mirror of https://github.com/pjreddie/darknet.git
140 lines
4.6 KiB
Plaintext
140 lines
4.6 KiB
Plaintext
#include "cuda_runtime.h"
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#include "curand.h"
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#include "cublas_v2.h"
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extern "C" {
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#include "convolutional_layer.h"
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#include "deconvolutional_layer.h"
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#include "batchnorm_layer.h"
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#include "gemm.h"
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#include "blas.h"
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#include "im2col.h"
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#include "col2im.h"
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#include "utils.h"
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#include "cuda.h"
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}
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extern "C" void forward_deconvolutional_layer_gpu(layer l, network net)
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{
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int i;
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int m = l.size*l.size*l.n;
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int n = l.h*l.w;
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int k = l.c;
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fill_gpu(l.outputs*l.batch, 0, l.output_gpu, 1);
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for(i = 0; i < l.batch; ++i){
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float *a = l.weights_gpu;
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float *b = net.input_gpu + i*l.c*l.h*l.w;
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float *c = net.workspace;
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gemm_gpu(1,0,m,n,k,1,a,m,b,n,0,c,n);
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col2im_gpu(net.workspace, l.out_c, l.out_h, l.out_w, l.size, l.stride, l.pad, l.output_gpu+i*l.outputs);
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}
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if (l.batch_normalize) {
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forward_batchnorm_layer_gpu(l, net);
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} else {
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add_bias_gpu(l.output_gpu, l.biases_gpu, l.batch, l.n, l.out_w*l.out_h);
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}
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activate_array_gpu(l.output_gpu, l.batch*l.n*l.out_w*l.out_h, l.activation);
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}
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extern "C" void backward_deconvolutional_layer_gpu(layer l, network net)
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{
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int i;
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//constrain_gpu(l.outputs*l.batch, 1, l.delta_gpu, 1);
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gradient_array_gpu(l.output_gpu, l.outputs*l.batch, l.activation, l.delta_gpu);
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if(l.batch_normalize){
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backward_batchnorm_layer_gpu(l, net);
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} else {
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backward_bias_gpu(l.bias_updates_gpu, l.delta_gpu, l.batch, l.n, l.out_w*l.out_h);
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}
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//if(net.delta_gpu) memset(net.delta_gpu, 0, l.batch*l.h*l.w*l.c*sizeof(float));
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for(i = 0; i < l.batch; ++i){
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int m = l.c;
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int n = l.size*l.size*l.n;
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int k = l.h*l.w;
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float *a = net.input_gpu + i*m*k;
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float *b = net.workspace;
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float *c = l.weight_updates_gpu;
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im2col_gpu(l.delta_gpu + i*l.outputs, l.out_c, l.out_h, l.out_w,
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l.size, l.stride, l.pad, b);
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gemm_gpu(0,1,m,n,k,1,a,k,b,k,1,c,n);
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if(net.delta_gpu){
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int m = l.c;
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int n = l.h*l.w;
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int k = l.size*l.size*l.n;
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float *a = l.weights_gpu;
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float *b = net.workspace;
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float *c = net.delta_gpu + i*n*m;
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gemm_gpu(0,0,m,n,k,1,a,k,b,n,1,c,n);
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}
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}
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}
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extern "C" void pull_deconvolutional_layer(layer l)
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{
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cuda_pull_array(l.weights_gpu, l.weights, l.c*l.n*l.size*l.size);
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cuda_pull_array(l.biases_gpu, l.biases, l.n);
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cuda_pull_array(l.weight_updates_gpu, l.weight_updates, l.c*l.n*l.size*l.size);
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cuda_pull_array(l.bias_updates_gpu, l.bias_updates, l.n);
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if (l.batch_normalize){
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cuda_pull_array(l.scales_gpu, l.scales, l.n);
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cuda_pull_array(l.rolling_mean_gpu, l.rolling_mean, l.n);
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cuda_pull_array(l.rolling_variance_gpu, l.rolling_variance, l.n);
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}
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}
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extern "C" void push_deconvolutional_layer(layer l)
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{
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cuda_push_array(l.weights_gpu, l.weights, l.c*l.n*l.size*l.size);
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cuda_push_array(l.biases_gpu, l.biases, l.n);
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cuda_push_array(l.weight_updates_gpu, l.weight_updates, l.c*l.n*l.size*l.size);
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cuda_push_array(l.bias_updates_gpu, l.bias_updates, l.n);
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if (l.batch_normalize){
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cuda_push_array(l.scales_gpu, l.scales, l.n);
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cuda_push_array(l.rolling_mean_gpu, l.rolling_mean, l.n);
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cuda_push_array(l.rolling_variance_gpu, l.rolling_variance, l.n);
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}
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}
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void update_deconvolutional_layer_gpu(layer l, update_args a)
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{
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float learning_rate = a.learning_rate*l.learning_rate_scale;
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float momentum = a.momentum;
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float decay = a.decay;
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int batch = a.batch;
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if(a.adam){
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adam_update_gpu(l.weights_gpu, l.weight_updates_gpu, l.m_gpu, l.v_gpu, a.B1, a.B2, a.eps, decay, learning_rate, l.nweights, batch, a.t);
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adam_update_gpu(l.biases_gpu, l.bias_updates_gpu, l.bias_m_gpu, l.bias_v_gpu, a.B1, a.B2, a.eps, decay, learning_rate, l.n, batch, a.t);
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if(l.scales_gpu){
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adam_update_gpu(l.scales_gpu, l.scale_updates_gpu, l.scale_m_gpu, l.scale_v_gpu, a.B1, a.B2, a.eps, decay, learning_rate, l.n, batch, a.t);
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}
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}else{
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axpy_gpu(l.nweights, -decay*batch, l.weights_gpu, 1, l.weight_updates_gpu, 1);
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axpy_gpu(l.nweights, learning_rate/batch, l.weight_updates_gpu, 1, l.weights_gpu, 1);
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scal_gpu(l.nweights, momentum, l.weight_updates_gpu, 1);
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axpy_gpu(l.n, learning_rate/batch, l.bias_updates_gpu, 1, l.biases_gpu, 1);
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scal_gpu(l.n, momentum, l.bias_updates_gpu, 1);
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if(l.scales_gpu){
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axpy_gpu(l.n, learning_rate/batch, l.scale_updates_gpu, 1, l.scales_gpu, 1);
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scal_gpu(l.n, momentum, l.scale_updates_gpu, 1);
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}
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}
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}
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