arm_compute v18.03
Change-Id: I8f9a2a9d32a6cab019b8504d313216f28671f9f5
diff --git a/tests/validation/CL/DepthConcatenateLayer.cpp b/tests/validation/CL/DepthConcatenateLayer.cpp
index bed2a45..725af88 100644
--- a/tests/validation/CL/DepthConcatenateLayer.cpp
+++ b/tests/validation/CL/DepthConcatenateLayer.cpp
@@ -42,6 +42,27 @@
TEST_SUITE(CL)
TEST_SUITE(DepthConcatenateLayer)
+TEST_CASE(Configuration, framework::DatasetMode::ALL)
+{
+ // Create tensors
+ CLTensor src1 = create_tensor<CLTensor>(TensorShape(32U, 32U, 128U), DataType::F32, 1);
+ CLTensor src2 = create_tensor<CLTensor>(TensorShape(32U, 32U, 32U), DataType::F32, 1);
+ CLTensor dst;
+
+ ARM_COMPUTE_EXPECT(src1.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_EXPECT(src2.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+ // Create and configure function
+ CLDepthConcatenateLayer concat_layer;
+
+ concat_layer.configure({ &src1, &src2 }, &dst);
+
+ // Validate valid region
+ const ValidRegion valid_region = shape_to_valid_region(TensorShape(32U, 32U, 160U));
+ validate(dst.info()->valid_region(), valid_region);
+}
+
template <typename T>
using CLDepthConcatenateLayerFixture = DepthConcatenateLayerValidationFixture<CLTensor, ICLTensor, CLAccessor, CLDepthConcatenateLayer, T>;
diff --git a/tests/validation/CL/GEMM.cpp b/tests/validation/CL/GEMM.cpp
index 5f53d6f..3712de9 100644
--- a/tests/validation/CL/GEMM.cpp
+++ b/tests/validation/CL/GEMM.cpp
@@ -49,7 +49,9 @@
{
namespace
{
-RelativeTolerance<float> tolerance_f32(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for floating point data types */
+RelativeTolerance<float> tolerance_f32(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for floating point data types */
+constexpr float abs_tolerance_f32(
+ 0.0001f); /**< Absolute tolerance value for comparing reference's output against implementation's output for floating point data types in case using relative tolerance fails because of small values */
RelativeTolerance<half_float::half> tolerance_f16(half(0.2)); /**< Tolerance value for comparing reference's output against implementation's output for floating point data types */
constexpr AbsoluteTolerance<float> tolerance_q(1.0f); /**< Tolerance value for comparing reference's output against implementation's output for fixed point data types */
constexpr float tolerance_num = 0.02f; /**< Tolerance number */
@@ -198,7 +200,7 @@
FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeGEMMDataset(), framework::dataset::make("DataType", DataType::F32)))
{
// Validate output
- validate(CLAccessor(_target), _reference, tolerance_f32);
+ validate(CLAccessor(_target), _reference, tolerance_f32, 0.f, abs_tolerance_f32);
}
TEST_SUITE_END()
TEST_SUITE_END()