Keras 2.x & Tensorflow 2.x 安裝疑難雜症

tags: ISLab, Keras, Tensorflow, ML

• 2020/02/11
  • Python: 3.7.6
  • Tensorflow: 2.1.0
  • Keras: 2.3.1
  • CUDA: 10.1.2

Build the environment

1. Install Keras

pip install keras

2. Install Tensorflow

For GPU and CPU

pip install tensorflow

or Preview build (CPU)

pip install tf-nightly

• Testing

import keras
# Keras would call Tensorflow.

Help

• Tensorflow is installed, but "ImportError: DLL load failed".
  • Install Microsoft Visual C++ Redistributable
• AttributeError: module 'tensorflow' has no attribute 'get_default_graph'
  • Tensorflow and keras version not match.

Ref:
https://www.tensorflow.org/install/pip
https://github.com/keras-team/keras

GPU support

• Requirements
  • NVIDIA® GPU drivers - CUDA 10.1 requires 418.x or higher.
  • CUDA® Toolkit - TensorFlow supports CUDA 10.1 (TensorFlow >= 2.1.0)
  • cuDNN SDK - (>= 7.6)
• Testing

tf.config.experimental.list_physical_devices('GPU')
print("Num GPUs Available: ", len(
    tf.config.experimental.list_physical_devices('GPU')))

Help

• If it shows "cudart64_101.dll" or "cudart64_100.dll" not found,
  "cudart64_101.dll" is in CUDA 10.1
  "cudart64_100.dll" is here

Ref:
https://www.tensorflow.org/install/gpu
https://www.joe0.com

Keras Example

• Link