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Diffstat (limited to 'tests/validation/TensorVisitors.h')
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diff --git a/tests/validation/TensorVisitors.h b/tests/validation/TensorVisitors.h new file mode 100644 index 0000000000..a274140734 --- /dev/null +++ b/tests/validation/TensorVisitors.h @@ -0,0 +1,386 @@ +/* + * 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_VISITORS_H__ +#define __ARM_COMPUTE_TEST_TENSOR_VISITORS_H__ + +#include "Tensor.h" +#include "TensorOperations.h" +#include "arm_compute/core/Error.h" + +#include "boost_wrapper.h" + +#include <ostream> + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace tensor_visitors +{ +// Absolute Difference visitor +struct absolute_difference_visitor : public boost::static_visitor<> +{ +public: + template <typename T1, typename T2, typename T3> + void operator()(const Tensor<T1> &in1, const Tensor<T2> &in2, Tensor<T3> &out) const + { + tensor_operations::absolute_difference(in1, in2, out); + } +}; +// Arithmetic Addition visitor +struct arithmetic_addition_visitor : public boost::static_visitor<> +{ +public: + explicit arithmetic_addition_visitor(ConvertPolicy convert_policy) + : _policy(convert_policy) + { + } + + template <typename T1, typename T2, typename T3> + void operator()(const Tensor<T1> &in1, const Tensor<T2> &in2, Tensor<T3> &out) const + { + tensor_operations::arithmetic_addition(in1, in2, out, _policy); + } + +private: + ConvertPolicy _policy; +}; +// Arithmetic Subtraction visitor +struct arithmetic_subtraction_visitor : public boost::static_visitor<> +{ +public: + explicit arithmetic_subtraction_visitor(ConvertPolicy convert_policy) + : _policy(convert_policy) + { + } + + template <typename T1, typename T2, typename T3> + void operator()(const Tensor<T1> &in1, const Tensor<T2> &in2, Tensor<T3> &out) const + { + tensor_operations::arithmetic_subtraction(in1, in2, out, _policy); + } + +private: + ConvertPolicy _policy; +}; +// Depth Convert visitor +struct depth_convert_visitor : public boost::static_visitor<> +{ +public: + explicit depth_convert_visitor(ConvertPolicy policy, uint32_t shift) + : _policy(policy), _shift(shift) + { + } + + template <typename T1, typename T2> + void operator()(const Tensor<T1> &in, Tensor<T2> &out) const + { + tensor_operations::depth_convert(in, out, _policy, _shift); + } + +private: + ConvertPolicy _policy; + uint32_t _shift; +}; +// GEMM visitor +struct gemm_visitor : public boost::static_visitor<> +{ +public: + explicit gemm_visitor(const TensorVariant &in1, const TensorVariant &in2, const TensorVariant &in3, float alpha, float beta) + : _in1(in1), _in2(in2), _in3(in3), _alpha(alpha), _beta(beta) + { + } + + template <typename T> + void operator()(Tensor<T> &out) const + { + const Tensor<T> &in1 = boost::get<Tensor<T>>(_in1); + const Tensor<T> &in2 = boost::get<Tensor<T>>(_in2); + const Tensor<T> &in3 = boost::get<Tensor<T>>(_in3); + tensor_operations::gemm(in1, in2, in3, out, _alpha, _beta); + } + +private: + const TensorVariant &_in1, &_in2, &_in3; + float _alpha; + float _beta; +}; +// Pixel-wise Multiplication visitor +struct pixel_wise_multiplication_visitor : public boost::static_visitor<> +{ +public: + explicit pixel_wise_multiplication_visitor(float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy) + : _scale(scale), _convert_policy(convert_policy), _rounding_policy(rounding_policy) + { + } + + template <typename T1, typename T2, typename T3> + void operator()(const Tensor<T1> &in1, const Tensor<T2> &in2, Tensor<T3> &out) const + { + tensor_operations::pixel_wise_multiplication(in1, in2, out, _scale, _convert_policy, _rounding_policy); + } + +private: + float _scale; + ConvertPolicy _convert_policy; + RoundingPolicy _rounding_policy; +}; +// Fixed Point Pixel-wise Multiplication visitor +struct fixed_point_pixel_wise_multiplication_visitor : public boost::static_visitor<> +{ +public: + explicit fixed_point_pixel_wise_multiplication_visitor(const TensorVariant &in1, const TensorVariant &in2, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy) + : _in1(in1), _in2(in2), _scale(scale), _convert_policy(convert_policy), _rounding_policy(rounding_policy) + { + } + + template <typename T, typename = typename std::enable_if<std::is_integral<T>::value>::type> + void operator()(Tensor<T> &out) const + { + const Tensor<T> &in1 = boost::get<Tensor<T>>(_in1); + const Tensor<T> &in2 = boost::get<Tensor<T>>(_in2); + tensor_operations::fixed_point_pixel_wise_multiplication(in1, in2, out, _scale, _convert_policy, _rounding_policy); + } + template < typename T, typename std::enable_if < !std::is_integral<T>::value, int >::type = 0 > + void operator()(Tensor<T> &out) const + { + ARM_COMPUTE_ERROR("NOT SUPPORTED!"); + } + +private: + const TensorVariant &_in1; + const TensorVariant &_in2; + float _scale; + ConvertPolicy _convert_policy; + RoundingPolicy _rounding_policy; +}; +// Threshold operation +void threshold_operation(const Tensor<uint8_t> &in, Tensor<uint8_t> &out, uint8_t threshold, uint8_t false_value, uint8_t true_value, ThresholdType type, uint8_t upper) +{ + tensor_operations::threshold(in, out, threshold, false_value, true_value, type, upper); +} +// Activation layer visitor +struct activation_layer_visitor : public boost::static_visitor<> +{ +public: + explicit activation_layer_visitor(const TensorVariant &in, ActivationLayerInfo act_info) + : _in(in), _act_info(act_info) + { + } + + template <typename T> + void operator()(Tensor<T> &out) const + { + const auto &in = boost::get<Tensor<T>>(_in); + tensor_operations::activation_layer(in, out, _act_info); + } + +private: + const TensorVariant &_in; + const ActivationLayerInfo _act_info; +}; +// Batch Normalization Layer visitor +struct batch_normalization_layer_visitor : public boost::static_visitor<> +{ +public: + explicit batch_normalization_layer_visitor(const TensorVariant &in, const TensorVariant &mean, const TensorVariant &var, const TensorVariant &beta, const TensorVariant &gamma, float epsilon, + int fixed_point_position = 0) + : _in(in), _mean(mean), _var(var), _beta(beta), _gamma(gamma), _epsilon(epsilon), _fixed_point_position(fixed_point_position) + { + } + + template <typename T> + void operator()(Tensor<T> &out) const + { + const Tensor<T> &in = boost::get<Tensor<T>>(_in); + const Tensor<T> &mean = boost::get<Tensor<T>>(_mean); + const Tensor<T> &var = boost::get<Tensor<T>>(_var); + const Tensor<T> &beta = boost::get<Tensor<T>>(_beta); + const Tensor<T> &gamma = boost::get<Tensor<T>>(_gamma); + tensor_operations::batch_normalization_layer(in, out, mean, var, beta, gamma, _epsilon, _fixed_point_position); + } + +private: + const TensorVariant &_in, &_mean, &_var, &_beta, &_gamma; + float _epsilon; + int _fixed_point_position; +}; +// Convolution Layer visitor +struct convolution_layer_visitor : public boost::static_visitor<> +{ +public: + explicit convolution_layer_visitor(const TensorVariant &in, const TensorVariant &weights, const TensorVariant &bias, PadStrideInfo conv_info) + : _in(in), _weights(weights), _bias(bias), _conv_info(conv_info) + { + } + + template <typename T> + void operator()(Tensor<T> &out) const + { + const Tensor<T> &in = boost::get<Tensor<T>>(_in); + const Tensor<T> &weights = boost::get<Tensor<T>>(_weights); + const Tensor<T> &bias = boost::get<Tensor<T>>(_bias); + tensor_operations::convolution_layer(in, weights, bias, out, _conv_info); + } + +private: + const TensorVariant &_in; + const TensorVariant &_weights; + const TensorVariant &_bias; + PadStrideInfo _conv_info; +}; + +struct fully_connected_layer_visitor : public boost::static_visitor<> +{ +public: + explicit fully_connected_layer_visitor(const TensorVariant &in, const TensorVariant &weights, const TensorVariant &bias) + : _in(in), _weights(weights), _bias(bias) + { + } + template <typename T> + void operator()(Tensor<T> &out) const + { + const Tensor<T> &in = boost::get<Tensor<T>>(_in); + const Tensor<T> &weights = boost::get<Tensor<T>>(_weights); + const Tensor<T> &bias = boost::get<Tensor<T>>(_bias); + tensor_operations::fully_connected_layer(in, weights, bias, out); + } + +private: + const TensorVariant &_in; + const TensorVariant &_weights; + const TensorVariant &_bias; +}; + +// Normalization Layer visitor +struct normalization_layer_visitor : public boost::static_visitor<> +{ +public: + explicit normalization_layer_visitor(const TensorVariant &in, NormalizationLayerInfo norm_info) + : _in(in), _norm_info(norm_info) + { + } + + template <typename T> + void operator()(Tensor<T> &out) const + { + const Tensor<T> &in = boost::get<Tensor<T>>(_in); + tensor_operations::normalization_layer(in, out, _norm_info); + } + +private: + const TensorVariant &_in; + NormalizationLayerInfo _norm_info; +}; +// Pooling layer +struct pooling_layer_visitor : public boost::static_visitor<> +{ +public: + explicit pooling_layer_visitor(const TensorVariant &in, PoolingLayerInfo pool_info, int fixed_point_position = 0) + : _in(in), _pool_info(pool_info), _fixed_point_position(fixed_point_position) + { + } + + template <typename T> + void operator()(Tensor<T> &out) const + { + const Tensor<T> &in = boost::get<Tensor<T>>(_in); + tensor_operations::pooling_layer(in, out, _pool_info, _fixed_point_position); + } + +private: + const TensorVariant &_in; + PoolingLayerInfo _pool_info; + int _fixed_point_position; +}; +// Softmax Layer visitor +struct softmax_layer_visitor : public boost::static_visitor<> +{ +public: + explicit softmax_layer_visitor(const TensorVariant &in) + : _in(in) + { + } + + template <typename T> + void operator()(Tensor<T> &out) const + { + const auto &in = boost::get<Tensor<T>>(_in); + tensor_operations::softmax_layer(in, out); + } + +private: + const TensorVariant &_in; +}; +// Fixed Point operations visitor +struct fixed_point_operation_visitor : public boost::static_visitor<> +{ +public: + explicit fixed_point_operation_visitor(const TensorVariant &in, FixedPointOp op) + : _in(in), _op(op) + { + } + + template <typename T, typename std::enable_if<std::is_integral<T>::value, int>::type = 0> + void operator()(Tensor<T> &out) const + { + const Tensor<T> &in = boost::get<Tensor<T>>(_in); + tensor_operations::fixed_point_operation(in, out, _op); + } + template < typename T, typename std::enable_if < !std::is_integral<T>::value, int >::type = 0 > + void operator()(Tensor<T> &out) const + { + ARM_COMPUTE_ERROR("NOT SUPPORTED!"); + } + +private: + const TensorVariant &_in; + FixedPointOp _op; +}; +// Print Tensor visitor +struct print_visitor : public boost::static_visitor<> +{ +public: + explicit print_visitor(std::ostream &out) + : _out(out) + { + } + + template <typename T> + void operator()(const Tensor<T> &in) const + { + tensor_operations::print(in, _out); + } + +private: + std::ostream &_out; +}; +} // namespace tensor_visitors +} // namespace validation +} // namespace test +} // namespace arm_compute + +#endif /* __ARM_COMPUTE_TEST_TENSOR_VISITORS_H__ */ |