| /* |
| * 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 "NEON/Accessor.h" |
| #include "NEON/Helper.h" |
| #include "NEON/LutAccessor.h" |
| #include "PaddingCalculator.h" |
| #include "RawLutAccessor.h" |
| #include "TypePrinter.h" |
| #include "Utils.h" |
| #include "tests/AssetsLibrary.h" |
| #include "tests/Globals.h" |
| #include "tests/validation_old/Datasets.h" |
| #include "tests/validation_old/Helpers.h" |
| #include "tests/validation_old/Reference.h" |
| #include "tests/validation_old/Validation.h" |
| |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/runtime/NEON/functions/NETableLookup.h" |
| #include "arm_compute/runtime/Tensor.h" |
| #include "arm_compute/runtime/TensorAllocator.h" |
| |
| #include "tests/validation_old/boost_wrapper.h" |
| |
| #include <random> |
| #include <string> |
| |
| using namespace arm_compute; |
| using namespace arm_compute::test; |
| using namespace arm_compute::test::validation; |
| |
| namespace |
| { |
| /** Compute Table Lookup function. |
| * |
| * @param[in] shape Shape of the input tensors |
| * @param[in] data_type Datatype of the input/output tensors |
| * @param[in] lut The input LUT. |
| * |
| * @return Computed output tensor. |
| */ |
| Tensor compute_table_lookup(const TensorShape &shape, DataType data_type, Lut &lut) |
| { |
| // Create tensors |
| Tensor src = create_tensor<Tensor>(shape, data_type); |
| Tensor dst = create_tensor<Tensor>(shape, data_type); |
| |
| // Create and configure function |
| NETableLookup table_lookup; |
| table_lookup.configure(&src, &lut, &dst); |
| |
| // Allocate tensors |
| src.allocator()->allocate(); |
| dst.allocator()->allocate(); |
| |
| BOOST_TEST(!src.info()->is_resizable()); |
| BOOST_TEST(!dst.info()->is_resizable()); |
| |
| // Fill tensors |
| library->fill_tensor_uniform(Accessor(src), 0); |
| |
| // Compute function |
| table_lookup.run(); |
| |
| return dst; |
| } |
| } // namespace |
| |
| #ifndef DOXYGEN_SKIP_THIS |
| BOOST_AUTO_TEST_SUITE(NEON) |
| BOOST_AUTO_TEST_SUITE(TableLookup) |
| |
| BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly")) |
| BOOST_DATA_TEST_CASE(Configuration, (SmallShapes() + LargeShapes()) * boost::unit_test::data::make({ DataType::U8, DataType::S16 }), |
| shape, data_type) |
| { |
| //Create Lut |
| const int num_elem = (data_type == DataType::U8) ? std::numeric_limits<uint8_t>::max() + 1 : std::numeric_limits<int16_t>::max() - std::numeric_limits<int16_t>::lowest() + 1; |
| Lut lut(num_elem, data_type); |
| |
| if(data_type == DataType::U8) |
| { |
| fill_lookuptable(LutAccessor<uint8_t>(lut)); |
| } |
| else |
| { |
| fill_lookuptable(LutAccessor<int16_t>(lut)); |
| } |
| |
| // Create tensors |
| Tensor src = create_tensor<Tensor>(shape, data_type); |
| Tensor dst = create_tensor<Tensor>(shape, data_type); |
| |
| BOOST_TEST(src.info()->is_resizable()); |
| BOOST_TEST(dst.info()->is_resizable()); |
| |
| // Create and configure function |
| NETableLookup table_lookup; |
| table_lookup.configure(&src, &lut, &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 PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding(); |
| validate(src.info()->padding(), padding); |
| validate(dst.info()->padding(), padding); |
| } |
| |
| BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) |
| BOOST_DATA_TEST_CASE(RunSmall, |
| SmallShapes() * boost::unit_test::data::make({ DataType::U8, DataType::S16 }), |
| shape, data_type) |
| { |
| //Create Lut |
| const int num_elem = (data_type == DataType::U8) ? std::numeric_limits<uint8_t>::max() + 1 : std::numeric_limits<int16_t>::max() - std::numeric_limits<int16_t>::lowest() + 1; |
| Lut lut(num_elem, data_type); |
| |
| if(data_type == DataType::U8) |
| { |
| //Create rawLut |
| std::map<uint8_t, uint8_t> rawlut; |
| |
| //Fill the Lut |
| fill_lookuptable(LutAccessor<uint8_t>(lut)); |
| fill_lookuptable(RawLutAccessor<uint8_t>(rawlut)); |
| |
| // Compute function |
| Tensor dst = compute_table_lookup(shape, data_type, lut); |
| |
| // Compute reference |
| RawTensor ref_dst = Reference::compute_reference_table_lookup(shape, data_type, rawlut); |
| |
| // Validate output |
| validate(Accessor(dst), ref_dst); |
| } |
| else |
| { |
| //Create rawLut |
| std::map<int16_t, int16_t> rawlut; |
| |
| //Fill the Lut |
| fill_lookuptable(LutAccessor<int16_t>(lut)); |
| fill_lookuptable(RawLutAccessor<int16_t>(rawlut)); |
| |
| // Compute function |
| Tensor dst = compute_table_lookup(shape, data_type, lut); |
| |
| // Compute reference |
| RawTensor ref_dst = Reference::compute_reference_table_lookup(shape, data_type, rawlut); |
| |
| // Validate output |
| validate(Accessor(dst), ref_dst); |
| } |
| } |
| |
| BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly")) |
| BOOST_DATA_TEST_CASE(RunLarge, |
| LargeShapes() * boost::unit_test::data::make({ DataType::U8, DataType::S16 }), |
| shape, data_type) |
| { |
| //Create Lut |
| const int num_elem = (data_type == DataType::U8) ? std::numeric_limits<uint8_t>::max() + 1 : std::numeric_limits<int16_t>::max() - std::numeric_limits<int16_t>::lowest() + 1; |
| Lut lut(num_elem, data_type); |
| |
| if(data_type == DataType::U8) |
| { |
| //Create rawLut |
| std::map<uint8_t, uint8_t> rawlut; |
| |
| //Fill the Lut |
| fill_lookuptable(LutAccessor<uint8_t>(lut)); |
| fill_lookuptable(RawLutAccessor<uint8_t>(rawlut)); |
| |
| // Compute function |
| Tensor dst = compute_table_lookup(shape, data_type, lut); |
| |
| // Compute reference |
| RawTensor ref_dst = Reference::compute_reference_table_lookup(shape, data_type, rawlut); |
| |
| // Validate output |
| validate(Accessor(dst), ref_dst); |
| } |
| else |
| { |
| //Create rawLut |
| std::map<int16_t, int16_t> rawlut; |
| |
| //Fill the Lut |
| fill_lookuptable(LutAccessor<int16_t>(lut)); |
| fill_lookuptable(RawLutAccessor<int16_t>(rawlut)); |
| |
| // Compute function |
| Tensor dst = compute_table_lookup(shape, data_type, lut); |
| |
| // Compute reference |
| RawTensor ref_dst = Reference::compute_reference_table_lookup(shape, data_type, rawlut); |
| |
| // Validate output |
| validate(Accessor(dst), ref_dst); |
| } |
| } |
| |
| BOOST_AUTO_TEST_SUITE_END() |
| BOOST_AUTO_TEST_SUITE_END() |
| #endif /* DOXYGEN_SKIP_THIS */ |