caffe 学习之LayerParameter

proto描述为传送门.
一般地，除去具体层类型参数外，需要写的layerParameter有

name:type:bottom:(repeated)top:(repeated)loss_weight:param:(ParamSpec)propagate_down:include:transform_param:loss_param:

设计到的相关message有

所有的参数如下：

message LayerParameter {  optional string name = 1; // the layer name  optional string type = 2; // the layer type  repeated string bottom = 3; // the name of each bottom blob  repeated string top = 4; // the name of each top blob  // The train / test phase for computation.  optional Phase phase = 10;  // The amount of weight to assign each top blob in the objective.  // Each layer assigns a default value, usually of either 0 or 1,  // to each top blob.  repeated float loss_weight = 5;  // Specifies training parameters (multipliers on global learning constants,  // and the name and other settings used for weight sharing).  repeated ParamSpec param = 6;  // The blobs containing the numeric parameters of the layer.  repeated BlobProto blobs = 7;  // Specifies whether to backpropagate to each bottom. If unspecified,  // Caffe will automatically infer whether each input needs backpropagation  // to compute parameter gradients. If set to true for some inputs,  // backpropagation to those inputs is forced; if set false for some inputs,  // backpropagation to those inputs is skipped.  //  // The size must be either 0 or equal to the number of bottoms.  repeated bool propagate_down = 11;  // Rules controlling whether and when a layer is included in the network,  // based on the current NetState.  You may specify a non-zero number of rules  // to include OR exclude, but not both.  If no include or exclude rules are  // specified, the layer is always included.  If the current NetState meets  // ANY (i.e., one or more) of the specified rules, the layer is  // included/excluded.  repeated NetStateRule include = 8;  repeated NetStateRule exclude = 9;  // Parameters for data pre-processing.  optional TransformationParameter transform_param = 100;  // Parameters shared by loss layers.  optional LossParameter loss_param = 101;  // Layer type-specific parameters.  //  // Note: certain layers may have more than one computational engine  // for their implementation. These layers include an Engine type and  // engine parameter for selecting the implementation.  // The default for the engine is set by the ENGINE switch at compile-time.  optional AccuracyParameter accuracy_param = 102;  optional ArgMaxParameter argmax_param = 103;  optional BatchNormParameter batch_norm_param = 139;  optional BiasParameter bias_param = 141;  optional ConcatParameter concat_param = 104;  optional ContrastiveLossParameter contrastive_loss_param = 105;  optional ConvolutionParameter convolution_param = 106;  optional CropParameter crop_param = 144;  optional DataParameter data_param = 107;  optional DropoutParameter dropout_param = 108;  optional DummyDataParameter dummy_data_param = 109;  optional EltwiseParameter eltwise_param = 110;  optional ELUParameter elu_param = 140;  optional EmbedParameter embed_param = 137;  optional ExpParameter exp_param = 111;  optional FlattenParameter flatten_param = 135;  optional HDF5DataParameter hdf5_data_param = 112;  optional HDF5OutputParameter hdf5_output_param = 113;  optional HingeLossParameter hinge_loss_param = 114;  optional ImageDataParameter image_data_param = 115;  optional InfogainLossParameter infogain_loss_param = 116;  optional InnerProductParameter inner_product_param = 117;  optional InputParameter input_param = 143;  optional LogParameter log_param = 134;  optional LRNParameter lrn_param = 118;  optional MemoryDataParameter memory_data_param = 119;  optional MVNParameter mvn_param = 120;  optional ParameterParameter parameter_param = 145;  optional PoolingParameter pooling_param = 121;  optional PowerParameter power_param = 122;  optional PReLUParameter prelu_param = 131;  optional PythonParameter python_param = 130;  optional RecurrentParameter recurrent_param = 146;  optional ReductionParameter reduction_param = 136;  optional ReLUParameter relu_param = 123;  optional ReshapeParameter reshape_param = 133;  optional ScaleParameter scale_param = 142;  optional SigmoidParameter sigmoid_param = 124;  optional SoftmaxParameter softmax_param = 125;  optional SPPParameter spp_param = 132;  optional SliceParameter slice_param = 126;  optional TanHParameter tanh_param = 127;  optional ThresholdParameter threshold_param = 128;  optional TileParameter tile_param = 138;  optional WindowDataParameter window_data_param = 129;}