CUDA 13.2 samples update (#432)

- Added Python samples for CUDA Python 1.0 release
- Renamed top-level `Samples` directory to `cpp` to accommodate Python samples.

cpp/0_Introduction/simpleAssert/.vscode/c_cpp_properties.json

@@ -0,0 +1,18 @@
+{
+    "configurations": [
+        {
+            "name": "Linux",
+            "includePath": [
+                "${workspaceFolder}/**",
+                "${workspaceFolder}/../../../Common"
+            ],
+            "defines": [],
+            "compilerPath": "/usr/local/cuda/bin/nvcc",
+            "cStandard": "gnu17",
+            "cppStandard": "gnu++14",
+            "intelliSenseMode": "linux-gcc-x64",
+            "configurationProvider": "ms-vscode.makefile-tools"
+        }
+    ],
+    "version": 4
+}

cpp/0_Introduction/simpleAssert/.vscode/extensions.json

@@ -0,0 +1,7 @@
+{
+    "recommendations": [
+        "nvidia.nsight-vscode-edition",
+        "ms-vscode.cpptools",
+        "ms-vscode.makefile-tools"
+    ]
+}

cpp/0_Introduction/simpleAssert/CMakeLists.txt

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+cmake_minimum_required(VERSION 3.20)
+
+list(APPEND CMAKE_MODULE_PATH "${CMAKE_CURRENT_SOURCE_DIR}/../../../cmake/Modules")
+
+project(simpleAssert LANGUAGES C CXX CUDA)
+
+find_package(CUDAToolkit REQUIRED)
+
+set(CMAKE_POSITION_INDEPENDENT_CODE ON)
+
+set(CMAKE_CUDA_ARCHITECTURES 75 80 86 87 89 90 100 110 120)
+set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -Wno-deprecated-gpu-targets")
+if(ENABLE_CUDA_DEBUG)
+    set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -G")        # enable cuda-gdb (may significantly affect performance on some targets)
+else()
+    set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -lineinfo") # add line information to all builds for debug tools (exclusive to -G option)
+endif()
+
+# Removes -DNDEBUG For Print specific logs in this sample.
+string(REPLACE "-DNDEBUG" "" CMAKE_CUDA_FLAGS_RELEASE "${CMAKE_CUDA_FLAGS_RELEASE}")
+
+# Include directories and libraries
+include_directories(../../../Common)
+
+# Source file
+# Add target for simpleAssert
+add_executable(simpleAssert simpleAssert.cu)
+
+target_compile_options(simpleAssert PRIVATE $<$<COMPILE_LANGUAGE:CUDA>:--extended-lambda>)
+
+target_compile_features(simpleAssert PRIVATE cxx_std_17 cuda_std_17)
+
+set_target_properties(simpleAssert PROPERTIES CUDA_SEPARABLE_COMPILATION ON)
+
+# Include installation configuration
+include(${CMAKE_CURRENT_SOURCE_DIR}/../../../cmake/InstallSamples.cmake)
+setup_samples_install()

cpp/0_Introduction/simpleAssert/README.md

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+# simpleAssert - simpleAssert
+
+## Description
+
+This CUDA Runtime API sample is a very basic sample that implements how to use the assert function in the device code. Requires Compute Capability 2.0 .
+
+## Key Concepts
+
+Assert
+
+## Supported SM Architectures
+
+[SM 5.0 ](https://developer.nvidia.com/cuda-gpus)  [SM 5.2 ](https://developer.nvidia.com/cuda-gpus)  [SM 5.3 ](https://developer.nvidia.com/cuda-gpus)  [SM 6.0 ](https://developer.nvidia.com/cuda-gpus)  [SM 6.1 ](https://developer.nvidia.com/cuda-gpus)  [SM 7.0 ](https://developer.nvidia.com/cuda-gpus)  [SM 7.2 ](https://developer.nvidia.com/cuda-gpus)  [SM 7.5 ](https://developer.nvidia.com/cuda-gpus)  [SM 8.0 ](https://developer.nvidia.com/cuda-gpus)  [SM 8.6 ](https://developer.nvidia.com/cuda-gpus)  [SM 8.7 ](https://developer.nvidia.com/cuda-gpus)  [SM 8.9 ](https://developer.nvidia.com/cuda-gpus)  [SM 9.0 ](https://developer.nvidia.com/cuda-gpus)
+
+## Supported OSes
+
+Linux, Windows
+
+## Supported CPU Architecture
+
+x86_64, armv7l
+
+## CUDA APIs involved
+
+### [CUDA Runtime API](http://docs.nvidia.com/cuda/cuda-runtime-api/index.html)
+cudaDeviceSynchronize, cudaGetErrorString
+
+## Prerequisites
+
+Download and install the [CUDA Toolkit](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
+
+## References (for more details)

cpp/0_Introduction/simpleAssert/simpleAssert.cu

@@ -0,0 +1,130 @@
+/* Copyright (c) 2022, 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.
+ */
+
+#ifdef _WIN32
+#define WINDOWS_LEAN_AND_MEAN
+#define NOMINMAX
+#include <windows.h>
+#else
+#include <sys/utsname.h>
+#endif
+
+// Includes, system
+#include <cassert>
+#include <stdio.h>
+
+// Includes CUDA
+#include <cuda_runtime.h>
+
+// Utilities and timing functions
+#include <helper_functions.h> // includes cuda.h and cuda_runtime_api.h
+
+// CUDA helper functions
+#include <helper_cuda.h> // helper functions for CUDA error check
+
+const char *sampleName = "simpleAssert";
+
+////////////////////////////////////////////////////////////////////////////////
+// Auto-Verification Code
+bool testResult = true;
+
+////////////////////////////////////////////////////////////////////////////////
+// Kernels
+////////////////////////////////////////////////////////////////////////////////
+//! Tests assert function.
+//! Thread whose id > N will print assertion failed error message.
+////////////////////////////////////////////////////////////////////////////////
+__global__ void testKernel(int N)
+{
+    int gtid = blockIdx.x * blockDim.x + threadIdx.x;
+    assert(gtid < N);
+}
+
+////////////////////////////////////////////////////////////////////////////////
+// Declaration, forward
+void runTest(int argc, char **argv);
+
+////////////////////////////////////////////////////////////////////////////////
+// Program main
+////////////////////////////////////////////////////////////////////////////////
+int main(int argc, char **argv)
+{
+    printf("%s starting...\n", sampleName);
+
+    runTest(argc, argv);
+
+    printf("%s completed, returned %s\n", sampleName, testResult ? "OK" : "ERROR!");
+    exit(testResult ? EXIT_SUCCESS : EXIT_FAILURE);
+}
+
+void runTest(int argc, char **argv)
+{
+    int         Nblocks  = 2;
+    int         Nthreads = 32;
+    cudaError_t error;
+
+#ifndef _WIN32
+    utsname OS_System_Type;
+    uname(&OS_System_Type);
+
+    printf("OS_System_Type.release = %s\n", OS_System_Type.release);
+
+    if (!strcasecmp(OS_System_Type.sysname, "Darwin")) {
+        printf("simpleAssert is not current supported on Mac OSX\n\n");
+        exit(EXIT_SUCCESS);
+    }
+    else {
+        printf("OS Info: <%s>\n\n", OS_System_Type.version);
+    }
+
+#endif
+
+    // This will pick the best possible CUDA capable device
+    findCudaDevice(argc, (const char **)argv);
+
+    // 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");
+    testKernel<<<dimGrid, dimBlock>>>(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;
+}