Evgeny
97 行
3.2 KiB
C++
97 行
3.2 KiB
C++
/******************************************************************************
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Copyright ©2013 Advanced Micro Devices, Inc. All rights reserved.
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Redistribution and use in source and binary forms, with or without modification,
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are permitted provided that the following conditions are met:
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Redistributions of source code must retain the above copyright notice, this list
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of conditions and the following disclaimer.
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Redistributions in binary form must reproduce the above copyright notice, this
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list of conditions and the following disclaimer in the documentation and/or
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other materials provided with the distribution.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
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ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
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IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT,
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INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
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BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
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DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
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LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE
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OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED
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OF THE POSSIBILITY OF SUCH DAMAGE.
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*******************************************************************************/
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#ifndef TEST_SIMPLE_CONVOLUTION_SIMPLE_CONVOLUTION_H_
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#define TEST_SIMPLE_CONVOLUTION_SIMPLE_CONVOLUTION_H_
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#include <map>
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#include <vector>
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#include "ctrl/test_kernel.h"
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// Class implements SimpleConvolution kernel parameters
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class SimpleConvolution : public TestKernel {
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public:
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// Constructor
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SimpleConvolution();
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// Initialize method
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void Init();
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// Return compute grid size
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uint32_t GetGridSize() const { return width_ * height_; }
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// Print output
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void PrintOutput() const;
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// Return name
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std::string Name() const { return std::string("SimpleConvolution"); }
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private:
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// Local kernel arguments declaration
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struct kernel_args_t {
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void* arg1;
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void* arg2;
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void* arg3;
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uint32_t arg4;
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uint32_t arg41;
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uint32_t arg5;
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uint32_t arg51;
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};
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// Reference CPU implementation of Simple Convolution
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// @param output Output matrix after performing convolution
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// @param input Input matrix on which convolution is to be performed
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// @param mask mask matrix using which convolution was to be performed
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// @param input_dimensions dimensions of the input matrix
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// @param mask_dimensions dimensions of the mask matrix
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// @return bool true on success and false on failure
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bool ReferenceImplementation(uint32_t* output, const uint32_t* input, const float* mask,
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const uint32_t width, const uint32_t height,
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const uint32_t maskWidth, const uint32_t maskHeight);
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// Width of the Input array
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uint32_t width_;
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// Height of the Input array
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uint32_t height_;
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// Mask dimensions
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uint32_t mask_width_;
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// Mask dimensions
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uint32_t mask_height_;
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// Randomize input data
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unsigned randomize_seed_;
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// Input data
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static const uint32_t input_data_[];
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};
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#endif // TEST_SIMPLE_CONVOLUTION_SIMPLE_CONVOLUTION_H_
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