COMPMID-424 Add CL validation tests for Box3x3
* Add tests for different border modes
* Add padding calculator
Change-Id: Ic4708faddfb1c8e6b59d349cf9cb48c9a181d717
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/78105
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Moritz Pflanzer <moritz.pflanzer@arm.com>
diff --git a/tests/validation/CL/BitwiseAnd.cpp b/tests/validation/CL/BitwiseAnd.cpp
index bbafa87..8b40aff 100644
--- a/tests/validation/CL/BitwiseAnd.cpp
+++ b/tests/validation/CL/BitwiseAnd.cpp
@@ -51,7 +51,7 @@
namespace
{
-/** Compute Neon bitwise and function.
+/** Compute CL bitwise and function.
*
* @param[in] shape Shape of the input and output tensors.
*
diff --git a/tests/validation/CL/Box3x3.cpp b/tests/validation/CL/Box3x3.cpp
new file mode 100644
index 0000000..fa60453
--- /dev/null
+++ b/tests/validation/CL/Box3x3.cpp
@@ -0,0 +1,165 @@
+/*
+ * 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/Helper.h"
+#include "Globals.h"
+#include "PaddingCalculator.h"
+#include "TensorLibrary.h"
+#include "TypePrinter.h"
+#include "Utils.h"
+#include "validation/Datasets.h"
+#include "validation/Reference.h"
+#include "validation/Validation.h"
+#include "validation/ValidationUserConfiguration.h"
+
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/CL/CLTensor.h"
+#include "arm_compute/runtime/CL/CLTensorAllocator.h"
+#include "arm_compute/runtime/CL/functions/CLBox3x3.h"
+
+#include "boost_wrapper.h"
+
+#include <random>
+#include <string>
+
+using namespace arm_compute;
+using namespace arm_compute::test;
+using namespace arm_compute::test::cl;
+using namespace arm_compute::test::validation;
+
+namespace
+{
+/** Compute CL box3x3 filter.
+ *
+ * @param[in] shape Shape of the input and output tensors.
+ * @param[in] border_mode BorderMode used by the input tensor.
+ * @param[in] constant_border_value Constant to use if @p border_mode == CONSTANT.
+ *
+ * @return Computed output tensor.
+ */
+CLTensor compute_box3x3(const TensorShape &shape, BorderMode border_mode, uint8_t constant_border_value)
+{
+ // Create tensors
+ CLTensor src = create_tensor(shape, DataType::U8);
+ CLTensor dst = create_tensor(shape, DataType::U8);
+
+ // Create and configure function
+ CLBox3x3 box3x3;
+ box3x3.configure(&src, &dst, border_mode, constant_border_value);
+
+ // Allocate tensors
+ src.allocator()->allocate();
+ dst.allocator()->allocate();
+
+ BOOST_TEST(!src.info()->is_resizable());
+ BOOST_TEST(!dst.info()->is_resizable());
+
+ // Fill tensors
+ library->fill_tensor_uniform(CLAccessor(src), 0);
+
+ // Compute function
+ box3x3.run();
+
+ return dst;
+}
+} // namespace
+
+#ifndef DOXYGEN_SKIP_THIS
+BOOST_AUTO_TEST_SUITE(CL)
+BOOST_AUTO_TEST_SUITE(Box3x3)
+
+BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly"))
+BOOST_DATA_TEST_CASE(Configuration, (SmallShapes() + LargeShapes()) * BorderModes(), shape, border_mode)
+{
+ // Create tensors
+ CLTensor src = create_tensor(shape, DataType::U8);
+ CLTensor dst = create_tensor(shape, DataType::U8);
+
+ BOOST_TEST(src.info()->is_resizable());
+ BOOST_TEST(dst.info()->is_resizable());
+
+ // Create and configure function
+ CLBox3x3 box3x3;
+ box3x3.configure(&src, &dst, border_mode);
+
+ // Validate valid region
+ const ValidRegion src_valid_region = shape_to_valid_region(shape);
