[11/51] [partial] mahout git commit: Revert "(nojira) add native-viennaCL module to codebase. closes apache/mahout#241"

[ap...@apache.org]

http://git-wip-us.apache.org/repos/asf/mahout/blob/7ae549fa/native-viennaCL/src/main/cpp/viennacl/linalg/opencl/kernels/compressed_compressed_matrix.hpp
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diff --git a/native-viennaCL/src/main/cpp/viennacl/linalg/opencl/kernels/compressed_compressed_matrix.hpp b/native-viennaCL/src/main/cpp/viennacl/linalg/opencl/kernels/compressed_compressed_matrix.hpp
deleted file mode 100644
index 08e15a5..0000000
--- a/native-viennaCL/src/main/cpp/viennacl/linalg/opencl/kernels/compressed_compressed_matrix.hpp
+++ /dev/null
@@ -1,110 +0,0 @@
-#ifndef VIENNACL_LINALG_OPENCL_KERNELS_COMPRESSED_COMPRESSED_MATRIX_HPP
-#define VIENNACL_LINALG_OPENCL_KERNELS_COMPRESSED_COMPRESSED_MATRIX_HPP
-
-/* =========================================================================
-   Copyright (c) 2010-2016, Institute for Microelectronics,
-                            Institute for Analysis and Scientific Computing,
-                            TU Wien.
-   Portions of this software are copyright by UChicago Argonne, LLC.
-
-                            -----------------
-                  ViennaCL - The Vienna Computing Library
-                            -----------------
-
-   Project Head:    Karl Rupp                   rupp@iue.tuwien.ac.at
-
-   (A list of authors and contributors can be found in the manual)
-
-   License:         MIT (X11), see file LICENSE in the base directory
-============================================================================= */
-
-#include "viennacl/tools/tools.hpp"
-#include "viennacl/ocl/kernel.hpp"
-#include "viennacl/ocl/platform.hpp"
-#include "viennacl/ocl/utils.hpp"
-
-/** @file viennacl/linalg/opencl/kernels/compressed_compressed_matrix.hpp
- *  @brief OpenCL kernel file for vector operations */
-namespace viennacl
-{
-namespace linalg
-{
-namespace opencl
-{
-namespace kernels
-{
-
-//////////////////////////// Part 1: Kernel generation routines ////////////////////////////////////
-
-template<typename StringT>
-void generate_vec_mul(StringT & source, std::string const & numeric_string)
-{
-  source.append("__kernel void vec_mul( \n");
-  source.append("  __global const unsigned int * row_jumper, \n");
-  source.append("  __global const unsigned int * row_indices, \n");
-  source.append("  __global const unsigned int * column_indices, \n");
-  source.append("  __global const "); source.append(numeric_string); source.append(" * elements, \n");
-  source.append("  uint nonzero_rows, \n");
-  source.append("  __global const "); source.append(numeric_string); source.append(" * x, \n");
-  source.append("  uint4 layout_x, \n");
-  source.append("  "); source.append(numeric_string); source.append(" alpha, \n");
-  source.append("  __global "); source.append(numeric_string); source.append(" * result, \n");
-  source.append("  uint4 layout_result, \n");
-  source.append("  "); source.append(numeric_string); source.append(" beta) \n");
-  source.append("{ \n");
-  source.append("  for (unsigned int i = get_global_id(0); i < nonzero_rows; i += get_global_size(0)) \n");
-  source.append("  { \n");
-  source.append("    "); source.append(numeric_string); source.append(" dot_prod = 0; \n");
-  source.append("    unsigned int row_end = row_jumper[i+1]; \n");
-  source.append("    for (unsigned int j = row_jumper[i]; j < row_end; ++j) \n");
-  source.append("      dot_prod += elements[j] * x[column_indices[j] * layout_x.y + layout_x.x]; \n");
-
-  source.append("    if (beta != 0) result[row_indices[i] * layout_result.y + layout_result.x] += alpha * dot_prod; \n");
-  source.append("    else           result[row_indices[i] * layout_result.y + layout_result.x]  = alpha * dot_prod; \n");
-  source.append("  } \n");
-  source.append(" } \n");
-}
-
-//////////////////////////// Part 2: Main kernel class ////////////////////////////////////
-
-/** @brief Main kernel class for generating OpenCL kernels for compressed_compressed_matrix. */
-template<typename NumericT>
-struct compressed_compressed_matrix
-{
-  static std::string program_name()
-  {
-    return viennacl::ocl::type_to_string<NumericT>::apply() + "_compressed_compressed_matrix";
-  }
-
-  static void init(viennacl::ocl::context & ctx)
-  {
-    static std::map<cl_context, bool> init_done;
-    if (!init_done[ctx.handle().get()])
-    {
-      viennacl::ocl::DOUBLE_PRECISION_CHECKER<NumericT>::apply(ctx);
-      std::string numeric_string = viennacl::ocl::type_to_string<NumericT>::apply();
-
-      std::string source;
-      source.reserve(8192);
-
-      viennacl::ocl::append_double_precision_pragma<NumericT>(ctx, source);
-
-      // fully parametrized kernels:
-      generate_vec_mul(source, numeric_string);
-
-      std::string prog_name = program_name();
-      #ifdef VIENNACL_BUILD_INFO
-      std::cout << "Creating program " << prog_name << std::endl;
-      #endif
-      ctx.add_program(source, prog_name);
-      init_done[ctx.handle().get()] = true;
-    } //if
-  } //init
-};
-
-}  // namespace kernels
-}  // namespace opencl
-}  // namespace linalg
-}  // namespace viennacl
-#endif
-