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#ifndef EIGEN_TEST_CUDA_COMMON_H |
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#define EIGEN_TEST_CUDA_COMMON_H |
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#include <cuda.h> |
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#include <cuda_runtime.h> |
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#include <cuda_runtime_api.h> |
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#include <iostream> |
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#ifndef __CUDACC__ |
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dim3 threadIdx, blockDim, blockIdx; |
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#endif |
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template<typename Kernel, typename Input, typename Output> |
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void run_on_cpu(const Kernel& ker, int n, const Input& in, Output& out) |
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{ |
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for(int i=0; i<n; i++) |
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ker(i, in.data(), out.data()); |
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} |
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template<typename Kernel, typename Input, typename Output> |
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__global__ |
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void run_on_cuda_meta_kernel(const Kernel ker, int n, const Input* in, Output* out) |
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{ |
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int i = threadIdx.x + blockIdx.x*blockDim.x; |
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if(i<n) { |
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ker(i, in, out); |
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} |
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} |
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template<typename Kernel, typename Input, typename Output> |
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void run_on_cuda(const Kernel& ker, int n, const Input& in, Output& out) |
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{ |
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typename Input::Scalar* d_in; |
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typename Output::Scalar* d_out; |
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std::ptrdiff_t in_bytes = in.size() * sizeof(typename Input::Scalar); |
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std::ptrdiff_t out_bytes = out.size() * sizeof(typename Output::Scalar); |
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cudaMalloc((void**)(&d_in), in_bytes); |
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cudaMalloc((void**)(&d_out), out_bytes); |
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cudaMemcpy(d_in, in.data(), in_bytes, cudaMemcpyHostToDevice); |
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cudaMemcpy(d_out, out.data(), out_bytes, cudaMemcpyHostToDevice); |
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dim3 Blocks(128); |
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dim3 Grids( (n+int(Blocks.x)-1)/int(Blocks.x) ); |
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cudaThreadSynchronize(); |
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run_on_cuda_meta_kernel<<<Grids,Blocks>>>(ker, n, d_in, d_out); |
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cudaThreadSynchronize(); |
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cudaMemcpy(const_cast<typename Input::Scalar*>(in.data()), d_in, in_bytes, cudaMemcpyDeviceToHost); |
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cudaMemcpy(out.data(), d_out, out_bytes, cudaMemcpyDeviceToHost); |
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cudaFree(d_in); |
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cudaFree(d_out); |
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} |
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template<typename Kernel, typename Input, typename Output> |
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void run_and_compare_to_cuda(const Kernel& ker, int n, const Input& in, Output& out) |
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{ |
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Input in_ref, in_cuda; |
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Output out_ref, out_cuda; |
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#ifndef __CUDA_ARCH__ |
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in_ref = in_cuda = in; |
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out_ref = out_cuda = out; |
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#endif |
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run_on_cpu (ker, n, in_ref, out_ref); |
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run_on_cuda(ker, n, in_cuda, out_cuda); |
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#ifndef __CUDA_ARCH__ |
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VERIFY_IS_APPROX(in_ref, in_cuda); |
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VERIFY_IS_APPROX(out_ref, out_cuda); |
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#endif |
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} |
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void ei_test_init_cuda() |
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{ |
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int device = 0; |
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cudaDeviceProp deviceProp; |
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cudaGetDeviceProperties(&deviceProp, device); |
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std::cout << "CUDA device info:\n"; |
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std::cout << " name: " << deviceProp.name << "\n"; |
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std::cout << " capability: " << deviceProp.major << "." << deviceProp.minor << "\n"; |
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std::cout << " multiProcessorCount: " << deviceProp.multiProcessorCount << "\n"; |
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std::cout << " maxThreadsPerMultiProcessor: " << deviceProp.maxThreadsPerMultiProcessor << "\n"; |
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std::cout << " warpSize: " << deviceProp.warpSize << "\n"; |
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std::cout << " regsPerBlock: " << deviceProp.regsPerBlock << "\n"; |
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std::cout << " concurrentKernels: " << deviceProp.concurrentKernels << "\n"; |
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std::cout << " clockRate: " << deviceProp.clockRate << "\n"; |
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std::cout << " canMapHostMemory: " << deviceProp.canMapHostMemory << "\n"; |
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std::cout << " computeMode: " << deviceProp.computeMode << "\n"; |
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} |
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#endif |
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