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authorMichalis Spyrou <michalis.spyrou@arm.com>2018-05-09 09:59:23 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:52:35 +0000
commit55b3d1216b4011d86d5f06335e518dc924987ae5 (patch)
treea94ca420f4385ff301a770fbeb5b4f930ac60105 /tests/validation/CL/WidthConcatenateLayer.cpp
parenta8aef2916379402e241d9f2c5e0faf3f99c860f7 (diff)
downloadComputeLibrary-55b3d1216b4011d86d5f06335e518dc924987ae5.tar.gz
COMPMID-1137 OpenCL concatenate width
Change-Id: I40faba421281b1cf080fa6a825d04a4366cdaeb0 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/130700 Reviewed-by: Anthony Barbier <anthony.barbier@arm.com> Tested-by: Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
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diff --git a/tests/validation/CL/WidthConcatenateLayer.cpp b/tests/validation/CL/WidthConcatenateLayer.cpp
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+/*
+ * Copyright (c) 2018 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/CLWidthConcatenateLayer.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/WidthConcatenateLayerFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+TEST_SUITE(CL)
+TEST_SUITE(WidthConcatenateLayer)
+// *INDENT-OFF*
+// clang-format off
+DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
+ framework::dataset::make("InputInfo1", { TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), // Mismatching data type input/output
+ TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), // Mismatching y dimension
+ TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), // Mismatching total width
+ TensorInfo(TensorShape(16U, 27U, 5U), 1, DataType::F32, 0)
+ }),
+ framework::dataset::make("InputInfo2", { TensorInfo(TensorShape(24U, 27U, 4U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(52U, 27U, 5U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(52U, 27U, 5U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(16U, 27U, 5U), 1, DataType::F32, 0)
+ })),
+ framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(47U, 27U, 5U), 1, DataType::F16, 0),
+ TensorInfo(TensorShape(75U, 12U, 5U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(11U, 27U, 5U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(32U, 27U, 5U), 1, DataType::F32, 0)
+ })),
+ framework::dataset::make("Expected", { 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<ITensorInfo *> inputs_vector_info_raw;
+ for(auto &input : inputs_vector_info)
+ {
+ inputs_vector_info_raw.emplace_back(&input);
+ }
+
+ bool is_valid = bool(CLWidthConcatenateLayer::validate(inputs_vector_info_raw,
+ &output_info.clone()->set_is_resizable(false)));
+ ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);
+}
+// clang-format on
+// *INDENT-ON*
+
+TEST_CASE(Configuration, framework::DatasetMode::ALL)
+{
+ // Create tensors
+ CLTensor src1 = create_tensor<CLTensor>(TensorShape(128U, 32U, 32U), DataType::F32, 1);
+ CLTensor src2 = create_tensor<CLTensor>(TensorShape(32U, 32U, 32U), DataType::F32, 1);
+ CLTensor src3 = create_tensor<CLTensor>(TensorShape(15U, 32U, 32U), DataType::F32, 1);
+ CLTensor dst;
+
+ ARM_COMPUTE_EXPECT(src1.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_EXPECT(src2.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_EXPECT(src3.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+ // Create and configure function
+ CLWidthConcatenateLayer concat_layer;
+
+ concat_layer.configure({ &src1, &src2, &src3 }, &dst);
+}
+
+template <typename T>
+using CLWidthConcatenateLayerFixture = WidthConcatenateLayerValidationFixture<CLTensor, ICLTensor, CLAccessor, CLWidthConcatenateLayer, T>;
+
+TEST_SUITE(Float)
+TEST_SUITE(FP16)
+FIXTURE_DATA_TEST_CASE(RunSmall, CLWidthConcatenateLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType",
+ DataType::F16)))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, CLWidthConcatenateLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("DataType",
+ DataType::F16)))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference);
+}
+TEST_SUITE_END()
+
+TEST_SUITE(FP32)
+FIXTURE_DATA_TEST_CASE(RunSmall, CLWidthConcatenateLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType",
+ DataType::F32)))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, CLWidthConcatenateLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::WidthConcatenateLayerShapes(), framework::dataset::make("DataType",
+ DataType::F32)))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference);
+}
+TEST_SUITE_END()
+TEST_SUITE_END()
+
+TEST_SUITE(Quantized)
+TEST_SUITE(QS8)
+FIXTURE_DATA_TEST_CASE(RunTiny, CLWidthConcatenateLayerFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Tiny2DShapes(),
+ framework::dataset::make("DataType",
+ DataType::QS8)))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference);
+}
+FIXTURE_DATA_TEST_CASE(RunSmall, CLWidthConcatenateLayerFixture<int8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::WidthConcatenateLayerShapes(),
+ framework::dataset::make("DataType",
+ DataType::QS8)))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference);
+}
+TEST_SUITE_END()
+
+TEST_SUITE(QS16)
+FIXTURE_DATA_TEST_CASE(RunTiny, CLWidthConcatenateLayerFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Tiny2DShapes(),
+ framework::dataset::make("DataType",
+ DataType::QS16)))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference);
+}
+FIXTURE_DATA_TEST_CASE(RunSmall, CLWidthConcatenateLayerFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(datasets::WidthConcatenateLayerShapes(),
+ framework::dataset::make("DataType",
+ DataType::QS16)))
+{
+ // 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