Comments (3)
youzhaxiaomayi
commented on May 18, 2024
我也是多卡训练报错，你找到原因了吗
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IsDora
commented on May 18, 2024
你们的问题解决了吗，加入DataParallel后没报错，但是用nvidia-smi查看，还是只运行了0号GPU，求解答
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IsDora
commented on May 18, 2024
我加入Dataparallel后报错，缺少load_darknet_weights，我把这个函数加入Dataparallel后又接着报其他错。请问有没有成功使用多GPU训练的
报这个错需要加上一句话：
if isinstance（model，torch.nn.DataParallel）:
model = model.module
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Related Issues (20)
- 精度过低
- 能用于别的模型么？比如bisenet
- 推理速度 自测是22ms左右，不是7ms
- 请问如果训练多个类别，该如何配置？看标签文件没有写类别，是只能训练一类吗？
- 剪枝后FPS速度问题 HOT 2
- train.py训练完为啥没有选出一个最优的yolov3_ckpt.pth额，只是生成了一系列不同epoch的pth
- 请问这里用于稀疏化训练的预训练权重可以是之前训练好的模型吗？ HOT 1
- "Channels would be all pruned!"
- 求FLOPS代码位置 HOT 1
- 减枝完，检测不到结果
- prune_model_keep_size 只是将model中冗余的通道通过mask置零，并没有真正的剪掉这些通道？ HOT 1
- Cooperation Proposal: Lam1360/YOLOv3-model-pruning & PaddlePaddle
- 模型裁剪以后重新训练可以生成新的pth, 但是同时生成.weights文件报错。
- 这个模型适用于其他crnn结构嘛？
- 训练时候cls_acc一直是100% HOT 1
- 为什么上一层丢掉的权重，下一层的BN层runing_meaning要减去offset
- 为什么跑的这个数据集的结果只有map0.68，作者写的0.75 HOT 1
- 为什么会出现No such file or directory: 'data\\images\\train\\Buffy_1.jpg'
- 为什么剪枝后的 sample_metrics 为空 HOT 2
- 请问大家检测速度的代码在哪里啊？没有看到
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