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authorIsabella Gottardi <isabella.gottardi@arm.com>2017-08-29 13:47:03 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:35:24 +0000
commit83be745adba7a9928c03beda65a6a83f14846475 (patch)
tree3a95d8ec8dc853256e469dadba4dd57360db57d7 /tests
parentab60fe8cd25232fdefef95b86e18482343f9d05f (diff)
downloadComputeLibrary-83be745adba7a9928c03beda65a6a83f14846475.tar.gz
COMPMID-424 Implemented reference implementation and tests for WarpAffine
Change-Id: I4924ab1de17adc3b880a5cc22f2497abbc8e221b Reviewed-on: http://mpd-gerrit.cambridge.arm.com/85820 Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com> Reviewed-by: Steven Niu <steven.niu@arm.com>
Diffstat (limited to 'tests')
-rw-r--r--tests/validation/CL/WarpAffine.cpp120
-rw-r--r--tests/validation/CPP/Utils.h26
-rw-r--r--tests/validation/CPP/WarpAffine.cpp135
-rw-r--r--tests/validation/CPP/WarpAffine.h43
-rw-r--r--tests/validation/NEON/WarpAffine.cpp120
-rw-r--r--tests/validation/Validation.h78
-rw-r--r--tests/validation/fixtures/WarpAffineFixture.h121
7 files changed, 643 insertions, 0 deletions
diff --git a/tests/validation/CL/WarpAffine.cpp b/tests/validation/CL/WarpAffine.cpp
new file mode 100644
index 0000000000..9177fcb5a7
--- /dev/null
+++ b/tests/validation/CL/WarpAffine.cpp
@@ -0,0 +1,120 @@
+/*
+ * 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/Types.h"
+#include "arm_compute/core/Utils.h"
+#include "arm_compute/runtime/CL/functions/CLWarpAffine.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "arm_compute/runtime/TensorAllocator.h"
+#include "tests/AssetsLibrary.h"
+#include "tests/CL/CLAccessor.h"
+#include "tests/PaddingCalculator.h"
+#include "tests/datasets/BorderModeDataset.h"
+#include "tests/datasets/InterpolationPolicyDataset.h"
+#include "tests/datasets/ShapeDatasets.h"
+#include "tests/framework/Asserts.h"
+#include "tests/framework/Macros.h"
+#include "tests/framework/datasets/Datasets.h"
+#include "tests/validation/CPP/Utils.h"
+#include "tests/validation/Validation.h"
+#include "tests/validation/fixtures/WarpAffineFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace
+{
+/** Tolerance */
+constexpr AbsoluteTolerance<uint8_t> tolerance(1);
+} // namespace
+
+TEST_SUITE(CL)
+TEST_SUITE(WarpAffine)
+
+DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType", DataType::U8)),
+ framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
+ datasets::BorderModes()),
+ shape, data_type, policy, border_mode)
+{
+ // Generate a random constant value if border_mode is constant
+ std::mt19937 gen(library->seed());
+ std::uniform_int_distribution<uint8_t> distribution_u8(0, 255);
+ uint8_t constant_border_value = distribution_u8(gen);
+
+ // Create the matrix
+ std::array<float, 6> matrix{ {} };
+ fill_warp_matrix<6>(matrix, 3, 2);
+
+ // Create tensors
+ CLTensor src = create_tensor<CLTensor>(shape, data_type);
+ CLTensor dst = create_tensor<CLTensor>(shape, data_type);
+
+ ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+ // Create and configure function
+ CLWarpAffine warp_affine;
+ warp_affine.configure(&src, &dst, matrix.data(), policy, border_mode, constant_border_value);
+
+ // Validate valid region
+ const ValidRegion valid_region = shape_to_valid_region(shape);
+
+ validate(src.info()->valid_region(), valid_region);
+ validate(dst.info()->valid_region(), valid_region);
+
+ // Validate padding
+ int total_right = ceil_to_multiple(shape[0], 4);
+ const int access_right = total_right + (((total_right - shape[0]) == 0) ? 1 : 0);
+ const PaddingSize read_padding(1, access_right - shape[0], 1, 1);
+ validate(src.info()->padding(), read_padding);
+
+ PaddingCalculator calculator(shape.x(), 4);
+ validate(dst.info()->padding(), calculator.required_padding());
+}
+
+template <typename T>
+using CLWarpAffineFixture = WarpAffineValidationFixture<CLTensor, CLAccessor, CLWarpAffine, T>;
+
+FIXTURE_DATA_TEST_CASE(RunSmall, CLWarpAffineFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::U8)),
+ framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
+ datasets::BorderModes()))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference, _valid_mask, tolerance, 0.02f);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, CLWarpAffineFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::U8)),
+ framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
+ datasets::BorderModes()))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference, _valid_mask, tolerance, 0.02f);
+}
+
+TEST_SUITE_END()
+TEST_SUITE_END()
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation/CPP/Utils.h b/tests/validation/CPP/Utils.h
index 91d1afe1d7..e9a0f09847 100644
--- a/tests/validation/CPP/Utils.h
+++ b/tests/validation/CPP/Utils.h
@@ -100,6 +100,32 @@ void apply_2d_spatial_filter(Coordinates coord, const SimpleTensor<T> &src, Simp
}
RawTensor transpose(const RawTensor &src, int chunk_width = 1);
+
+/** Fill matrix random.
