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authorSiCong Li <sicong.li@arm.com>2017-07-04 15:02:10 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:35:24 +0000
commit3e36369a5511c3028c30fc820752dc1248bddf5c (patch)
tree58eb09548bdcc276e62f41f01f86fa06fea211e7 /tests
parentedfa9f463bed084f8b0953557202b2a1e56da817 (diff)
downloadComputeLibrary-3e36369a5511c3028c30fc820752dc1248bddf5c.tar.gz
COMPMID-358 Implement OpenCL ROI Pooling
* Implement OpenCL ROI Pooling * Add CLROIPoolingLayer benchmarks Change-Id: I8786d01d551850a1b4d599a48fabe3925e0a27d0 Reviewed-on: http://mpd-gerrit.cambridge.arm.com/79833 Reviewed-by: Anthony Barbier <anthony.barbier@arm.com> Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Diffstat (limited to 'tests')
-rw-r--r--tests/CL/CLArrayAccessor.h83
-rw-r--r--tests/IArrayAccessor.h60
-rw-r--r--tests/NEON/ArrayAccessor.h73
-rw-r--r--tests/NEON/Helper.h12
-rw-r--r--tests/Utils.h55
-rw-r--r--tests/benchmark_new/CL/ROIPoolingLayer.cpp53
-rw-r--r--tests/benchmark_new/NEON/ROIPoolingLayer.cpp53
-rw-r--r--tests/datasets_new/ROIPoolingLayerDataset.h127
-rw-r--r--tests/fixtures_new/ROIPoolingLayerFixture.h95
-rw-r--r--tests/validation/CL/CMakeLists.txt9
-rw-r--r--tests/validation/CL/ROIPoolingLayer.cpp112
-rw-r--r--tests/validation/Helpers.cpp72
-rw-r--r--tests/validation/Helpers.h13
-rw-r--r--tests/validation/NEON/Gaussian5x5.cpp2
-rw-r--r--tests/validation/NEON/ROIPoolingLayer.cpp12
15 files changed, 728 insertions, 103 deletions
diff --git a/tests/CL/CLArrayAccessor.h b/tests/CL/CLArrayAccessor.h
new file mode 100644
index 0000000000..a38907dd78
--- /dev/null
+++ b/tests/CL/CLArrayAccessor.h
@@ -0,0 +1,83 @@
+/*
+ * 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.
+ */
+#ifndef __ARM_COMPUTE_TEST_CLARRAYACCESSOR_H__
+#define __ARM_COMPUTE_TEST_CLARRAYACCESSOR_H__
+
+#include "arm_compute/runtime/CL/CLArray.h"
+#include "tests/IArrayAccessor.h"
+
+namespace arm_compute
+{
+namespace test
+{
+/** Accessor implementation for @ref CLArray objects. */
+template <typename T>
+class CLArrayAccessor : public IArrayAccessor<T>
+{
+public:
+ /** Create an accessor for the given @p array.
+ *
+ * @param[in, out] array To be accessed array.
+ *
+ * @note The CL memory is mapped by the constructor.
+ *
+ */
+ CLArrayAccessor(CLArray<T> &array)
+ : _array{ array }
+ {
+ _array.map();
+ }
+
+ CLArrayAccessor(const CLArrayAccessor &) = delete;
+ CLArrayAccessor &operator=(const CLArrayAccessor &) = delete;
+ CLArrayAccessor(CLArrayAccessor &&) = default;
+ CLArrayAccessor &operator=(CLArrayAccessor &&) = default;
+
+ /** Destructor that unmaps the CL memory. */
+ ~CLArrayAccessor()
+ {
+ _array.unmap();
+ }
+
+ int num_values() const override
+ {
+ return _array.num_values();
+ }
+
+ T *buffer() override
+ {
+ return _array.buffer();
+ }
+
+ void resize(size_t num) override
+ {
+ _array.resize(num);
+ }
+
+private:
+ CLArray<T> &_array;
+};
+} // namespace test
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_TEST_CLARRAYACCESSOR_H__ */
diff --git a/tests/IArrayAccessor.h b/tests/IArrayAccessor.h
new file mode 100644
index 0000000000..73f8829ed2
--- /dev/null
+++ b/tests/IArrayAccessor.h
@@ -0,0 +1,60 @@
+/*
+ * 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.
