COMPMID-1017: Implement dilated convolution in NEON, OpenCL, and GC

Change-Id: If4626ec9e215e14dffe22e80812da5bac84a52e2
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/125734
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>

2 files changed, 97 insertions, 9 deletions

diff --git a/tests/datasets/ConvolutionLayerDataset.h b/tests/datasets/ConvolutionLayerDataset.h
index 6e2d2a142e..2981994555 100644
--- a/tests/datasets/ConvolutionLayerDataset.h
+++ b/tests/datasets/ConvolutionLayerDataset.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017 ARM Limited.
+ * Copyright (c) 2017-2018 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -38,7 +38,7 @@ namespace datasets
 class ConvolutionLayerDataset
 {
 public:
-    using type = std::tuple<TensorShape, TensorShape, TensorShape, TensorShape, PadStrideInfo>;
+    using type = std::tuple<TensorShape, TensorShape, TensorShape, TensorShape, PadStrideInfo, Size2D>;
 
     struct iterator
     {
@@ -46,12 +46,14 @@ public:
                  std::vector<TensorShape>::const_iterator   weights_it,
                  std::vector<TensorShape>::const_iterator   biases_it,
                  std::vector<TensorShape>::const_iterator   dst_it,
-                 std::vector<PadStrideInfo>::const_iterator infos_it)
+                 std::vector<PadStrideInfo>::const_iterator infos_it,
+                 std::vector<Size2D>::const_iterator        dilation_it)
             : _src_it{ std::move(src_it) },
               _weights_it{ std::move(weights_it) },
               _biases_it{ std::move(biases_it) },
               _dst_it{ std::move(dst_it) },
-              _infos_it{ std::move(infos_it) }
+              _infos_it{ std::move(infos_it) },
+              _dilation_it{ std::move(dilation_it) }
         {
         }
 
@@ -62,13 +64,14 @@ public:
             description << "Weights=" << *_weights_it << ":";
             description << "Biases=" << *_biases_it << ":";
             description << "Out=" << *_dst_it << ":";
-            description << "Info=" << *_infos_it;
+            description << "Info=" << *_infos_it << ":";
+            description << "Dilation=" << *_dilation_it;
             return description.str();
         }
 
         ConvolutionLayerDataset::type operator*() const
         {
-            return std::make_tuple(*_src_it, *_weights_it, *_biases_it, *_dst_it, *_infos_it);
+            return std::make_tuple(*_src_it, *_weights_it, *_biases_it, *_dst_it, *_infos_it, *_dilation_it);
         }
 
         iterator &operator++()
@@ -78,6 +81,7 @@ public:
             ++_biases_it;
             ++_dst_it;
             ++_infos_it;
+            ++_dilation_it;
 
             return *this;
         }
@@ -88,25 +92,27 @@ public:
         std::vector<TensorShape>::const_iterator   _biases_it;
         std::vector<TensorShape>::const_iterator   _dst_it;
         std::vector<PadStrideInfo>::const_iterator _infos_it;
+        std::vector<Size2D>::const_iterator        _dilation_it;
     };
 
     iterator begin() const
     {
-        return iterator(_src_shapes.begin(), _weight_shapes.begin(), _bias_shapes.begin(), _dst_shapes.begin(), _infos.begin());
+        return iterator(_src_shapes.begin(), _weight_shapes.begin(), _bias_shapes.begin(), _dst_shapes.begin(), _infos.begin(), _dilations.begin());
     }
 
     int size() const
     {
-        return std::min(_src_shapes.size(), std::min(_weight_shapes.size(), std::min(_bias_shapes.size(), std::min(_dst_shapes.size(), _infos.size()))));
+        return std::min(_src_shapes.size(), std::min(_weight_shapes.size(), std::min(_bias_shapes.size(), std::min(_dst_shapes.size(), std::min(_infos.size(), _dilations.size())))));
     }
 
-    void add_config(TensorShape src, TensorShape weights, TensorShape biases, TensorShape dst, PadStrideInfo info)
+    void add_config(TensorShape src, TensorShape weights, TensorShape biases, TensorShape dst, PadStrideInfo info, Size2D dilation = Size2D(1U, 1U))
     {
         _src_shapes.emplace_back(std::move(src));
         _weight_shapes.emplace_back(std::move(weights));
         _bias_shapes.emplace_back(std::move(biases));
         _dst_shapes.emplace_back(std::move(dst));
         _infos.emplace_back(std::move(info));
+        _dilations.emplace_back(std::move(dilation));
     }
 
