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Diffstat (limited to 'tests/validate_examples/graph_fully_connected.cpp')
| -rw-r--r-- | tests/validate_examples/graph_fully_connected.cpp | 315 |
1 files changed, 0 insertions, 315 deletions
diff --git a/tests/validate_examples/graph_fully_connected.cpp b/tests/validate_examples/graph_fully_connected.cpp deleted file mode 100644 index 645fa8b124..0000000000 --- a/tests/validate_examples/graph_fully_connected.cpp +++ /dev/null @@ -1,315 +0,0 @@ -/* - * Copyright (c) 2019 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. - */ -#include "arm_compute/graph.h" - -#include "support/ToolchainSupport.h" - -#include "tests/NEON/Accessor.h" -#include "tests/validation/Validation.h" -#include "tests/validation/reference/FullyConnectedLayer.h" -#include "tests/validation/reference/Permute.h" - -#include "utils/CommonGraphOptions.h" -#include "utils/GraphUtils.h" -#include "utils/Utils.h" - -#include "ValidateExample.h" -#include "graph_validate_utils.h" - -#include <utility> - -using namespace arm_compute::utils; -using namespace arm_compute::graph::frontend; -using namespace arm_compute::graph_utils; -using namespace arm_compute::graph; -using namespace arm_compute; -using namespace arm_compute::test; -using namespace arm_compute::test::validation; - -namespace -{ -/** Fully connected command line options used to configure the graph examples - * - * (Similar to common options) - * The options in this object get populated when "parse()" is called on the parser used to construct it. - * The expected workflow is: - * - * CommandLineParser parser; - * CommonOptions options( parser ); - * parser.parse(argc, argv); - */ -class FullyConnectedOptions final : public CommonGraphValidateOptions -{ -public: - explicit FullyConnectedOptions(CommandLineParser &parser) noexcept - : CommonGraphValidateOptions(parser), - width(parser.add_option<SimpleOption<int>>("width", 3)), - batch(parser.add_option<SimpleOption<int>>("batch", 1)), - input_scale(parser.add_option<SimpleOption<float>>("input_scale", 1.0f)), - input_offset(parser.add_option<SimpleOption<int>>("input_offset", 0)), - weights_scale(parser.add_option<SimpleOption<float>>("weights_scale", 1.0f)), - weights_offset(parser.add_option<SimpleOption<int>>("weights_offset", 0)), - output_scale(parser.add_option<SimpleOption<float>>("output_scale", 1.0f)), - output_offset(parser.add_option<SimpleOption<int>>("output_offset", 0)), - num_outputs(parser.add_option<SimpleOption<int>>("num_outputs", 1)), - input_range_low(parser.add_option<SimpleOption<uint64_t>>("input_range_low")), - input_range_high(parser.add_option<SimpleOption<uint64_t>>("input_range_high")), - weights_range_low(parser.add_option<SimpleOption<uint64_t>>("weights_range_low")), - weights_range_high(parser.add_option<SimpleOption<uint64_t>>("weights_range_high")) - { - width->set_help("Set Input dimension width"); - batch->set_help("Set Input dimension batch"); - input_scale->set_help("Quantization scale from QASYMM8"); - input_offset->set_help("Quantization offset from QASYMM8"); - weights_scale->set_help("Quantization scale from QASYMM8"); - weights_offset->set_help("Quantization offset from QASYMM8"); - output_scale->set_help("Quantization scale from QASYMM8"); - output_offset->set_help("Quantization offset from QASYMM8"); - num_outputs->set_help("Number of outputs."); - input_range_low->set_help("Lower bound for input randomization range"); - input_range_high->set_help("Lower bound for input randomization range"); - weights_range_low->set_help("Lower bound for input randomization range"); - weights_range_high->set_help("Lower bound for input randomization range"); - } - - /** Fill out the supplied parameters with user supplied parameters - * - * @param[out] os Output stream. - * @param[in] common_params Example parameters to output - * - * @return None. - */ - void consume_parameters(ExampleParams &common_params) - { - common_params.input.width = width->value(); - common_params.input.batch = batch->value(); - common_params.input.quant_info = QuantizationInfo(input_scale->value(), input_offset->value()); - common_params.input.range_low = input_range_low->value(); - common_params.input.range_high = input_range_high->value(); - - common_params.weights.quant_info = QuantizationInfo(weights_scale->value(), weights_offset->value()); - common_params.weights.range_low = weights_range_low->value(); - common_params.weights.range_high = weights_range_high->value(); - - common_params.output.quant_info = QuantizationInfo(output_scale->value(), output_offset->value()); - - common_params.data_type = data_type->value(); - common_params.fully_connected.num_outputs = num_outputs->value(); - } - - void print_parameters(::std::ostream &os, const ExampleParams &common_params) override - { - os << "Threads : " << common_params.common_params.threads << std::endl; - os << "Target : " << common_params.common_params.target << std::endl; - os << "Data type : " << common_params.data_type << std::endl; - os << "Input dimensions(X,Y, Channels, Batch) : (" << common_params.input.width << "," << common_params.input.height << "," << common_params.input.fm << "," << common_params.input.batch << ")" - << std::endl; - os << "Number of outputs : " << common_params.fully_connected.num_outputs << std::endl; - } - - /** Prevent instances of this class from being copied (As this class contains pointers) */ - FullyConnectedOptions(const FullyConnectedOptions &) = delete; - /** Prevent instances of this class from being copied (As this class contains pointers) */ - FullyConnectedOptions &operator=(const FullyConnectedOptions &) = delete; - /** Allow instances of this class to be moved */ - FullyConnectedOptions(FullyConnectedOptions &&) noexcept(true) = default; - /** Allow instances of this class to be moved */ - FullyConnectedOptions &operator=(FullyConnectedOptions &&) noexcept(true) = default; - /** Default destructor */ - ~FullyConnectedOptions() override = default; - -private: - SimpleOption<int> *width; /**< Input width */ - SimpleOption<int> *batch; /**< Input batch */ - SimpleOption<float> *input_scale; /**< Input Quantization scale from QASSYMM8 */ - SimpleOption<int> *input_offset; /**< Input Quantization offset from QASSYMM8 */ - SimpleOption<float> *weights_scale; /**< Weights Quantization scale from QASSYMM8 */ - SimpleOption<int> *weights_offset; /**< Weights Quantization offset from QASSYMM8 */ - SimpleOption<float> *output_scale; /**< Output Quantization scale from QASSYMM8 */ - SimpleOption<int> *output_offset; /**< Output Quantization offset from QASSYMM8 */ - SimpleOption<int> *num_outputs; /**< Number of outputs. */ - SimpleOption<uint64_t> *input_range_low; /**< Lower bound for input randomization range */ - SimpleOption<uint64_t> *input_range_high; /**< Upper bound for input randomization range */ - SimpleOption<uint64_t> *weights_range_low; /**< Lower bound for weights randomization range */ - SimpleOption<uint64_t> *weights_range_high; /**< Upper bound for weights randomization range */ -}; - -/** Fully Connected Layer Graph example validation accessor class */ -template <typename D> -class FullyConnectedVerifyAccessor final : public VerifyAccessor<D> -{ - using BaseClassType = VerifyAccessor<D>; - using BaseClassType::BaseClassType; - using BaseClassType::_params; - using TBias = typename std::conditional<std::is_same<typename std::decay<D>::type, uint8_t>::value, int32_t, D>::type; - - // Inherited methods overriden: - void create_tensors(arm_compute::test::SimpleTensor<D> &src, - arm_compute::test::SimpleTensor<D> &weights, - arm_compute::test::SimpleTensor<TBias> &bias, - ITensor &tensor) override - { - // Calculate Tensor shapes for verification - const TensorShape input_shape = TensorShape(_params.input.width, _params.input.height, _params.input.fm, _params.input.batch); - const TensorDescriptor input_descriptor = TensorDescriptor(input_shape, _params.data_type, _params.input.quant_info); - const TensorDescriptor weights_descriptor = FullyConnectedLayerNode::compute_weights_descriptor(input_descriptor, - _params.fully_connected.num_outputs, - _params.fully_connected.info, - _params.weights.quant_info); - const TensorDescriptor output_desciptor = FullyConnectedLayerNode::compute_output_descriptor(input_descriptor, _params.fully_connected.num_outputs, _params.output.quant_info); - - //Create Input