+ */
+#ifndef __ARM_COMPUTE_TEST_IARRAYACCESSOR_H__
+#define __ARM_COMPUTE_TEST_IARRAYACCESSOR_H__
+
+namespace arm_compute
+{
+namespace test
+{
+/** Common interface to provide information and access to array like
+ * structures.
+ */
+template <typename T>
+class IArrayAccessor
+{
+public:
+ using value_type = T;
+
+ /** Virtual destructor. */
+ virtual ~IArrayAccessor() = default;
+
+ /** Number of elements of the tensor. */
+ virtual int num_values() const = 0;
+
+ /** Access to the buffer.
+ *
+ * @return A pointer to the first element in the buffer.
+ */
+ virtual T *buffer() = 0;
+
+ /** Resize array.
+ *
+ * @param[in] num The new array size in number of elements
+ */
+ virtual void resize(size_t num) = 0;
+};
+} // namespace test
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_TEST_IARRAYACCESSOR_H__ */
diff --git a/tests/NEON/ArrayAccessor.h b/tests/NEON/ArrayAccessor.h
new file mode 100644
index 0000000000..e56e6538ba
--- /dev/null
+++ b/tests/NEON/ArrayAccessor.h
@@ -0,0 +1,73 @@
+/*
+ * 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.
+ */
+#ifndef __ARM_COMPUTE_TEST_ARRAYACCESSOR_H__
+#define __ARM_COMPUTE_TEST_ARRAYACCESSOR_H__
+
+#include "arm_compute/runtime/Array.h"
+#include "tests/IArrayAccessor.h"
+
+namespace arm_compute
+{
+namespace test
+{
+/** ArrayAccessor implementation for @ref Array objects. */
+template <typename T>
+class ArrayAccessor : public IArrayAccessor<T>
+{
+public:
+ /** Create an accessor for the given @p array.
+ *
+ * @param[in, out] array To be accessed array.
+ */
+ ArrayAccessor(Array<T> &array)
+ : _array{ array }
+ {
+ }
+
+ ArrayAccessor(const ArrayAccessor &) = delete;
+ ArrayAccessor &operator=(const ArrayAccessor &) = delete;
+ ArrayAccessor(ArrayAccessor &&) = default;
+ ArrayAccessor &operator=(ArrayAccessor &&) = default;
+
+ int num_values() const override
+ {
+ return _array.num_values();
+ }
+
+ T *buffer() override
+ {
+ return _array.buffer();
+ }
+
+ void resize(size_t num) override
+ {
+ _array.resize(num);
+ }
+
+private:
+ Array<T> &_array;
+};
+} // namespace test
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_TEST_ARRAYACCESSOR_H__ */
diff --git a/tests/NEON/Helper.h b/tests/NEON/Helper.h
index 9e60a48ecd..4efab17fca 100644
--- a/tests/NEON/Helper.h
+++ b/tests/NEON/Helper.h
@@ -35,18 +35,6 @@ namespace arm_compute
{
namespace test
{
-template <typename T>
-Array<T> create_array(const std::vector<T> &v)
-{
- const size_t v_size = v.size();
- Array<T> array(v_size);
-
- array.resize(v_size);
- std::copy(v.begin(), v.end(), array.buffer());
-
- return array;
-}
-
template <typename D, typename T, typename... Ts>
void fill_tensors(D &&dist, std::initializer_list<int> seeds, T &&tensor, Ts &&... other_tensors)
{
diff --git a/tests/Utils.h b/tests/Utils.h
index 93831aa30b..f1725d7d74 100644
--- a/tests/Utils.h
+++ b/tests/Utils.h
@@ -37,9 +37,11 @@
#include <cstddef>
#include <limits>
#include <memory>
+#include <random>
#include <sstream>
#include <string>
#include <type_traits>
+#include <vector>
namespace arm_compute
{
@@ -421,6 +423,59 @@ inline T create_tensor(const TensorShape &shape, DataType data_type, int num_cha
return tensor;
}
+
+/** Create a vector of random ROIs.
