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Fixed memory allocation

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This commit is contained in:
AlexeyAB
2019-01-26 23:25:09 +03:00
parent 090d934c0f
commit 9576cd4d89
4 changed files with 38 additions and 21 deletions
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45
src/parser.c
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@ -844,32 +844,37 @@ network parse_network_cfg_custom(char *filename, int batch)
net.outputs = get_network_output_size(net);
net.output = get_network_output(net);
printf("Total BFLOPS %5.3f \n", bflops);
if(workspace_size){
//printf("%ld\n", workspace_size);
#ifdef GPU
get_cuda_stream();
get_cuda_memcpy_stream();
if(gpu_index >= 0){
net.workspace = cuda_make_array(0, workspace_size/sizeof(float) + 1);
int size = get_network_input_size(net) * net.batch;
net.input_state_gpu = cuda_make_array(0, size);
if (cudaSuccess == cudaHostAlloc(&net.input_pinned_cpu, size*sizeof(float), cudaHostRegisterMapped)) net.input_pinned_cpu_flag = 1;
else net.input_pinned_cpu = calloc(size, sizeof(float));
get_cuda_stream();
get_cuda_memcpy_stream();
if (gpu_index >= 0)
{
int size = get_network_input_size(net) * net.batch;
net.input_state_gpu = cuda_make_array(0, size);
if (cudaSuccess == cudaHostAlloc(&net.input_pinned_cpu, size * sizeof(float), cudaHostRegisterMapped)) net.input_pinned_cpu_flag = 1;
else net.input_pinned_cpu = calloc(size, sizeof(float));
// pre-allocate memory for inference on Tensor Cores (fp16)
if (net.cudnn_half) {
*net.max_input16_size = max_inputs;
check_error(cudaMalloc((void **)net.input16_gpu, *net.max_input16_size * sizeof(short))); //sizeof(half)
*net.max_output16_size = max_outputs;
check_error(cudaMalloc((void **)net.output16_gpu, *net.max_output16_size * sizeof(short))); //sizeof(half)
}
}else {
// pre-allocate memory for inference on Tensor Cores (fp16)
if (net.cudnn_half) {
*net.max_input16_size = max_inputs;
check_error(cudaMalloc((void **)net.input16_gpu, *net.max_input16_size * sizeof(short))); //sizeof(half)
*net.max_output16_size = max_outputs;
check_error(cudaMalloc((void **)net.output16_gpu, *net.max_output16_size * sizeof(short))); //sizeof(half)
}
if (workspace_size) {
net.workspace = cuda_make_array(0, workspace_size / sizeof(float) + 1);
}
else {
net.workspace = calloc(1, workspace_size);
}
#else
net.workspace = calloc(1, workspace_size);
#endif
}
#else
if (workspace_size) {
net.workspace = calloc(1, workspace_size);
}
#endif
LAYER_TYPE lt = net.layers[net.n - 1].type;
if ((net.w % 32 != 0 || net.h % 32 != 0) && (lt == YOLO || lt == REGION || lt == DETECTION)) {
printf("\n Warning: width=%d and height=%d in cfg-file must be divisible by 32 for default networks Yolo v1/v2/v3!!! \n\n",