| /* |
| * 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. |
| */ |
| #include "CL/CLAccessor.h" |
| #include "Globals.h" |
| #include "PaddingCalculator.h" |
| #include "TensorLibrary.h" |
| #include "TypePrinter.h" |
| #include "Utils.h" |
| #include "validation/Datasets.h" |
| #include "validation/Helpers.h" |
| #include "validation/Reference.h" |
| #include "validation/Validation.h" |
| |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/runtime/CL/CLScheduler.h" |
| #include "arm_compute/runtime/CL/CLTensor.h" |
| #include "arm_compute/runtime/CL/CLTensorAllocator.h" |
| #include "arm_compute/runtime/CL/functions/CLDepthConcatenate.h" |
| |
| #include "support/ToolchainSupport.h" |
| |
| #include "boost_wrapper.h" |
| |
| #include <algorithm> |
| #include <memory> |
| #include <random> |
| #include <string> |
| #include <vector> |
| |
| using namespace arm_compute; |
| using namespace arm_compute::test; |
| using namespace arm_compute::test::cl; |
| using namespace arm_compute::test::validation; |
| |
| namespace |
| { |
| /** Compute OpenCL depth concatenate layer function. |
| * |
| * @param[in] shapes List of shapes to concatenate |
| * @param[in] dt Datatype of tensors |
| * @param[in] fixed_point_position (Optional) Number of bits for the fractional part of fixed point numbers. |
| * |
| * @return Computed output tensor. |
| */ |
| CLTensor compute_depth_concatenate_layer(const std::vector<TensorShape> &shapes, DataType dt, int fixed_point_position = 0) |
| { |
| std::vector<std::unique_ptr<CLTensor>> srcs{}; |
| TensorShape dst_shape = calculate_depth_concatenate_shape(shapes); |
| |
| // Create tensors |
| for(unsigned int i = 0; i < shapes.size(); ++i) |
| { |
| srcs.push_back(support::cpp14::make_unique<CLTensor>()); |
| srcs[i]->allocator()->init(TensorInfo(shapes[i], 1, dt, fixed_point_position)); |
| } |
| CLTensor dst = create_tensor<CLTensor>(dst_shape, dt, 1, fixed_point_position); |
| |
| // Create a vector of raw pointer |
| std::vector<ICLTensor *> srcs_raw{}; |
| srcs_raw.resize(srcs.size()); |
| std::transform(srcs.begin(), srcs.end(), srcs_raw.begin(), [](std::unique_ptr<CLTensor> const & t) |
| { |
| return t.get(); |
| }); |
| |
| // Create and configure function |
| CLDepthConcatenate depth_concat; |
| depth_concat.configure(srcs_raw, &dst); |
| |
| // Allocate tensors |
| for(auto &t : srcs) |
| { |
| t->allocator()->allocate(); |
| } |
| dst.allocator()->allocate(); |
| |
| for(const auto &t : srcs) |
| { |
| BOOST_TEST(!t->info()->is_resizable()); |
| } |
| BOOST_TEST(!dst.info()->is_resizable()); |
| |
| // Fill tensors |
| for(unsigned int i = 0; i < srcs.size(); ++i) |
| { |
| library->fill_tensor_uniform(CLAccessor(*srcs[i]), i); |
| } |
| |
| // Compute function |
| depth_concat.run(); |
| return dst; |
| } |
| } // namespace |
| |
| #ifndef DOXYGEN_SKIP_THIS |
| BOOST_AUTO_TEST_SUITE(CL) |
| BOOST_AUTO_TEST_SUITE(DepthConcatenateLayer) |
| |
| BOOST_AUTO_TEST_SUITE(Float) |
| BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) |
| BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * CNNFloatDataTypes(), shape, dt) |
| { |
| // Create input shapes |
| std::vector<unsigned int> depths = { 4, 6, 11, 13 }; |
| std::vector<TensorShape> shapes(depths.size(), shape); |
| for(unsigned int i = 0; i < shapes.size(); ++i) |
| { |
| shapes[i].set(2, depths[i]); |
| } |
| |
| // Compute function |
| CLTensor dst = compute_depth_concatenate_layer(shapes, dt); |
| |
| // Compute reference |
| RawTensor ref_dst = Reference::compute_reference_depth_concatenate_layer(shapes, dt); |
| |
| // Validate output |
| validate(CLAccessor(dst), ref_dst); |
| } |
| |
| BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) |
| BOOST_DATA_TEST_CASE(RunSmallPad, CNNFloatDataTypes(), dt) |
| { |
| // Create input shapes |
| std::vector<TensorShape> shapes{ TensorShape(12u, 12u, 14u, 8u), TensorShape(14u, 14u, 12u, 8u), TensorShape(16u, 16u, 11u, 8u) }; |
| |
| // Compute function |
| CLTensor dst = compute_depth_concatenate_layer(shapes, dt); |
| |
| // Compute reference |
| RawTensor ref_dst = Reference::compute_reference_depth_concatenate_layer(shapes, dt); |
| |
| // Validate output |
| validate(CLAccessor(dst), ref_dst); |
| } |
| BOOST_AUTO_TEST_SUITE_END() |
| |
| BOOST_AUTO_TEST_SUITE(Quantized) |
| BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) |
| BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * CNNFixedPointDataTypes() * boost::unit_test::data::xrange(3, 6, 1), shape, dt, fixed_point_position) |
| { |
| // Create input shapes |
| std::vector<unsigned int> depths = { 4, 6, 11, 13 }; |
| std::vector<TensorShape> shapes(depths.size(), shape); |
| for(unsigned int i = 0; i < shapes.size(); ++i) |
| { |
| shapes[i].set(2, depths[i]); |
| } |
| |
| // Compute function |
| CLTensor dst = compute_depth_concatenate_layer(shapes, dt, fixed_point_position); |
| |
| // Compute reference |
| RawTensor ref_dst = Reference::compute_reference_depth_concatenate_layer(shapes, dt, fixed_point_position); |
| |
| // Validate output |
| validate(CLAccessor(dst), ref_dst); |
| } |
| |
| BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) |
| BOOST_DATA_TEST_CASE(RunSmallPad, CNNFixedPointDataTypes() * boost::unit_test::data::xrange(3, 5, 1), dt, fixed_point_position) |
| { |
| // Create input shapes |
| std::vector<TensorShape> shapes{ TensorShape(12u, 12u, 14u, 8u), TensorShape(14u, 14u, 12u, 8u), TensorShape(16u, 16u, 11u, 8u) }; |
| |
| // Compute function |
| CLTensor dst = compute_depth_concatenate_layer(shapes, dt, fixed_point_position); |
| |
| // Compute reference |
| RawTensor ref_dst = Reference::compute_reference_depth_concatenate_layer(shapes, dt, fixed_point_position); |
| |
| // Validate output |
| validate(CLAccessor(dst), ref_dst); |
| } |
| BOOST_AUTO_TEST_SUITE_END() |
| |
| BOOST_AUTO_TEST_SUITE_END() |
| BOOST_AUTO_TEST_SUITE_END() |
| #endif /* DOXYGEN_SKIP_THIS */ |