95 lines
3.1 KiB
C++
95 lines
3.1 KiB
C++
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// MIT License
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//
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// Copyright (c) 2017-2025 Advanced Micro Devices, Inc.
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//
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// Permission is hereby granted, free of charge, to any person obtaining a copy
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// of this software and associated documentation files (the "Software"), to deal
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// in the Software without restriction, including without limitation the rights
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// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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// copies of the Software, and to permit persons to whom the Software is
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// furnished to do so, subject to the following conditions:
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//
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// The above copyright notice and this permission notice shall be included in
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// all copies or substantial portions of the Software.
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//
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// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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// THE SOFTWARE.
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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 <string>
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#include <vector>
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#include "ctrl/test_kernel.h"
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// Class implements simple_convolution kernel parameters
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class simple_convolution : public TestKernel {
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public:
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// Kernel buffers IDs
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enum { INPUT_BUF_ID, LOCAL_BUF_ID, MASK_BUF_ID, KERNARG_BUF_ID, REFOUT_BUF_ID };
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// Constructor
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simple_convolution();
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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 void* ptr) const;
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// Return name
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std::string Name() const { return std::string("simple_convolution"); }
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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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// Input data
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std::vector<uint32_t> input_data_;
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static std::vector<uint32_t> get_input_data(size_t width, size_t height);
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};
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#endif // TEST_SIMPLE_CONVOLUTION_SIMPLE_CONVOLUTION_H_
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