+ *
+ * @param[in,out] matrix Matrix
+ * @param[in] cols Columns (width) of matrix
+ * @param[in] rows Rows (height) of matrix
+ */
+template <std::size_t SIZE>
+inline void fill_warp_matrix(std::array<float, SIZE> &matrix, int cols, int rows)
+{
+ std::mt19937 gen(library.get()->seed());
+ std::uniform_real_distribution<float> dist(-1, 1);
+
+ for(int v = 0, r = 0; r < rows; ++r)
+ {
+ for(int c = 0; c < cols; ++c, ++v)
+ {
+ matrix[v] = dist(gen);
+ }
+ }
+ if(SIZE == 9)
+ {
+ matrix[(cols * rows) - 1] = 1;
+ }
+}
+
} // namespace validation
} // namespace test
} // namespace arm_compute
diff --git a/tests/validation/CPP/WarpAffine.cpp b/tests/validation/CPP/WarpAffine.cpp
new file mode 100644
index 0000000000..7b903b7661
--- /dev/null
+++ b/tests/validation/CPP/WarpAffine.cpp
@@ -0,0 +1,135 @@
+/*
+ * 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 "WarpAffine.h"
+
+#include "Utils.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+bool valid_bilinear_policy(float xn, float yn, int width, int height, BorderMode border_mode)
+{
+ if(border_mode != BorderMode::UNDEFINED)
+ {
+ return true;
+ }
+ if((0 <= yn + 1) && (yn + 1 < height) && (0 <= xn + 1) && (xn + 1 < width))
+ {
+ return true;
+ }
+ return false;
+}
+
+template <typename T>
+SimpleTensor<T> warp_affine(const SimpleTensor<T> &src, SimpleTensor<T> &valid_mask, const float *matrix, InterpolationPolicy policy, BorderMode border_mode, uint8_t constant_border_value)
+{
+ SimpleTensor<T> dst(src.shape(), src.data_type());
+
+ // x0 = M00 * x + M01 * y + M02
+ // y0 = M10 * x + M11 * y + M12
+ const float M00 = matrix[0];
+ const float M10 = matrix[1];
+ const float M01 = matrix[0 + 1 * 2];
+ const float M11 = matrix[1 + 1 * 2];
+ const float M02 = matrix[0 + 2 * 2];
+ const float M12 = matrix[1 + 2 * 2];
+
+ const int width = src.shape().x();
+ const int height = src.shape().y();
+
+ for(int element_idx = 0; element_idx < src.num_elements(); ++element_idx)
+ {
+ valid_mask[element_idx] = 1;
+ Coordinates id = index2coord(src.shape(), element_idx);
+ int idx = id.x();
+ int idy = id.y();
+
+ float x0 = M00 * idx + M01 * idy + M02;
+ float y0 = M10 * idx + M11 * idy + M12;
+
+ id.set(0, static_cast<int>(std::floor(x0)));
+ id.set(1, static_cast<int>(std::floor(y0)));
+ if((0 <= y0) && (y0 < height) && (0 <= x0) && (x0 < width))
+ {
+ switch(policy)
+ {
+ case InterpolationPolicy::NEAREST_NEIGHBOR:
+ dst[element_idx] = tensor_elem_at(src, id, border_mode, constant_border_value);
+ break;
+ case InterpolationPolicy::BILINEAR:
+ (valid_bilinear_policy(x0, y0, width, height, border_mode)) ? dst[element_idx] = bilinear_policy(src, id, x0, y0, border_mode, constant_border_value) :
+ valid_mask[element_idx] = 0;
+ break;
+ case InterpolationPolicy::AREA:
+ default:
+ ARM_COMPUTE_ERROR("Interpolation not supported");
+ }
+ }
+ else
+ {
+ if(border_mode == BorderMode::UNDEFINED)
+ {
+ valid_mask[element_idx] = 0;
+ }
+ else
+ {
+ switch(policy)
+ {
+ case InterpolationPolicy::NEAREST_NEIGHBOR:
+ if(border_mode == BorderMode::CONSTANT)
+ {
+ dst[element_idx] = constant_border_value;
+ }
+ else if(border_mode == BorderMode::REPLICATE)
+ {
+ id.set(0, std::max(0, std::min(static_cast<int>(x0), width - 1)));
+ id.set(1, std::max(0, std::min(static_cast<int>(y0), height - 1)));
+ dst[element_idx] = src[coord2index(src.shape(), id)];
+ }
+ break;
+ case InterpolationPolicy::BILINEAR:
+ dst[element_idx] = bilinear_policy(src, id, x0, y0, border_mode, constant_border_value);