+ const ValidRegion dst_valid_region = shape_to_valid_region(shape, border_mode == BorderMode::UNDEFINED, BorderSize(1));
+ validate(src.info()->valid_region(), src_valid_region);
+ validate(dst.info()->valid_region(), dst_valid_region);
+
+ // Validate padding
+ PaddingCalculator calculator(shape.x(), 8);
+ calculator.set_border_size(1);
+ calculator.set_border_mode(border_mode);
+
+ const PaddingSize dst_padding = calculator.required_padding();
+
+ calculator.set_accessed_elements(16);
+ calculator.set_access_offset(-1);
+
+ const PaddingSize src_padding = calculator.required_padding();
+
+ validate(src.info()->padding(), src_padding);
+ validate(dst.info()->padding(), dst_padding);
+}
+
+BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
+BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * BorderModes(), shape, border_mode)
+{
+ std::mt19937 gen(user_config.seed.get());
+ std::uniform_int_distribution<uint8_t> distribution(0, 255);
+ const uint8_t border_value = distribution(gen);
+
+ // Compute function
+ CLTensor dst = compute_box3x3(shape, border_mode, border_value);
+
+ // Compute reference
+ RawTensor ref_dst = Reference::compute_reference_box3x3(shape, border_mode, border_value);
+
+ // Validate output
+ validate(CLAccessor(dst), ref_dst, shape_to_valid_region(shape, border_mode == BorderMode::UNDEFINED, BorderSize(1)));
+}
+
+BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly"))
+BOOST_DATA_TEST_CASE(RunLarge, LargeShapes() * BorderModes(), shape, border_mode)
+{
+ std::mt19937 gen(user_config.seed.get());
+ std::uniform_int_distribution<uint8_t> distribution(0, 255);
+ const uint8_t border_value = distribution(gen);
+
+ // Compute function
+ CLTensor dst = compute_box3x3(shape, border_mode, border_value);
+
+ // Compute reference
+ RawTensor ref_dst = Reference::compute_reference_box3x3(shape, border_mode, border_value);
+
+ // Validate output
+ validate(CLAccessor(dst), ref_dst, shape_to_valid_region(shape, border_mode == BorderMode::UNDEFINED, BorderSize(1)));
+}
+
+BOOST_AUTO_TEST_SUITE_END()
+BOOST_AUTO_TEST_SUITE_END()
+#endif
diff --git a/tests/validation/CL/CMakeLists.txt b/tests/validation/CL/CMakeLists.txt
index 9b67d1d..44fde2f 100644
--- a/tests/validation/CL/CMakeLists.txt
+++ b/tests/validation/CL/CMakeLists.txt
@@ -29,9 +29,13 @@
${CMAKE_CURRENT_SOURCE_DIR}/CLFixture.h
${CMAKE_CURRENT_SOURCE_DIR}/CLFixture.cpp
${CMAKE_CURRENT_SOURCE_DIR}/BitwiseAnd.cpp
- ${CMAKE_CURRENT_SOURCE_DIR}/IntegralImage.cpp
+ ${CMAKE_CURRENT_SOURCE_DIR}/Box3x3.cpp
+ ${CMAKE_CURRENT_SOURCE_DIR}/DepthConvert.cpp
+ ${CMAKE_CURRENT_SOURCE_DIR}/FillBorder.cpp
+` ${CMAKE_CURRENT_SOURCE_DIR}/IntegralImage.cpp
${CMAKE_CURRENT_SOURCE_DIR}/Sobel3x3.cpp
${CMAKE_CURRENT_SOURCE_DIR}/Sobel5x5.cpp
+ ${CMAKE_CURRENT_SOURCE_DIR}/Threshold.cpp
)
add_library(arm_compute_test_validation_OPENCL OBJECT
diff --git a/tests/validation/NEON/Box3x3.cpp b/tests/validation/NEON/Box3x3.cpp
index b2a66cd..c051676 100644
--- a/tests/validation/NEON/Box3x3.cpp
+++ b/tests/validation/NEON/Box3x3.cpp
@@ -31,6 +31,7 @@
#include "validation/Datasets.h"
#include "validation/Reference.h"
#include "validation/Validation.h"
+#include "validation/ValidationUserConfiguration.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/Types.h"
@@ -51,21 +52,23 @@
namespace
{
-/** Compute Neon 3-by-3 box filter.