+ *
+ * @param[in] shape The shape of the input tensor.
+ * @param[in] pool_info The ROI pooling information.
+ * @param[in] num_rois The number of ROIs to be created.
+ * @param[in] seed The random seed to be used.
+ *
+ * @return A vector that contains the requested number of random ROIs
+ */
+inline std::vector<ROI> generate_random_rois(const TensorShape &shape, const ROIPoolingLayerInfo &pool_info, unsigned int num_rois, std::random_device::result_type seed)
+{
+ ARM_COMPUTE_ERROR_ON((pool_info.pooled_width() < 4) || (pool_info.pooled_height() < 4));
+
+ std::vector<ROI> rois;
+ std::mt19937 gen(seed);
+ const int pool_width = pool_info.pooled_width();
+ const int pool_height = pool_info.pooled_height();
+ const float roi_scale = pool_info.spatial_scale();
+
+ // Calculate distribution bounds
+ const auto scaled_width = static_cast<int>((shape.x() / roi_scale) / pool_width);
+ const auto scaled_height = static_cast<int>((shape.y() / roi_scale) / pool_height);
+ const auto min_width = static_cast<int>(pool_width / roi_scale);
+ const auto min_height = static_cast<int>(pool_height / roi_scale);
+
+ // Create distributions
+ std::uniform_int_distribution<int> dist_batch(0, shape[3] - 1);
+ std::uniform_int_distribution<int> dist_x(0, scaled_width);
+ std::uniform_int_distribution<int> dist_y(0, scaled_height);
+ std::uniform_int_distribution<int> dist_w(min_width, std::max(min_width, (pool_width - 2) * scaled_width));
+ std::uniform_int_distribution<int> dist_h(min_height, std::max(min_height, (pool_height - 2) * scaled_height));
+
+ for(unsigned int r = 0; r < num_rois; ++r)
+ {
+ ROI roi;
+ roi.batch_idx = dist_batch(gen);
+ roi.rect.x = dist_x(gen);
+ roi.rect.y = dist_y(gen);
+ roi.rect.width = dist_w(gen);
+ roi.rect.height = dist_h(gen);
+ rois.push_back(roi);
+ }
+
+ return rois;
+}
+
+template <typename T, typename ArrayAccessor_T>
+inline void fill_array(ArrayAccessor_T &&array, const std::vector<T> &v)
+{
+ array.resize(v.size());
+ std::memcpy(array.buffer(), v.data(), v.size() * sizeof(T));
+}
} // namespace test
} // namespace arm_compute
#endif /* __ARM_COMPUTE_TEST_UTILS_H__ */
diff --git a/tests/benchmark_new/CL/ROIPoolingLayer.cpp b/tests/benchmark_new/CL/ROIPoolingLayer.cpp
new file mode 100644
index 0000000000..260f4d7b0d
--- /dev/null
+++ b/tests/benchmark_new/CL/ROIPoolingLayer.cpp
@@ -0,0 +1,53 @@
+/*
+ * 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 "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/CL/CLArray.h"
+#include "arm_compute/runtime/CL/CLTensor.h"
+#include "arm_compute/runtime/CL/CLTensorAllocator.h"
+#include "arm_compute/runtime/CL/functions/CLROIPoolingLayer.h"
+#include "framework/Macros.h"
+#include "framework/datasets/Datasets.h"
+#include "tests/CL/CLAccessor.h"
+#include "tests/CL/CLArrayAccessor.h"
+#include "tests/TypePrinter.h"
+#include "tests/datasets_new/ROIPoolingLayerDataset.h"
+#include "tests/fixtures_new/ROIPoolingLayerFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+using CLROIPoolingLayerFixture = ROIPoolingLayerFixture<CLTensor, CLROIPoolingLayer, CLAccessor, CLArray<ROI>, CLArrayAccessor<ROI>>;
+
+TEST_SUITE(CL)
+
+REGISTER_FIXTURE_DATA_TEST_CASE(SmallROIPoolingLayer, CLROIPoolingLayerFixture, framework::DatasetMode::ALL,
+ framework::dataset::combine(framework::dataset::combine(datasets::SmallROIPoolingLayerDataset(),
+ framework::dataset::make("DataType", { DataType::F16, DataType::F32 })),
+ framework::dataset::make("Batches", { 1, 4, 8 })));
+
+TEST_SUITE_END()
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/benchmark_new/NEON/ROIPoolingLayer.cpp b/tests/benchmark_new/NEON/ROIPoolingLayer.cpp
new file mode 100644
index 0000000000..e8c5ba3109
--- /dev/null
+++ b/tests/benchmark_new/NEON/ROIPoolingLayer.cpp
@@ -0,0 +1,53 @@
+/*
+ * 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 "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/Array.h"
+#include "arm_compute/runtime/NEON/functions/NEROIPoolingLayer.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "arm_compute/runtime/TensorAllocator.h"
+#include "framework/Macros.h"
+#include "framework/datasets/Datasets.h"
+#include "tests/NEON/Accessor.h"
+#include "tests/NEON/ArrayAccessor.h"
+#include "tests/TypePrinter.h"
+#include "tests/datasets_new/ROIPoolingLayerDataset.h"
+#include "tests/fixtures_new/ROIPoolingLayerFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+using NEROIPoolingLayerFixture = ROIPoolingLayerFixture<Tensor, NEROIPoolingLayer, Accessor, Array<ROI>, ArrayAccessor<ROI>>;
+
+TEST_SUITE(NEON)
+
+REGISTER_FIXTURE_DATA_TEST_CASE(SmallROIPoolingLayer, NEROIPoolingLayerFixture, framework::DatasetMode::ALL,
+ framework::dataset::combine(framework::dataset::combine(datasets::SmallROIPoolingLayerDataset(),
+ framework::dataset::make("DataType", { DataType::F32 })),
+ framework::dataset::make("Batches", { 1, 4, 8 })));
+
+TEST_SUITE_END()
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/datasets_new/ROIPoolingLayerDataset.h b/tests/datasets_new/ROIPoolingLayerDataset.h
new file mode 100644
index 0000000000..c68a33fe8f
--- /dev/null
+++ b/tests/datasets_new/ROIPoolingLayerDataset.h
@@ -0,0 +1,127 @@
+/*
+ * 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.
+ */
+#ifndef ARM_COMPUTE_TEST_ROI_POOLING_LAYER_DATASET
+#define ARM_COMPUTE_TEST_ROI_POOLING_LAYER_DATASET
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class ROIPoolingLayerDataset
+{
+public:
+ using type = std::tuple<TensorShape, ROIPoolingLayerInfo, int>;
+
+ struct iterator
+ {
+ iterator(std::vector<TensorShape>::const_iterator tensor_shape_it,
+ std::vector<ROIPoolingLayerInfo>::const_iterator infos_it,
+ std::vector<unsigned int>::const_iterator num_rois_it)
+ : _tensor_shape_it{ std::move(tensor_shape_it) },
+ _infos_it{ std::move(infos_it) },
+ _num_rois_it{ std::move(num_rois_it) }
+ {
+ }
+
+ std::string description() const
+ {
+ std::stringstream description;
+ description << "In=" << *_tensor_shape_it << ":";
+ description << "Info=" << *_infos_it;
+ description << "NumROIS=" << *_num_rois_it;
+ return description.str();
+ }
+
+ ROIPoolingLayerDataset::type operator*() const
+ {
+ return std::make_tuple(*_tensor_shape_it, *_infos_it, *_num_rois_it);
+ }
+
+ iterator &operator++()
+ {
+ ++_tensor_shape_it;
+ ++_infos_it;
+ ++_num_rois_it;
+
+ return *this;
+ }
+
+ private:
+ std::vector<TensorShape>::const_iterator _tensor_shape_it;
