| /* |
| * Copyright (c) 2017-2021 Arm Limited. |
| * |
| * SPDX-License-Identifier: MIT |
| * |
| * Permission is hereby granted, free of charge, to any person obtaining a copy |
| * of this software and associated documentation files (the "Software"), to |
| * deal in the Software without restriction, including without limitation the |
| * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| * sell copies of the Software, and to permit persons to whom the Software is |
| * furnished to do so, subject to the following conditions: |
| * |
| * The above copyright notice and this permission notice shall be included in all |
| * copies or substantial portions of the Software. |
| * |
| * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| * SOFTWARE. |
| */ |
| #ifndef ARM_COMPUTE_TEST_DEPTH_CONVERT_FIXTURE |
| #define ARM_COMPUTE_TEST_DEPTH_CONVERT_FIXTURE |
| |
| #include "arm_compute/core/TensorShape.h" |
| #include "arm_compute/core/Types.h" |
| #include "tests/AssetsLibrary.h" |
| #include "tests/Globals.h" |
| #include "tests/IAccessor.h" |
| #include "tests/framework/Asserts.h" |
| #include "tests/framework/Fixture.h" |
| #include "tests/validation/Helpers.h" |
| #include "tests/validation/reference/DepthConvertLayer.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| /* This function ignores the scale and zeroPoint of quanized tensors, i.e. QASYMM8 input is treated as uint8 values.*/ |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2> |
| class DepthConvertLayerValidationBaseFixture : public framework::Fixture |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape shape, DataType dt_in, DataType dt_out, ConvertPolicy policy, uint32_t shift, QuantizationInfo quantization_info) |
| { |
| _shift = shift; |
| _quantization_info = quantization_info; |
| _target = compute_target(shape, dt_in, dt_out, policy, shift); |
| _reference = compute_reference(shape, dt_in, dt_out, policy, shift); |
| } |
| |
| protected: |
| template <typename U> |
| void fill(U &&tensor, int i, DataType dt_in, DataType dt_out) |
| { |
| if(is_data_type_quantized(tensor.data_type())) |
| { |
| std::pair<int, int> bounds = get_quantized_bounds(tensor.quantization_info(), -1.0f, 1.0f); |
| std::uniform_int_distribution<uint8_t> distribution(bounds.first, bounds.second); |
| |
| library->fill(tensor, distribution, i); |
| } |
| else |
| { |
| // When converting S32 to F16, both reference and Compute Library implementations are + or - infinity outside the F16 range. |
| if(dt_in == DataType::S32 && dt_out == DataType::F16) |
| { |
| std::uniform_int_distribution<int32_t> distribution_s32(-65504, 65504); |
| library->fill(tensor, distribution_s32, i); |
| } |
| else |
| { |
| library->fill_tensor_uniform(tensor, i); |
| } |
| } |
| } |
| |
| TensorType compute_target(const TensorShape &shape, DataType dt_in, DataType dt_out, ConvertPolicy policy, uint32_t shift) |
| { |
| // Create tensors |
| TensorType src = create_tensor<TensorType>(shape, dt_in, 1, _quantization_info); |
| TensorType dst = create_tensor<TensorType>(shape, dt_out, 1, _quantization_info); |
| |
| // Create and configure function |
| FunctionType depth_convert; |
| depth_convert.configure(&src, &dst, policy, shift); |
| |
| ARM_COMPUTE_ASSERT(src.info()->is_resizable()); |
| ARM_COMPUTE_ASSERT(dst.info()->is_resizable()); |
| |
| // Allocate tensors |
| src.allocator()->allocate(); |
| dst.allocator()->allocate(); |
| |
| ARM_COMPUTE_ASSERT(!src.info()->is_resizable()); |
| ARM_COMPUTE_ASSERT(!dst.info()->is_resizable()); |
| |
| // Fill tensors |
| fill(AccessorType(src), 0, dt_in, dt_out); |
| |
| // Compute function |
| depth_convert.run(); |
| |
| return dst; |
| } |
| |
| SimpleTensor<T2> compute_reference(const TensorShape &shape, DataType dt_in, DataType dt_out, ConvertPolicy policy, uint32_t shift) |
| { |
| // Create reference |
| SimpleTensor<T1> src{ shape, dt_in, 1, _quantization_info }; |
| |
| // Fill reference |
| fill(src, 0, dt_in, dt_out); |
| |
| return reference::depth_convert<T1, T2>(src, dt_out, policy, shift); |
| } |
| |
| TensorType _target{}; |
| SimpleTensor<T2> _reference{}; |
| int _shift{}; |
| QuantizationInfo _quantization_info{}; |
| }; |
| |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2> |
| class DepthConvertLayerValidationFixture : public DepthConvertLayerValidationBaseFixture<TensorType, AccessorType, FunctionType, T1, T2> |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape shape, DataType dt_in, DataType dt_out, ConvertPolicy policy, uint32_t shift) |
| { |
| DepthConvertLayerValidationBaseFixture<TensorType, AccessorType, FunctionType, T1, T2>::setup(shape, dt_in, dt_out, policy, |
| shift, QuantizationInfo()); |
| } |
| }; |
| |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2> |
| class DepthConvertLayerValidationQuantizedFixture : public DepthConvertLayerValidationBaseFixture<TensorType, AccessorType, FunctionType, T1, T2> |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape shape, DataType dt_in, DataType dt_out, ConvertPolicy policy, uint32_t shift, QuantizationInfo quantization_info) |
| { |
| DepthConvertLayerValidationBaseFixture<TensorType, AccessorType, FunctionType, T1, T2>::setup(shape, dt_in, dt_out, policy, |
| shift, quantization_info); |
| } |
| }; |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_TEST_DEPTH_CONVERT_FIXTURE */ |