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going to break stuff

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This commit is contained in:
Joseph Redmon
2015-03-22 21:28:45 -07:00
parent 664c5dd2f2
commit 7100de0b59
5 changed files with 21 additions and 38 deletions
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14
src/convolutional_kernels.cu
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@ -17,7 +17,7 @@ __global__ void bias_output_kernel(float *output, float *biases, int n, int size
if(offset < size) output[(batch*n+filter)*size + offset] = biases[filter];
}
extern "C" void bias_output_gpu(float *output, float *biases, int batch, int n, int size)
void bias_output_gpu(float *output, float *biases, int batch, int n, int size)
{
dim3 dimBlock(BLOCK, 1, 1);
dim3 dimGrid((size-1)/BLOCK + 1, n, batch);
@ -46,13 +46,13 @@ __global__ void backward_bias_kernel(float *bias_updates, float *delta, int batc
}
}
extern "C" void backward_bias_gpu(float *bias_updates, float *delta, int batch, int n, int size)
void backward_bias_gpu(float *bias_updates, float *delta, int batch, int n, int size)
{
backward_bias_kernel<<<n, BLOCK>>>(bias_updates, delta, batch, n, size, 1);
check_error(cudaPeekAtLastError());
}
extern "C" void forward_convolutional_layer_gpu(convolutional_layer layer, network_state state)
void forward_convolutional_layer_gpu(convolutional_layer layer, network_state state)
{
int i;
int m = layer.n;
@ -71,7 +71,7 @@ extern "C" void forward_convolutional_layer_gpu(convolutional_layer layer, netwo
activate_array_ongpu(layer.output_gpu, m*n*layer.batch, layer.activation);
}
extern "C" void backward_convolutional_layer_gpu(convolutional_layer layer, network_state state)
void backward_convolutional_layer_gpu(convolutional_layer layer, network_state state)
{
int i;
int m = layer.n;
@ -105,7 +105,7 @@ extern "C" void backward_convolutional_layer_gpu(convolutional_layer layer, netw
}
}
extern "C" void pull_convolutional_layer(convolutional_layer layer)
void pull_convolutional_layer(convolutional_layer layer)
{
cuda_pull_array(layer.filters_gpu, layer.filters, layer.c*layer.n*layer.size*layer.size);
cuda_pull_array(layer.biases_gpu, layer.biases, layer.n);
@ -113,7 +113,7 @@ extern "C" void pull_convolutional_layer(convolutional_layer layer)
cuda_pull_array(layer.bias_updates_gpu, layer.bias_updates, layer.n);
}
extern "C" void push_convolutional_layer(convolutional_layer layer)
void push_convolutional_layer(convolutional_layer layer)
{
cuda_push_array(layer.filters_gpu, layer.filters, layer.c*layer.n*layer.size*layer.size);
cuda_push_array(layer.biases_gpu, layer.biases, layer.n);
@ -121,7 +121,7 @@ extern "C" void push_convolutional_layer(convolutional_layer layer)
cuda_push_array(layer.bias_updates_gpu, layer.bias_updates, layer.n);
}
extern "C" void update_convolutional_layer_gpu(convolutional_layer layer, int batch, float learning_rate, float momentum, float decay)
void update_convolutional_layer_gpu(convolutional_layer layer, int batch, float learning_rate, float momentum, float decay)
{
int size = layer.size*layer.size*layer.c*layer.n;