MLCE-121 Github: Build error on GCC 9
* Fixed an error encountered when building on GCC 9
error: moving a local object in a return statement prevents copy elision
* Fixed failures in unit tests due to std::initializer_list handling in GCC 9
Change-Id: I4bfdd2113dfedcecd29479ee556e4ae22278755d
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
diff --git a/src/backends/reference/test/RefCreateWorkloadTests.cpp b/src/backends/reference/test/RefCreateWorkloadTests.cpp
index a0fc728..ef8ff9e 100644
--- a/src/backends/reference/test/RefCreateWorkloadTests.cpp
+++ b/src/backends/reference/test/RefCreateWorkloadTests.cpp
@@ -270,10 +270,10 @@
auto workload = CreateConvolution2dWorkloadTest<RefConvolution2dWorkload, DataType::Float32>
(factory, graph, dataLayout);
- std::initializer_list<unsigned int> inputShape = (dataLayout == DataLayout::NCHW) ?
- std::initializer_list<unsigned int>({2, 3, 8, 16}) : std::initializer_list<unsigned int>({2, 8, 16, 3});
- std::initializer_list<unsigned int> outputShape = (dataLayout == DataLayout::NCHW) ?
- std::initializer_list<unsigned int>({2, 2, 2, 10}) : std::initializer_list<unsigned int>({2, 2, 10, 2});
+ TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? std::initializer_list<unsigned int>({2, 3, 8, 16})
+ : std::initializer_list<unsigned int>({2, 8, 16, 3});
+ TensorShape outputShape = (dataLayout == DataLayout::NCHW) ? std::initializer_list<unsigned int>({2, 2, 2, 10})
+ : std::initializer_list<unsigned int>({2, 2, 10, 2});
// Checks that outputs and inputs are as we expect them (see definition of CreateConvolution2dWorkloadTest).
CheckInputOutput(std::move(workload),
@@ -298,12 +298,11 @@
auto workload = CreateDepthwiseConvolution2dWorkloadTest<RefDepthwiseConvolution2dWorkload, DataType::Float32>
(factory, graph, dataLayout);
- std::initializer_list<unsigned int> inputShape = (dataLayout == DataLayout::NCHW)
- ? std::initializer_list<unsigned int>({ 2, 2, 5, 5 })
- : std::initializer_list<unsigned int>({ 2, 5, 5, 2 });
- std::initializer_list<unsigned int> outputShape = (dataLayout == DataLayout::NCHW)
- ? std::initializer_list<unsigned int>({ 2, 2, 5, 5 })
- : std::initializer_list<unsigned int>({ 2, 5, 5, 2 });
+ TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? std::initializer_list<unsigned int>({ 2, 2, 5, 5 })
+ : std::initializer_list<unsigned int>({ 2, 5, 5, 2 });
+ TensorShape outputShape = (dataLayout == DataLayout::NCHW) ? std::initializer_list<unsigned int>({ 2, 2, 5, 5 })
+ : std::initializer_list<unsigned int>({ 2, 5, 5, 2 });
+
// Checks that inputs/outputs are as we expect them (see definition of CreateDepthwiseConvolution2dWorkloadTest).
CheckInputOutput(std::move(workload),
TensorInfo(inputShape, DataType::Float32),