1 files changed, 139 insertions, 0 deletions
diff --git a/tests/validation/NEON/Pooling/PoolingLayer.cpp b/tests/validation/NEON/Pooling/PoolingLayer.cpp
new file mode 100644
index 0000000000..b15ad1c5e6
--- /dev/null
+++ b/tests/validation/NEON/Pooling/PoolingLayer.cpp
@@ -0,0 +1,139 @@
+/*
+ * 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 "NEON/Helper.h"
+#include "NEON/NEAccessor.h"
+#include "TypePrinter.h"
+#include "arm_compute/runtime/NEON/functions/NEPoolingLayer.h"
+#include "tests/dataset/PoolingLayerDataset.h"
+#include "validation/Datasets.h"
+#include "validation/Reference.h"
+#include "validation/Validation.h"
+
+#include <iostream>
+#include <random>
+
+using namespace arm_compute;
+using namespace arm_compute::test;
+using namespace arm_compute::test::neon;
+using namespace arm_compute::test::validation;
+
+namespace
+{
+const float tolerance_q = 0;     /**< Tolerance value for comparing reference's output against implementation's output for quantized input */
+const float tolerance_f = 1e-05; /**< Tolerance value for comparing reference's output against implementation's output for float input */
+
+/** Compute Neon pooling layer function.
+ *
+ * @param[in] shape     Shape of the input and output tensors.
+ * @param[in] dt        Data type of input and output tensors.
+ * @param[in] pool_info Pooling Layer information.
+ *
+ * @return Computed output tensor.
+ */
+Tensor compute_pooling_layer(const TensorShape &shape_in, const TensorShape &shape_out, DataType dt, PoolingLayerInfo pool_info, int fixed_point_position = 0)
+{
+    // Create tensors
+    Tensor src = create_tensor(shape_in, dt, 1, fixed_point_position);
+    Tensor dst = create_tensor(shape_out, dt, 1, fixed_point_position);
+
+    // Create and configure function
+    NEPoolingLayer pool;
+    pool.configure(&src, &dst, pool_info);
+
+    // Allocate tensors
+    src.allocator()->allocate();
+    dst.allocator()->allocate();
+
+    BOOST_TEST(!src.info()->is_resizable());
+    BOOST_TEST(!dst.info()->is_resizable());
+
+    // Fill tensors
+    int min = 0;
+    int max = 0;
+    switch(dt)
+    {
+        case DataType::F32:
+            min = -1;
+            max = 1;
+            break;
+        case DataType::QS8:
+            min = -(1 << fixed_point_position);
+            max = (1 << fixed_point_position);
+            break;
+        default:
+            ARM_COMPUTE_ERROR("DataType not supported.");
+    }
+    std::uniform_real_distribution<> distribution(min, max);
+    library->fill(NEAccessor(src), distribution, 0);
+
+    // Compute function
+    pool.run();
+
+    return dst;
+}
+} // namespace
+
+#ifndef DOXYGEN_SKIP_THIS
+BOOST_AUTO_TEST_SUITE(NEON)
+BOOST_AUTO_TEST_SUITE(Pooling)
+BOOST_AUTO_TEST_SUITE(PoolingLayer)
+
+BOOST_AUTO_TEST_SUITE(Float)
+BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
+BOOST_DATA_TEST_CASE(RandomDataset,
+                     RandomPoolingLayerDataset() * boost::unit_test::data::make(DataType::F32),
+                     obj, dt)
+{
+    // Compute function
+    Tensor dst = compute_pooling_layer(obj.src_shape, obj.dst_shape, dt, obj.info);
+
+    // Compute reference
+    RawTensor ref_dst = Reference::compute_reference_pooling_layer(obj.src_shape, obj.dst_shape, dt, obj.info);
+
+    // Validate output
+    validate(NEAccessor(dst), ref_dst, tolerance_f, 0);
+}
+BOOST_AUTO_TEST_SUITE_END()
+
+BOOST_AUTO_TEST_SUITE(Quantized)
+BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
+BOOST_DATA_TEST_CASE(RandomDataset,
+                     RandomPoolingLayerDataset() * boost::unit_test::data::make(DataType::QS8) * boost::unit_test::data::xrange(1, 5),
+                     obj, dt, fixed_point_position)
+{
+    // Compute function
+    Tensor dst = compute_pooling_layer(obj.src_shape, obj.dst_shape, dt, obj.info, fixed_point_position);
+
+    // Compute reference
+    RawTensor ref_dst = Reference::compute_reference_pooling_layer(obj.src_shape, obj.dst_shape, dt, obj.info, fixed_point_position);
+
+    // Validate output
+    validate(NEAccessor(dst), ref_dst, tolerance_q, 0);
+}
+BOOST_AUTO_TEST_SUITE_END()
+
+BOOST_AUTO_TEST_SUITE_END()
+BOOST_AUTO_TEST_SUITE_END()
+BOOST_AUTO_TEST_SUITE_END()
+#endif