1 files changed, 0 insertions, 101 deletions
diff --git a/test/cuda_common.h b/test/cuda_common.h
deleted file mode 100644
index 9737693ac..000000000
--- a/test/cuda_common.h
+++ /dev/null
@@ -1,101 +0,0 @@
-
-#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