COMPMID-403:Add support for 7x7 pooling on CL.

Change-Id: I3c2c8d7e8e61d7737170cb1568900ce4ac337068
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/78181
Reviewed-by: Michele DiGiorgio <michele.digiorgio@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Moritz Pflanzer <moritz.pflanzer@arm.com>

1 files changed, 119 insertions, 0 deletions

diff --git a/tests/validation/CL/PoolingLayer.cpp b/tests/validation/CL/PoolingLayer.cpp
new file mode 100644
index 0000000000..1d0e745088
--- /dev/null
+++ b/tests/validation/CL/PoolingLayer.cpp
@@ -0,0 +1,119 @@
+/*
+ * 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 "CL/CLAccessor.h"
+#include "CL/Helper.h"
+#include "TypePrinter.h"
+#include "arm_compute/runtime/CL/functions/CLPoolingLayer.h"
+#include "tests/dataset/PoolingLayerDataset.h"
+#include "validation/Datasets.h"
+#include "validation/Reference.h"
+#include "validation/Validation.h"
+
+#include <random>
+
+using namespace arm_compute;
+using namespace arm_compute::test;
+using namespace arm_compute::test::cl;
+using namespace arm_compute::test::validation;
+
+namespace
+{
+const float tolerance_f = 1e-05; /**< Tolerance value for comparing reference's output against implementation's output for float input */
+
+/** Compute CL 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.
+ */
+CLTensor compute_pooling_layer(const TensorShape &shape_in, const TensorShape &shape_out, DataType dt, PoolingLayerInfo pool_info)
+{
+    // Create tensors
+    CLTensor src = create_tensor(shape_in, dt);
+    CLTensor dst = create_tensor(shape_out, dt);
+
+    // Create and configure function
+    CLPoolingLayer 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
+    std::uniform_real_distribution<> distribution(-1, 1);
+    library->fill(CLAccessor(src), distribution, 0);
+
+    // Compute function
+    pool.run();
+
+    return dst;
+}
+
+TensorShape get_output_shape(TensorShape in_shape, const PoolingLayerInfo &pool_info)
+{
+    TensorShape out_shape(in_shape);
+    const std::pair<unsigned int, unsigned int> scaled_dims = arm_compute::scaled_dimensions(in_shape.x(),
+                                                                                             in_shape.y(),
+                                                                                             pool_info.pool_size(),
+                                                                                             pool_info.pad_stride_info().stride().first, pool_info.pad_stride_info().stride().second,
+                                                                                             pool_info.pad_stride_info().pad().first, pool_info.pad_stride_info().pad().second,
+                                                                                             pool_info.pad_stride_info().round());
+    out_shape.set(0, scaled_dims.first);
+    out_shape.set(1, scaled_dims.second);
+    return out_shape;
+}
+} // namespace
+
+#ifndef DOXYGEN_SKIP_THIS
+BOOST_AUTO_TEST_SUITE(CL)
+BOOST_AUTO_TEST_SUITE(PoolingLayer)
+
+BOOST_AUTO_TEST_SUITE(Float)
+BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
+BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * CNNFloatDataTypes() * PoolingTypes() * boost::unit_test::data::make({ 2, 3, 7 }) * boost::unit_test::data::make({ 1, 2 }) * boost::unit_test::data::make({ 0, 1 }),
+                     src_shape, dt, pool_type, pool_size, pool_stride, pool_pad)
+{
+    PoolingLayerInfo pool_info(pool_type, pool_size, PadStrideInfo(pool_stride, pool_stride, pool_pad, pool_pad, DimensionRoundingType::CEIL));
+    TensorShape      dst_shape = get_output_shape(src_shape, pool_info);
+
+    // Compute function
+    CLTensor dst = compute_pooling_layer(src_shape, dst_shape, dt, pool_info);
+
+    // Compute reference
+    RawTensor ref_dst = Reference::compute_reference_pooling_layer(src_shape, dst_shape, dt, pool_info);
+
+    // Validate output
+    validate(CLAccessor(dst), ref_dst, tolerance_f);
+}
+BOOST_AUTO_TEST_SUITE_END()
+
+BOOST_AUTO_TEST_SUITE_END()
+BOOST_AUTO_TEST_SUITE_END()
+#endif