| /* |
| * Copyright (c) 2018-2020 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 "arm_compute/core/Types.h" |
| #include "src/core/CL/kernels/CLCol2ImKernel.h" |
| #include "tests/CL/CLAccessor.h" |
| #include "tests/CL/Helper.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/Col2ImFixture.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| TEST_SUITE(CL) |
| TEST_SUITE(Col2Im) |
| |
| using CLCol2Im = CLSynthetizeFunction<CLCol2ImKernel>; |
| |
| /** Negative tests |
| * |
| * A series of validation tests on configurations which according to the API specification |
| * the function should fail against. |
| * |
| * Checks performed in order: |
| * - Pass unsupported data type for input |
| * - Pass NHWC as output data layout |
| * - Pass an invalid output shape |
| */ |
| TEST_CASE(Negative, framework::DatasetMode::ALL) |
| { |
| // Unsupported data type |
| { |
| const auto input = TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::SIZET); |
| const auto output = TensorInfo(TensorShape(3U, 4U, 10U, 1U, 2U), 1, DataType::F32); |
| const auto conv_size = Size2D(3, 4); |
| const auto status = CLCol2ImKernel::validate(&input, &output, conv_size); |
| ARM_COMPUTE_EXPECT(bool(status) == false, framework::LogLevel::ERRORS); |
| } |
| |
| // NHWC as output data layout |
| { |
| const auto input = TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32); |
| const auto output = TensorInfo(TensorShape(3U, 4U, 10U, 1U, 2U), 1, DataType::F32, DataLayout::NHWC); |
| const auto conv_size = Size2D(3, 4); |
| const auto status = CLCol2ImKernel::validate(&input, &output, conv_size); |
| ARM_COMPUTE_EXPECT(bool(status) == false, framework::LogLevel::ERRORS); |
| } |
| |
| // Invalid output size |
| { |
| const auto input = TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32); |
| const auto output = TensorInfo(TensorShape(3U, 4U, 10U, 2U, 2U), 1, DataType::F32); |
| const auto conv_size = Size2D(3, 4); |
| const auto status = CLCol2ImKernel::validate(&input, &output, conv_size); |
| ARM_COMPUTE_EXPECT(bool(status) == false, framework::LogLevel::ERRORS); |
| } |
| } |
| |
| template <typename T> |
| using CLCol2ImFixture = Col2ImValidationFixture<CLTensor, CLAccessor, CLCol2Im, T, true>; |
| |
| /** Test kernel for single-precision floating point |
| * |
| * @note 8 elements processed per iteration |
| * |
| * Three main tests will be run: |
| * - Channels are multiple of elements processed |
| * - Channels larger and non multiple of elements used |
| * - Channels smaller and not multiple of elements used |
| * |
| * The above will be repeated with a different group size |
| * |
| * Kernel tested col2im |
| */ |
| FIXTURE_DATA_TEST_CASE(FP32, |
| CLCol2ImFixture<float>, |
| framework::DatasetMode::ALL, |
| combine(combine(combine(combine( |
| framework::dataset::make("InputShape", { TensorShape(8U, 16U, 3U, 1U), TensorShape(17U, 16U, 3U, 1U), TensorShape(7U, 16U, 3U, 1U) }), |
| framework::dataset::make("ConvolvedWidth", 4)), |
| framework::dataset::make("ConvolvedHeight", 4)), |
| framework::dataset::make("Groups", { 1, 3 })), |
| framework::dataset::make("DataType", DataType::F32))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| |
| /** Test kernel for half-precision floating point |
| * |
| * @note 8 elements processed per iteration |
| * |
| * One main tests will be run: |
| * - Channels larger and non multiple of elements used |
| * |
| * We just need to test the difference in the data type size. |
| * Any other issues can be identified by the main FP32 tests |
| * |
| * Kernel tested col2im |
| */ |
| FIXTURE_DATA_TEST_CASE(F16, |
| CLCol2ImFixture<half>, |
| framework::DatasetMode::ALL, |
| combine(combine(combine(combine( |
| framework::dataset::make("InputShape", TensorShape(17U, 16U, 3U, 1U)), |
| framework::dataset::make("ConvolvedWidth", 4)), |
| framework::dataset::make("ConvolvedHeight", 4)), |
| framework::dataset::make("Groups", 3)), |
| framework::dataset::make("DataType", DataType::F16))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| |
| /** Test kernel for unsigned asymmetric quantized type |
| * |
| * @note 8 elements processed per iteration |
| * |
| * One main tests will be run: |
| * - Channels larger and non multiple of elements used |
| * |
| * We just need to test the difference in the data type size. |
| * Any other issues can be identified by the main FP32 tests |
| * |
| * Kernel tested col2im |
| */ |
| FIXTURE_DATA_TEST_CASE(QASYMM8, |
| CLCol2ImFixture<uint8_t>, |
| framework::DatasetMode::ALL, |
| combine(combine(combine(combine( |
| framework::dataset::make("InputShape", TensorShape(17U, 16U, 3U, 1U)), |
| framework::dataset::make("ConvolvedWidth", 4)), |
| framework::dataset::make("ConvolvedHeight", 4)), |
| framework::dataset::make("Groups", 3)), |
| framework::dataset::make("DataType", DataType::QASYMM8))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| |
| TEST_SUITE_END() // CL |
| TEST_SUITE_END() // Col2Im |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |