[COMPMID-1229] Implementing Pad on OpenCL -FP32/FP16

Change-Id: Ideead99410e5e0bda1035030af1bbcd0a65ea15e
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/144792
Tested-by: bsgcomp <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>

4 files changed, 409 insertions, 0 deletions

diff --git a/tests/validation/CL/Padding.cpp b/tests/validation/CL/Padding.cpp
new file mode 100644
index 0000000000..2548226e65
--- /dev/null
+++ b/tests/validation/CL/Padding.cpp
@@ -0,0 +1,135 @@
+/*
+ * 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.
+ */
+#include "arm_compute/runtime/CL/CLScheduler.h"
+#include "arm_compute/runtime/CL/functions/CLPadLayer.h"
+#include "tests/CL/CLAccessor.h"
+#include "tests/Globals.h"
+#include "tests/datasets/ShapeDatasets.h"
+#include "tests/framework/Macros.h"
+#include "tests/framework/datasets/Datasets.h"
+#include "tests/validation/Validation.h"
+#include "tests/validation/fixtures/PadLayerFixture.h"
+#include "utils/TypePrinter.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace
+{
+const auto PaddingSizesDataset = framework::dataset::make("PaddingSize", { PaddingList{ { 0, 0 } },
+    PaddingList{ { 1, 1 } },
+    PaddingList{ { 1, 1 }, { 2, 2 } },
+    PaddingList{ { 1, 1 }, { 1, 1 }, { 1, 1 }, { 1, 1 } },
+    PaddingList{ { 0, 0 }, { 1, 0 }, { 0, 1 }, { 1, 2 } },
+    PaddingList{ { 0, 0 }, { 0, 0 }, { 0, 0 }, { 1, 1 } }
+});
+} // namespace
+
+TEST_SUITE(CL)
+TEST_SUITE(Padding)
+
+// *INDENT-OFF*
+// clang-format off
+
+DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
+               framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),     // Mismatching data type input/output
+                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),     // Mismatching shapes
+                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
+                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
+                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32)
+                                                     }),
+               framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16),
+                                                       TensorInfo(TensorShape(28U, 11U, 2U), 1, DataType::F32),
+                                                       TensorInfo(TensorShape(29U, 17U, 2U), 1, DataType::F32),
+                                                       TensorInfo(TensorShape(29U, 15U, 4U, 3U), 1, DataType::F32),
+                                                       TensorInfo(TensorShape(27U, 14U, 3U, 4U), 1, DataType::F32),
+                                                       TensorInfo(TensorShape(32U, 13U, 2U, 3U), 1, DataType::F32)
+                                                     })),
+               framework::dataset::make("PaddingSize", { PaddingList{{0, 0}},
+                                                      PaddingList{{1, 1}},
+                                                      PaddingList{{1, 1}, {2, 2}},
+                                                      PaddingList{{1,1}, {1,1}, {1,1}, {1,1}},
+                                                      PaddingList{{0,0}, {1,0}, {0,1}, {1,2}},
+                                                      PaddingList{{0,0}, {0,0}, {0,0}, {1,1}}
+                                                      })),
+               framework::dataset::make("Expected", { false, false, true, true, true, true })),
+               input_info, output_info, padding, expected)
+{
+    ARM_COMPUTE_EXPECT(bool(CLPadLayer::validate(&input_info.clone()->set_is_resizable(true), &output_info.clone()->set_is_resizable(true), padding)) == expected, framework::LogLevel::ERRORS);
+}
+
+// clang-format on
+// *INDENT-ON*
+
+template <typename T>
+using CLPaddingFixture = PaddingFixture<CLTensor, CLAccessor, CLPadLayer, T>;
+
+TEST_SUITE(Float)
+
+TEST_SUITE(FP32)
+
+FIXTURE_DATA_TEST_CASE(RunPadding, CLPaddingFixture<float>, framework::DatasetMode::ALL,