tensors - src = SimpleTensor<D> { input_descriptor.shape, _params.data_type, 1, input_descriptor.quant_info }; - weights = SimpleTensor<D> { weights_descriptor.shape, _params.data_type, 1, weights_descriptor.quant_info }; - bias = SimpleTensor<TBias> { TensorShape(tensor.info()->tensor_shape().x()), _params.data_type, 1, _params.input.quant_info }; - } - - TensorShape output_shape(ITensor &tensor) override - { - ARM_COMPUTE_UNUSED(tensor); - - const TensorShape input_shape = TensorShape(_params.input.width, _params.input.height, _params.input.fm, _params.input.batch); - const TensorDescriptor input_descriptor = TensorDescriptor(input_shape, _params.data_type, _params.input.quant_info); - const TensorDescriptor output_desciptor = FullyConnectedLayerNode::compute_output_descriptor(input_descriptor, _params.fully_connected.num_outputs, _params.output.quant_info); - - return output_desciptor.shape; - } - - arm_compute::test::SimpleTensor<D> reference(arm_compute::test::SimpleTensor<D> &src, - arm_compute::test::SimpleTensor<D> &weights, - arm_compute::test::SimpleTensor<TBias> &bias, - const arm_compute::TensorShape &output_shape) override - { - return reference::fully_connected_layer<D>(src, weights, bias, output_shape, _params.output.quant_info); - } - - float relative_tolerance() override - { - const std::map<arm_compute::graph::Target, const std::map<DataType, float>> relative_tolerance - { - { - arm_compute::graph::Target::CL, - { { DataType::F16, 0.2f }, - { DataType::F32, 0.05f }, - { DataType::QASYMM8, 1.0f } - } - }, - { - arm_compute::graph::Target::NEON, - { { DataType::F16, 0.2f }, - { DataType::F32, 0.01f }, - { DataType::QASYMM8, 1.0f } - } - } - }; - - return relative_tolerance.at(_params.common_params.target).at(_params.data_type); - } - - float absolute_tolerance() override - { - const std::map<Target, const std::map<DataType, float>> absolute_tolerance - { - { - Target::CL, - { { DataType::F16, 0.0f }, - { DataType::F32, 0.0001f }, - { DataType::QASYMM8, 1.0f } - } - }, - { - Target::NEON, - { { DataType::F16, 0.3f }, - { DataType::F32, 0.1f }, - { DataType::QASYMM8, 1.0f } - } - } - }; - - return absolute_tolerance.at(_params.common_params.target).at(_params.data_type); - } - - float tolerance_number() override - { - const std::map<Target, const std::map<DataType, float>> absolute_tolerance - { - { - Target::CL, - { { DataType::F16, 0.07f }, - { DataType::F32, 0.07f }, - { DataType::QASYMM8, 0.0f } - } - }, - { - Target::NEON, - { { DataType::F16, 0.07f }, - { DataType::F32, 0.0f }, - { DataType::QASYMM8, 0.0f } - } - } - }; - - return absolute_tolerance.at(_params.common_params.target).at(_params.data_type); - } -}; - -} // namespace - -class GraphFullyConnectedValidateExample final : public GraphValidateExample<FullyConnectedLayer, FullyConnectedOptions, FullyConnectedVerifyAccessor> -{ - using GraphValidateExample::graph; - -public: - GraphFullyConnectedValidateExample() - : GraphValidateExample("Fully_connected Graph example") - { - } - - FullyConnectedLayer GraphFunctionLayer(ExampleParams ¶ms) override - { - const PixelValue lower = PixelValue(params.input.range_low, params.data_type, params.input.quant_info); - const PixelValue upper = PixelValue(params.input.range_high, params.data_type, params.input.quant_info); - - const PixelValue weights_lower = PixelValue(params.weights.range_low, params.data_type, params.weights.quant_info); - const PixelValue weights_upper = PixelValue(params.weights.range_high, params.data_type, params.weights.quant_info); - - return FullyConnectedLayer(params.fully_connected.num_outputs, - get_random_accessor(weights_lower, weights_upper, 1), - get_random_accessor(lower, upper, 2), - params.fully_connected.info, params.weights.quant_info, params.output.quant_info); - } -}; - -/** Main program for Graph fully_connected test - * - * @param[in] argc Number of arguments - * @param[in] argv Arguments ( Input dimensions [width, batch] - * Fully connected [num_outputs,type] - * Verification[tolerance_number,absolute_tolerance,relative_tolerance] ) - * - */ -int main(int argc, char **argv) -{ - return arm_compute::utils::run_example<GraphFullyConnectedValidateExample>(argc, argv); -} |