+ std::vector<ROIPoolingLayerInfo>::const_iterator _infos_it;
+ std::vector<unsigned int>::const_iterator _num_rois_it;
+ };
+
+ iterator begin() const
+ {
+ return iterator(_tensor_shapes.begin(), _infos.begin(), _num_rois.begin());
+ }
+
+ int size() const
+ {
+ return std::min(std::min(_tensor_shapes.size(), _infos.size()), _num_rois.size());
+ }
+
+ void add_config(TensorShape tensor_shape, ROIPoolingLayerInfo info, unsigned int num_rois)
+ {
+ _tensor_shapes.emplace_back(std::move(tensor_shape));
+ _infos.emplace_back(std::move(info));
+ _num_rois.emplace_back(std::move(num_rois));
+ }
+
+protected:
+ ROIPoolingLayerDataset() = default;
+ ROIPoolingLayerDataset(ROIPoolingLayerDataset &&) = default;
+
+private:
+ std::vector<TensorShape> _tensor_shapes{};
+ std::vector<ROIPoolingLayerInfo> _infos{};
+ std::vector<unsigned int> _num_rois{};
+};
+
+class SmallROIPoolingLayerDataset final : public ROIPoolingLayerDataset
+{
+public:
+ SmallROIPoolingLayerDataset()
+ {
+ add_config(TensorShape(50U, 47U, 3U), ROIPoolingLayerInfo(7U, 7U, 1.f / 8.f), 40U);
+ add_config(TensorShape(50U, 47U, 10U), ROIPoolingLayerInfo(7U, 7U, 1.f / 8.f), 80U);
+ add_config(TensorShape(50U, 47U, 80U), ROIPoolingLayerInfo(7U, 7U, 1.f / 8.f), 80U);
+ add_config(TensorShape(50U, 47U, 3U), ROIPoolingLayerInfo(9U, 9U, 1.f / 8.f), 40U);
+ add_config(TensorShape(50U, 47U, 10U), ROIPoolingLayerInfo(9U, 9U, 1.f / 8.f), 80U);
+ add_config(TensorShape(50U, 47U, 80U), ROIPoolingLayerInfo(9U, 9U, 1.f / 8.f), 80U);
+ }
+};
+
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_ROI_POOLING_LAYER_DATASET */
diff --git a/tests/fixtures_new/ROIPoolingLayerFixture.h b/tests/fixtures_new/ROIPoolingLayerFixture.h
new file mode 100644
index 0000000000..54dac51ee4
--- /dev/null
+++ b/tests/fixtures_new/ROIPoolingLayerFixture.h
@@ -0,0 +1,95 @@
+/*
+ * 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.
+ */
+#ifndef ARM_COMPUTE_TEST_ROIPOOLINGLAYERFIXTURE
+#define ARM_COMPUTE_TEST_ROIPOOLINGLAYERFIXTURE
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "framework/Fixture.h"
+#include "tests/Globals.h"
+#include "tests/Utils.h"
+
+#include <vector>
+
+namespace arm_compute
+{
+namespace test
+{
+/** Fixture that can be used for NEON and CL */
+template <typename TensorType, typename Function, typename Accessor, typename Array_T, typename ArrayAccessor>
+class ROIPoolingLayerFixture : public framework::Fixture
+{
+public:
+ template <typename...>
+ void setup(TensorShape shape, const ROIPoolingLayerInfo pool_info, unsigned int num_rois, DataType data_type, int batches)
+ {
+ // Set batched in source and destination shapes
+ const unsigned int fixed_point_position = 4;
+ TensorShape shape_dst;
+ shape.set(shape.num_dimensions(), batches);
+ shape_dst.set(0, pool_info.pooled_width());
+ shape_dst.set(1, pool_info.pooled_height());
+ shape_dst.set(2, shape.z());
+ shape_dst.set(3, num_rois);
+
+ // Create tensors
+ src = create_tensor<TensorType>(shape, data_type, 1, fixed_point_position);
+ dst = create_tensor<TensorType>(shape_dst, data_type, 1, fixed_point_position);
+
+ // Create random ROIs
+ std::vector<ROI> rois = generate_random_rois(shape, pool_info, num_rois, 0U);
