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merge pull request 198

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This commit is contained in:
Gael Guennebaud
2016-06-24 11:48:17 +02:00
parent 72c95383e0 6dd9077070
commit 3852351793
109 changed files with 1692 additions and 1164 deletions
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5
unsupported/test/cxx11_non_blocking_thread_pool.cpp
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@@ -27,6 +27,8 @@ static void test_parallelism()
// Test we never-ever fail to match available tasks with idle threads.
const int kThreads = 16; // code below expects that this is a multiple of 4
NonBlockingThreadPool tp(kThreads);
VERIFY_IS_EQUAL(tp.NumThreads(), kThreads);
VERIFY_IS_EQUAL(tp.CurrentThreadId(), -1);
for (int iter = 0; iter < 100; ++iter) {
std::atomic<int> running(0);
std::atomic<int> done(0);
@@ -34,6 +36,9 @@ static void test_parallelism()
// Schedule kThreads tasks and ensure that they all are running.
for (int i = 0; i < kThreads; ++i) {
tp.Schedule([&]() {
const int thread_id = tp.CurrentThreadId();
VERIFY_GE(thread_id, 0);
VERIFY_LE(thread_id, kThreads - 1);
running++;
while (phase < 1) {
}

22
unsupported/test/cxx11_tensor_io.cpp
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@@ -13,6 +13,20 @@
#include <Eigen/CXX11/Tensor>
template<int DataLayout>
static void test_output_0d()
{
Tensor<int, 0, DataLayout> tensor;
tensor() = 123;
std::stringstream os;
os << tensor;
std::string expected("123");
VERIFY_IS_EQUAL(std::string(os.str()), expected);
}
template<int DataLayout>
static void test_output_1d()
{
@@ -26,6 +40,12 @@ static void test_output_1d()
std::string expected("0\n1\n2\n3\n4");
VERIFY_IS_EQUAL(std::string(os.str()), expected);
Eigen::Tensor<double,1,DataLayout> empty_tensor(0);
std::stringstream empty_os;
empty_os << empty_tensor;
std::string empty_string;
VERIFY_IS_EQUAL(std::string(empty_os.str()), empty_string);
}
@@ -101,6 +121,8 @@ static void test_output_const()
void test_cxx11_tensor_io()
{
CALL_SUBTEST(test_output_0d<ColMajor>());
CALL_SUBTEST(test_output_0d<RowMajor>());
CALL_SUBTEST(test_output_1d<ColMajor>());
CALL_SUBTEST(test_output_1d<RowMajor>());
CALL_SUBTEST(test_output_2d<ColMajor>());

24
unsupported/test/cxx11_tensor_scan.cpp
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@@ -38,6 +38,30 @@ static void test_1d_scan()
}
}
template <int DataLayout, typename Type=float>
static void test_1d_inclusive_scan()
{
int size = 50;
Tensor<Type, 1, DataLayout> tensor(size);
tensor.setRandom();
Tensor<Type, 1, DataLayout> result = tensor.cumsum(0, true);
VERIFY_IS_EQUAL(tensor.dimension(0), result.dimension(0));
float accum = 0;
for (int i = 0; i < size; i++) {
VERIFY_IS_EQUAL(result(i), accum);
accum += tensor(i);
}
accum = 1;
result = tensor.cumprod(0, true);
for (int i = 0; i < size; i++) {
VERIFY_IS_EQUAL(result(i), accum);
accum *= tensor(i);
}
}
template <int DataLayout, typename Type=float>
static void test_4d_scan()
{