Release v13.3 of the CUDA samples with CUDA 13.3 Toolkit (#435)

This is the release of the CUDA 13.3 samples, which include additions for CUDA Tile C++, and updated CCCL and Python samples.

python/3_FrameworkInterop/customPyTorchKernel/README.md

@@ -11,7 +11,7 @@ This sample demonstrates how to add a custom GPU operation to PyTorch using the
 - Python 3.10+
 - PyTorch 2.0+
 - cuda-python >= 13.0.0
-- cuda-core >= 0.6.0
+- cuda-core >=1.0.0
 
 ## Installation
 
@@ -20,6 +20,14 @@ cd python/3_FrameworkInterop/customPyTorchKernel
 pip install -r requirements.txt
 ```
 
+**Windows users:** The default `torch` wheel on PyPI for Windows is CPU-only and will cause `torch.cuda.is_available()` to return `False`. Install a CUDA-enabled build from PyTorch's wheel index *before* (or after) the command above:
+
+```bash
+pip install torch --index-url https://download.pytorch.org/whl/cu128
+```
+
+Replace `cu128` with the wheel suffix matching your installed CUDA driver (e.g. `cu121`, `cu124`, `cu126`, `cu128`). The driver's CUDA version must be >= the wheel's bundled runtime.
+
 ## How to Run
 
 ```bash

python/3_FrameworkInterop/customPyTorchKernel/requirements.txt

@@ -1,5 +1,10 @@
 # Custom PyTorch Kernel Sample Requirements
+#
+# NOTE: On Windows, the default `torch` wheel from PyPI is CPU-only and the
+# sample will fail with "Torch not compiled with CUDA enabled". Install a
+# CUDA-enabled torch from PyTorch's wheel index first (see README.md):
+#   pip install torch --index-url https://download.pytorch.org/whl/cu128
 
 cuda-python>=13.0.0
-cuda-core>=0.6.0
+cuda-core>=1.0.0
 torch>=2.0.0

python/3_FrameworkInterop/customTensorFlowKernel/README.md

@@ -22,7 +22,7 @@ Learn how to add a custom GPU operation to TensorFlow using `cuda.core` with `tf
 - Python 3.10+
 - TensorFlow 2.10+
 - cuda-python >= 13.0.0
-- cuda-core >= 0.6.0 (required for LEGACY_DEFAULT_STREAM)
+- cuda-core >=1.0.0 (required for LEGACY_DEFAULT_STREAM)
 - numpy >= 2.3.2
 - CuPy (for device pointer access)
 

python/3_FrameworkInterop/customTensorFlowKernel/requirements.txt

@@ -5,10 +5,10 @@
 # - TensorFlow 2.10+: Deep learning framework (tf.py_function, tf.custom_gradient)
 # - CuPy: Internal helper for device pointer access only
 #
-# Note: cuda-core>=0.6.0 is required for LEGACY_DEFAULT_STREAM constant
+# Note: cuda-core>=1.0.0 is required for LEGACY_DEFAULT_STREAM constant
 
 numpy>=2.3.2
 tensorflow>=2.10.0
-cupy-cuda13x>=13.0.0
+cupy-cuda13x>=14.0.0
 cuda-python>=13.0.0
-cuda-core>=0.6.0
+cuda-core>=1.0.0