tf.test.is_built_with_cuda() is 'False' about tensorflow

[Viper373]

please help me!!!thanks!😭😭😭

[tilakrayal]

@Viper373,
Could you please confirm whether you are trying to install TensorFlow v2.16 on Windows with GPU? If you are trying the same, TensorFlow 2.10 was the last TensorFlow release that supported GPU on native-Windows. Starting with TensorFlow 2.11, you will need to install TensorFlow in WSL2, or install tensorflow-cpu and, optionally, try the TensorFlow-DirectML-Plugin

https://www.tensorflow.org/install/pip#windows-native_1

Thank you!

[Viper373]

，您能否确认您是否正在尝试在带有 GPU 的 Windows 上安装 TensorFlow v2.16？如果您正在尝试相同的方法，TensorFlow 2.10 是本机 Windows 上支持 GPU 的最后一个 TensorFlow 版本。从 TensorFlow 2.11 开始，您需要在 WSL2 中安装 TensorFlow，或者安装 tensorflow-cpu，并根据需要尝试 TensorFlow-DirectML-Plugin

https://www.tensorflow.org/install/pip#windows-native_1

谢谢！

I am certain that my Windows machine comes with a GPU, model 4070 super. Additionally, my Python version is 3.10.7, and I have installed cuda version 12.3 and cuDNN version 8.9.7. What version do I need to install? Can you help me write the corresponding Python, CUDA, and CUDNN versions for TF2.10

[tilakrayal]

@Viper373,
The compatible tested build configurations for TensorFlow v2.10 on Windows are tensorflow_gpu-2.10.0, python 3.7-3.10 Compiler - MSVC 2019, Bazel 5.1.1, cuDNN-8.1, CUDA-11.2.
https://www.tensorflow.org/install/source_windows#gpu

Thank you!

[Viper373]

@Viper373, The compatible tested build configurations for TensorFlow v2.10 on Windows are tensorflow_gpu-2.10.0, python 3.7-3.10 Compiler - MSVC 2019, Bazel 5.1.1, cuDNN-8.1, CUDA-11.2. https://www.tensorflow.org/install/source_windows#gpu

Thank you!

thank you a lot！！！

[google-ml-butler]

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