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158 lines
5.7 KiB
Plaintext
158 lines
5.7 KiB
Plaintext
/* Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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* * Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions and the following disclaimer in the
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* documentation and/or other materials provided with the distribution.
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* * Neither the name of NVIDIA CORPORATION nor the names of its
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* contributors may be used to endorse or promote products derived
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* from this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
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* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
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* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
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* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
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* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
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* OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*/
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/*
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* This file demonstrates the usage of conditional graph nodes with
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* a series of *simple* example graphs.
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*
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* For more information on conditional nodes, see the programming guide:
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*
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* https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#conditional-graph-nodes
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*
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*/
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// System includes
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#include <assert.h>
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#include <stdio.h>
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#include <climits>
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#include <vector>
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// CUDA runtime
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#include <cuda_runtime.h>
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// helper functions and utilities to work with CUDA
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#include <helper_cuda.h>
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#include <helper_functions.h>
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/*
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* Create a graph containing two nodes.
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* The first node, A, is a kernel and the second node, B, is a conditional IF node.
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* The kernel sets the condition variable to true if a device memory location
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* contains an odd number. Otherwise the condition variable is set to false.
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* There is a single kernel, C, within the conditional body which prints a message.
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*
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* A -> B [ C ]
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*
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*/
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__global__ void ifGraphKernelA(char *dPtr, cudaGraphConditionalHandle handle)
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{
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// In this example, condition is set if *dPtr is odd
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unsigned int value = *dPtr & 0x01;
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cudaGraphSetConditional(handle, value);
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printf("GPU: Handle set to %d\n", value);
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}
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// This kernel will only be executed if the condition is true
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__global__ void ifGraphKernelC(void)
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{
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printf("GPU: Hello from the GPU!\n");
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}
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// Setup and launch the graph
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void simpleIfGraph(void)
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{
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cudaGraph_t graph;
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cudaGraphExec_t graphExec;
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cudaGraphNode_t node;
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void *kernelArgs[2];
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char *dPtr; // Pointer to device memory location
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// Allocate a byte of device memory to use as input
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checkCudaErrors(cudaMalloc((void**)&dPtr, 1));
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cudaGraphCreate(&graph, 0);
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// Create conditional handle.
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cudaGraphConditionalHandle handle;
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cudaGraphConditionalHandleCreate(&handle, graph);
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// Use a kernel upstream of the conditional to set the handle value
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cudaGraphNodeParams params = { cudaGraphNodeTypeKernel };
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params.kernel.func = (void *)ifGraphKernelA;
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params.kernel.gridDim.x = params.kernel.gridDim.y = params.kernel.gridDim.z = 1;
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params.kernel.blockDim.x = params.kernel.blockDim.y = params.kernel.blockDim.z = 1;
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params.kernel.kernelParams = kernelArgs;
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kernelArgs[0] = &dPtr;
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kernelArgs[1] = &handle;
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checkCudaErrors(cudaGraphAddNode(&node, graph, NULL, 0, ¶ms));
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cudaGraphNodeParams cParams = { cudaGraphNodeTypeConditional };
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cParams.conditional.handle = handle;
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cParams.conditional.type = cudaGraphCondTypeIf;
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cParams.conditional.size = 1;
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checkCudaErrors(cudaGraphAddNode(&node, graph, &node, 1, &cParams));
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cudaGraph_t bodyGraph = cParams.conditional.phGraph_out[0];
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// Populate the body of the conditional node
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cudaGraphNode_t bodyNode;
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params.kernel.func = (void *)ifGraphKernelC;
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params.kernel.kernelParams = nullptr;
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checkCudaErrors(cudaGraphAddNode(&bodyNode, bodyGraph, NULL, 0, ¶ms));
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checkCudaErrors(cudaGraphInstantiate(&graphExec, graph, NULL, NULL, 0));
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// Initialize device memory and launch the graph
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checkCudaErrors(cudaMemset(dPtr, 0, 1)); // Set dPtr to 0
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printf("Host: Launching graph with conditional value set to false\n");
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checkCudaErrors(cudaGraphLaunch(graphExec, 0));
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checkCudaErrors(cudaDeviceSynchronize());
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// Initialize device memory and launch the graph
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checkCudaErrors(cudaMemset(dPtr, 1, 1)); // Set dPtr to 1
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printf("Host: Launching graph with conditional value set to true\n");
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checkCudaErrors(cudaGraphLaunch(graphExec, 0));
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checkCudaErrors(cudaDeviceSynchronize());
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// Cleanup
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checkCudaErrors(cudaGraphExecDestroy(graphExec));
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checkCudaErrors(cudaGraphDestroy(graph));
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checkCudaErrors(cudaFree(dPtr));
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}
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int main(int argc, char **argv) {
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int device = findCudaDevice(argc, (const char **)argv);
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int driverVersion = 0;
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cudaDriverGetVersion(&driverVersion);
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printf("Driver version is: %d.%d\n", driverVersion / 1000,
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(driverVersion % 100) / 10);
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if (driverVersion < 12030) {
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printf("Waiving execution as driver does not support Graph Conditional Nodes\n");
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exit(EXIT_WAIVED);
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}
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simpleIfGraph();
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return 0;
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}
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