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Diffstat (limited to 'tests/validation/fixtures')
-rw-r--r-- | tests/validation/fixtures/QLSTMLayerNormalizationFixture.h | 143 |
1 files changed, 143 insertions, 0 deletions
diff --git a/tests/validation/fixtures/QLSTMLayerNormalizationFixture.h b/tests/validation/fixtures/QLSTMLayerNormalizationFixture.h new file mode 100644 index 0000000000..5d2cd2bd55 --- /dev/null +++ b/tests/validation/fixtures/QLSTMLayerNormalizationFixture.h @@ -0,0 +1,143 @@ +/* + * Copyright (c) 2020 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_QLSTM_LAYER_NORMALIZATION_FIXTURE +#define ARM_COMPUTE_TEST_QLSTM_LAYER_NORMALIZATION_FIXTURE + +#include "arm_compute/core/TensorShape.h" +#include "arm_compute/core/Types.h" +#include "arm_compute/runtime/NEON/NEScheduler.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/QLSTMLayerNormalization.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class QLSTMLayerNormalizationValidationFixture : public framework::Fixture +{ +public: + template <typename...> + void setup(TensorShape input_shape, TensorShape weight_shape, TensorShape bias_shape, DataType data_type, QuantizationInfo weight_qinfo) + { + ARM_COMPUTE_ERROR_ON(data_type != DataType::QSYMM16); + + _data_type = data_type; + _qinfo = weight_qinfo; + + _target = compute_target(input_shape, weight_shape, bias_shape); + _reference = compute_reference(input_shape, weight_shape, bias_shape); + } + +protected: + template <typename InputType, typename BiasType> + void fill(InputType &&input_tensor, InputType &&weight_tensor, BiasType &&bias_tensor) + { + switch(_data_type) + { + case DataType::QSYMM16: + { + // Value ranges are based on reference implementation's test case. + constexpr int16_t input_min = -1000; + constexpr int16_t input_max = 1000; + constexpr int16_t weight_min = 19000; + constexpr int16_t weight_max = 27000; + constexpr int32_t bias_min = -16000000; + constexpr int32_t bias_max = -13000000; + + std::uniform_int_distribution<> input_distribution(input_min, input_max); + std::uniform_int_distribution<> weight_distribution(weight_min, weight_max); + std::uniform_int_distribution<> bias_distribution(bias_min, bias_max); + + library->fill(input_tensor, input_distribution, 0); + library->fill(weight_tensor, weight_distribution, 0); + library->fill(bias_tensor, bias_distribution, 0); + break; + } + default: + ARM_COMPUTE_ERROR("non-supported data type"); + break; + } + } + + void allocate_tensors(const std::vector<TensorType *> &tensors) + { + for(auto t : tensors) + { + ARM_COMPUTE_EXPECT(t->info()->is_resizable(), framework::LogLevel::ERRORS); + t->allocator()->allocate(); + ARM_COMPUTE_EXPECT(!t->info()->is_resizable(), framework::LogLevel::ERRORS); + } + } + + TensorType compute_target(const TensorShape &input_shape, const TensorShape &weight_shape, const TensorShape &bias_shape) + { + TensorType input = create_tensor<TensorType>(input_shape, _data_type, 1); + TensorType weight = create_tensor<TensorType>(weight_shape, _data_type, 1, _qinfo); + TensorType bias = create_tensor<TensorType>(bias_shape, DataType::S32, 1); + TensorType output = create_tensor<TensorType>(input_shape, _data_type, 1); + + FunctionType fn; + fn.configure(&input, &output, &weight, &bias); + allocate_tensors({ &input, &weight, &bias, &output }); + fill(AccessorType(input), AccessorType(weight), AccessorType(bias)); + + ThreadInfo tinfo; + tinfo.cpu_info = &NEScheduler::get().cpu_info(); + fn.run(fn.window(), tinfo); + + return output; + } + + SimpleTensor<T> compute_reference(const TensorShape &input_shape, const TensorShape &weight_shape, const TensorShape &bias_shape) + { + // Create reference + SimpleTensor<T> input{ input_shape, _data_type, 1 }; + SimpleTensor<T> weight{ weight_shape, _data_type, 1, _qinfo }; + SimpleTensor<int32_t> bias{ bias_shape, DataType::S32, 1 }; + + // Fill reference + fill(input, weight, bias); + + return reference::qlstm_layer_normalization(input, weight, bias); + } + + TensorType _target{}; + SimpleTensor<T> _reference{}; + DataType _data_type{}; + QuantizationInfo _qinfo{}; +}; + +} // namespace validation +} // namespace test +} // namespace arm_compute + +#endif /* ARM_COMPUTE_TEST_QLSTM_LAYER_NORMALIZATION_FIXTURE */ |