 protected:
@@ -119,6 +125,7 @@ private:
     std::vector<TensorShape>   _bias_shapes{};
     std::vector<TensorShape>   _dst_shapes{};
     std::vector<PadStrideInfo> _infos{};
+    std::vector<Size2D>        _dilations{};
 };
 } // namespace datasets
 } // namespace test
diff --git a/tests/datasets/DilatedConvolutionLayerDataset.h b/tests/datasets/DilatedConvolutionLayerDataset.h
new file mode 100644
index 0000000000..3bbf282a31
--- /dev/null
+++ b/tests/datasets/DilatedConvolutionLayerDataset.h
@@ -0,0 +1,81 @@
+/*
+ * Copyright (c) 2018 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_DILATED_CONVOLUTION_LAYER_DATASET
+#define ARM_COMPUTE_TEST_DILATED_CONVOLUTION_LAYER_DATASET
+
+#include "utils/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "tests/datasets/ConvolutionLayerDataset.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class TinyDilatedConvolutionLayerDataset final : public ConvolutionLayerDataset
+{
+public:
+    TinyDilatedConvolutionLayerDataset()
+    {
+        // Batch size 1
+        add_config(TensorShape(23U, 27U, 5U), TensorShape(3U, 3U, 5U, 21U), TensorShape(21U), TensorShape(10U, 23U, 21U), PadStrideInfo(2, 1, 0, 0), Size2D(2U, 2U));
+        add_config(TensorShape(33U, 27U, 7U), TensorShape(5U, 5U, 7U, 16U), TensorShape(16U), TensorShape(11U, 10U, 16U), PadStrideInfo(3, 2, 1, 0), Size2D(1U, 2U));
+        // Batch size 4
+        add_config(TensorShape(17U, 31U, 2U, 4U), TensorShape(5U, 5U, 2U, 19U), TensorShape(19U), TensorShape(11U, 13U, 19U, 4U), PadStrideInfo(1, 2, 1, 1), Size2D(2U, 2U));
+    }
+};
+
+class SmallDilatedConvolutionLayerDataset final : public ConvolutionLayerDataset
+{
+public:
+    SmallDilatedConvolutionLayerDataset()
+    {
+        add_config(TensorShape(23U, 27U, 5U), TensorShape(3U, 3U, 5U, 21U), TensorShape(21U), TensorShape(10U, 23U, 21U), PadStrideInfo(2, 1, 0, 0), Size2D(2U, 2U));
+        add_config(TensorShape(33U, 27U, 7U), TensorShape(5U, 5U, 7U, 16U), TensorShape(16U), TensorShape(11U, 10U, 16U), PadStrideInfo(3, 2, 1, 0), Size2D(1U, 2U));
+        add_config(TensorShape(17U, 31U, 2U), TensorShape(5U, 5U, 2U, 19U), TensorShape(19U), TensorShape(11U, 15U, 19U), PadStrideInfo(1, 2, 1, 1), Size2D(2U, 1U));
+        add_config(TensorShape(23U, 27U, 5U), TensorShape(3U, 1U, 5U, 21U), TensorShape(21U), TensorShape(9U, 27U, 21U), PadStrideInfo(2, 1, 0, 0), Size2D(3U, 1U));
+        add_config(TensorShape(17U, 31U, 2U), TensorShape(5U, 3U, 2U, 19U), TensorShape(19U), TensorShape(11U, 15U, 19U), PadStrideInfo(1, 2, 1, 1), Size2D(2U, 2U));
+    }
+};
+
+class LargeDilatedConvolutionLayerDataset final : public ConvolutionLayerDataset
+{
+public:
+    LargeDilatedConvolutionLayerDataset()
+    {
+        // Batch size 1
+        add_config(TensorShape(27U, 27U, 96U), TensorShape(5U, 5U, 96U, 256U), TensorShape(256U), TensorShape(15U, 15U, 256U), PadStrideInfo(1, 1, 2, 2), Size2D(4U, 4U));
+        add_config(TensorShape(13U, 13U, 256U), TensorShape(3U, 3U, 256U, 384U), TensorShape(384U), TensorShape(11U, 9U, 384U), PadStrideInfo(1, 1, 1, 1), Size2D(2U, 3U));
+        add_config(TensorShape(13U, 13U, 384U), TensorShape(3U, 3U, 384U, 384U), TensorShape(384U), TensorShape(9U, 11U, 384U), PadStrideInfo(1, 1, 1, 1), Size2D(3U, 2U));
+        add_config(TensorShape(13U, 13U, 384U), TensorShape(3U, 3U, 384U, 256U), TensorShape(256U), TensorShape(7U, 7U, 256U), PadStrideInfo(1, 1, 1, 1), Size2D(4U, 4U));
+        add_config(TensorShape(224U, 224U, 3U), TensorShape(7U, 7U, 3U, 64U), TensorShape(64U), TensorShape(109U, 112U, 64U), PadStrideInfo(2, 2, 3, 3), Size2D(2U, 1U));
+    }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_DILATED_CONVOLUTION_LAYER_DATASET */