+/** Compute Neon box3x3 filter.
*
- * @param[in] shape Shape of the input and output tensors.
+ * @param[in] shape Shape of the input and output tensors.
+ * @param[in] border_mode BorderMode used by the input tensor.
+ * @param[in] constant_border_value Constant to use if @p border_mode == CONSTANT.
*
* @return Computed output tensor.
*/
-Tensor compute_box3x3(const TensorShape &shape)
+Tensor compute_box3x3(const TensorShape &shape, BorderMode border_mode, uint8_t constant_border_value)
{
// Create tensors
Tensor src = create_tensor(shape, DataType::U8);
Tensor dst = create_tensor(shape, DataType::U8);
// Create and configure function
- NEBox3x3 band;
- band.configure(&src, &dst, BorderMode::UNDEFINED);
+ NEBox3x3 box3x3;
+ box3x3.configure(&src, &dst, border_mode, constant_border_value);
// Allocate tensors
src.allocator()->allocate();
@@ -78,7 +81,7 @@
library->fill_tensor_uniform(NEAccessor(src), 0);
// Compute function
- band.run();
+ box3x3.run();
return dst;
}
@@ -89,7 +92,7 @@
BOOST_AUTO_TEST_SUITE(Box3x3)
BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly"))
-BOOST_DATA_TEST_CASE(Configuration, SmallShapes() + LargeShapes(), shape)
+BOOST_DATA_TEST_CASE(Configuration, (SmallShapes() + LargeShapes()) * BorderModes(), shape, border_mode)
{
// Create tensors
Tensor src = create_tensor(shape, DataType::U8);
@@ -99,18 +102,19 @@
BOOST_TEST(dst.info()->is_resizable());
// Create and configure function
- NEBox3x3 band;
- band.configure(&src, &dst, BorderMode::UNDEFINED);
+ NEBox3x3 box3x3;
+ box3x3.configure(&src, &dst, border_mode);
// Validate valid region
const ValidRegion src_valid_region = shape_to_valid_region(shape);
- const ValidRegion dst_valid_region = shape_to_valid_region_undefined_border(shape, BorderSize(1));
+ const ValidRegion dst_valid_region = shape_to_valid_region(shape, border_mode == BorderMode::UNDEFINED, BorderSize(1));
validate(src.info()->valid_region(), src_valid_region);
validate(dst.info()->valid_region(), dst_valid_region);
// Validate padding
PaddingCalculator calculator(shape.x(), 8);
calculator.set_border_size(1);
+ calculator.set_border_mode(border_mode);
const PaddingSize dst_padding = calculator.required_padding();
@@ -124,29 +128,37 @@
}
BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
-BOOST_DATA_TEST_CASE(RunSmall, SmallShapes(), shape)
+BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * BorderModes(), shape, border_mode)
{
+ std::mt19937 gen(user_config.seed.get());
+ std::uniform_int_distribution<uint8_t> distribution(0, 255);
+ const uint8_t border_value = distribution(gen);
+
// Compute function
- Tensor dst = compute_box3x3(shape);
+ Tensor dst = compute_box3x3(shape, border_mode, border_value);
// Compute reference
- RawTensor ref_dst = Reference::compute_reference_box3x3(shape);
