# TensorFlow Custom GPU Operator using cuda.core
#
# This sample demonstrates a cuda.core-first approach:
# - cuda-python and cuda-core: Primary GPU management (device, stream, kernel)
# - 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

numpy>=2.3.2
tensorflow>=2.10.0
cupy-cuda13x>=13.0.0
cuda-python>=13.0.0
cuda-core>=0.6.0