1 files changed, 218 insertions, 0 deletions
diff --git a/tests/validation/NEON/BitwiseAnd.cpp b/tests/validation/NEON/BitwiseAnd.cpp
new file mode 100644
index 0000000000..8c0eda992f
--- /dev/null
+++ b/tests/validation/NEON/BitwiseAnd.cpp
@@ -0,0 +1,218 @@
+/*
+ * 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/NEBitwiseAnd.h"
+#include "arm_compute/runtime/SubTensor.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 bitwise and function.
+ *
+ * @param[in] shape Shape of the input and output tensors.
+ *
+ * @return Computed output tensor.
+ */
+Tensor compute_bitwise_and(const TensorShape &shape)
+{
+    // Create tensors
+    Tensor src1 = create_tensor(shape, DataType::U8);
+    Tensor src2 = create_tensor(shape, DataType::U8);
+    Tensor dst  = create_tensor(shape, DataType::U8);
+
+    // Create and configure function
+    NEBitwiseAnd band;
+    band.configure(&src1, &src2, &dst);
+
+    // 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
+    band.run();
+
+    return dst;
+}
+
+/** Compute Neon bitwise and function that splits the input and output in two subtensor.
+ *
+ * @param[in] shape Shape of the input and output tensors.
+ *
+ * @return Computed output tensor.
+ */
+Tensor compute_bitwise_and_subtensor(const TensorShape &shape)
+{
+    // Create tensors
+    Tensor src1 = create_tensor(shape, DataType::U8);
+    Tensor src2 = create_tensor(shape, DataType::U8);
+    Tensor dst  = create_tensor(shape, DataType::U8);
+
+    // Create SubTensors
+    int         coord_z   = shape.z() / 2;
+    TensorShape sub_shape = shape;
+    sub_shape.set(2, coord_z);
+
+    SubTensor src1_sub1(&src1, sub_shape, Coordinates());
+    SubTensor src1_sub2(&src1, sub_shape, Coordinates(0, 0, coord_z));
+    SubTensor src2_sub1(&src2, sub_shape, Coordinates());
+    SubTensor src2_sub2(&src2, sub_shape, Coordinates(0, 0, coord_z));
+    SubTensor dst_sub1(&dst, sub_shape, Coordinates());
+    SubTensor dst_sub2(&dst, sub_shape, Coordinates(0, 0, coord_z));
+
+    // Create and configure function
+    NEBitwiseAnd band1, band2;
+    band1.configure(&src1_sub1, &src2_sub1, &dst_sub1);
+    band2.configure(&src1_sub2, &src2_sub2, &dst_sub2);
+
+    // 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
+    std::uniform_int_distribution<> distribution(0, 255);
+    library->fill(NEAccessor(src1), distribution, 0);
+    library->fill(NEAccessor(src2), distribution, 1);
+
+    // Compute function
+    band1.run();
+    band2.run();
+
+    return dst;
+}
+} // namespace
+
+#ifndef DOXYGEN_SKIP_THIS
+BOOST_AUTO_TEST_SUITE(NEON)
+BOOST_AUTO_TEST_SUITE(BitwiseAnd)
+
+BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly"))
+BOOST_DATA_TEST_CASE(Configuration, SmallShapes() + LargeShapes(), shape)
+{
+    // Create tensors
+    Tensor src1 = create_tensor(shape, DataType::U8);
+    Tensor src2 = create_tensor(shape, DataType::U8);
+    Tensor dst  = create_tensor(shape, DataType::U8);
+
+    BOOST_TEST(src1.info()->is_resizable());
+    BOOST_TEST(src2.info()->is_resizable());
+    BOOST_TEST(dst.info()->is_resizable());
+
+    // Create and configure function
+    NEBitwiseAnd band;
+    band.configure(&src1, &src2, &dst);
+
+    // 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);
+}
+
+BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
+BOOST_DATA_TEST_CASE(RunSmall, SmallShapes(), shape)
+{
+    // Compute function
+    Tensor dst = compute_bitwise_and(shape);
+
+    // Compute reference
+    RawTensor ref_dst = Reference::compute_reference_bitwise_and(shape);
+
+    // Validate output
+    validate(NEAccessor(dst), ref_dst);
+}
+
+BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
+BOOST_AUTO_TEST_CASE(RunSubTensor)
+{
+    // Create shape
+    TensorShape shape(27U, 35U, 8U, 2U);
+
+    // Compute function
+    Tensor dst = compute_bitwise_and_subtensor(shape);
+
+    // Compute reference
+    RawTensor ref_dst = Reference::compute_reference_bitwise_and(shape);
+
+    // Validate output
+    validate(NEAccessor(dst), ref_dst);
+}
+
+BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly"))
+BOOST_DATA_TEST_CASE(RunLarge, LargeShapes(), shape)
+{
+    // Compute function
+    Tensor dst = compute_bitwise_and(shape);
+
+    // Compute reference
+    RawTensor ref_dst = Reference::compute_reference_bitwise_and(shape);
+
+    // Validate output
+    validate(NEAccessor(dst), ref_dst);
+}
+
+BOOST_AUTO_TEST_SUITE_END()
+BOOST_AUTO_TEST_SUITE_END()
+#endif