+ RawTensor ref_dst = Reference::compute_reference_box3x3(shape, border_mode, border_value);
// Validate output
- validate(NEAccessor(dst), ref_dst, shape_to_valid_region_undefined_border(shape, BorderSize(1)));
+ validate(NEAccessor(dst), ref_dst, shape_to_valid_region(shape, border_mode == BorderMode::UNDEFINED, BorderSize(1)));
}
BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly"))
-BOOST_DATA_TEST_CASE(RunLarge, LargeShapes(), shape)
+BOOST_DATA_TEST_CASE(RunLarge, LargeShapes() * BorderModes(), shape, border_mode)
{
+ std::mt19937 gen(user_config.seed.get());
+ std::uniform_int_distribution<uint8_t> distribution(0, 255);
+ const uint8_t border_value = distribution(gen);
+
// Compute function
- Tensor dst = compute_box3x3(shape);
+ Tensor dst = compute_box3x3(shape, border_mode, border_value);
// Compute reference
- RawTensor ref_dst = Reference::compute_reference_box3x3(shape);
+ RawTensor ref_dst = Reference::compute_reference_box3x3(shape, border_mode, border_value);
// Validate output
- validate(NEAccessor(dst), ref_dst, shape_to_valid_region_undefined_border(shape, BorderSize(1)));
+ validate(NEAccessor(dst), ref_dst, shape_to_valid_region(shape, border_mode == BorderMode::UNDEFINED, BorderSize(1)));
}
BOOST_AUTO_TEST_SUITE_END()
diff --git a/tests/validation/NEON/CMakeLists.txt b/tests/validation/NEON/CMakeLists.txt
index 86bcce7..d928362 100644
--- a/tests/validation/NEON/CMakeLists.txt
+++ b/tests/validation/NEON/CMakeLists.txt
@@ -30,21 +30,31 @@
${CMAKE_CURRENT_SOURCE_DIR}/AccumulateWeighted.cpp
${CMAKE_CURRENT_SOURCE_DIR}/ArithmeticAddition.cpp
${CMAKE_CURRENT_SOURCE_DIR}/ArithmeticSubtraction.cpp
+ ${CMAKE_CURRENT_SOURCE_DIR}/BatchNormalizationLayer.cpp
${CMAKE_CURRENT_SOURCE_DIR}/BitwiseAnd.cpp
${CMAKE_CURRENT_SOURCE_DIR}/BitwiseNot.cpp
${CMAKE_CURRENT_SOURCE_DIR}/BitwiseOr.cpp
${CMAKE_CURRENT_SOURCE_DIR}/BitwiseXor.cpp
${CMAKE_CURRENT_SOURCE_DIR}/Box3x3.cpp
+ ${CMAKE_CURRENT_SOURCE_DIR}/ConvolutionLayer.cpp
+ ${CMAKE_CURRENT_SOURCE_DIR}/ConvolutionLayerDirect.cpp
+ ${CMAKE_CURRENT_SOURCE_DIR}/DepthConvert.cpp
+ ${CMAKE_CURRENT_SOURCE_DIR}/FillBorder.cpp
${CMAKE_CURRENT_SOURCE_DIR}/Fixedpoint/Exp_QS8.cpp
${CMAKE_CURRENT_SOURCE_DIR}/Fixedpoint/Invsqrt_QS8.cpp
${CMAKE_CURRENT_SOURCE_DIR}/Fixedpoint/Log_QS8.cpp
${CMAKE_CURRENT_SOURCE_DIR}/Fixedpoint/Reciprocal_QS8.cpp
+ ${CMAKE_CURRENT_SOURCE_DIR}/FullyConnectedLayer.cpp
+ ${CMAKE_CURRENT_SOURCE_DIR}/GEMM.cpp
+ ${CMAKE_CURRENT_SOURCE_DIR}/IntegralImage.cpp
${CMAKE_CURRENT_SOURCE_DIR}/NormalizationLayer.cpp
${CMAKE_CURRENT_SOURCE_DIR}/PixelWiseMultiplication.cpp
- ${CMAKE_CURRENT_SOURCE_DIR}/IntegralImage.cpp
${CMAKE_CURRENT_SOURCE_DIR}/MeanStdDev.cpp
+ ${CMAKE_CURRENT_SOURCE_DIR}/Pooling/PoolingLayer.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
)
add_library(arm_compute_test_validation_NEON OBJECT
diff --git a/tests/validation/Reference.cpp b/tests/validation/Reference.cpp
