From 109005c6c9a3e6e1e42ff9efc71be3a899519ed4 Mon Sep 17 00:00:00 2001
From: Benoit Steiner <benoit.steiner.goog@gmail.com>
Date: Tue, 30 Jun 2015 13:08:12 -0700
Subject: Added a test for multithreaded full reductions

---
 unsupported/test/cxx11_tensor_thread_pool.cpp | 26 ++++++++++++++++++++++++++
 1 file changed, 26 insertions(+)

(limited to 'unsupported/test/cxx11_tensor_thread_pool.cpp')

diff --git a/unsupported/test/cxx11_tensor_thread_pool.cpp b/unsupported/test/cxx11_tensor_thread_pool.cpp
index 0a20a01a4..5ec7c8bf4 100644
--- a/unsupported/test/cxx11_tensor_thread_pool.cpp
+++ b/unsupported/test/cxx11_tensor_thread_pool.cpp
@@ -228,6 +228,29 @@ static void test_multithread_contraction_agrees_with_singlethread() {
 }
 
 
+template<int DataLayout>
+static void test_multithreaded_reductions() {
+  const int num_threads = internal::random<int>(3, 11);
+  ThreadPool thread_pool(num_threads);
+  Eigen::ThreadPoolDevice thread_pool_device(&thread_pool, num_threads);
+
+  const int num_rows = internal::random<int>(13, 732);
+  const int num_cols = internal::random<int>(13, 732);
+  Tensor<float, 2, DataLayout> t1(num_rows, num_cols);
+  t1.setRandom();
+
+  Tensor<float, 1, DataLayout> full_redux(1);
+  full_redux = t1.sum();
+
+  Tensor<float, 1, DataLayout> full_redux_tp(1);
+  full_redux_tp.device(thread_pool_device) = t1.sum();
+
+  // Check that the single threaded and the multi threaded reductions return
+  // the same result.
+  VERIFY_IS_APPROX(full_redux(0), full_redux_tp(0));
+}
+
+
 static void test_memcpy() {
 
   for (int i = 0; i < 5; ++i) {
@@ -271,6 +294,9 @@ void test_cxx11_tensor_thread_pool()
   CALL_SUBTEST(test_contraction_corner_cases<ColMajor>());
   CALL_SUBTEST(test_contraction_corner_cases<RowMajor>());
 
+  CALL_SUBTEST(test_multithreaded_reductions<ColMajor>());
+  CALL_SUBTEST(test_multithreaded_reductions<RowMajor>());
+
   CALL_SUBTEST(test_memcpy());
 
   CALL_SUBTEST(test_multithread_random());
-- 
cgit v1.2.3