/* Copyright (c) 2026, 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. */ // System includes #include #include // CUDA runtime #include const char *sampleName = "simpleAssert"; // Auto-Verification Code bool testResult = true; // Each thread computes its global index and asserts it is below N. Threads with // gtid >= N trip the assertion, which aborts the kernel and surfaces on the host // as cudaErrorAssert at the next synchronization point. __global__ void simpleAssertKernel(int N) { int gtid = blockIdx.x * blockDim.x + threadIdx.x; assert(gtid < N); } int main(int argc, char **argv) { int Nblocks = 2; int Nthreads = 32; cudaError_t error; printf("%s starting...\n\n", sampleName); // Select device 0 as the active GPU int devID = 0; cudaSetDevice(devID); // Query compute capability (major.minor) and number of SMs on the device int major = 0, minor = 0, smCount = 0; cudaDeviceGetAttribute(&major, cudaDevAttrComputeCapabilityMajor, devID); cudaDeviceGetAttribute(&minor, cudaDevAttrComputeCapabilityMinor, devID); cudaDeviceGetAttribute(&smCount, cudaDevAttrMultiProcessorCount, devID); // Print device info printf("GPU Device %d: with compute capability %d.%d and Number of SMs %d\n\n", devID, major, minor, smCount); // Kernel configuration, where a one-dimensional // grid and one-dimensional blocks are configured. dim3 dimGrid(Nblocks); dim3 dimBlock(Nthreads); printf("Launch kernel to generate assertion failures\n"); simpleAssertKernel<<>>(60); // Synchronize (flushes assert output). printf("\n-- Begin assert output\n\n"); error = cudaDeviceSynchronize(); printf("\n-- End assert output\n\n"); // Check for errors and failed asserts in asynchronous kernel launch. if (error == cudaErrorAssert) { printf("Device assert failed as expected, " "CUDA error message is: %s\n\n", cudaGetErrorString(error)); } testResult = error == cudaErrorAssert; printf("%s completed, returned %s\n", sampleName, testResult ? "OK" : "ERROR!"); exit(testResult ? EXIT_SUCCESS : EXIT_FAILURE); }