index be3f28b..cab9d51 100644
--- a/tests/validation/Reference.cpp
+++ b/tests/validation/Reference.cpp
@@ -266,7 +266,7 @@
return ref_dst;
}
-RawTensor Reference::compute_reference_box3x3(const TensorShape &shape)
+RawTensor Reference::compute_reference_box3x3(const TensorShape &shape, BorderMode border_mode, uint8_t constant_border_value)
{
// Create reference
RawTensor ref_src = library->get(shape, DataType::U8);
@@ -276,7 +276,7 @@
library->fill_tensor_uniform(ref_src, 0);
// Compute reference
- ReferenceCPP::box3x3(ref_src, ref_dst);
+ ReferenceCPP::box3x3(ref_src, ref_dst, border_mode, constant_border_value);
return ref_dst;
}
diff --git a/tests/validation/Reference.h b/tests/validation/Reference.h
index 4cfd3c2..973322d 100644
--- a/tests/validation/Reference.h
+++ b/tests/validation/Reference.h
@@ -152,13 +152,15 @@
* @return Computed raw tensor.
*/
static RawTensor compute_reference_bitwise_not(const TensorShape &shape);
- /** Compute reference 3-by-3 box filter.
+ /** Compute reference box3x3 filter.
*
- * @param[in] shape Shape of the input and output tensors.
+ * @param[in] shape Shape of the input and output tensors.
+ * @param[in] border_mode BorderMode used by the input tensor.
+ * @param[in] constant_border_value Constant to use if @p border_mode == CONSTANT.
*
* @return Computed raw tensor.
*/
- static RawTensor compute_reference_box3x3(const TensorShape &shape);
+ static RawTensor compute_reference_box3x3(const TensorShape &shape, BorderMode border_mode, uint8_t constant_border_value);
/** Compute reference depth convert.
*
* @param[in] shape Shape of the input and output tensors.
diff --git a/tests/validation/ReferenceCPP.cpp b/tests/validation/ReferenceCPP.cpp
index ca6bb6c..15e6bac 100644
--- a/tests/validation/ReferenceCPP.cpp
+++ b/tests/validation/ReferenceCPP.cpp
@@ -178,13 +178,13 @@
tensor_operations::bitwise_not(s, d);
}
-// 3-by-3 box filter
-void ReferenceCPP::box3x3(const RawTensor &src, RawTensor &dst)
+// Box3x3 filter
+void ReferenceCPP::box3x3(const RawTensor &src, RawTensor &dst, BorderMode border_mode, uint8_t constant_border_value)
{
ARM_COMPUTE_ERROR_ON(src.data_type() != DataType::U8 || dst.data_type() != DataType::U8);
const Tensor<uint8_t> s(src.shape(), src.data_type(), src.fixed_point_position(), reinterpret_cast<const uint8_t *>(src.data()));
Tensor<uint8_t> d(dst.shape(), dst.data_type(), dst.fixed_point_position(), reinterpret_cast<uint8_t *>(dst.data()));
- tensor_operations::box3x3(s, d);
+ tensor_operations::box3x3(s, d, border_mode, constant_border_value);
}
// Depth conversion
diff --git a/tests/validation/ReferenceCPP.h b/tests/validation/ReferenceCPP.h
index b5e3fa0..aeafa76 100644
--- a/tests/validation/ReferenceCPP.h
+++ b/tests/validation/ReferenceCPP.h
@@ -145,12 +145,14 @@
* @param[out] dst Result tensor.
