caffe 学习之ParamSpec

proto描述在传送门。

一个简短的描述为：

lr_mult: float(default=1.0)decay_mult: float(default=1.0)#不常用share_mode： DimCheckMode

所有的参数为：

// Specifies training parameters (multipliers on global learning constants,// and the name and other settings used for weight sharing).message ParamSpec {  // The names of the parameter blobs -- useful for sharing parameters among  // layers, but never required otherwise.  To share a parameter between two  // layers, give it a (non-empty) name.  optional string name = 1;  // Whether to require shared weights to have the same shape, or just the same  // count -- defaults to STRICT if unspecified.  optional DimCheckMode share_mode = 2;  enum DimCheckMode {    // STRICT (default) requires that num, channels, height, width each match.    STRICT = 0;    // PERMISSIVE requires only the count (num*channels*height*width) to match.    PERMISSIVE = 1;  }  // The multiplier on the global learning rate for this parameter.  optional float lr_mult = 3 [default = 1.0];  // The multiplier on the global weight decay for this parameter.  optional float decay_mult = 4 [default = 1.0];}