FloydHub中Keras环境运行Python脚本提示“No module named keras”求助

Hey there, let's troubleshoot this Keras import error step by step—this is a common hiccup when working with FloydHub's environment configurations. Here are the most likely fixes:

1. Double-check your FloydHub environment selection #

When creating your task, make sure you've picked an environment that has Keras pre-installed. A few things to verify:

• Avoid generic Python environments (like python3) that don't include ML libraries by default.
• Opt for a dedicated Keras environment (e.g., floydhub/keras:2.10.0-py39) or a TensorFlow environment where Keras is integrated (note: newer TensorFlow versions bundle Keras as tf.keras, not a standalone keras package).

2. Adjust your import statements (if using TensorFlow-integrated Keras) #

If you selected a TensorFlow environment (like tensorflow-2.x), Keras isn't installed as a separate package—it's part of TensorFlow itself. Update your script's imports:

• Replace import keras with import tensorflow as tf
• Use tf.keras instead of keras in all references. For example:

  # Before
  from keras.models import Sequential
  from keras.layers import Dense
  
  # After
  from tensorflow.keras.models import Sequential
  from tensorflow.keras.layers import Dense
  

3. Manually install Keras in your task #

If you need a standalone Keras installation (e.g., for compatibility with older code), you can include an installation step in your task command:

• When launching the task, run: pip install keras==2.10.0 && python your_script.py
• Alternatively, create a requirements.txt file in your project directory with the line keras==2.10.0, upload it to FloydHub, and the platform will automatically install the package before running your script.

4. Verify your image version #

If you're using a custom or older environment image, it might not have Keras preloaded. Check the FloydHub environment options for the latest supported Keras images, and specify the full image tag when creating your task (e.g., floydhub/keras:latest).

If none of these steps resolve the issue, sharing more details about your task's environment settings and script imports would help narrow things down further!

内容的提问来源于stack exchange，提问作者Satyendra Singh