*/
static void bitwise_not(const RawTensor &src, RawTensor &dst);
- /** Function to compute 3-by-3 box filtered result tensor.
+ /** Function to compute box3x3 filtered result tensor.
*
- * @param[in] src Input tensor.
- * @param[out] dst Result tensor.
+ * @param[in] src Input tensor.
+ * @param[out] dst Result tensor.
+ * @param[in] border_mode Border mode.
+ * @param[in] constant_border_value Constant border value if @p border_mode is BorderMode::CONSTANT.
*/
- static void box3x3(const RawTensor &src, RawTensor &dst);
+ static void box3x3(const RawTensor &src, RawTensor &dst, BorderMode border_mode, uint8_t constant_border_value);
/** Depth conversion from @p src to @p dst
*
* @param[in] src First tensor.
diff --git a/tests/validation/TensorOperations.h b/tests/validation/TensorOperations.h
index fce2575..5695593 100644
--- a/tests/validation/TensorOperations.h
+++ b/tests/validation/TensorOperations.h
@@ -201,6 +201,7 @@
}
}
+// Return a tensor element at a specified coordinate with different border modes
template <typename T, typename std::enable_if<std::is_integral<T>::value, int>::type = 0>
T tensor_elem_at(const Tensor<T> &in, Coordinates &coord, BorderMode border_mode, T constant_border_value)
{
@@ -209,14 +210,10 @@
const int width = static_cast<int>(in.shape().x());
const int height = static_cast<int>(in.shape().y());
- // If on border
+ // If coordinates beyond range of tensor's width or height
if(x < 0 || y < 0 || x >= width || y >= height)
{
- if(border_mode == BorderMode::CONSTANT)
- {
- return constant_border_value;
- }
- else if(border_mode == BorderMode::REPLICATE)
+ if(border_mode == BorderMode::REPLICATE)
{
coord.set(0, std::max(0, std::min(x, width - 1)));
coord.set(1, std::max(0, std::min(y, height - 1)));
@@ -224,10 +221,7 @@
}
else
{
- // Return a random value if on border and border_mode == UNDEFINED
- std::mt19937 gen(user_config.seed.get());
- std::uniform_int_distribution<T> distribution(0, 255);
- return distribution(gen);
+ return constant_border_value;
}
}
else
@@ -257,8 +251,7 @@
{
coord.set(0, i);
coord.set(1, j);
- double pixel_to_multiply = tensor_elem_at(in, coord, border_mode, constant_border_value);
- val += static_cast<double>(*filter_itr) * pixel_to_multiply;
+ val += static_cast<double>(*filter_itr) * tensor_elem_at(in, coord, border_mode, constant_border_value);
++filter_itr;
}
}
@@ -508,20 +501,16 @@
}
}
-// 3-by-3 box filter
+// Box3x3 filter
template <typename T, typename = typename std::enable_if<std::is_integral<T>::value>::type>
-void box3x3(const Tensor<T> &in, Tensor<T> &out)
+void box3x3(const Tensor<T> &in, Tensor<T> &out, BorderMode border_mode, T constant_border_value)
{
const std::array<T, 9> filter{ { 1, 1, 1, 1, 1, 1, 1, 1, 1 } };
- float scale = 1.f / static_cast<float>(filter.size());
- const ValidRegion valid_region = shape_to_valid_region_undefined_border(in.shape(), BorderSize(1));
+ float scale = 1.f / static_cast<float>(filter.size());
for(int element_idx = 0; element_idx < in.num_elements(); ++element_idx)
{
const Coordinates id = index2coord(in.shape(), element_idx);
- if(is_in_valid_region(valid_region, id))
- {
- apply_2d_spatial_filter(id, in, out, TensorShape(3U, 3U), filter.data(), scale, BorderMode::UNDEFINED);
- }
+ apply_2d_spatial_filter(id, in, out, TensorShape(3U, 3U), filter.data(), scale, border_mode, constant_border_value);
}
}