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+/*
+ * Copyright (c) 2017 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 "Globals.h"
+#include "NEON/Helper.h"
+#include "NEON/NEAccessor.h"
+#include "TensorLibrary.h"
+#include "TypePrinter.h"
+#include "Utils.h"
+#include "validation/Datasets.h"
+#include "validation/Reference.h"
+#include "validation/Validation.h"
+
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/NEON/functions/NEArithmeticSubtraction.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "arm_compute/runtime/TensorAllocator.h"
+
+#include "boost_wrapper.h"
+
+#include <random>
+#include <string>
+
+using namespace arm_compute;
+using namespace arm_compute::test;
+using namespace arm_compute::test::neon;
+using namespace arm_compute::test::validation;
+
+namespace
+{
+/** Compute Neon arithmetic subtraction function.
+ *
+ * @param[in] shape Shape of the input and output tensors.
+ * @param[in] dt_in0 Data type of first input tensor.
+ * @param[in] dt_in1 Data type of second input tensor.
+ * @param[in] dt_out Data type of the output tensor.
+ * @param[in] policy Overflow policy of the operation.
+ *
+ * @return Computed output tensor.
+ */
+Tensor compute_arithmetic_subtraction(const TensorShape &shape, DataType dt_in0, DataType dt_in1, DataType dt_out, ConvertPolicy policy)
+{
+ // Create tensors
+ Tensor src1 = create_tensor(shape, dt_in0);
+ Tensor src2 = create_tensor(shape, dt_in1);
+ Tensor dst = create_tensor(shape, dt_out);
+
+ // Create and configure function
+ NEArithmeticSubtraction sub;
+ sub.configure(&src1, &src2, &dst, policy);
+
+ // Allocate tensors
+ src1.allocator()->allocate();
+ src2.allocator()->allocate();
+ dst.allocator()->allocate();
+
+ BOOST_TEST(!src1.info()->is_resizable());
+ BOOST_TEST(!src2.info()->is_resizable());
+ BOOST_TEST(!dst.info()->is_resizable());
+
+ // Fill tensors
+ library->fill_tensor_uniform(NEAccessor(src1), 0);
+ library->fill_tensor_uniform(NEAccessor(src2), 1);
+
+ // Compute function
+ sub.run();
+
+ return dst;
+}
+
+void validate_configuration(const Tensor &src1, const Tensor &src2, Tensor &dst, TensorShape shape, ConvertPolicy policy)
+{
+ BOOST_TEST(src1.info()->is_resizable());
+ BOOST_TEST(src2.info()->is_resizable());
+ BOOST_TEST(dst.info()->is_resizable());
+
+ // Create and configure function
+ NEArithmeticSubtraction sub;
+ sub.configure(&src1, &src2, &dst, policy);
+
+ // Validate valid region
+ const ValidRegion valid_region = shape_to_valid_region(shape);
+ validate(src1.info()->valid_region(), valid_region);
+ validate(src2.info()->valid_region(), valid_region);
+ validate(dst.info()->valid_region(), valid_region);
+
+ // Validate padding
+ const PaddingSize padding(0, required_padding(shape.x(), 16), 0, 0);
+ validate(src1.info()->padding(), padding);
+ validate(src2.info()->padding(), padding);
+ validate(dst.info()->padding(), padding);
+}
+} // namespace
+
+#ifndef DOXYGEN_SKIP_THIS
+BOOST_AUTO_TEST_SUITE(NEON)
+BOOST_AUTO_TEST_SUITE(ArithmeticSubtraction)
+
+BOOST_AUTO_TEST_SUITE(U8)
+BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly"))
+BOOST_DATA_TEST_CASE(Configuration, (SmallShapes() + LargeShapes()) * boost::unit_test::data::make({ ConvertPolicy::SATURATE, ConvertPolicy::WRAP }),
+ shape, policy)
+{
+ // Create tensors
+ Tensor src1 = create_tensor(shape, DataType::U8);
+ Tensor src2 = create_tensor(shape, DataType::U8);
+ Tensor dst = create_tensor(shape, DataType::U8);
+
+ validate_configuration(src1, src2, dst, shape, policy);
+}
+BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
+BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * boost::unit_test::data::make({ ConvertPolicy::SATURATE, ConvertPolicy::WRAP }),
+ shape, policy)
+{
+ // Compute function
