diff options
Diffstat (limited to 'tests/validation/fixtures/SpaceToDepthFixture.h')
| -rw-r--r-- | tests/validation/fixtures/SpaceToDepthFixture.h | 23 |
1 files changed, 16 insertions, 7 deletions
diff --git a/tests/validation/fixtures/SpaceToDepthFixture.h b/tests/validation/fixtures/SpaceToDepthFixture.h index 24ae020f0a..2d2e9fad7d 100644 --- a/tests/validation/fixtures/SpaceToDepthFixture.h +++ b/tests/validation/fixtures/SpaceToDepthFixture.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2019 Arm Limited. + * Copyright (c) 2019-2021, 2023 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -24,6 +24,7 @@ #ifndef ARM_COMPUTE_TEST_SPACE_TO_DEPTH_LAYER_FIXTURE #define ARM_COMPUTE_TEST_SPACE_TO_DEPTH_LAYER_FIXTURE +#include "arm_compute/core/utils/misc/ShapeCalculator.h" #include "tests/Globals.h" #include "tests/framework/Asserts.h" #include "tests/framework/Fixture.h" @@ -39,7 +40,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ class SpaceToDepthLayerValidationFixture : public framework::Fixture { public: - template <typename...> void setup(TensorShape input_shape, TensorShape output_shape, const int block_shape, DataType data_type, DataLayout data_layout) { _target = compute_target(input_shape, output_shape, block_shape, data_type, data_layout); @@ -50,7 +50,10 @@ 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, TensorShape output_shape, const int block_shape, @@ -66,19 +69,25 @@ protected: TensorType input = create_tensor<TensorType>(input_shape, data_type, 1, QuantizationInfo(), data_layout); TensorType output = create_tensor<TensorType>(output_shape, data_type, 1, QuantizationInfo(), data_layout); + auto calc_out_shape = misc::shape_calculator::compute_space_to_depth_shape(input.info(), block_shape); + ARM_COMPUTE_ASSERT(output_shape[0] == calc_out_shape[0]); + ARM_COMPUTE_ASSERT(output_shape[1] == calc_out_shape[1]); + ARM_COMPUTE_ASSERT(output_shape[2] == calc_out_shape[2]); + ARM_COMPUTE_ASSERT(output_shape[3] == calc_out_shape[3]); + // Create and configure function FunctionType space_to_depth; space_to_depth.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); |