+ rois_array = arm_compute::support::cpp14::make_unique<Array_T>(num_rois);
+ fill_array(ArrayAccessor(*rois_array), rois);
+
+ // Create and configure function
+ roi_pool.configure(&src, rois_array.get(), &dst, pool_info);
+
+ // Allocate tensors
+ src.allocator()->allocate();
+ dst.allocator()->allocate();
+
+ // Fill tensors
+ library->fill_tensor_uniform(Accessor(src), 0);
+ }
+
+ void run()
+ {
+ roi_pool.run();
+ }
+
+ void teardown()
+ {
+ src.allocator()->free();
+ dst.allocator()->free();
+ }
+
+private:
+ TensorType src{};
+ TensorType dst{};
+ std::unique_ptr<Array_T> rois_array{};
+ Function roi_pool{};
+};
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_ROIPOOLINGLAYERFIXTURE */
diff --git a/tests/validation/CL/CMakeLists.txt b/tests/validation/CL/CMakeLists.txt
index 67900b3edc..f4477f621f 100644
--- a/tests/validation/CL/CMakeLists.txt
+++ b/tests/validation/CL/CMakeLists.txt
@@ -27,15 +27,24 @@ set(arm_compute_test_validation_OPENCL_SOURCE_FILES
${CMAKE_SOURCE_DIR}/CL/CLAccessor.h
${CMAKE_CURRENT_SOURCE_DIR}/CLFixture.h
${CMAKE_CURRENT_SOURCE_DIR}/CLFixture.cpp
+ ${CMAKE_CURRENT_SOURCE_DIR}/ActivationLayer.cpp
${CMAKE_CURRENT_SOURCE_DIR}/BitwiseAnd.cpp
${CMAKE_CURRENT_SOURCE_DIR}/Box3x3.cpp
+ ${CMAKE_CURRENT_SOURCE_DIR}/ConvolutionLayer.cpp
${CMAKE_CURRENT_SOURCE_DIR}/DepthConvert.cpp
${CMAKE_CURRENT_SOURCE_DIR}/FillBorder.cpp
+ ${CMAKE_CURRENT_SOURCE_DIR}/FixedPoint/FixedPoint_QS8.cpp
+ ${CMAKE_CURRENT_SOURCE_DIR}/FullyConnectedLayer.cpp
${CMAKE_CURRENT_SOURCE_DIR}/Gaussian3x3.cpp
${CMAKE_CURRENT_SOURCE_DIR}/Gaussian5x5.cpp
+ ${CMAKE_CURRENT_SOURCE_DIR}/GEMM.cpp
` ${CMAKE_CURRENT_SOURCE_DIR}/IntegralImage.cpp
+` ${CMAKE_CURRENT_SOURCE_DIR}/NonLinearFilter.cpp
+` ${CMAKE_CURRENT_SOURCE_DIR}/PoolingLayer.cpp
+` ${CMAKE_CURRENT_SOURCE_DIR}/ROIPoolingLayer.cpp
${CMAKE_CURRENT_SOURCE_DIR}/Sobel3x3.cpp
${CMAKE_CURRENT_SOURCE_DIR}/Sobel5x5.cpp
+ ${CMAKE_CURRENT_SOURCE_DIR}/SoftmaxLayer.cpp
${CMAKE_CURRENT_SOURCE_DIR}/Threshold.cpp
${CMAKE_CURRENT_SOURCE_DIR}/DirectConvolutionLayer.cpp
${CMAKE_CURRENT_SOURCE_DIR}/MeanStdDev.cpp
diff --git a/tests/validation/CL/ROIPoolingLayer.cpp b/tests/validation/CL/ROIPoolingLayer.cpp
new file mode 100644
index 0000000000..19d7903128
--- /dev/null
+++ b/tests/validation/CL/ROIPoolingLayer.cpp
@@ -0,0 +1,112 @@
+/*
+ * 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/CLArrayAccessor.h"
+#include "TypePrinter.h"
+#include "arm_compute/runtime/CL/CLArray.h"
+#include "arm_compute/runtime/CL/functions/CLROIPoolingLayer.h"
+#include "tests/Globals.h"
+#include "tests/Utils.h"
+#include "validation/Datasets.h"
+#include "validation/Reference.h"
+#include "validation/Validation.h"
+#include "validation/ValidationUserConfiguration.h"
+
+#include <random>
+#include <vector>
+
+using namespace arm_compute;
+using namespace arm_compute::test;
+using namespace arm_compute::test::validation;
+
+namespace
+{
+CLTensor compute_roi_pooling_layer(const TensorShape &shape, DataType dt, const std::vector<ROI> &rois, ROIPoolingLayerInfo pool_info)
+{
+ TensorShape shape_dst;
+ shape_dst.set(0, pool_info.pooled_width());
+ shape_dst.set(1, pool_info.pooled_height());
+ shape_dst.set(2, shape.z());
+ shape_dst.set(3, rois.size());
+
+ // Create tensors
+ CLTensor src = create_tensor<CLTensor>(shape, dt);
+ CLTensor dst = create_tensor<CLTensor>(shape_dst, dt);
+
+ // Create ROI array
+ CLArray<ROI> rois_array(rois.size());
+ fill_array(CLArrayAccessor<ROI>(rois_array), rois);
+
+ // Create and configure function
+ CLROIPoolingLayer roi_pool;
+ roi_pool.configure(&src, &rois_array, &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
+ roi_pool.run();
+
+ return dst;
+}
+} // namespace
+
+#ifndef DOXYGEN_SKIP_THIS
+BOOST_AUTO_TEST_SUITE(CL)
+BOOST_AUTO_TEST_SUITE(ROIPoolingLayer)
+
+BOOST_AUTO_TEST_SUITE(Float)
+BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
+BOOST_DATA_TEST_CASE(RunSmall, boost::unit_test::data::make({ DataType::F16, DataType::F32 }) * boost::unit_test::data::make({ 10, 20, 40 }) * boost::unit_test::data::make({ 7, 9 }) *
+ boost::unit_test::data::make({ 1.f / 8.f, 1.f / 16.f }),
+ dt, num_rois, roi_pool_size, roi_scale)
+{
+ TensorShape shape(50U, 47U, 2U, 3U);
+ ROIPoolingLayerInfo pool_info(roi_pool_size, roi_pool_size, roi_scale);
+
+ // Construct ROI vector
+ std::vector<ROI> rois = generate_random_rois(shape, pool_info, num_rois, user_config.seed);
+
+ // Compute function
+ CLTensor dst = compute_roi_pooling_layer(shape, dt, rois, pool_info);
+
+ // Compute reference
+ RawTensor ref_dst = Reference::compute_reference_roi_pooling_layer(shape, dt, rois, pool_info);
+
+ // Validate output
+ validate(CLAccessor(dst), ref_dst);
+}
+BOOST_AUTO_TEST_SUITE_END()
+
+BOOST_AUTO_TEST_SUITE_END()
+BOOST_AUTO_TEST_SUITE_END()
+#endif /* DOXYGEN_SKIP_THIS */
diff --git a/tests/validation/Helpers.cpp b/tests/validation/Helpers.cpp
deleted file mode 100644
index 747260ea99..0000000000
--- a/tests/validation/Helpers.cpp
+++ /dev/null
@@ -1,72 +0,0 @@
-/*
- * 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 "validation/Helpers.h"
-
-using namespace arm_compute::test;
-
-namespace arm_compute
-{
-namespace test
-{
-namespace validation
-{
-std::vector<ROI> generate_random_rois(const TensorShape &shape, const ROIPoolingLayerInfo &pool_info, unsigned int num_rois, std::random_device::result_type seed)
-{
- ARM_COMPUTE_ERROR_ON((pool_info.pooled_width() < 4) || (pool_info.pooled_height() < 4));
-
- std::vector<ROI> rois;
- std::mt19937 gen(seed);
- const int pool_width = pool_info.pooled_width();
- const int pool_height = pool_info.pooled_height();
- const float roi_scale = pool_info.spatial_scale();
-
- // Calculate distribution bounds
- const auto scaled_width = static_cast<int>((shape.x() / roi_scale) / pool_width);
- const auto scaled_height = static_cast<int>((shape.y() / roi_scale) / pool_height);
- const auto min_width = static_cast<int>(pool_width / roi_scale);
- const auto min_height = static_cast<int>(pool_height / roi_scale);
-
- // Create distributions
- std::uniform_int_distribution<int> dist_batch(0, shape[3] - 1);
- std::uniform_int_distribution<int> dist_x(0, scaled_width);
- std::uniform_int_distribution<int> dist_y(0, scaled_height);
- std::uniform_int_distribution<int> dist_w(min_width, std::max(min_width, (pool_width - 2) * scaled_width));