+                       combine(
+                           combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::F32 })),
+                           PaddingSizesDataset))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference);
+}
+
+TEST_SUITE_END() // FP32
+
+TEST_SUITE(FP16)
+FIXTURE_DATA_TEST_CASE(RunPadding, CLPaddingFixture<half>, framework::DatasetMode::ALL,
+                       combine(
+                           combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::F16 })),
+                           PaddingSizesDataset))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference);
+}
+TEST_SUITE_END() // FP16
+
+TEST_SUITE_END() // Float
+
+TEST_SUITE(S8)
+FIXTURE_DATA_TEST_CASE(RunPadding, CLPaddingFixture<int8_t>, framework::DatasetMode::ALL,
+                       combine(
+                           combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::S8 })),
+                           PaddingSizesDataset))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference);
+}
+TEST_SUITE_END() // S8
+
+TEST_SUITE_END() // Padding
+TEST_SUITE_END() // CL
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation/fixtures/PadLayerFixture.h b/tests/validation/fixtures/PadLayerFixture.h
new file mode 100644
index 0000000000..72ce57dc9f
--- /dev/null
+++ b/tests/validation/fixtures/PadLayerFixture.h
@@ -0,0 +1,112 @@
+/*
+ * 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_PADLAYER_FIXTURE
+#define ARM_COMPUTE_TEST_PADLAYER_FIXTURE
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/CL/functions/CLPadLayer.h"
+#include "tests/AssetsLibrary.h"
+#include "tests/Globals.h"
+#include "tests/IAccessor.h"
+#include "tests/framework/Asserts.h"
+#include "tests/framework/Fixture.h"
+#include "tests/validation/Helpers.h"
+#include "tests/validation/reference/PadLayer.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class PaddingFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(TensorShape shape, DataType data_type, const PaddingList &padding)
+    {
+        _target    = compute_target(shape, data_type, padding);
+        _reference = compute_reference(shape, data_type, padding);
+    }
+
+protected:
+    template <typename U>
+    void fill(U &&tensor)
+    {
+        library->fill_tensor_uniform(tensor, 0);
+    }
+
+    TensorType compute_target(const TensorShape &shape,
+                              DataType           data_type,
+                              const PaddingList &paddings)
+    {
+        // Create tensors
+        TensorType src = create_tensor<TensorType>(shape, data_type);
+        TensorType dst;
+
+        // Create and configure function
+        FunctionType padding;
+        padding.configure(&src, &dst, paddings);
+
+        ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+        // Allocate tensors
+        src.allocator()->allocate();
+        dst.allocator()->allocate();
+
+        ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+        // Fill tensors
+        fill(AccessorType(src));
+
+        // Compute function
+        padding.run();
+
+        return dst;
+    }
+
+    SimpleTensor<T> compute_reference(const TensorShape &shape, DataType data_type,
+                                      const PaddingList &paddings)
+    {
+        // Create reference tensor
+        SimpleTensor<T> src{ shape, data_type };
+
+        // Fill reference tensor
+        fill(src);
+
+        return reference::pad_layer(src, paddings);
+    }
+
+    TensorType      _target{};
+    SimpleTensor<T> _reference{};
+};
+
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_PADLAYER_FIXTURE */
diff --git a/tests/validation/reference/PadLayer.cpp b/tests/validation/reference/PadLayer.cpp
new file mode 100644
index 0000000000..0a3b38d697
--- /dev/null
+++ b/tests/validation/reference/PadLayer.cpp
@@ -0,0 +1,109 @@
+/*
+ * 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.
