renaming CUDA* to GPU* for some header files

1 files changed, 101 insertions, 0 deletions

diff --git a/test/gpu_common.h b/test/gpu_common.h
new file mode 100644
index 000000000..9737693ac
--- /dev/null
+++ b/test/gpu_common.h
@@ -0,0 +1,101 @@
+
+#ifndef EIGEN_TEST_CUDA_COMMON_H
+#define EIGEN_TEST_CUDA_COMMON_H
+
+#include <cuda.h>
+#include <cuda_runtime.h>
+#include <cuda_runtime_api.h>
+#include <iostream>
+
+#ifndef __CUDACC__
+dim3 threadIdx, blockDim, blockIdx;
+#endif
+
+template<typename Kernel, typename Input, typename Output>
+void run_on_cpu(const Kernel& ker, int n, const Input& in, Output& out)
+{
+  for(int i=0; i<n; i++)
+    ker(i, in.data(), out.data());
+}
+
+
+template<typename Kernel, typename Input, typename Output>
+__global__
+void run_on_cuda_meta_kernel(const Kernel ker, int n, const Input* in, Output* out)
+{
+  int i = threadIdx.x + blockIdx.x*blockDim.x;
+  if(i<n) {
+    ker(i, in, out);
+  }
+}
+
+
+template<typename Kernel, typename Input, typename Output>
+void run_on_cuda(const Kernel& ker, int n, const Input& in, Output& out)
+{
+  typename Input::Scalar*  d_in;
+  typename Output::Scalar* d_out;
+  std::ptrdiff_t in_bytes  = in.size()  * sizeof(typename Input::Scalar);
+  std::ptrdiff_t out_bytes = out.size() * sizeof(typename Output::Scalar);
+  
+  cudaMalloc((void**)(&d_in),  in_bytes);
+  cudaMalloc((void**)(&d_out), out_bytes);
+  
+  cudaMemcpy(d_in,  in.data(),  in_bytes,  cudaMemcpyHostToDevice);
+  cudaMemcpy(d_out, out.data(), out_bytes, cudaMemcpyHostToDevice);
+  
+  // Simple and non-optimal 1D mapping assuming n is not too large
+  // That's only for unit testing!
+  dim3 Blocks(128);
+  dim3 Grids( (n+int(Blocks.x)-1)/int(Blocks.x) );
+
+  cudaThreadSynchronize();
+  run_on_cuda_meta_kernel<<<Grids,Blocks>>>(ker, n, d_in, d_out);
+  cudaThreadSynchronize();
+  
+  // check inputs have not been modified
+  cudaMemcpy(const_cast<typename Input::Scalar*>(in.data()),  d_in,  in_bytes,  cudaMemcpyDeviceToHost);
+  cudaMemcpy(out.data(), d_out, out_bytes, cudaMemcpyDeviceToHost);
+  
+  cudaFree(d_in);
+  cudaFree(d_out);
+}
+
+
+template<typename Kernel, typename Input, typename Output>
+void run_and_compare_to_cuda(const Kernel& ker, int n, const Input& in, Output& out)
+{
+  Input  in_ref,  in_cuda;
+  Output out_ref, out_cuda;
+  #ifndef __CUDA_ARCH__
+  in_ref = in_cuda = in;
+  out_ref = out_cuda = out;
+  #endif
+  run_on_cpu (ker, n, in_ref,  out_ref);
+  run_on_cuda(ker, n, in_cuda, out_cuda);
+  #ifndef __CUDA_ARCH__
+  VERIFY_IS_APPROX(in_ref, in_cuda);
+  VERIFY_IS_APPROX(out_ref, out_cuda);
+  #endif
+}
+
+
+void ei_test_init_cuda()
+{
+  int device = 0;
+  cudaDeviceProp deviceProp;
+  cudaGetDeviceProperties(&deviceProp, device);
+  std::cout << "CUDA device info:\n";
+  std::cout << "  name:                        " << deviceProp.name << "\n";
+  std::cout << "  capability:                  " << deviceProp.major << "." << deviceProp.minor << "\n";
+  std::cout << "  multiProcessorCount:         " << deviceProp.multiProcessorCount << "\n";
+  std::cout << "  maxThreadsPerMultiProcessor: " << deviceProp.maxThreadsPerMultiProcessor << "\n";
+  std::cout << "  warpSize:                    " << deviceProp.warpSize << "\n";
+  std::cout << "  regsPerBlock:                " << deviceProp.regsPerBlock << "\n";
+  std::cout << "  concurrentKernels:           " << deviceProp.concurrentKernels << "\n";
+  std::cout << "  clockRate:                   " << deviceProp.clockRate << "\n";
+  std::cout << "  canMapHostMemory:            " << deviceProp.canMapHostMemory << "\n";
+  std::cout << "  computeMode:                 " << deviceProp.computeMode << "\n";
+}
+
+#endif // EIGEN_TEST_CUDA_COMMON_H