| /* |
| * 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 "Globals.h" |
| #include "NEON/NEAccessor.h" |
| #include "PaddingCalculator.h" |
| #include "TensorLibrary.h" |
| #include "TypePrinter.h" |
| #include "Utils.h" |
| #include "validation/Datasets.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/NEON/functions/NESoftmaxLayer.h" |
| #include "arm_compute/runtime/Tensor.h" |
| #include "arm_compute/runtime/TensorAllocator.h" |
| |
| #include "boost_wrapper.h" |
| |
| #include <random> |
| #include <string> |
| |
| using namespace arm_compute; |
| using namespace arm_compute::test; |
| using namespace arm_compute::test::neon; |
| using namespace arm_compute::test::validation; |
| |
| namespace |
| { |
| /** Tolerance for float operations */ |
| const float tolerance = 0.000001f; |
| /** Tolerance for fixed point operations */ |
| const float tolerance_fixed_point = 2.f; |
| |
| /** Compute Neon softmax layer function. |
| * |
| * @param[in] shape Shape of the input and output tensors. |
| * @param[in] dt Shape Data type of tensors. |
| * @param[in] fixed_point_position (Optional) Number of bits for the fractional part of fixed point numbers. |
| * |
| * @return Computed output tensor. |
| */ |
| Tensor compute_softmax_layer(const TensorShape &shape, DataType dt, int fixed_point_position = 0) |
| { |
| // Create tensors |
| Tensor src = create_tensor<Tensor>(shape, dt, 1, fixed_point_position); |
| Tensor dst = create_tensor<Tensor>(shape, dt, 1, fixed_point_position); |
| |
| // Create and configure function |
| NESoftmaxLayer smx_layer; |
| smx_layer.configure(&src, &dst); |
| |
| // Allocate tensors |
| src.allocator()->allocate(); |
| dst.allocator()->allocate(); |
| |
| BOOST_TEST(!src.info()->is_resizable()); |
| BOOST_TEST(!dst.info()->is_resizable()); |
| |
| // Fill tensors |
| if(arm_compute::is_data_type_float(dt)) |
| { |
| std::uniform_real_distribution<> distribution(-1000.f, 1000.f); |
| library->fill(NEAccessor(src), distribution, 0); |
| } |
| else |
| { |
| int one_fixed = 1 << fixed_point_position; |
| std::uniform_int_distribution<> distribution(-one_fixed, one_fixed); |
| library->fill(NEAccessor(src), distribution, 0); |
| } |
| |
| // Compute function |
| smx_layer.run(); |
| |
| return dst; |
| } |
| } // namespace |
| |
| #ifndef DOXYGEN_SKIP_THIS |
| BOOST_AUTO_TEST_SUITE(NEON) |
| BOOST_AUTO_TEST_SUITE(SoftmaxLayer) |
| |
| BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly")) |
| BOOST_DATA_TEST_CASE(Configuration, (SmallShapes() + LargeShapes()) * CNNDataTypes(), shape, dt) |
| { |
| // Set fixed point position data type allowed |
| int fixed_point_position = (arm_compute::is_data_type_fixed_point(dt)) ? 3 : 0; |
| |
| // Create tensors |
| Tensor src = create_tensor<Tensor>(shape, dt, 1, fixed_point_position); |
| Tensor dst = create_tensor<Tensor>(shape, dt, 1, fixed_point_position); |
| |
| BOOST_TEST(src.info()->is_resizable()); |
| BOOST_TEST(dst.info()->is_resizable()); |
| |
| // Create and configure function |
| NESoftmaxLayer smx_layer; |
| smx_layer.configure(&src, &dst); |
| |
| // Validate valid region |
| const ValidRegion valid_region = shape_to_valid_region(shape); |
| validate(src.info()->valid_region(), valid_region); |
| validate(dst.info()->valid_region(), valid_region); |
| |
| // Validate padding |
| const int step = 16 / arm_compute::data_size_from_type(dt); |
| const PaddingSize padding = PaddingCalculator(shape.x(), step).required_padding(); |
| validate(src.info()->padding(), padding); |
| validate(dst.info()->padding(), padding); |
| } |
| |
