, 256, 28, 28], f16), T([8, 256, 56, 56], f16), T([256, 8, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 32, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/resnext50_32x4d | ((T([8, 256, 28, 28], f16), T([8, 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/yolov3 | ((T([8, 256, 48, 64], f16), T([8, 128, 48, 64], f16), T([256, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/yolov3 | ((T([8, 256, 48, 64], f16), T([8, 128, 96, 128], f16), T([256, 128, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/resnext50_32x4d | ((T([8, 256, 56, 56], f16), T([8, 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 | TorchBench/resnext50_32x4d | ((T([8, 256, 56, 56], f16), T([8, 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 | TorchBench/resnext50_32x4d | ((T([8, 256, 56, 56], f16), T([8, 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/yolov3 | ((T([8, 32, 192, 256], f16), T([8, 64, 192, 256], f16), T([32, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/yolov3 | ((T([8, 32, 384, 512], f16), T([8, 3, 384, 512], f16), T([32, 3, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_vision_transformer | ((T([8, 384, 14, 14], f16, stride=(75648, 1, 5376, 384)), T([8, 3, 224, 224], f16), T([384, 3, 16, 16], f16), [384], [16, 16], [0, 0], [1, 1], False, [0, 0], 1, [False, True, True]), {}) |
aten.convolution_backward.default | TorchBench/yolov3 | ((T([8, 512, 12, 16], f16), T([8, 1024, 12, 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 | TorchBench/yolov3 | ((T([8, 512, 12, 16], f16), T([8, 2048, 12, 16], 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/resnext50_32x4d | ((T([8, 512, 14, 14], f16), T([8, 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/resnext50_32x4d | ((T([8, 512, 14, 14], f16), T([8, 512, 14, 14], 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 | TorchBench/resnext50_32x4d | ((T([8, 512, 14, 14], f16), T([8, 512, 28, 28], f16), T([512, 16, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 32, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/yolov3 | ((T([8, 512, 24, 32], f16), T([8, 256, 24, 32], f16), T([512, 256, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/yolov3 | ((T([8, 512, 24, 32], f16), T([8, 256, 48, 64], 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 | TorchBench/resnext50_32x4d | ((T([8, 512, 28, 28], f16), T([8, 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 | TorchBench/resnext50_32x4d | ((T([8, 512, 28, 28], f16), T([8, 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/resnext50_32x4d | ((T([8, 512, 28, 28], f16), T([8, 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 | TorchBench/resnext50_32x4d | ((T([8, 64, 112, 112], f16), T([8, 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/yolov3 | ((T([8, 64, 192, 256], f16), T([8, 32, 192, 256], 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 | TorchBench/yolov3 | ((T([8, 64, 192, 256], f16), T([8, 32, 384, 512], f16), T([64, 32, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/yolov3 | ((T([8, 64, 96, 128], f16), T([8, 128, 96, 128], f16), T([64, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/LearningToPaint | ((T([96, 128, 16, 16], f16), T([96, 128, 16, 16], 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 | TorchBench/LearningToPaint | ((T([96, 128, 16, 16], f16), T([96, 64, 32, 32], 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/LearningToPaint | ((T([96, 128, 16, 16], f16), T([96, 64, 32, 32], 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/mobilenet_v2 | ((T([96, 1280, 7, 7], f16), T([96, 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/mobilenet_v2 | ((T([96, 144, 28, 28], f16), T([96, 144, 56, 56], f16), T([144, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 144, [True, True, False]), {}) |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.