From ce093143ec7b554edefc533c90e45c80946cde51 Mon Sep 17 00:00:00 2001 From: Georgios Pinitas Date: Mon, 19 Jun 2017 16:11:53 +0100 Subject: COMPMID-403:Add support for 7x7 pooling on CL. Change-Id: I3c2c8d7e8e61d7737170cb1568900ce4ac337068 Reviewed-on: http://mpd-gerrit.cambridge.arm.com/78181 Reviewed-by: Michele DiGiorgio Tested-by: Kaizen Reviewed-by: Moritz Pflanzer --- tests/validation/CL/PoolingLayer.cpp | 119 +++++++++++++++++++++++++++++++++++ 1 file changed, 119 insertions(+) create mode 100644 tests/validation/CL/PoolingLayer.cpp (limited to 'tests/validation/CL/PoolingLayer.cpp') diff --git a/tests/validation/CL/PoolingLayer.cpp b/tests/validation/CL/PoolingLayer.cpp new file mode 100644 index 0000000000..1d0e745088 --- /dev/null +++ b/tests/validation/CL/PoolingLayer.cpp @@ -0,0 +1,119 @@ +/* + * 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 "CL/Helper.h" +#include "TypePrinter.h" +#include "arm_compute/runtime/CL/functions/CLPoolingLayer.h" +#include "tests/dataset/PoolingLayerDataset.h" +#include "validation/Datasets.h" +#include "validation/Reference.h" +#include "validation/Validation.h" + +#include + +using namespace arm_compute; +using namespace arm_compute::test; +using namespace arm_compute::test::cl; +using namespace arm_compute::test::validation; + +namespace +{ +const float tolerance_f = 1e-05; /**< Tolerance value for comparing reference's output against implementation's output for float input */ + +/** Compute CL pooling layer function. + * + * @param[in] shape Shape of the input and output tensors. + * @param[in] dt Data type of input and output tensors. + * @param[in] pool_info Pooling Layer information. + * + * @return Computed output tensor. + */ +CLTensor compute_pooling_layer(const TensorShape &shape_in, const TensorShape &shape_out, DataType dt, PoolingLayerInfo pool_info) +{ + // Create tensors + CLTensor src = create_tensor(shape_in, dt); + CLTensor dst = create_tensor(shape_out, dt); + + // Create and configure function + CLPoolingLayer pool; + pool.configure(&src, &dst, pool_info); + + // Allocate tensors + src.allocator()->allocate(); + dst.allocator()->allocate(); + + BOOST_TEST(!src.info()->is_resizable()); + BOOST_TEST(!dst.info()->is_resizable()); + + // Fill tensors + std::uniform_real_distribution<> distribution(-1, 1); + library->fill(CLAccessor(src), distribution, 0); + + // Compute function + pool.run(); + + return dst; +} + +TensorShape get_output_shape(TensorShape in_shape, const PoolingLayerInfo &pool_info) +{ + TensorShape out_shape(in_shape); + const std::pair scaled_dims = arm_compute::scaled_dimensions(in_shape.x(), + in_shape.y(), + pool_info.pool_size(), + pool_info.pad_stride_info().stride().first, pool_info.pad_stride_info().stride().second, + pool_info.pad_stride_info().pad().first, pool_info.pad_stride_info().pad().second, + pool_info.pad_stride_info().round()); + out_shape.set(0, scaled_dims.first); + out_shape.set(1, scaled_dims.second); + return out_shape; +} +} // namespace + +#ifndef DOXYGEN_SKIP_THIS +BOOST_AUTO_TEST_SUITE(CL) +BOOST_AUTO_TEST_SUITE(PoolingLayer) + +BOOST_AUTO_TEST_SUITE(Float) +BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) +BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * CNNFloatDataTypes() * PoolingTypes() * boost::unit_test::data::make({ 2, 3, 7 }) * boost::unit_test::data::make({ 1, 2 }) * boost::unit_test::data::make({ 0, 1 }), + src_shape, dt, pool_type, pool_size, pool_stride, pool_pad) +{ + PoolingLayerInfo pool_info(pool_type, pool_size, PadStrideInfo(pool_stride, pool_stride, pool_pad, pool_pad, DimensionRoundingType::CEIL)); + TensorShape dst_shape = get_output_shape(src_shape, pool_info); + + // Compute function + CLTensor dst = compute_pooling_layer(src_shape, dst_shape, dt, pool_info); + + // Compute reference + RawTensor ref_dst = Reference::compute_reference_pooling_layer(src_shape, dst_shape, dt, pool_info); + + // Validate output + validate(CLAccessor(dst), ref_dst, tolerance_f); +} +BOOST_AUTO_TEST_SUITE_END() + +BOOST_AUTO_TEST_SUITE_END() +BOOST_AUTO_TEST_SUITE_END() +#endif -- cgit v1.2.1