python - Caffe:如何通过代码获取 `solver.prototxt`参数？

Question

我想从 python 代码访问 solver.prototxt 参数，例如 base_lr(基础学习率)或 weight_decay。

有没有办法从 solver.net 对象访问这些？

谢谢

Answer 1

根据 this tutorial ，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

等等