From 2ded0afaf1d6af1fbaba0ab743e773c623538608 Mon Sep 17 00:00:00 2001 From: Ioan-Cristian Szabo Date: Fri, 15 Dec 2017 10:05:52 +0000 Subject: Add CL/NEON DepthConcatenateLayer benchmark tests Change-Id: Ibdfa0ad6e933a9b4b27504ead9bec999488c4636 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/113460 Reviewed-by: Georgios Pinitas Tested-by: BSG Visual Compute Jenkins server to access repositories on http://mpd-gerrit.cambridge.arm.com --- .../fixtures/DepthConcatenateLayerFixture.h | 147 +++++++++++++++++++++ 1 file changed, 147 insertions(+) create mode 100644 tests/benchmark/fixtures/DepthConcatenateLayerFixture.h (limited to 'tests/benchmark/fixtures/DepthConcatenateLayerFixture.h') diff --git a/tests/benchmark/fixtures/DepthConcatenateLayerFixture.h b/tests/benchmark/fixtures/DepthConcatenateLayerFixture.h new file mode 100644 index 0000000000..221f34c6fd --- /dev/null +++ b/tests/benchmark/fixtures/DepthConcatenateLayerFixture.h @@ -0,0 +1,147 @@ +/* + * 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_DEPTHCONCATENATELAYERFIXTURE +#define ARM_COMPUTE_TEST_DEPTHCONCATENATELAYERFIXTURE + +#include "arm_compute/core/TensorShape.h" +#include "arm_compute/core/Types.h" +#include "arm_compute/core/Utils.h" +#include "tests/AssetsLibrary.h" +#include "tests/Globals.h" +#include "tests/Utils.h" +#include "tests/framework/Fixture.h" + +#include + +namespace arm_compute +{ +namespace test +{ +namespace benchmark +{ +/** Fixture that can be used for NE/CL/GC */ +template +class DepthConcatenateLayerFixture : public framework::Fixture +{ +public: + inline std::vector generate_input_shapes(TensorShape shape) + { + // Create input shapes + std::mt19937 gen(library->seed()); + std::uniform_int_distribution<> num_dis(2, 6); + const int num_tensors = num_dis(gen); + + std::vector shapes(num_tensors, shape); + std::uniform_int_distribution<> depth_dis(1, 7); + std::bernoulli_distribution mutate_dis(0.25f); + std::uniform_real_distribution<> change_dis(-0.25f, 0.f); + + // Generate more shapes based on the input + for(auto &s : shapes) + { + // Set the depth of the tensor + s.set(2, depth_dis(gen)); + + // Randomly change the first dimension + if(mutate_dis(gen)) + { + // Decrease the dimension by a small percentage. Don't increase + // as that could make tensor too large. Also the change must be + // an even number. Otherwise out depth concatenate fails. + s.set(0, s[0] + 2 * static_cast(s[0] * change_dis(gen))); + } + + // Repeat the same as above for the second dimension + if(mutate_dis(gen)) + { + s.set(1, s[1] + 2 * static_cast(s[1] * change_dis(gen))); + } + } + + return shapes; + } + + template + void setup(TensorShape shape, DataType data_type) + { + // Generate input shapes + std::vector src_shapes = generate_input_shapes(shape); + + // Create tensors + _srcs.reserve(src_shapes.size()); + + std::vector src_ptrs; + + for(const auto &shape : src_shapes) + { + _srcs.emplace_back(create_tensor(shape, data_type, 1, _fractional_bits)); + src_ptrs.emplace_back(&_srcs.back()); + } + + TensorShape dst_shape = calculate_depth_concatenate_shape(src_ptrs); + _dst = create_tensor(dst_shape, data_type, 1, _fractional_bits); + + _depth_concat.configure(src_ptrs, &_dst); + + for(auto &src : _srcs) + { + src.allocator()->allocate(); + } + + _dst.allocator()->allocate(); + + int i = 0; + for(auto &src : _srcs) + { + library->fill_tensor_uniform(AccessorType(src), i++); + } + } + + void run() + { + _depth_concat.run(); + } + + void teardown() + { + for(auto &src : _srcs) + { + src.allocator()->free(); + } + + _srcs.clear(); + + _dst.allocator()->free(); + } + +private: + std::vector _srcs{}; + TensorType _dst{}; + Function _depth_concat{}; + int _fractional_bits{ 1 }; +}; +} // namespace benchmark +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_DEPTHCONCATENATELAYERFIXTURE */ -- cgit v1.2.1