From e855c237a5b61c4ed5a5ab79dd4af27385cf72f5 Mon Sep 17 00:00:00 2001 From: Stephen Li Date: Thu, 4 Jan 2018 14:13:22 +0800 Subject: APPBROWSER-377: GCConvoutionLayer support for FP16 Change-Id: I801b5e393a16a9f92c062826e6fcfd5982ca7bb3 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/116584 Tested-by: Jenkins Reviewed-by: Anthony Barbier --- tests/validation/GLES_COMPUTE/ConvolutionLayer.cpp | 134 +++++++++++++++++++++ 1 file changed, 134 insertions(+) create mode 100644 tests/validation/GLES_COMPUTE/ConvolutionLayer.cpp (limited to 'tests/validation/GLES_COMPUTE') diff --git a/tests/validation/GLES_COMPUTE/ConvolutionLayer.cpp b/tests/validation/GLES_COMPUTE/ConvolutionLayer.cpp new file mode 100644 index 0000000000..a5d1b6992f --- /dev/null +++ b/tests/validation/GLES_COMPUTE/ConvolutionLayer.cpp @@ -0,0 +1,134 @@ +/* + * Copyright (c) 2017-2018 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 CONCLCTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE + * SOFTWARE. + */ + +#include "arm_compute/core/Types.h" +#include "arm_compute/runtime/GLES_COMPUTE/GCTensor.h" +#include "arm_compute/runtime/GLES_COMPUTE/GCTensorAllocator.h" +#include "arm_compute/runtime/GLES_COMPUTE/functions/GCConvolutionLayer.h" +#include "tests/GLES_COMPUTE/GCAccessor.h" +#include "tests/PaddingCalculator.h" +#include "tests/datasets/LargeConvolutionLayerDataset.h" +#include "tests/datasets/SmallConvolutionLayerDataset.h" +#include "tests/framework/Asserts.h" +#include "tests/framework/Macros.h" +#include "tests/framework/datasets/Datasets.h" +#include "tests/validation/Validation.h" +#include "tests/validation/fixtures/ConvolutionLayerFixture.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace +{ +RelativeTolerance tolerance_f16(half_float::half(0.2)); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */ +constexpr float tolerance_num = 0.07f; /**< Tolerance number */ + +/** CNN data types */ +const auto CNNDataTypes = framework::dataset::make("DataType", +{ + DataType::F16, + // DataType::F32, +}); +} // namespace + +TEST_SUITE(GC) +TEST_SUITE(ConvolutionLayer) + +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallConvolutionLayerDataset(), datasets::LargeConvolutionLayerDataset()), CNNDataTypes), + input_shape, weights_shape, bias_shape, output_shape, info, data_type) +{ + // Set fixed point position data type allowed + int fixed_point_position = is_data_type_fixed_point(data_type) ? 3 : 0; + + auto bias_data_type = is_data_type_quantized_asymmetric(data_type) ? DataType::S32 : data_type; + + // Create tensors + GCTensor src = create_tensor(input_shape, data_type, 1, fixed_point_position, QuantizationInfo(2.f / 255.f, 127)); + GCTensor weights = create_tensor(weights_shape, data_type, 1, fixed_point_position, QuantizationInfo(2.f / 255.f, 127)); + GCTensor bias = create_tensor(bias_shape, bias_data_type, 1, fixed_point_position, QuantizationInfo(2.f / 255.f, 127)); + GCTensor dst = create_tensor(output_shape, data_type, 1, fixed_point_position, QuantizationInfo(2.f / 255.f, 127)); + + ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(weights.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(bias.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); + + const QuantizationInfo src_quantization_info = src.info()->quantization_info(); + const QuantizationInfo weights_quantization_info = weights.info()->quantization_info(); + + // Create and configure function + GCConvolutionLayer conv; + conv.configure(&src, &weights, &bias, &dst, info); + + // Validate valid region + const ValidRegion src_valid_region = shape_to_valid_region(input_shape); + const ValidRegion weights_valid_region = shape_to_valid_region(weights_shape); + const ValidRegion bias_valid_region = shape_to_valid_region(bias_shape); + const ValidRegion dst_valid_region = shape_to_valid_region(output_shape); + + validate(src.info()->valid_region(), src_valid_region); + validate(weights.info()->valid_region(), weights_valid_region); + validate(bias.info()->valid_region(), bias_valid_region); + validate(dst.info()->valid_region(), dst_valid_region); + + // Validate QuantizationInfo + ARM_COMPUTE_EXPECT(src.info()->quantization_info() == src_quantization_info, framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(weights.info()->quantization_info() == weights_quantization_info, framework::LogLevel::ERRORS); + + //Validate padding + //TODO(COMPMID-415) Need to validate padding? +} + +template +using GCConvolutionLayerFixture = ConvolutionValidationFixture; + +TEST_SUITE(Float) +TEST_SUITE(FP16) +FIXTURE_DATA_TEST_CASE(RunSmall, GCConvolutionLayerFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallConvolutionLayerDataset(), + framework::dataset::make("ReshapeWeights", { true, false })), + framework::dataset::make("DataType", + DataType::F16))) +{ + // Validate output + validate(GCAccessor(_target), _reference, tolerance_f16, tolerance_num); +} +FIXTURE_DATA_TEST_CASE(RunLarge, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeConvolutionLayerDataset(), + framework::dataset::make("ReshapeWeights", { true, false })), + framework::dataset::make("DataType", + DataType::F16))) +{ + // Validate output + validate(GCAccessor(_target), _reference, tolerance_f16, tolerance_num); +} +TEST_SUITE_END() + +TEST_SUITE_END() +TEST_SUITE_END() +} +} // namespace validation +} // namespace test +} // namespace arm_compute -- cgit v1.2.1