caffe的python接口学习（12）：查看属性、方法以及函数参数

1.使用dir命令查看属性和方法

dir(solver.net)

"""
查看 sovler.net 属性
'forward': 前向传播
'backward': 反向传播
'params': 保存各层的参数值（w和b)
'blobs': 保存各层的数据值
'bottom_names': 每一层中底层的名称
'top_names': 每一层中顶层的名称
'inputs': 输入
'outputs': 输出
'blob_loss_weights':
'clear_param_diffs':
'copy_from': 拷贝权重
'forward_all': 批量前向传播
'forward_backward_all': 批量反向传播
'layers':
'load_hdf5'
'reshape':
'save':
'save_hdf5':
'set_input_arrays':
'share_with'
"""

dir(sovler.net.blobs)

dir(solver.net.params)

"""
查看 blobs,param 属性
'clear':
'copy':
'fromkeys':
'get':
'has_key':
'items':
'iteritems':
'iterkeys':
'itervalus':
'keys':
'pop':
'popitem':
'values':
'update'
'viewitems':
'viewkeys':
'viewvalus':
"""

2.使用help()查看函数的输入和输出

help(solver.net.forward)

help(solver.net.forward_all)

Help on method
_Net_forward_all in module caffe.pycaffe:

_Net_forward_all(self, blobs=None, **kwargs) method of caffe._caffe.Net instance
Run net forward in batches.

Parameters
----------
blobs : list of blobs to extract as in forward()
kwargs : Keys are input blob names and values are blob ndarrays.
Refer to forward().

Returns
-------
all_outs : {blob name: list of blobs} dict.

None
Help on method
_Net_forward in module caffe.pycaffe:

_Net_forward(self, blobs=None, start=None, end=None, **kwargs) method of caffe._caffe.Net instance
Forward pass: prepare inputs and run the net forward.

Parameters
----------
blobs : list of blobs to return in addition to output blobs.
kwargs : Keys are input blob names and values are blob ndarrays.
For formatting inputs for Caffe, see Net.preprocess().
If None, input is taken from data layers.
start : optional name of layer at which to begin the forward pass
end : optional name of layer at which to finish the forward pass
(inclusive)

Returns
-------
outs : {blob name: blob ndarray} dict.

None