| /* |
| * Copyright (c) 2018-2021 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/gpu/cl/kernels/ClWeightsReshapeKernel.h" |
| #include "tests/CL/CLAccessor.h" |
| #include "tests/CL/Helper.h" |
| #include "tests/datasets/ShapeDatasets.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/WeightsReshapeFixture.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| TEST_SUITE(CL) |
| TEST_SUITE(WeightsReshape) |
| |
| using ClWeightsReshape = ClSynthetizeOperatorWithBorder<opencl::kernels::ClWeightsReshapeKernel>; |
| |
| /** Validate tests |
| * |
| * A series of validation tests on configurations which according to the API specification |
| * the function should fail against. |
| * |
| * Checks performed in order: |
| * - Mismachting data type: bias need to has same data type as input |
| * - Mismachting data type: output need to has same data type as input |
| * - Bias only supports FP32/FP16 |
| * - num_groups != 1 is only supported for NCHW data layout |
| * - Bias' shape need to match input's shape. |
| */ |
| DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip( |
| framework::dataset::make("InputInfo", |
| { |
| TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), // Mismatching data type |
| TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), // Mismatching data type |
| TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::QASYMM8), // Bias only supports FP32/FP16 |
| TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, DataLayout::NHWC), // num_groups != 1 is only supported for NCHW data layout |
| TensorInfo(TensorShape(3U, 3U, 2U, 4U, 4U), 1, DataType::F32), // Bias' shape need to match input's shape |
| TensorInfo(TensorShape(3U, 3U, 2U, 4U, 4U), 1, DataType::F32), // Bias' shape need to match input's shape |
| }), |
| framework::dataset::make("BiasesInfo", |
| { |
| TensorInfo(TensorShape(4U), 1, DataType::F16), |
| TensorInfo(TensorShape(4U), 1, DataType::F32), |
| TensorInfo(TensorShape(4U), 1, DataType::QASYMM8), |
| TensorInfo(TensorShape(4U), 1, DataType::F32), |
| TensorInfo(TensorShape(4U, 3U), 1, DataType::F32), |
| TensorInfo(TensorShape(3U, 4U), 1, DataType::F32), |
| })), |
| framework::dataset::make("OutputInfo", |
| { |
| TensorInfo(TensorShape(4U, 19U), 1, DataType::F32), |
| TensorInfo(TensorShape(4U, 19U), 1, DataType::F16), |
| TensorInfo(TensorShape(4U, 19U), 1, DataType::QASYMM8), |
| TensorInfo(TensorShape(4U, 19U), 1, DataType::F32), |
| TensorInfo(TensorShape(4U, 19U), 1, DataType::F32), |
| TensorInfo(TensorShape(4U, 19U), 1, DataType::F32), |
| })), |
| framework::dataset::make("NumGroups", { 1, 1, 1, 2, 1, 2 })), |
| framework::dataset::make("Expected", { false, false, false, false, false, false })), |
| input_info, biases_info, output_info, num_groups, expected) |
| { |
| bool status = bool(opencl::kernels::ClWeightsReshapeKernel::validate(&input_info, &biases_info, &output_info, num_groups)); |
| ARM_COMPUTE_EXPECT(status == expected, framework::LogLevel::ERRORS); |
| } |
| |
| template <typename T> |
| using ClWeightsReshapeFixture = WeightsReshapeOpValidationFixture<CLTensor, CLAccessor, ClWeightsReshape, T>; |
| |
| TEST_SUITE(Float) |
| FIXTURE_DATA_TEST_CASE(FP32, ClWeightsReshapeFixture<float>, framework::DatasetMode::ALL, combine(combine(combine(framework::dataset::make("InputShape", { TensorShape(3U, 3U, 48U, 120U) }), |
| framework::dataset::make("DataType", DataType::F32)), |
| framework::dataset::make("HasBias", { true, false })), |
| framework::dataset::make("NumGroups", { 1, 2 }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(FP16, ClWeightsReshapeFixture<half>, framework::DatasetMode::ALL, combine(combine(combine(framework::dataset::make("InputShape", { TensorShape(13U, 13U, 96U, 240U) }), |
| framework::dataset::make("DataType", DataType::F16)), |
| framework::dataset::make("HasBias", { true, false })), |
| framework::dataset::make("NumGroups", { 3, 4 }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(BFloat16, ClWeightsReshapeFixture<half>, framework::DatasetMode::ALL, combine(combine(combine(framework::dataset::make("InputShape", { TensorShape(9U, 9U, 96U, 240U) }), |
| framework::dataset::make("DataType", DataType::BFLOAT16)), |
| framework::dataset::make("HasBias", { false })), |
| framework::dataset::make("NumGroups", { 3, 4 }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| |
| TEST_SUITE_END() |
| |
| TEST_SUITE(Quantized) |
| FIXTURE_DATA_TEST_CASE(QASYMM8, ClWeightsReshapeFixture<uint8_t>, framework::DatasetMode::ALL, combine(combine(combine(framework::dataset::make("InputShape", { TensorShape(5U, 5U, 48U, 120U) }), |
| framework::dataset::make("DataType", DataType::QASYMM8)), |
| framework::dataset::make("HasBias", { false })), |
| framework::dataset::make("NumGroups", { 1, 2 }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(QASYMM8_SIGNED, ClWeightsReshapeFixture<uint8_t>, framework::DatasetMode::ALL, combine(combine(combine(framework::dataset::make("InputShape", { TensorShape(5U, 5U, 48U, 120U) }), |
| framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), |
| framework::dataset::make("HasBias", { false })), |
| framework::dataset::make("NumGroups", { 1, 2 }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| TEST_SUITE_END() |
| |
| TEST_SUITE_END() |
| TEST_SUITE_END() |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |