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-rw-r--r--tests/validation/CL/LocallyConnected.cpp165
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diff --git a/tests/validation/CL/LocallyConnected.cpp b/tests/validation/CL/LocallyConnected.cpp
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--- a/tests/validation/CL/LocallyConnected.cpp
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-/*
- * Copyright (c) 2017-2019 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/CLLocallyConnectedLayer.h"
-#include "tests/CL/CLAccessor.h"
-#include "tests/PaddingCalculator.h"
-#include "tests/datasets/LocallyConnectedDataset.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/LocallyConnectedFixture.h"
-
-namespace arm_compute
-{
-namespace test
-{
-namespace validation
-{
-namespace
-{
-constexpr AbsoluteTolerance<float> atolerance_f32(0.00001f); /**< Absolute Tolerance value for comparing reference's output against implementation's output for DataType::F32 */
-RelativeTolerance<float> rtolerance_f32(0.05f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */
-} // namespace
-
-TEST_SUITE(CL)
-TEST_SUITE(LocallyConnected)
-
-// *INDENT-OFF*
-// clang-format off
-DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(
- framework::dataset::make("InputInfo", { TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching data type input/weights
- TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching data type input/bias
- TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching data type input/output
- TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching shape input/weights
- TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching shape input/bias
- TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching shape input/output
- TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Asymmetric padding
- TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Padding required
- TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32)
- }),
- framework::dataset::make("WeightsInfo",{ TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F16),
- TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32),
- TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32),
- TensorInfo(TensorShape(3U, 3U, 5U, 21U, 274U), 1, DataType::F32),
- TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32),
- TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32),
- TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32),
- TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32),
- TensorInfo(TensorShape(1U, 3U, 5U, 21U, 575U), 1, DataType::F32)
- })),
- framework::dataset::make("BiasInfo", { TensorInfo(TensorShape(21U, 275U), 1, DataType::F32),
- TensorInfo(TensorShape(21U, 275U), 1, DataType::F16),
- TensorInfo(TensorShape(21U, 275U), 1, DataType::F32),
- TensorInfo(TensorShape(21U, 275U), 1, DataType::F32),
- TensorInfo(TensorShape(21U, 274U), 1, DataType::F32),
- TensorInfo(TensorShape(21U, 275U), 1, DataType::F32),
- TensorInfo(TensorShape(21U, 275U), 1, DataType::F32),
- TensorInfo(TensorShape(21U, 275U), 1, DataType::F32),
- TensorInfo(TensorShape(21U, 575U), 1, DataType::F32)
- })),
- framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32),
- TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32),
- TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F16),
- TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32),
- TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32),
- TensorInfo(TensorShape(11U, 25U, 22U), 1, DataType::F32),
- TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32),
- TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32),
- TensorInfo(TensorShape(23U, 25U, 21U), 1, DataType::F32)
- })),
- framework::dataset::make("PadStride", { PadStrideInfo(2, 1, 0, 0),
- PadStrideInfo(2, 1, 0, 0),
- PadStrideInfo(2, 1, 0, 0),
- PadStrideInfo(2, 1, 0, 0),
- PadStrideInfo(2, 1, 0, 0),
- PadStrideInfo(2, 1, 0, 0),
- PadStrideInfo(2, 1, 1, 0),
- PadStrideInfo(2, 1, 0, 0),
- PadStrideInfo(1, 1, 0, 0)
- })),
- framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, true })),
- input_info, weights_info, bias_info, output_info, conv_info, expected)
-{
- bool is_valid = bool(CLLocallyConnectedLayer::validate(&input_info.clone()->set_is_resizable(false),
- &weights_info.clone()->set_is_resizable(false),
- &bias_info.clone()->set_is_resizable(false),
- &output_info.clone()->set_is_resizable(false),
- conv_info));
- ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);
-}
-// clang-format on
-// *INDENT-ON*
-
-DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallLocallyConnectedDataset(),
- framework::dataset::make("DataType", DataType::F32)),
- src_shape, weights_shape, bias_shape, dst_shape, info, dilation, data_type)
-{
- ARM_COMPUTE_UNUSED(dilation);
-
- // Create tensors
- CLTensor src = create_tensor<CLTensor>(src_shape, data_type);
- CLTensor weights = create_tensor<CLTensor>(weights_shape, data_type);
- CLTensor bias = create_tensor<CLTensor>(bias_shape, data_type);
- CLTensor dst = create_tensor<CLTensor>(dst_shape, data_type);
-
- ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(weights.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(bias.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
-
- // Create and configure function.
- CLLocallyConnectedLayer lc;
- lc.configure(&src, &weights, &bias, &dst, info);
-
- // Validate valid region
- const ValidRegion dst_valid_region = shape_to_valid_region(dst_shape);
- validate(dst.info()->valid_region(), dst_valid_region);
-}
-
-template <typename T>
-using CLLocallyConnectedFixture = LocallyConnectedValidationFixture<CLTensor, CLAccessor, CLLocallyConnectedLayer, T>;
-FIXTURE_DATA_TEST_CASE(RunSmall, CLLocallyConnectedFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallLocallyConnectedDataset(),
- framework::dataset::make("DataType",
- DataType::F32)))
-{
- // Validate output
- validate(CLAccessor(_target), _reference, rtolerance_f32, 0.f, atolerance_f32);
-}
-
-FIXTURE_DATA_TEST_CASE(RunLarge, CLLocallyConnectedFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeLocallyConnectedDataset(),
- framework::dataset::make("DataType",
- DataType::F32)))
-{
- // Validate output
- validate(CLAccessor(_target), _reference, rtolerance_f32, 0.f, atolerance_f32);
-}
-TEST_SUITE_END()
-TEST_SUITE_END()
-} // namespace validation
-} // namespace test
-} // namespace arm_compute
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-05 09:42:17 +0000