+ break;
+ case InterpolationPolicy::AREA:
+ default:
+ ARM_COMPUTE_ERROR("Interpolation not supported");
+ }
+ }
+ }
+ }
+
+ return dst;
+}
+
+template SimpleTensor<uint8_t> warp_affine(const SimpleTensor<uint8_t> &src, SimpleTensor<uint8_t> &valid_mask, const float *matrix, InterpolationPolicy policy, BorderMode border_mode,
+ uint8_t constant_border_value);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute \ No newline at end of file
diff --git a/tests/validation/CPP/WarpAffine.h b/tests/validation/CPP/WarpAffine.h
new file mode 100644
index 0000000000..973b1b2e29
--- /dev/null
+++ b/tests/validation/CPP/WarpAffine.h
@@ -0,0 +1,43 @@
+/*
+ * 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_WARP_AFFINE_H__
+#define __ARM_COMPUTE_TEST_WARP_AFFINE_H__
+
+#include "tests/SimpleTensor.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+template <typename T>
+SimpleTensor<T> warp_affine(const SimpleTensor<T> &src, SimpleTensor<T> &valid_mask, const float *matrix, InterpolationPolicy policy, BorderMode border_mode, uint8_t constant_border_value);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_TEST_WARP_AFFINE_H__ */
diff --git a/tests/validation/NEON/WarpAffine.cpp b/tests/validation/NEON/WarpAffine.cpp
new file mode 100644
index 0000000000..1b52f9f07c
--- /dev/null
+++ b/tests/validation/NEON/WarpAffine.cpp
@@ -0,0 +1,120 @@
+/*
+ * 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/Types.h"
+#include "arm_compute/runtime/NEON/functions/NEWarpAffine.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "arm_compute/runtime/TensorAllocator.h"
+#include "tests/AssetsLibrary.h"
+#include "tests/NEON/Accessor.h"
+#include "tests/PaddingCalculator.h"
+#include "tests/datasets/BorderModeDataset.h"
+#include "tests/datasets/InterpolationPolicyDataset.h"
+#include "tests/datasets/ShapeDatasets.h"
+#include "tests/framework/Asserts.h"
+#include "tests/framework/Macros.h"
+#include "tests/framework/datasets/Datasets.h"
+#include "tests/validation/CPP/Utils.h"
+#include "tests/validation/Validation.h"
+#include "tests/validation/fixtures/WarpAffineFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace
+{
+/** Tolerance */
+constexpr AbsoluteTolerance<uint8_t> tolerance(1);
+} // namespace
+
+TEST_SUITE(NEON)
+TEST_SUITE(WarpAffine)
+
+DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType", DataType::U8)),
+ framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
+ datasets::BorderModes()),
+ shape, data_type, policy, border_mode)
+{
+ // Generate a random constant value if border_mode is constant
+ std::mt19937 gen(library->seed());
+ std::uniform_int_distribution<uint8_t> distribution_u8(0, 255);
+ uint8_t constant_border_value = distribution_u8(gen);
+
+ // Create the matrix
+ std::array<float, 6> matrix{ {} };
+ fill_warp_matrix<6>(matrix, 3, 2);
+
+ // Create tensors
+ Tensor src = create_tensor<Tensor>(shape, data_type);
+ Tensor dst = create_tensor<Tensor>(shape, data_type);
+
+ ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+ // Create and configure function
+ NEWarpAffine warp_affine;
+ warp_affine.configure(&src, &dst, matrix.data(), policy, border_mode, constant_border_value);
+
+ // Validate valid region
+ const ValidRegion valid_region = shape_to_valid_region(shape);
+
+ validate(dst.info()->valid_region(), valid_region);
+
+ // Validate padding
+ PaddingCalculator calculator(shape.x(), 1);
+ calculator.set_border_mode(border_mode);
+ calculator.set_border_size(1);
+
