diff options
Diffstat (limited to 'tests/validation/fixtures/DepthToSpaceLayerFixture.h')
| -rw-r--r-- | tests/validation/fixtures/DepthToSpaceLayerFixture.h | 16 |
1 files changed, 9 insertions, 7 deletions
diff --git a/tests/validation/fixtures/DepthToSpaceLayerFixture.h b/tests/validation/fixtures/DepthToSpaceLayerFixture.h index b42bed52a7..abe3d8b22f 100644 --- a/tests/validation/fixtures/DepthToSpaceLayerFixture.h +++ b/tests/validation/fixtures/DepthToSpaceLayerFixture.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2019 ARM Limited. + * Copyright (c) 2019-2021, 2023 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -39,7 +39,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ class DepthToSpaceLayerValidationFixture : public framework::Fixture { public: - template <typename...> void setup(TensorShape input_shape, int32_t block_shape, TensorShape output_shape, DataType data_type, DataLayout data_layout) { _target = compute_target(input_shape, block_shape, output_shape, data_type, data_layout); @@ -50,7 +49,10 @@ protected: template <typename U> void fill(U &&tensor, int i) { - std::uniform_real_distribution<> distribution(-1.0f, 1.0f); + static_assert(std::is_floating_point<T>::value || std::is_same<T, half>::value, "Only floating point data types supported."); + using DistributionType = typename std::conditional<std::is_same<T, half>::value, arm_compute::utils::uniform_real_distribution_16bit<T>, std::uniform_real_distribution<T>>::type; + + DistributionType distribution{ T(-1.0f), T(1.0f) }; library->fill(tensor, distribution, i); } TensorType compute_target(TensorShape input_shape, int32_t block_shape, TensorShape output_shape, @@ -70,15 +72,15 @@ protected: FunctionType depth_to_space; depth_to_space.configure(&input, &output, block_shape); - ARM_COMPUTE_EXPECT(input.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(output.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_ASSERT(input.info()->is_resizable()); + ARM_COMPUTE_ASSERT(output.info()->is_resizable()); // Allocate tensors input.allocator()->allocate(); output.allocator()->allocate(); - ARM_COMPUTE_EXPECT(!input.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(!output.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_ASSERT(!input.info()->is_resizable()); + ARM_COMPUTE_ASSERT(!output.info()->is_resizable()); // Fill tensors fill(AccessorType(input), 0); |