| BOOST_AUTO_TEST_SUITE(Float) |
| BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) |
| BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * CNNFloatDataTypes(), shape, dt) |
| { |
| // Compute function |
| Tensor dst = compute_softmax_layer(shape, dt); |
| |
| // Compute reference |
| RawTensor ref_dst = Reference::compute_reference_softmax_layer(shape, dt); |
| |
| // Validate output |
| validate(NEAccessor(dst), ref_dst, tolerance); |
| } |
| |
| BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly")) |
| BOOST_DATA_TEST_CASE(RunLarge, LargeShapes() * CNNFloatDataTypes(), shape, dt) |
| { |
| // Compute function |
| Tensor dst = compute_softmax_layer(shape, dt); |
| |
| // Compute reference |
| RawTensor ref_dst = Reference::compute_reference_softmax_layer(shape, dt); |
| |
| // Validate output |
| validate(NEAccessor(dst), ref_dst, tolerance); |
| } |
| BOOST_AUTO_TEST_SUITE_END() |
| |
| BOOST_AUTO_TEST_SUITE(Quantized) |
| BOOST_AUTO_TEST_SUITE(QS8) |
| // Testing for fixed point position [1,6) as reciprocal limits the maximum fixed point position to 5 |
| BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) |
| BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * boost::unit_test::data::xrange(1, 6), |
| shape, fixed_point_position) |
| { |
| // Compute function |
| Tensor dst = compute_softmax_layer(shape, DataType::QS8, fixed_point_position); |
| |
| // Compute reference |
| RawTensor ref_dst = Reference::compute_reference_softmax_layer(shape, DataType::QS8, fixed_point_position); |
| |
| // Validate output |
| validate(NEAccessor(dst), ref_dst, tolerance_fixed_point); |
| } |
| |
| BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly")) |
| BOOST_DATA_TEST_CASE(RunLarge, LargeShapes() * boost::unit_test::data::xrange(1, 6), |
| shape, fixed_point_position) |
| { |
| // Compute function |
| Tensor dst = compute_softmax_layer(shape, DataType::QS8, fixed_point_position); |
| |
| // Compute reference |
| RawTensor ref_dst = Reference::compute_reference_softmax_layer(shape, DataType::QS8, fixed_point_position); |
| |
| // Validate output |
| validate(NEAccessor(dst), ref_dst, tolerance_fixed_point); |
| } |
| BOOST_AUTO_TEST_SUITE_END() |
| |
| BOOST_AUTO_TEST_SUITE(QS16) |
| // Testing for fixed point position [1,14) as reciprocal limits the maximum fixed point position to 14 |
| BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) |
| BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * boost::unit_test::data::xrange(1, 14), |
| shape, fixed_point_position) |
| { |
| // Compute function |
| Tensor dst = compute_softmax_layer(shape, DataType::QS16, fixed_point_position); |
| |
| // Compute reference |
| RawTensor ref_dst = Reference::compute_reference_softmax_layer(shape, DataType::QS16, fixed_point_position); |
| |
| // Validate output |
| validate(NEAccessor(dst), ref_dst, tolerance_fixed_point); |
| } |
| |
| BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly")) |
| BOOST_DATA_TEST_CASE(RunLarge, LargeShapes() * boost::unit_test::data::xrange(1, 14), |
| shape, fixed_point_position) |
| { |
| // Compute function |
| Tensor dst = compute_softmax_layer(shape, DataType::QS16, fixed_point_position); |
| |
| // Compute reference |
| RawTensor ref_dst = Reference::compute_reference_softmax_layer(shape, DataType::QS16, fixed_point_position); |
| |
| // Validate output |
| validate(NEAccessor(dst), ref_dst, tolerance_fixed_point); |
| } |
| BOOST_AUTO_TEST_SUITE_END() |
| BOOST_AUTO_TEST_SUITE_END() |
| |
| BOOST_AUTO_TEST_SUITE_END() |
| BOOST_AUTO_TEST_SUITE_END() |
| #endif /* DOXYGEN_SKIP_THIS */ |