Implementation of ClPooling3d

 - For NDHWC layout
 - For F16 and F32 data types
 - Mixed Precision stil not supported

Resolves: COMPMID-4670
Signed-off-by: ramy.elgammal@arm.com
Change-Id: I0e14a13e4625569e8e5ee67e6033bd1efe0da469
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7262
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: SiCong Li <sicong.li@arm.com>
Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>

2 files changed, 149 insertions, 0 deletions

diff --git a/tests/datasets/Pooling3dLayerDataset.h b/tests/datasets/Pooling3dLayerDataset.h
new file mode 100644
index 0000000000..cfe970e8be
--- /dev/null
+++ b/tests/datasets/Pooling3dLayerDataset.h
@@ -0,0 +1,121 @@
+/*
+ * Copyright (c) 2022 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.
+ */
+#ifndef ARM_COMPUTE_TEST_POOLING_3D_LAYER_DATASET
+#define ARM_COMPUTE_TEST_POOLING_3D_LAYER_DATASET
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "utils/TypePrinter.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class Pooling3dLayerDataset
+{
+public:
+    using type = std::tuple<TensorShape, Pooling3dLayerInfo>;
+
+    struct iterator
+    {
+        iterator(std::vector<TensorShape>::const_iterator        src_it,
+                 std::vector<Pooling3dLayerInfo>::const_iterator infos_it)
+            : _src_it{ std::move(src_it) },
+              _infos_it{ std::move(infos_it) }
+        {
+        }
+
+        std::string description() const
+        {
+            std::stringstream description;
+            description << "In=" << *_src_it << ":";
+            description << "Info=" << *_infos_it << ":";
+            return description.str();
+        }
+
+        Pooling3dLayerDataset::type operator*() const
+        {
+            return std::make_tuple(*_src_it, *_infos_it);
+        }
+
+        iterator &operator++()
+        {
+            ++_src_it;
+            ++_infos_it;
+
+            return *this;
+        }
+
+    private:
+        std::vector<TensorShape>::const_iterator        _src_it;
+        std::vector<Pooling3dLayerInfo>::const_iterator _infos_it;
+    };
+
+    iterator begin() const
+    {
+        return iterator(_src_shapes.begin(), _infos.begin());
+    }
+
+    int size() const
+    {
+        return std::min(_src_shapes.size(), _infos.size());
+    }
+
+    void add_config(TensorShape src, Pooling3dLayerInfo info)
+    {
+        _src_shapes.emplace_back(std::move(src));
+        _infos.emplace_back(std::move(info));
+    }
+
+protected:
+    Pooling3dLayerDataset()                         = default;
+    Pooling3dLayerDataset(Pooling3dLayerDataset &&) = default;
+
+private:
+    std::vector<TensorShape>        _src_shapes{};
+    std::vector<Pooling3dLayerInfo> _infos{};
+};
+
+// Special pooling dataset
+class Pooling3dLayerDatasetSpecial final : public Pooling3dLayerDataset
+{
+public:
+    Pooling3dLayerDatasetSpecial()
+    {
+        // Special cases
+        add_config(TensorShape(2U, 3U, 4U, 2U, 4U), Pooling3dLayerInfo(PoolingType::AVG, /*pool size*/ Size3D(2, 2, 1), /*pool strides*/ Size3D(3, 3, 1), /*pool padding*/ Padding3D(0, 0, 0), true));
+        add_config(TensorShape(20U, 22U, 10U, 2U), Pooling3dLayerInfo(PoolingType::AVG, Size3D(100, 100, 100), Size3D(5, 5, 5), Padding3D(50, 50, 50), true));
+        add_config(TensorShape(10U, 20U, 32U, 3U, 2U), Pooling3dLayerInfo(PoolingType::MAX, /*pool size*/ 3, /*pool strides*/ Size3D(2, 2, 2), Padding3D(1, 1, 1, 1, 1, 1), false, false,
+                                                                    DimensionRoundingType::FLOOR));
+        add_config(TensorShape(14U, 10U, 10U, 3U, 5U), Pooling3dLayerInfo(PoolingType::AVG,  Size3D(3, 3, 3), /*pool strides*/ Size3D(3, 3, 3), Padding3D(2, 1, 2), true, false, DimensionRoundingType::CEIL));
+        add_config(TensorShape(14U, 10U, 10U, 2U, 4U), Pooling3dLayerInfo(PoolingType::AVG,  Size3D(3, 3, 3), /*pool strides*/ Size3D(3, 3, 3), Padding3D(2, 1, 2), false, false, DimensionRoundingType::CEIL));
+        add_config(TensorShape(15U, 13U, 13U, 3U, 5U), Pooling3dLayerInfo(PoolingType::AVG,  Size3D(4, 4, 4), /*pool strides*/ Size3D(2, 2, 2), Padding3D(2, 2, 2), true, false, DimensionRoundingType::CEIL));
+    }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_POOLING_3D_LAYER_DATASET */
diff --git a/tests/datasets/ShapeDatasets.h b/tests/datasets/ShapeDatasets.h
index e21589946b..31c9b9e051 100644
--- a/tests/datasets/ShapeDatasets.h
+++ b/tests/datasets/ShapeDatasets.h
@@ -540,6 +540,21 @@ public:
     }
 };
 
+/** Data set containing small 5D tensor shapes. */
+class Small5dShapes final : public ShapeDataset
+{
+public:
+    Small5dShapes()
+        : ShapeDataset("Shape",
+    {
+        TensorShape{ 5U, 5U, 7U, 4U, 3U },
+                     TensorShape{ 5U, 5U, 4U, 13U, 2U },
+                     TensorShape{ 5U, 5U, 3U, 5U , 2U},
+    })
+    {
+    }
+};
+
 /** Data set containing large 5x5 tensor shapes. */
 class Large5x5Shapes final : public ShapeDataset
 {
@@ -553,6 +568,19 @@ public:
     }
 };
 
+/** Data set containing large 5D tensor shapes. */
+class Large5dShapes final : public ShapeDataset
+{
+public:
+    Large5dShapes()
+        : ShapeDataset("Shape",
+    {
+        TensorShape{ 30U, 40U, 30U, 32U, 3U }
+    })
+    {
+    }
+};
+
 /** Data set containing small 5x1 tensor shapes. */
 class Small5x1Shapes final : public ShapeDataset
 {