+ const PaddingSize read_padding(1);
+ const PaddingSize write_padding = calculator.required_padding();
+
+ validate(src.info()->padding(), read_padding);
+ validate(dst.info()->padding(), write_padding);
+}
+
+template <typename T>
+using NEWarpAffineFixture = WarpAffineValidationFixture<Tensor, Accessor, NEWarpAffine, T>;
+
+FIXTURE_DATA_TEST_CASE(RunSmall, NEWarpAffineFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::U8)),
+ framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
+ datasets::BorderModes()))
+{
+ // Validate output
+ validate(Accessor(_target), _reference, _valid_mask, tolerance, 0.02f);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, NEWarpAffineFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::U8)),
+ framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
+ datasets::BorderModes()))
+{
+ // Validate output
+ validate(Accessor(_target), _reference, _valid_mask, tolerance, 0.02f);
+}
+
+TEST_SUITE_END()
+TEST_SUITE_END()
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation/Validation.h b/tests/validation/Validation.h
index 5e5dab0040..f220224991 100644
--- a/tests/validation/Validation.h
+++ b/tests/validation/Validation.h
@@ -188,6 +188,19 @@ void validate(const IAccessor &tensor, const SimpleTensor<T> &reference, U toler
template <typename T, typename U = AbsoluteTolerance<T>>
void validate(const IAccessor &tensor, const SimpleTensor<T> &reference, const ValidRegion &valid_region, U tolerance_value = U(), float tolerance_number = 0.f);
+/** Validate tensors with valid mask.
+ *
+ * - Dimensionality has to be the same.
+ * - All values have to match.
+ *
+ * @note: wrap_range allows cases where reference tensor rounds up to the wrapping point, causing it to wrap around to
+ * zero while the test tensor stays at wrapping point to pass. This may permit true erroneous cases (difference between
+ * reference tensor and test tensor is multiple of wrap_range), but such errors would be detected by
+ * other test cases.
+ */
+template <typename T, typename U = AbsoluteTolerance<T>>
+void validate(const IAccessor &tensor, const SimpleTensor<T> &reference, const SimpleTensor<T> &valid_mask, U tolerance_value = U(), float tolerance_number = 0.f);
+
/** Validate tensors against constant value.
*
* - All values have to match.
@@ -435,6 +448,71 @@ void validate_keypoints(T target_first, T target_last, U reference_first, U refe
}
template <typename T, typename U>
+void validate(const IAccessor &tensor, const SimpleTensor<T> &reference, const SimpleTensor<T> &valid_mask, U tolerance_value, float tolerance_number)
+{
+ int64_t num_mismatches = 0;
+ int64_t num_elements = 0;
+
+ ARM_COMPUTE_EXPECT_EQUAL(tensor.element_size(), reference.element_size(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_EXPECT_EQUAL(tensor.data_type(), reference.data_type(), framework::LogLevel::ERRORS);
+
+ if(reference.format() != Format::UNKNOWN)
+ {
+ ARM_COMPUTE_EXPECT_EQUAL(tensor.format(), reference.format(), framework::LogLevel::ERRORS);
+ }
+
+ ARM_COMPUTE_EXPECT_EQUAL(tensor.num_channels(), reference.num_channels(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_EXPECT(compare_dimensions(tensor.shape(), reference.shape()), framework::LogLevel::ERRORS);
+
+ const int min_elements = std::min(tensor.num_elements(), reference.num_elements());
+ const int min_channels = std::min(tensor.num_channels(), reference.num_channels());
+
+ // Iterate over all elements within valid region, e.g. U8, S16, RGB888, ...
