darknet源码解析：cuda_push_array

更多darknet源代码学习笔记，参看：darknet源码学习：预测分类函数float *network_predict_gpu(network net, float *input)

将主机host的数据拷贝到GPU设备x_gpu中

void cuda_push_array(float *x_gpu, float *x, size_t n)
{
    size_t size = sizeof(float)*n;
    //cudaError_t status = cudaMemcpy(x_gpu, x, size, cudaMemcpyHostToDevice);
    cudaError_t status = cudaMemcpyAsync(x_gpu, x, size, cudaMemcpyHostToDevice, get_cuda_stream());
    CHECK_CUDA(status);
}

cudaMemcpy与cudaMemcpyAsync的区别

CudaDeviceSynchronize vs cudaThreadSynchronize vs cudaStreamSynchronize