1 files changed, 0 insertions, 110 deletions
diff --git a/inference-engine/thirdparty/clDNN/common/boost/1.64.0/include/boost-1_64/boost/compute/algorithm/detail/reduce_on_cpu.hpp b/inference-engine/thirdparty/clDNN/common/boost/1.64.0/include/boost-1_64/boost/compute/algorithm/detail/reduce_on_cpu.hpp
deleted file mode 100644
index 490d7d538..000000000
--- a/inference-engine/thirdparty/clDNN/common/boost/1.64.0/include/boost-1_64/boost/compute/algorithm/detail/reduce_on_cpu.hpp
+++ /dev/null
@@ -1,110 +0,0 @@
-//---------------------------------------------------------------------------//
-// Copyright (c) 2016 Jakub Szuppe <j.szuppe@gmail.com>
-//
-// Distributed under the Boost Software License, Version 1.0
-// See accompanying file LICENSE_1_0.txt or copy at
-// http://www.boost.org/LICENSE_1_0.txt
-//
-// See http://boostorg.github.com/compute for more information.
-//---------------------------------------------------------------------------//
-
-#ifndef BOOST_COMPUTE_ALGORITHM_DETAIL_REDUCE_ON_CPU_HPP
-#define BOOST_COMPUTE_ALGORITHM_DETAIL_REDUCE_ON_CPU_HPP
-
-#include <algorithm>
-
-#include <boost/compute/buffer.hpp>
-#include <boost/compute/command_queue.hpp>
-#include <boost/compute/detail/meta_kernel.hpp>
-#include <boost/compute/detail/iterator_range_size.hpp>
-#include <boost/compute/detail/parameter_cache.hpp>
-#include <boost/compute/iterator/buffer_iterator.hpp>
-#include <boost/compute/type_traits/result_of.hpp>
-#include <boost/compute/algorithm/detail/serial_reduce.hpp>
-
-namespace boost {
-namespace compute {
-namespace detail {
-
-template<class InputIterator, class OutputIterator, class BinaryFunction>
-inline void reduce_on_cpu(InputIterator first,
-                          InputIterator last,
-                          OutputIterator result,
-                          BinaryFunction function,
-                          command_queue &queue)
-{
-    typedef typename
-        std::iterator_traits<InputIterator>::value_type T;
-    typedef typename
-        ::boost::compute::result_of<BinaryFunction(T, T)>::type result_type;
-
-    const device &device = queue.get_device();
-    const uint_ compute_units = queue.get_device().compute_units();
-
-    boost::shared_ptr<parameter_cache> parameters =
-        detail::parameter_cache::get_global_cache(device);
-
-    std::string cache_key =
-        "__boost_reduce_cpu_" + boost::lexical_cast<std::string>(sizeof(T));
-
-    // for inputs smaller than serial_reduce_threshold
-    // serial_reduce algorithm is used
-    uint_ serial_reduce_threshold =
-        parameters->get(cache_key, "serial_reduce_threshold", 16384 * sizeof(T));
-    serial_reduce_threshold =
-        (std::max)(serial_reduce_threshold, uint_(compute_units));
-
-    const context &context = queue.get_context();
-    size_t count = detail::iterator_range_size(first, last);
-    if(count == 0){
-        return;
-    }
-    else if(count < serial_reduce_threshold) {
-        return serial_reduce(first, last, result, function, queue);
-    }
-
-    meta_kernel k("reduce_on_cpu");
-    buffer output(context, sizeof(result_type) * compute_units);
-
-    size_t count_arg = k.add_arg<uint_>("count");
-    size_t output_arg =
-        k.add_arg<result_type *>(memory_object::global_memory, "output");
-
-    k <<
-        "uint block = " <<
-            "(uint)ceil(((float)count)/get_global_size(0));\n" <<
-        "uint index = get_global_id(0) * block;\n" <<
-        "uint end = min(count, index + block);\n" <<
-
-        k.decl<result_type>("result") << " = " << first[k.var<uint_>("index")] << ";\n" <<
-        "index++;\n" <<
-        "while(index < end){\n" <<
-             "result = " << function(k.var<T>("result"),
-                                     first[k.var<uint_>("index")]) << ";\n" <<
-             "index++;\n" <<
-        "}\n" <<
-        "output[get_global_id(0)] = result;\n";
-
-    size_t global_work_size = compute_units;
-    kernel kernel = k.compile(context);
-
-    // reduction to global_work_size elements
-    kernel.set_arg(count_arg, static_cast<uint_>(count));
-    kernel.set_arg(output_arg, output);
-    queue.enqueue_1d_range_kernel(kernel, 0, global_work_size, 0);
-
-    // final reduction
-    reduce_on_cpu(
-        make_buffer_iterator<result_type>(output),
-        make_buffer_iterator<result_type>(output, global_work_size),
-        result,
-        function,
-        queue
-    );
-}
-
-} // end detail namespace
-} // end compute namespace
-} // end boost namespace
-
-#endif // BOOST_COMPUTE_ALGORITHM_DETAIL_REDUCE_ON_CPU_HPP