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Bias updates bug fix

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This commit is contained in:
Joseph Redmon
2015-01-27 13:31:06 -08:00
parent 809f924db2
commit 153705226d
9 changed files with 52 additions and 30 deletions
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18
src/convolutional_kernels.cu
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@ -32,7 +32,7 @@ __global__ void learn_bias(int batch, int n, int size, float *delta, float *bias
{
__shared__ float part[BLOCK];
int i,b;
int filter = (blockIdx.x + blockIdx.y*gridDim.x);
int filter = blockIdx.x;
int p = threadIdx.x;
float sum = 0;
for(b = 0; b < batch; ++b){
@ -52,8 +52,7 @@ extern "C" void learn_bias_convolutional_layer_ongpu(convolutional_layer layer)
{
int size = convolutional_out_height(layer)*convolutional_out_width(layer);
learn_bias<<<cuda_gridsize(layer.n), BLOCK>>>(layer.batch, layer.n, size, layer.delta_gpu, layer.bias_updates_gpu);
learn_bias<<<layer.n, BLOCK>>>(layer.batch, layer.n, size, layer.delta_gpu, layer.bias_updates_gpu);
check_error(cudaPeekAtLastError());
}
@ -96,9 +95,6 @@ extern "C" void forward_convolutional_layer_gpu(convolutional_layer layer, float
gemm_ongpu(0,0,m,n,k,1.,a,k,b,n,1.,c+i*m*n,n);
}
activate_array_ongpu(layer.output_gpu, m*n*layer.batch, layer.activation);
cuda_pull_array(layer.output_gpu, layer.output, m*n*layer.batch);
//for(i = 0; i < m*n*layer.batch; ++i) printf("%f, ", layer.output[i]);
//printf("\n");
}
extern "C" void backward_convolutional_layer_gpu(convolutional_layer layer, float *in, float *delta_gpu)
@ -153,6 +149,16 @@ extern "C" void push_convolutional_layer(convolutional_layer layer)
extern "C" void update_convolutional_layer_gpu(convolutional_layer layer)
{
int size = layer.size*layer.size*layer.c*layer.n;
/*
cuda_pull_array(layer.bias_updates_gpu, layer.bias_updates, layer.n);
cuda_pull_array(layer.biases_gpu, layer.biases, layer.n);
cuda_pull_array(layer.filter_updates_gpu, layer.filter_updates, size);
cuda_pull_array(layer.filters_gpu, layer.filters, size);
printf("Bias: %f updates: %f\n", mse_array(layer.biases, layer.n), mse_array(layer.bias_updates, layer.n));
printf("Filter: %f updates: %f\n", mse_array(layer.filters, layer.n), mse_array(layer.filter_updates, layer.n));
*/
axpy_ongpu(layer.n, layer.learning_rate, layer.bias_updates_gpu, 1, layer.biases_gpu, 1);
scal_ongpu(layer.n,layer.momentum, layer.bias_updates_gpu, 1);