arm_compute v17.03.1
diff --git a/examples/neon_convolution.cpp b/examples/neon_convolution.cpp
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+/*
+ * Copyright (c) 2016, 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/runtime/NEON/NEFunctions.h"
+
+#include "arm_compute/core/Types.h"
+#include "test_helpers/Utils.h"
+
+using namespace arm_compute;
+using namespace test_helpers;
+
+/** Gaussian 3x3 matrix
+ */
+const int16_t gaussian3x3[] =
+{
+ 1, 2, 1,
+ 2, 4, 2,
+ 1, 2, 1
+};
+
+/** Gaussian 5x5 matrix
+ */
+const int16_t gaussian5x5[] =
+{
+ 1, 4, 6, 4, 1,
+ 4, 16, 24, 16, 4,
+ 6, 24, 36, 24, 6,
+ 4, 16, 24, 16, 4,
+ 1, 4, 6, 4, 1
+};
+
+void main_neon_convolution(int argc, const char **argv)
+{
+ /** [Accurate padding] **/
+ PPMLoader ppm;
+ Image src, tmp, dst;
+
+ if(argc < 2)
+ {
+ // Print help
+ std::cout << "Usage: ./build/neon_convolution [input_image.ppm]\n\n";
+ std::cout << "No input_image provided, creating a dummy 640x480 image\n";
+ // Initialize just the dimensions and format of your buffers:
+ src.allocator()->init(TensorInfo(640, 480, Format::U8));
+ }
+ else
+ {
+ ppm.open(argv[1]);
+ // Initialize just the dimensions and format of your buffers:
+ ppm.init_image(src, Format::U8);
+ }
+
+ // Initialize just the dimensions and format of the temporary and destination images:
+ tmp.allocator()->init(*src.info());
+ dst.allocator()->init(*src.info());
+
+ NEConvolution3x3 conv3x3;
+ NEConvolution5x5 conv5x5;
+
+ // Apply a Gaussian 3x3 filter to the source image followed by a Gaussian 5x5:
+ // The function will automatically update the padding information inside input and output to match its requirements
+ conv3x3.configure(&src, &tmp, gaussian3x3, 0 /* Let arm_compute calculate the scale */, BorderMode::UNDEFINED);
+ conv5x5.configure(&tmp, &dst, gaussian5x5, 0 /* Let arm_compute calculate the scale */, BorderMode::UNDEFINED);
+
+ // Now that the padding requirements are known we can allocate the images:
+ src.allocator()->allocate();
+ tmp.allocator()->allocate();
+ dst.allocator()->allocate();
+
+ // Fill the input image with the content of the PPM image if a filename was provided:
+ if(ppm.is_open())
+ {
+ ppm.fill_image(src);
+ }
+
+ //Execute the functions:
+ conv3x3.run();
+ conv5x5.run();
+
+ // Save the result to file:
+ if(ppm.is_open())
+ {
+ const std::string output_filename = std::string(argv[1]) + "_out.ppm";
+ save_to_ppm(dst, output_filename);
+ }
+ /** [Accurate padding] **/
+}
+
+/** Main program for convolution test
+ * @param[in] argc Number of arguments
+ * @param[in] argv Arguments ( [optional] Path to PPM image to process )
+ */
+int main(int argc, const char **argv)
+{
+ return test_helpers::run_example(argc, argv, main_neon_convolution);
+}