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-/*
- * 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_VALIDATION_HELPERS_H__
-#define __ARM_COMPUTE_TEST_VALIDATION_HELPERS_H__
-
-#include "arm_compute/core/Types.h"
-#include "arm_compute/core/Utils.h"
-#include "tests/validation/half.h"
-
-#include <random>
-#include <type_traits>
-#include <utility>
-
-namespace arm_compute
-{
-namespace test
-{
-namespace validation
-{
-template <typename T>
-struct is_floating_point : public std::is_floating_point<T>
-{
-};
-
-template <>
-struct is_floating_point<half_float::half> : public std::true_type
-{
-};
-
-/** Helper function to get the testing range for each activation layer.
- *
- * @param[in] activation Activation function to test.
- * @param[in] data_type Data type.
- * @param[in] fixed_point_position Number of bits for the fractional part. Defaults to 1.
- *
- * @return A pair containing the lower upper testing bounds for a given function.
- */
-template <typename T>
-std::pair<T, T> get_activation_layer_test_bounds(ActivationLayerInfo::ActivationFunction activation, DataType data_type, int fixed_point_position = 0)
-{
- std::pair<T, T> bounds;
-
- switch(data_type)
- {
- case DataType::F16:
- {
- using namespace half_float::literal;
-
- switch(activation)
- {
- case ActivationLayerInfo::ActivationFunction::SQUARE:
- case ActivationLayerInfo::ActivationFunction::LOGISTIC:
- case ActivationLayerInfo::ActivationFunction::SOFT_RELU:
- // Reduce range as exponent overflows
- bounds = std::make_pair(-10._h, 10._h);
- break;
- case ActivationLayerInfo::ActivationFunction::SQRT:
- // Reduce range as sqrt should take a non-negative number
- bounds = std::make_pair(0._h, 255._h);
- break;
- default:
- bounds = std::make_pair(-255._h, 255._h);
- break;
- }
- break;
- }
- case DataType::F32:
- switch(activation)
- {
- case ActivationLayerInfo::ActivationFunction::LOGISTIC:
- case ActivationLayerInfo::ActivationFunction::SOFT_RELU:
- // Reduce range as exponent overflows
- bounds = std::make_pair(-40.f, 40.f);
- break;
- case ActivationLayerInfo::ActivationFunction::SQRT:
- // Reduce range as sqrt should take a non-negative number
- bounds = std::make_pair(0.f, 255.f);
- break;
- default:
- bounds = std::make_pair(-255.f, 255.f);
- break;
- }
- break;
- case DataType::QS8:
- case DataType::QS16:
- switch(activation)
- {
- case ActivationLayerInfo::ActivationFunction::LOGISTIC:
- case ActivationLayerInfo::ActivationFunction::SOFT_RELU:
- case ActivationLayerInfo::ActivationFunction::TANH:
- // Reduce range as exponent overflows
- bounds = std::make_pair(-(1 << fixed_point_position), 1 << fixed_point_position);
- break;
- case ActivationLayerInfo::ActivationFunction::SQRT:
- // Reduce range as sqrt should take a non-negative number
- // Can't be zero either as inv_sqrt is used in NEON.
- bounds = std::make_pair(1, std::numeric_limits<T>::max());
- break;
- default:
- bounds = std::make_pair(std::numeric_limits<T>::lowest(), std::numeric_limits<T>::max());
- break;
- }
- break;
- default:
- ARM_COMPUTE_ERROR("Unsupported data type");
- }
-
- return bounds;
-}
-
-/** Calculate output tensor shape give a vector of input tensor to concatenate
- *
- * @param[in] input_shapes Shapes of the tensors to concatenate across depth.
- *
- * @return The shape of output concatenated tensor.
- */
-TensorShape calculate_depth_concatenate_shape(const std::vector<TensorShape> &input_shapes);
-} // namespace validation
-} // namespace test
-} // namespace arm_compute
-#endif /* __ARM_COMPUTE_TEST_VALIDATION_HELPERS_H__ */