+ */
+#include "PadLayer.h"
+
+#include "arm_compute/core/Types.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+#include "tests/validation/Helpers.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+template <typename T>
+SimpleTensor<T> pad_layer(const SimpleTensor<T> &src, const PaddingList &paddings)
+{
+    DataType dst_data_type = src.data_type();
+
+    TensorShape orig_shape = src.shape();
+
+    std::vector<PaddingInfo> paddings_extended = paddings;
+
+    for(size_t i = paddings.size(); i < TensorShape::num_max_dimensions; i++)
+    {
+        paddings_extended.emplace_back(PaddingInfo{ 0, 0 });
+    }
+
+    TensorShape padded_shape = misc::shape_calculator::compute_padded_shape(orig_shape, paddings);
+
+    SimpleTensor<T> dst(padded_shape, dst_data_type);
+
+    // Reference algorithm: loop over the different dimension of the input.
+    for(int idx = 0; idx < dst.num_elements(); idx++)
+    {
+        Coordinates coord = index2coord(padded_shape, idx);
+
+        const size_t i = coord.x();
+        const size_t j = coord.y();
+        const size_t k = coord.z();
+        const size_t l = coord[3];
+        const size_t m = coord[4];
+        const size_t n = coord[5];
+
+        std::array<size_t, TensorShape::num_max_dimensions> dims   = { 0, 1, 2, 3, 4, 5 };
+        std::array<size_t, TensorShape::num_max_dimensions> coords = { i, j, k, l, m, n };
+        auto is_padding_area = [&](size_t i)
+        {
+            return (coords[i] < paddings_extended[i].first || coords[i] > orig_shape[i] + paddings_extended[i].first - 1);
+        };
+
+        // If the tuple [i,j,k,l,m] is in the padding area, then seimply set the value
+        if(std::any_of(dims.begin(), dims.end(), is_padding_area))
+        {
+            dst[idx] = T(0);
+        }
+        else
+        {
+            // If the tuple[i,j,k,l,m] is not in the padding area, then copy the input into the output
+
+            Coordinates orig_coords{ i - paddings_extended[0].first,
+                                     j - paddings_extended[1].first,
+                                     k - paddings_extended[2].first,
+                                     l - paddings_extended[3].first,
+                                     m - paddings_extended[4].first,
+                                     n - paddings_extended[5].first };
+
+            const size_t idx_src = coord2index(orig_shape, orig_coords);
+            dst[idx]             = src[idx_src];
+        }
+    }
+
+    return dst;
+}
+
+template SimpleTensor<float> pad_layer(const SimpleTensor<float> &src, const PaddingList &paddings);
+template SimpleTensor<half> pad_layer(const SimpleTensor<half> &src, const PaddingList &paddings);
+template SimpleTensor<uint32_t> pad_layer(const SimpleTensor<uint32_t> &src, const PaddingList &paddings);
+template SimpleTensor<uint8_t> pad_layer(const SimpleTensor<uint8_t> &src, const PaddingList &paddings);
+template SimpleTensor<int8_t> pad_layer(const SimpleTensor<int8_t> &src, const PaddingList &paddings);
+template SimpleTensor<uint16_t> pad_layer(const SimpleTensor<uint16_t> &src, const PaddingList &paddings);
+template SimpleTensor<int16_t> pad_layer(const SimpleTensor<int16_t> &src, const PaddingList &paddings);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation/reference/PadLayer.h b/tests/validation/reference/PadLayer.h
new file mode 100644
index 0000000000..9406b05c4d
--- /dev/null
+++ b/tests/validation/reference/PadLayer.h
@@ -0,0 +1,53 @@
+/*
+ * 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_PADLAYER_H__
+#define __ARM_COMPUTE_TEST_PADLAYER_H__
+
+#include "arm_compute/core/Types.h"
+#include "tests/SimpleTensor.h"
+#include "tests/validation/Helpers.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+/** Reference function to pad an ND tensor. This function is not supposed to be optimized, but to
+ * clearly and naively execute the padding of a tensor
+ *
+ * @param[in] src      Tensor to pad
+ * @param[in] paddings Padding size in each dimension
+ *
+ * @return The padded Tensor
+ */
+template <typename T>
+SimpleTensor<T> pad_layer(const SimpleTensor<T> &src, const PaddingList &paddings);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_TEST_PADLAYER_H__ */