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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.
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@@ -22,7 +22,7 @@ Learn how to add a custom GPU operation to TensorFlow using `cuda.core` with `tf
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- Python 3.10+
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- TensorFlow 2.10+
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- cuda-python >= 13.0.0
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- cuda-core >= 0.6.0 (required for LEGACY_DEFAULT_STREAM)
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- cuda-core >=1.0.0 (required for LEGACY_DEFAULT_STREAM)
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- numpy >= 2.3.2
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- CuPy (for device pointer access)
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@@ -5,10 +5,10 @@
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# - TensorFlow 2.10+: Deep learning framework (tf.py_function, tf.custom_gradient)
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# - CuPy: Internal helper for device pointer access only
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#
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# Note: cuda-core>=0.6.0 is required for LEGACY_DEFAULT_STREAM constant
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# Note: cuda-core>=1.0.0 is required for LEGACY_DEFAULT_STREAM constant
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numpy>=2.3.2
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tensorflow>=2.10.0
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cupy-cuda13x>=13.0.0
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cupy-cuda13x>=14.0.0
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cuda-python>=13.0.0
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cuda-core>=0.6.0
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cuda-core>=1.0.0
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