我尝试将预训练模型（VGG 16）用于DIGITS但是我遇到了这个错误。
错误：检查失败：错误== cudaSuccess（2对0）内存不足
和
conv2_2 does not need backward computation.
relu2_1 does not need backward computation.
conv2_1 does not need backward computation.
pool1 does not need backward computation.
relu1_2 does not need backward computation.
conv1_2 does not need backward computation.
relu1_1 does not need backward computation.
conv1_1 does not need backward computation.
data does not need backward computation.
This network produces output label
This network produces output softmax
Network initialization done.
Solver scaffolding done.
Finetuning from /home/digits/digits/jobs/20161020-095911-9d01/model.caffemodel
Attempting to upgrade input file specified using deprecated V1LayerParameter: /home/digits/digits/jobs/20161020-095911-9d01/model.caffemodel
Successfully upgraded file specified using deprecated V1LayerParameter
Attempting to upgrade input file specified using deprecated input fields: /home/digits/digits/jobs/20161020-095911-9d01/model.caffemodel
Successfully upgraded file specified using deprecated input fields.
Note that future Caffe releases will only support input layers and not input fields.
Check failed: error == cudaSuccess (2 vs. 0) out of memory
我已成功将deploy.prototxt和VGG_ILSVRC_16_layers.caffemodel以及synset_words.txt上传到DIGITS，并使用我的数据集进行测试，该数据集包含两个类。
答案 0 :(得分：2)
有时digits-server无法清除记忆。如果您使用的是ubuntu，请尝试使用此命令：
sudo restart nvidia-digits-server
如果这不起作用并再次面对同样的情况，则需要减少batch_size