Pytorch model eval 5). train() on these layers only after calling model. However, once the training is done, how do you do the evaluation? When train on 2 nodes with 4 GPUs each, and have dist. Module, for example: model = torchvision. However, in the test phase, my code is: from efficientdet. eval( ) 是利用到了所有网络连接，即不进行随机舍弃神经元。 为 May 1, 2020 · 3. eval() 当调用model. eval() and model. , perform evaluation without executing model. It’s like the network is not learning at all. dnutolzaqhyipaegsefjhcwfjgjozzltiqphvyhbnqwioiqclaobiiaipjhmxmgjdimamzmzdkxarheniyyjae