+ for(int element_idx = 0; element_idx < min_elements; ++element_idx)
+ {
+ const Coordinates id = index2coord(reference.shape(), element_idx);
+
+ if(valid_mask[element_idx] == 1)
+ {
+ // Iterate over all channels within one element
+ for(int c = 0; c < min_channels; ++c)
+ {
+ const T &target_value = reinterpret_cast<const T *>(tensor(id))[c];
+ const T &reference_value = reinterpret_cast<const T *>(reference(id))[c];
+
+ if(!compare<U>(target_value, reference_value, tolerance_value))
+ {
+ ARM_COMPUTE_TEST_INFO("id = " << id);
+ ARM_COMPUTE_TEST_INFO("channel = " << c);
+ ARM_COMPUTE_TEST_INFO("target = " << std::setprecision(5) << framework::make_printable(target_value));
+ ARM_COMPUTE_TEST_INFO("reference = " << std::setprecision(5) << framework::make_printable(reference_value));
+ ARM_COMPUTE_TEST_INFO("tolerance = " << std::setprecision(5) << framework::make_printable(static_cast<typename U::value_type>(tolerance_value)));
+ framework::ARM_COMPUTE_PRINT_INFO();
+
+ ++num_mismatches;
+ }
+
+ ++num_elements;
+ }
+ }
+ else
+ {
+ ++num_elements;
+ }
+ }
+
+ if(num_elements > 0)
+ {
+ const int64_t absolute_tolerance_number = tolerance_number * num_elements;
+ const float percent_mismatches = static_cast<float>(num_mismatches) / num_elements * 100.f;
+
+ ARM_COMPUTE_TEST_INFO(num_mismatches << " values (" << std::fixed << std::setprecision(2) << percent_mismatches
+ << "%) mismatched (maximum tolerated " << std::setprecision(2) << tolerance_number << "%)");
+ ARM_COMPUTE_EXPECT(num_mismatches <= absolute_tolerance_number, framework::LogLevel::ERRORS);
+ }
+}
+
+template <typename T, typename U>
bool validate(T target, T reference, U tolerance)
{
ARM_COMPUTE_TEST_INFO("reference = " << std::setprecision(5) << framework::make_printable(reference));
diff --git a/tests/validation/fixtures/WarpAffineFixture.h b/tests/validation/fixtures/WarpAffineFixture.h
new file mode 100644
index 0000000000..3b106e15d6
--- /dev/null
+++ b/tests/validation/fixtures/WarpAffineFixture.h
@@ -0,0 +1,121 @@
+/*
+ * 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_WARP_AFFINE_FIXTURE
+#define ARM_COMPUTE_TEST_WARP_AFFINE_FIXTURE
+
+#include <memory>
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.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/CPP/Utils.h"
+#include "tests/validation/CPP/WarpAffine.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class WarpAffineValidationFixture : public framework::Fixture
+{
+public:
+ template <typename...>
+ void setup(TensorShape shape, DataType data_type, InterpolationPolicy policy, BorderMode border_mode)
+ {
+ // Generate a random constant value if border_mode is constant
+ std::mt19937 gen(library->seed());
+ std::uniform_int_distribution<uint8_t> distribution_u8(0, 255);
+ uint8_t constant_border_value = distribution_u8(gen);
+
+ // Create the matrix
+ std::array<float, 6> matrix{ {} };
+ fill_warp_matrix<6>(matrix, 3, 2);
+
+ _target = compute_target(shape, data_type, matrix.data(), policy, border_mode, constant_border_value);
+ _reference = compute_reference(shape, data_type, matrix.data(), policy, border_mode, constant_border_value);
+ }
+
+protected:
+ template <typename U>
+ void fill(U &&tensor)
+ {
+ library->fill_tensor_uniform(tensor, 0);
+ }
+
+ TensorType compute_target(const TensorShape &shape, DataType data_type, const float *matrix, InterpolationPolicy policy, BorderMode border_mode, uint8_t constant_border_value)
+ {
+ // Create tensors
+ TensorType src = create_tensor<TensorType>(shape, data_type);
+ TensorType dst = create_tensor<TensorType>(shape, data_type);
+
+ // Create and configure function
+ FunctionType warp_affine;
+ warp_affine.configure(&src, &dst, matrix, policy, border_mode, constant_border_value);
+
+ 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
+ warp_affine.run();
+
+ return dst;
+ }
+
+ SimpleTensor<T> compute_reference(const TensorShape &shape, DataType data_type, const float *matrix, InterpolationPolicy policy, BorderMode border_mode, uint8_t constant_border_value)
+ {
+ // Create reference
+ SimpleTensor<T> src{ shape, data_type };
+
+ // Create the valid mask Tensor
+ _valid_mask = SimpleTensor<T>(shape, data_type);
+
+ // Fill reference
+ fill(src);
+
+ return reference::warp_affine<T>(src, _valid_mask, matrix, policy, border_mode, constant_border_value);
+ }
+
+ TensorType _target{};
+ SimpleTensor<T> _reference{};
+ SimpleTensor<T> _valid_mask{};
+};
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_WARP_AFFINE_FIXTURE */ \ No newline at end of file