| /* |
| * Copyright (c) 2019-2020 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 "arm_compute/runtime/CL/CLTensor.h" |
| #include "arm_compute/runtime/CL/CLTensorAllocator.h" |
| #include "arm_compute/runtime/CL/functions/CLConcatenateLayer.h" |
| #include "tests/CL/CLAccessor.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/ConcatenateLayerFixture.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace |
| { |
| /** Zero padding test */ |
| bool validate_zero_padding(unsigned int width, unsigned int height, unsigned int channels, unsigned int batches, DataType data_type) |
| { |
| TensorShape src_shape(width, height, channels, batches); |
| TensorShape dst_shape(width, height, channels, batches * 2); |
| |
| // Create tensors |
| CLTensor src0 = create_tensor<CLTensor>(src_shape, data_type); |
| CLTensor src1 = create_tensor<CLTensor>(src_shape, data_type); |
| CLTensor dst = create_tensor<CLTensor>(dst_shape, data_type); |
| |
| src0.info()->set_quantization_info(QuantizationInfo(1.f / 256.f, 0)); |
| src1.info()->set_quantization_info(QuantizationInfo(1.f / 256.f, 0)); |
| dst.info()->set_quantization_info(QuantizationInfo(1.f / 256.f, 0)); |
| |
| ARM_COMPUTE_EXPECT(src0.info()->is_resizable(), framework::LogLevel::ERRORS); |
| ARM_COMPUTE_EXPECT(src1.info()->is_resizable(), framework::LogLevel::ERRORS); |
| ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| |
| std::vector<const ICLTensor *> srcs = { &src0, &src1 }; |
| |
| // Create and configure function |
| CLConcatenateLayer concat; |
| concat.configure(srcs, &dst, 3U); |
| |
| // Padding can be added along rhs and bias's X dimension |
| return src0.info()->padding().empty() && src1.info()->padding().empty() && dst.info()->padding().empty(); |
| } |
| } |
| TEST_SUITE(CL) |
| TEST_SUITE(BatchConcatenateLayer) |
| |
| // *INDENT-OFF* |
| // clang-format off |
| DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( |
| framework::dataset::make("InputInfo1", { TensorInfo(TensorShape(23U, 27U, 5U, 4U), 1, DataType::F32), // Mismatching data type input/output |
| TensorInfo(TensorShape(20U, 27U, 4U, 4U), 1, DataType::F32), // Mismatching x dimension |
| TensorInfo(TensorShape(23U, 26U, 4U, 3U), 1, DataType::F32), // Mismatching y dim |
| TensorInfo(TensorShape(23U, 27U, 4U, 3U), 1, DataType::F32), // Mismatching z dim |
| TensorInfo(TensorShape(16U, 27U, 3U, 6U), 1, DataType::F32) |
| }), |
| framework::dataset::make("InputInfo2", { TensorInfo(TensorShape(23U, 27U, 5U, 4U), 1, DataType::F32), |
| TensorInfo(TensorShape(23U, 27U, 4U, 4U), 1, DataType::F32), |
| TensorInfo(TensorShape(23U, 27U, 4U, 4U), 1, DataType::F32), |
| TensorInfo(TensorShape(23U, 27U, 3U, 3U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U, 27U, 3U, 6U), 1, DataType::F32) |
| })), |
| framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(23U, 27U, 5U, 4U), 1, DataType::F16), |
| TensorInfo(TensorShape(23U, 12U, 4U, 4U), 1, DataType::F32), |
| TensorInfo(TensorShape(23U, 27U, 4U, 4U), 1, DataType::F32), |
| TensorInfo(TensorShape(23U, 20U, 4U, 3U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U, 27U, 3U, 12U), 1, DataType::F32) |
| })), |
| framework::dataset::make("Expected", { false, false, false, false, true })), |
| input_info1, input_info2, output_info,expected) |
| { |
| std::vector<TensorInfo> inputs_vector_info; |
| inputs_vector_info.emplace_back(std::move(input_info1)); |
| inputs_vector_info.emplace_back(std::move(input_info2)); |
| |
| std::vector<const ITensorInfo *> inputs_vector_info_raw; |
| inputs_vector_info_raw.reserve(inputs_vector_info.size()); |
| for(auto &input : inputs_vector_info) |
| { |
| inputs_vector_info_raw.emplace_back(&input); |
| } |
| |
| bool is_valid = bool(CLConcatenateLayer::validate(inputs_vector_info_raw, &output_info.clone()->set_is_resizable(false), 3)); |
| ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS); |
| } |
| |
| /** Validate zero padding tests |
| * |
| * A series of validation tests to check that no padding is added as part of configuration for 4 different scenarios. |
| * |
| * Checks performed in order: |
| * - First dimension multiple of 16 |
| * - First dimension non-multiple of 16 |
| * - First dimension less than 16 (vec_size for qasymm8) but multiple |
| * - First dimension less than 16 (vec_size for qasymm8) non-multiple |
| * - Tensor with only one element |
| */ |
| DATA_TEST_CASE(ValidateZeroPadding, framework::DatasetMode::ALL, zip( |
| framework::dataset::make("Width", { 32U, 37U, 12U, 13U, 1U }), |
| framework::dataset::make("DataType", { DataType::F32, DataType::QASYMM8 })), |
| width, data_type) |
| { |
| const bool one_elem = (width == 1U); |
| bool status = validate_zero_padding(width, one_elem ? 1U : 17U, one_elem ? 1U : 7U, one_elem ? 1U : 2U, data_type); |
| ARM_COMPUTE_EXPECT(status, framework::LogLevel::ERRORS); |
| } |
| // clang-format on |
| // *INDENT-ON* |
| |
| template <typename T> |
| using CLBatchConcatenateLayerFixture = ConcatenateLayerValidationFixture<CLTensor, ICLTensor, CLAccessor, CLConcatenateLayer, T>; |
| |
| TEST_SUITE(Float) |
| TEST_SUITE(FP16) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLBatchConcatenateLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(concat(datasets::Small3DShapes(), datasets::Tiny4DShapes()), |
| framework::dataset::make("DataType", |
| DataType::F16)), |
| framework::dataset::make("Axis", 3))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLBatchConcatenateLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(concat(datasets::Large3DShapes(), datasets::Small4DShapes()), |
| framework::dataset::make("DataType", |
| DataType::F16)), |
| framework::dataset::make("Axis", 3))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| TEST_SUITE_END() |
| |
| TEST_SUITE(FP32) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLBatchConcatenateLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(concat(datasets::Small3DShapes(), datasets::Tiny4DShapes()), |
| framework::dataset::make("DataType", |
| DataType::F32)), |
| framework::dataset::make("Axis", 3))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLBatchConcatenateLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::ConcatenateLayerShapes(), framework::dataset::make("DataType", |
| DataType::F32)), |
| framework::dataset::make("Axis", 3))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| TEST_SUITE_END() |
| TEST_SUITE_END() |
| |
| TEST_SUITE(Quantized) |
| TEST_SUITE(QASYMM8) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLBatchConcatenateLayerFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(concat(datasets::Small3DShapes(), datasets::Tiny4DShapes()), |
| framework::dataset::make("DataType", |
| DataType::QASYMM8)), |
| framework::dataset::make("Axis", 3))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLBatchConcatenateLayerFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::ConcatenateLayerShapes(), framework::dataset::make("DataType", |
| DataType::QASYMM8)), |
| framework::dataset::make("Axis", 3))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| TEST_SUITE_END() |
| TEST_SUITE_END() |
| |
| TEST_SUITE_END() |
| TEST_SUITE_END() |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |