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Diffstat (limited to 'tests/validation_old/TensorFactory.h')
| -rw-r--r-- | tests/validation_old/TensorFactory.h | 111 |
1 files changed, 0 insertions, 111 deletions
diff --git a/tests/validation_old/TensorFactory.h b/tests/validation_old/TensorFactory.h deleted file mode 100644 index 3f5b960927..0000000000 --- a/tests/validation_old/TensorFactory.h +++ /dev/null @@ -1,111 +0,0 @@ -/* - * Copyright (c) 2017 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_TENSOR_FACTORY_H__ -#define __ARM_COMPUTE_TEST_TENSOR_FACTORY_H__ - -#include "arm_compute/core/Error.h" -#include "tests/RawTensor.h" -#include "tests/validation_old/Tensor.h" -#include "tests/validation_old/half.h" - -#include "tests/validation_old/boost_wrapper.h" - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -using TensorVariant = boost::variant<Tensor<uint8_t>, Tensor<int8_t>, - Tensor<uint16_t>, Tensor<int16_t>, - Tensor<uint32_t>, Tensor<int32_t>, - Tensor<half_float::half>, - Tensor<float>>; - -/** Helper to create a constant type if the passed reference is constant. */ -template <typename R, typename T> -struct match_const -{ - using type = typename std::conditional<std::is_const<typename std::remove_reference<R>::type>::value, const T, T>::type; -}; - -class TensorFactory -{ -public: - template <typename R> - static TensorVariant get_tensor(R &&raw) - { - TensorVariant v; - DataType dt = raw.data_type(); - int fixed_point_position = raw.fixed_point_position(); - auto shape = raw.shape(); - auto data = raw.data(); - - switch(dt) - { - case DataType::U8: - using value_type_u8 = typename match_const<R, uint8_t>::type; - v = Tensor<uint8_t>(shape, dt, fixed_point_position, reinterpret_cast<value_type_u8 *>(data)); - break; - case DataType::S8: - case DataType::QS8: - using value_type_s8 = typename match_const<R, int8_t>::type; - v = Tensor<int8_t>(shape, dt, fixed_point_position, reinterpret_cast<value_type_s8 *>(data)); - break; - case DataType::U16: - using value_type_u16 = typename match_const<R, uint16_t>::type; - v = Tensor<uint16_t>(shape, dt, fixed_point_position, reinterpret_cast<value_type_u16 *>(data)); - break; - case DataType::S16: - case DataType::QS16: - using value_type_s16 = typename match_const<R, int16_t>::type; - v = Tensor<int16_t>(shape, dt, fixed_point_position, reinterpret_cast<value_type_s16 *>(data)); - break; - case DataType::U32: - using value_type_u32 = typename match_const<R, uint32_t>::type; - v = Tensor<uint32_t>(shape, dt, fixed_point_position, reinterpret_cast<value_type_u32 *>(data)); - break; - case DataType::S32: - using value_type_s32 = typename match_const<R, int32_t>::type; - v = Tensor<int32_t>(shape, dt, fixed_point_position, reinterpret_cast<value_type_s32 *>(data)); - break; - case DataType::F16: - using value_type_f16 = typename match_const<R, half_float::half>::type; - v = Tensor<half_float::half>(shape, dt, fixed_point_position, reinterpret_cast<value_type_f16 *>(data)); - break; - case DataType::F32: - using value_type_f32 = typename match_const<R, float>::type; - v = Tensor<float>(shape, dt, fixed_point_position, reinterpret_cast<value_type_f32 *>(data)); - break; - default: - ARM_COMPUTE_ERROR("NOT SUPPORTED!"); - } - return v; - } -}; -} // namespace validation -} // namespace test -} // namespace arm_compute - -#endif /* __ARM_COMPUTE_TEST_TENSOR_FACTORY_H__ */ |