+ Tensor dst = compute_arithmetic_subtraction(shape, DataType::U8, DataType::U8, DataType::U8, policy);
+
+ // Compute reference
+ RawTensor ref_dst = Reference::compute_reference_arithmetic_subtraction(shape, DataType::U8, DataType::U8, DataType::U8, policy);
+
+ // Validate output
+ validate(NEAccessor(dst), ref_dst);
+}
+BOOST_AUTO_TEST_SUITE_END()
+
+BOOST_AUTO_TEST_SUITE(S16)
+BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly"))
+BOOST_DATA_TEST_CASE(Configuration, (SmallShapes() + LargeShapes()) * boost::unit_test::data::make({ DataType::U8, DataType::S16 }) * boost::unit_test::data::make({ ConvertPolicy::SATURATE, ConvertPolicy::WRAP }),
+ shape, dt, policy)
+{
+ // Create tensors
+ Tensor src1 = create_tensor(shape, dt);
+ Tensor src2 = create_tensor(shape, DataType::S16);
+ Tensor dst = create_tensor(shape, DataType::S16);
+
+ validate_configuration(src1, src2, dst, shape, policy);
+}
+BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
+BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * boost::unit_test::data::make({ DataType::U8, DataType::S16 }) * boost::unit_test::data::make({ ConvertPolicy::SATURATE, ConvertPolicy::WRAP }),
+ shape, dt, policy)
+{
+ // Compute function
+ Tensor dst = compute_arithmetic_subtraction(shape, dt, DataType::S16, DataType::S16, policy);
+
+ // Compute reference
+ RawTensor ref_dst = Reference::compute_reference_arithmetic_subtraction(shape, dt, DataType::S16, DataType::S16, policy);
+
+ // Validate output
+ validate(NEAccessor(dst), ref_dst);
+}
+BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly"))
+BOOST_DATA_TEST_CASE(RunLarge, LargeShapes() * boost::unit_test::data::make({ DataType::U8, DataType::S16 }) * boost::unit_test::data::make({ ConvertPolicy::SATURATE, ConvertPolicy::WRAP }),
+ shape, dt, policy)
+{
+ // Compute function
+ Tensor dst = compute_arithmetic_subtraction(shape, dt, DataType::S16, DataType::S16, policy);
+
+ // Compute reference
+ RawTensor ref_dst = Reference::compute_reference_arithmetic_subtraction(shape, dt, DataType::S16, DataType::S16, policy);
+
+ // Validate output
+ validate(NEAccessor(dst), ref_dst);
+}
+BOOST_AUTO_TEST_SUITE_END()
+
+BOOST_AUTO_TEST_SUITE(F32)
+BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly"))
+BOOST_DATA_TEST_CASE(Configuration, (SmallShapes() + LargeShapes()) * boost::unit_test::data::make({ ConvertPolicy::SATURATE, ConvertPolicy::WRAP }),
+ shape, policy)
+{
+ // Create tensors
+ Tensor src1 = create_tensor(shape, DataType::F32);
+ Tensor src2 = create_tensor(shape, DataType::F32);
+ Tensor dst = create_tensor(shape, DataType::F32);
+
+ validate_configuration(src1, src2, dst, shape, policy);
+}
+BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
+BOOST_DATA_TEST_CASE(RunSmall, SmallShapes(), shape)
+{
+ // Compute function
+ Tensor dst = compute_arithmetic_subtraction(shape, DataType::F32, DataType::F32, DataType::F32, ConvertPolicy::WRAP);
+
+ // Compute reference
+ RawTensor ref_dst = Reference::compute_reference_arithmetic_subtraction(shape, DataType::F32, DataType::F32, DataType::F32, ConvertPolicy::WRAP);
+
+ // Validate output
+ validate(NEAccessor(dst), ref_dst);
+}
+BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly"))
+BOOST_DATA_TEST_CASE(RunLarge, LargeShapes() * boost::unit_test::data::make({ ConvertPolicy::SATURATE, ConvertPolicy::WRAP }),
+ shape, policy)
+{
+ // Compute function
+ Tensor dst = compute_arithmetic_subtraction(shape, DataType::F32, DataType::F32, DataType::F32, policy);
+
+ // Compute reference
+ RawTensor ref_dst = Reference::compute_reference_arithmetic_subtraction(shape, DataType::F32, DataType::F32, DataType::F32, policy);
+
+ // Validate output
+ validate(NEAccessor(dst), ref_dst);
+}
+BOOST_AUTO_TEST_SUITE_END()
+
+BOOST_AUTO_TEST_SUITE_END()
+BOOST_AUTO_TEST_SUITE_END()
+#endif