我想访问solver.prototxt参数如base_lr（基础学习率）或weight_decay来自Python代码。
有什么方法可以从solver.net目的 ？
谢谢
根据本教程 http://nbviewer.jupyter.org/github/BVLC/caffe/blob/master/examples/01-learning-lenet.ipynb，您可以通过以下方式访问它：
### define solver
from caffe.proto import caffe_pb2
s = caffe_pb2.SolverParameter()
# Set a seed for reproducible experiments:
# this controls for randomization in training.
s.random_seed = 0xCAFFE
# Specify locations of the train and (maybe) test networks.
s.train_net = train_net_path
s.test_net.append(test_net_path)
s.test_interval = 500 # Test after every 500 training iterations.
s.test_iter.append(100) # Test on 100 batches each time we test.
s.max_iter = 10000 # no. of times to update the net (training iterations)
# EDIT HERE to try different solvers
# solver types include "SGD", "Adam", and "Nesterov" among others.
s.type = "SGD"
# Set the initial learning rate for SGD.
s.base_lr = 0.01 # EDIT HERE to try different learning rates
etc.
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