RuntimeError: size mismatch, m1: [8 x 1], m2: [8 x 1] at /pytorch/aten/src/THC/generic/THCTensorMathBlas.cu:283

[kust-yhk]

您好，请问一下将Yolov4的骨干网络换成ghostnet后能进行稀疏化训练，通道剪枝时好像在生成模型时报错： Traceback (most recent call last): File "normal_prune.py", line 159, in pruned_model = prune_model_keep_size(model, prune_idx, CBL_idx, CBLidx2mask) File "/home/yhk/YOLOv4-GhostNet/utils/prune_utils.py", line 287, in prune_model_keep_size update_activation(i, pruned_model, activation, CBL_idx) File "/home/yhk/YOLOv4-GhostNet/utils/prune_utils.py", line 398, in update_activation offset = conv_sum.matmul(activation.reshape(-1, 1)).reshape(-1) RuntimeError: size mismatch, m1: [8 x 1], m2: [8 x 1] at /pytorch/aten/src/THC/generic/THCTensorMathBlas.cu:283 请问该如何解决