Open DanielTakeshi opened 3 years ago
Hello! May I ask you a question? I learned that you proposed Deformable-Ravens based on Ravens, so can you test the model on the source code of Ravens? I have some problems in this link, could you help me solve them? https://github.com/google-research/ravens/issues/25
Same error. How do you fix it in the end?
python train.py
pybullet build time: Apr 16 2024 14:14:25
RuntimeError: module compiled against API version 0x10 but this version of numpy is 0xd . Check the section C-API incompatibility at the Troubleshooting ImportError section at https://numpy.org/devdocs/user/troubleshooting-importerror.html#c-api-incompatibility for indications on how to solve this problem .
Traceback (most recent call last):
File "train.py", line 7, in
in: https://github.com/zhaianbang/Vision-Language-Grasping, in this project, i meet this problem too.
I followed the three installation steps for my Ubuntu 18.04 machine to create a conda environment named
ravens
. The installation seems to have proceeded correctly. However, running the example shows this:This error is reported elsewhere, for example:
Most fixes suggest upgrading the numpy version. Here is the pastebin of the result of conda list showing that I'm using numpy 1.18.5. However, upgrading numpy does not succeed because TensorFlow 2.3.0 has a strict numpy dependency:
The strange part is, I can actually run the data collection and training scripts, after upgrading numpy. However, because TensorFlow 2.3.0 is supposed to be incompatible (e.g., see here) it's not clear to me that this is an ideal situation. There may be some silent errors or unexpected code usage with the more recent numpy versions.
Is anyone able to reproduce this from a clean installation?