/* Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions * are met: * * Redistributions of source code must retain the above copyright * notice, this list of conditions and the following disclaimer. * * Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in the * documentation and/or other materials provided with the distribution. * * Neither the name of NVIDIA CORPORATION nor the names of its * contributors may be used to endorse or promote products derived * from this software without specific prior written permission. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY * EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR * PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR * CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, * EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR * PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY * OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. */ /* * This sample uses the Driver API to just-in-time compile (JIT) a Kernel from * PTX code. Additionally, this sample demonstrates the seamless * interoperability capability of CUDA runtime Runtime and CUDA Driver API * calls. This sample requires Compute Capability 2.0 and higher. * */ // System includes #include #include #include #include // CUDA driver & runtime #include #include // helper functions and utilities to work with CUDA #define CUDA_DRIVER_API #include #include #include // helper for shared that are common to CUDA Samples #if defined(_WIN64) || defined(__LP64__) #define PTX_FILE "ptxjit_kernel64.ptx" #else #define PTX_FILE "ptxjit_kernel32.ptx" #endif const char *sSDKname = "PTX Just In Time (JIT) Compilation (no-qatest)"; bool inline findModulePath(const char *module_file, std::string &module_path, char **argv, std::string &ptx_source) { char *actual_path = sdkFindFilePath(module_file, argv[0]); if (actual_path) { module_path = actual_path; } else { printf("> findModulePath file not found: <%s> \n", module_file); return false; } if (module_path.empty()) { printf("> findModulePath file not found: <%s> \n", module_file); return false; } else { printf("> findModulePath <%s>\n", module_path.c_str()); if (module_path.rfind(".ptx") != std::string::npos) { FILE *fp = fopen(module_path.c_str(), "rb"); fseek(fp, 0, SEEK_END); int file_size = ftell(fp); char *buf = new char[file_size + 1]; fseek(fp, 0, SEEK_SET); fread(buf, sizeof(char), file_size, fp); fclose(fp); buf[file_size] = '\0'; ptx_source = buf; delete[] buf; } return true; } } void ptxJIT(int argc, char **argv, CUmodule *phModule, CUfunction *phKernel, CUlinkState *lState) { CUjit_option options[6]; void *optionVals[6]; float walltime; char error_log[8192], info_log[8192]; unsigned int logSize = 8192; void *cuOut; size_t outSize; int myErr = 0; std::string module_path, ptx_source; // Setup linker options // Return walltime from JIT compilation options[0] = CU_JIT_WALL_TIME; optionVals[0] = (void *)&walltime; // Pass a buffer for info messages options[1] = CU_JIT_INFO_LOG_BUFFER; optionVals[1] = (void *)info_log; // Pass the size of the info buffer options[2] = CU_JIT_INFO_LOG_BUFFER_SIZE_BYTES; optionVals[2] = (void *)(long)logSize; // Pass a buffer for error message options[3] = CU_JIT_ERROR_LOG_BUFFER; optionVals[3] = (void *)error_log; // Pass the size of the error buffer options[4] = CU_JIT_ERROR_LOG_BUFFER_SIZE_BYTES; optionVals[4] = (void *)(long)logSize; // Make the linker verbose options[5] = CU_JIT_LOG_VERBOSE; optionVals[5] = (void *)1; // Create a pending linker invocation checkCudaErrors(cuLinkCreate(6, options, optionVals, lState)); // first search for the module path before we load the results if (!findModulePath(PTX_FILE, module_path, argv, ptx_source)) { printf("> findModulePath could not find ptx\n"); exit(EXIT_FAILURE); } else { printf("> initCUDA loading module: <%s>\n", module_path.c_str()); } // Load the PTX from the ptx file printf("Loading ptxjit_kernel[] program\n"); myErr = cuLinkAddData(*lState, CU_JIT_INPUT_PTX, (void *)ptx_source.c_str(), strlen(ptx_source.c_str()) + 1, 0, 0, 0, 0); if (myErr != CUDA_SUCCESS) { // Errors will be put in error_log, per CU_JIT_ERROR_LOG_BUFFER option // above. fprintf(stderr, "PTX Linker Error:\n%s\n", error_log); } // Complete the linker step checkCudaErrors(cuLinkComplete(*lState, &cuOut, &outSize)); // Linker walltime and info_log were requested in options above. printf("CUDA Link Completed in %fms. Linker Output:\n%s\n", walltime, info_log); // Load resulting cuBin into module checkCudaErrors(cuModuleLoadData(phModule, cuOut)); // Locate the kernel entry poin checkCudaErrors(cuModuleGetFunction(phKernel, *phModule, "myKernel")); // Destroy the linker invocation checkCudaErrors(cuLinkDestroy(*lState)); } int main(int argc, char **argv) { const unsigned int nThreads = 256; const unsigned int nBlocks = 64; const size_t memSize = nThreads * nBlocks * sizeof(int); CUmodule hModule = 0; CUfunction hKernel = 0; CUlinkState lState; int *d_data = 0; int *h_data = 0; int cuda_device = 0; printf("[%s] - Starting...\n", sSDKname); CUdevice dev = findCudaDeviceDRV(argc, (const char **)argv); int driverVersion; cudaDriverGetVersion(&driverVersion); if (driverVersion < CUDART_VERSION) { printf( "driverVersion = %d < CUDART_VERSION = %d \n" "Enhanced compatibility is not supported for this sample.. waving " "execution\n", driverVersion, CUDART_VERSION); exit(EXIT_WAIVED); } // Allocate memory on host and device (Runtime API) // NOTE: The runtime API will create the GPU Context implicitly here if ((h_data = (int *)malloc(memSize)) == NULL) { std::cerr << "Could not allocate host memory" << std::endl; exit(EXIT_FAILURE); } checkCudaErrors(cudaMalloc(&d_data, memSize)); // JIT Compile the Kernel from PTX and get the Handles (Driver API) ptxJIT(argc, argv, &hModule, &hKernel, &lState); // Set the kernel parameters (Driver API) dim3 block(nThreads, 1, 1); dim3 grid(nBlocks, 1, 1); void *args[1] = {&d_data}; // Launch the kernel (Driver API_) checkCudaErrors(cuLaunchKernel(hKernel, grid.x, grid.y, grid.z, block.x, block.y, block.z, 0, NULL, args, NULL)); std::cout << "CUDA kernel launched" << std::endl; // Copy the result back to the host checkCudaErrors(cudaMemcpy(h_data, d_data, memSize, cudaMemcpyDeviceToHost)); // Check the result bool dataGood = true; for (unsigned int i = 0; dataGood && i < nBlocks * nThreads; i++) { if (h_data[i] != (int)i) { std::cerr << "Error at " << i << std::endl; dataGood = false; } } // Cleanup if (d_data) { checkCudaErrors(cudaFree(d_data)); d_data = 0; } if (h_data) { free(h_data); h_data = 0; } if (hModule) { checkCudaErrors(cuModuleUnload(hModule)); hModule = 0; } return dataGood ? EXIT_SUCCESS : EXIT_FAILURE; }