COMPMID-935 Implementing Convolution with Winograd on OpenCL (part 3)

Change-Id: I51f92f30602fb0a02314f344fa67061f448694bf
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/122793
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>

1 files changed, 140 insertions, 0 deletions

diff --git a/tests/datasets/WinogradInputTransformDataset.h b/tests/datasets/WinogradInputTransformDataset.h
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+++ b/tests/datasets/WinogradInputTransformDataset.h
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+/*
+ * 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_WINOGRAD_INPUT_TRANSFORM_DATASET
+#define ARM_COMPUTE_TEST_WINOGRAD_INPUT_TRANSFORM_DATASET
+
+#include "utils/TypePrinter.h"
+
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class WinogradInputTransformDataset
+{
+public:
+    using type = std::tuple<TensorShape, PadStrideInfo, Size2D, bool>;
+
+    struct iterator
+    {
+        iterator(std::vector<TensorShape>::const_iterator in_it, std::vector<PadStrideInfo>::const_iterator info_it, std::vector<Size2D>::const_iterator kernel_dims_it,
+                 std::vector<bool>::const_iterator format_it)
+            : _in_it{ std::move(in_it) }, _info_it{ std::move(info_it) }, _kernel_dims_it{ std::move(kernel_dims_it) }, _format_it{ std::move(format_it) }
+        {
+        }
+
+        std::string description() const
+        {
+            std::stringstream description;
+            description << "In=" << *_in_it << ":";
+            description << "Info=" << *_info_it;
+            description << "KernelDims=" << *_kernel_dims_it;
+            description << "IsNCHW=" << *_format_it;
+            return description.str();
+        }
+
+        WinogradInputTransformDataset::type operator*() const
+        {
+            return std::make_tuple(*_in_it, *_info_it, *_kernel_dims_it, *_format_it);
+        }
+
+        iterator &operator++()
+        {
+            ++_in_it;
+            ++_info_it;
+            ++_kernel_dims_it;
+            ++_format_it;
+
+            return *this;
+        }
+
+    private:
+        std::vector<TensorShape>::const_iterator   _in_it;
+        std::vector<PadStrideInfo>::const_iterator _info_it;
+        std::vector<Size2D>::const_iterator        _kernel_dims_it;
+        std::vector<bool>::const_iterator          _format_it;
+    };
+
+    iterator begin() const
+    {
+        return iterator(_in_shapes.begin(), _infos.begin(), _kernel_dims.begin(), _format.begin());
+    }
+
+    int size() const
+    {
+        return std::min(_in_shapes.size(), std::min(_infos.size(), std::min(_kernel_dims.size(), _format.size())));
+    }
+
+    void add_config(TensorShape in, PadStrideInfo info, Size2D kernel_dims, bool format)
+    {
+        _in_shapes.emplace_back(std::move(in));
+        _infos.emplace_back(std::move(info));
+        _kernel_dims.emplace_back(std::move(kernel_dims));
+        _format.emplace_back(std::move(format));
+    }
+
+protected:
+    WinogradInputTransformDataset()                                 = default;
+    WinogradInputTransformDataset(WinogradInputTransformDataset &&) = default;
+
+private:
+    std::vector<TensorShape>   _in_shapes{};
+    std::vector<PadStrideInfo> _infos{};
+    std::vector<Size2D>        _kernel_dims{};
+    std::vector<bool>          _format{};
+};
+
+class SmallWinogradInputTransformDataset final : public WinogradInputTransformDataset
+{
+public:
+    SmallWinogradInputTransformDataset()
+    {
+        add_config(TensorShape(9U, 9U), PadStrideInfo(1, 1, 1, 1), Size2D(3U, 3U), true);
+        add_config(TensorShape(27U, 13U, 2U), PadStrideInfo(1, 1, 0, 0), Size2D(3U, 3U), true);
+        add_config(TensorShape(128U, 64U, 1U, 3U), PadStrideInfo(1, 1, 1, 1), Size2D(3U, 3U), true);
+        add_config(TensorShape(9U, 9U, 3U, 4U), PadStrideInfo(1, 1, 0, 0), Size2D(3U, 3U), true);
+        add_config(TensorShape(27U, 13U, 2U, 4U), PadStrideInfo(1, 1, 1, 1), Size2D(3U, 3U), true);
+        add_config(TensorShape(9U, 9U, 3U, 5U), PadStrideInfo(1, 1, 0, 0), Size2D(3U, 3U), true);
+        add_config(TensorShape(14U, 14U, 512U, 2U), PadStrideInfo(1, 1, 1, 1), Size2D(3U, 3U), true);
+    }
+};
+
+class LargeWinogradInputTransformDataset final : public WinogradInputTransformDataset
+{
+public:
+    LargeWinogradInputTransformDataset()
+    {
+        add_config(TensorShape(42U, 37U, 8U, 15U), PadStrideInfo(1, 1, 1, 1), Size2D(3U, 3U), true);
+        add_config(TensorShape(57U, 60U, 13U, 8U), PadStrideInfo(1, 1, 1, 1), Size2D(3U, 3U), true);
+        add_config(TensorShape(128U, 64U, 21U, 13U), PadStrideInfo(1, 1, 0, 0), Size2D(3U, 3U), true);
+        add_config(TensorShape(83U, 72U, 14U, 5U), PadStrideInfo(1, 1, 0, 0), Size2D(3U, 3U), true);
+    }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_WINOGRAD_INPUT_TRANSFORM_DATASET */