- std::uniform_int_distribution<int> dist_h(min_height, std::max(min_height, (pool_height - 2) * scaled_height));
-
- for(unsigned int r = 0; r < num_rois; ++r)
- {
- ROI roi{};
- roi.batch_idx = dist_batch(gen);
- roi.rect.x = dist_x(gen);
- roi.rect.y = dist_y(gen);
- roi.rect.width = dist_w(gen);
- roi.rect.height = dist_h(gen);
- rois.push_back(roi);
- }
-
- return rois;
-}
-} // namespace validation
-} // namespace test
-} // namespace arm_compute
diff --git a/tests/validation/Helpers.h b/tests/validation/Helpers.h
index 09ffda8957..19a0c4105c 100644
--- a/tests/validation/Helpers.h
+++ b/tests/validation/Helpers.h
@@ -32,6 +32,7 @@
#include "tests/validation/half.h"
#include <array>
+#include <cstring>
#include <random>
#include <type_traits>
#include <utility>
@@ -250,17 +251,6 @@ inline void fill_warp_matrix(std::array<float, SIZE> &matrix, int cols, int rows
}
}
-/** Create a vector of random ROIs.
- *
- * @param[in] shape The shape of the input tensor.
- * @param[in] pool_info The ROI pooling information.
- * @param[in] num_rois The number of ROIs to be created.
- * @param[in] seed The random seed to be used.
- *
- * @return A vector that contains the requested number of random ROIs
- */
-std::vector<ROI> generate_random_rois(const TensorShape &shape, const ROIPoolingLayerInfo &pool_info, unsigned int num_rois, std::random_device::result_type seed);
-
/** Helper function to fill the Lut random by a ILutAccessor.
*
* @param[in,out] table Accessor at the Lut.
@@ -277,7 +267,6 @@ void fill_lookuptable(T &&table)
table[i] = distribution(generator);
}
}
-
} // namespace validation
} // namespace test
} // namespace arm_compute
diff --git a/tests/validation/NEON/Gaussian5x5.cpp b/tests/validation/NEON/Gaussian5x5.cpp
index 522ececee9..7727340f66 100644
--- a/tests/validation/NEON/Gaussian5x5.cpp
+++ b/tests/validation/NEON/Gaussian5x5.cpp
@@ -41,8 +41,6 @@
#include "boost_wrapper.h"
-#include <iostream>
-
#include <random>
#include <string>
diff --git a/tests/validation/NEON/ROIPoolingLayer.cpp b/tests/validation/NEON/ROIPoolingLayer.cpp
index 5775db7e03..523885d908 100644
--- a/tests/validation/NEON/ROIPoolingLayer.cpp
+++ b/tests/validation/NEON/ROIPoolingLayer.cpp
@@ -22,13 +22,12 @@
* SOFTWARE.
*/
#include "NEON/Accessor.h"
-#include "NEON/Helper.h"
+#include "NEON/ArrayAccessor.h"
#include "TypePrinter.h"
#include "arm_compute/runtime/NEON/functions/NEROIPoolingLayer.h"
#include "tests/Globals.h"
#include "tests/Utils.h"
#include "validation/Datasets.h"
-#include "validation/Helpers.h"
#include "validation/Reference.h"
#include "validation/Validation.h"
#include "validation/ValidationUserConfiguration.h"
@@ -51,9 +50,12 @@ Tensor compute_roi_pooling_layer(const TensorShape &shape, DataType dt, const st
shape_dst.set(3, rois.size());
// Create tensors
- Tensor src = create_tensor<Tensor>(shape, dt);
- Tensor dst = create_tensor<Tensor>(shape_dst, dt);
- Array<ROI> rois_array = create_array(rois);
+ Tensor src = create_tensor<Tensor>(shape, dt);
+ Tensor dst = create_tensor<Tensor>(shape_dst, dt);
+
+ // Create ROI array
+ Array<ROI> rois_array(rois.size());
+ fill_array(ArrayAccessor<ROI>(rois_array), rois);
// Create and configure function
NEROIPoolingLayer roi_pool;