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| #ifndef BASE_LAYER_H
| #define BASE_LAYER_H
|
| #include "activations.h"
|
| typedef enum {
| CONVOLUTIONAL,
| DECONVOLUTIONAL,
| CONNECTED,
| MAXPOOL,
| SOFTMAX,
| DETECTION,
| DROPOUT,
| CROP,
| ROUTE,
| COST,
| NORMALIZATION
| } LAYER_TYPE;
|
| typedef enum{
| SSE, MASKED
| } COST_TYPE;
|
| typedef struct {
| LAYER_TYPE type;
| ACTIVATION activation;
| COST_TYPE cost_type;
| int batch;
| int inputs;
| int outputs;
| int h,w,c;
| int out_h, out_w, out_c;
| int n;
| int groups;
| int size;
| int stride;
| int pad;
| int crop_width;
| int crop_height;
| int flip;
| float angle;
| float saturation;
| float exposure;
| int classes;
| int coords;
| int background;
| int rescore;
| int objectness;
| int does_cost;
| int joint;
|
| float alpha;
| float beta;
| float kappa;
|
| int dontload;
|
| float probability;
| float scale;
| int *indexes;
| float *rand;
| float *cost;
| float *filters;
| float *filter_updates;
|
| float *biases;
| float *bias_updates;
|
| float *weights;
| float *weight_updates;
|
| float *col_image;
| int * input_layers;
| int * input_sizes;
| float * delta;
| float * output;
| float * squared;
| float * norms;
|
| #ifdef GPU
| int *indexes_gpu;
| float * filters_gpu;
| float * filter_updates_gpu;
|
| float * col_image_gpu;
|
| float * weights_gpu;
| float * biases_gpu;
|
| float * weight_updates_gpu;
| float * bias_updates_gpu;
|
| float * output_gpu;
| float * delta_gpu;
| float * rand_gpu;
| float * squared_gpu;
| float * norms_gpu;
| #endif
| } layer;
|
| #endif
|
|
