Trying to import spacy into Google Colab but getting an error name '_C' is not defined. Is it problem with the torch somewhere inside?
torch version: 1.13.1
spacy version: 3.5.0
I've tried to upgrade spacy and cython, but it didn't work. What should I do?
As I said I've tried solutions from here, here and here
When I'm trying to downgrade numpy I'm getting a dependency error with scipy.
I've also tried to install torch 1.9.0 as in here but it also didn't work.
And I've tried to downgrade to spacy 3.4.3 which runs perfectly on my local machine -- didn't work.
UPD: just discovered that importing torch shows same error
UPD_2: this happened when I've uploaded my own notebook. When I open a new clear notebook -- everything works just fine.
Related
I can't import tensorflow, even after checking all dependencies. I'm getting an error message 'ModuleNotFoundError: No module named 'tensorflow'' when importing 'import tensorflow as tf' in vs code
I installed tensorflow through conda with 'conda install tensorflow'. It seems to have worked, since when I use 'pip show tensorflow', it shows up as 'version 2.10.0'. Moreover, my Python version is '3.9.15', so it should be compatible. I've been looking all over and no other installatoins have been working. Any suggestions?
Please try again by using Python version 3.10 as Python 3.9 shows some version errors in VS code.
Please check this link to install TensorFlow in VScode.
I installed "pydot (version 1.4.1)" and "python-graphviz (version 0.8.4)" to my tensorflow environment in anaconda. Now my tenserflow kernel keeps dying. I did get this warning once when I was trying to import the tensorflow libraries.
C:\Users\lbasnet\Anaconda3\envs\tflow\lib\site-packages\h5py_init_.py:40: UserWarning: h5py is running against HDF5 1.10.5 when it was built against 1.10.4, this may cause problems '{0}.{1}.{2}'.format(*version.hdf5_built_version_tuple)
Any idea how I can resolve this?
I got it resolved by myself. I uninstalled h5py pip uninstall h5py and reinstalled it pip install h5py
If you were trying to get plot_model to work and ended up with the above issue I faced, the following links can be very helpful to get "pydot" and "graphviz" to work.
Link 1 for "pydot"
Link 2 for "pydot"
Link 3 for "graphviz", refer to the answer by Silvia Bakalova if you are a windows user.
Attempting to run tensorflow a Mac, using python 3.7 as well as PyCharm and receiving where module tensorflow has no attribute app, at the following.
I've run through a number of potential solutions. Following the instructions provided on this question: Installing tensorflow on Pycharm (Mac). I've managed to successfully create a virtual-env in which I installed the tensorflow package however this folder contains
nothing but the init.py and pycache and the error remains.
I've also tried copying the contents of the tensorflow GitHub repo directly into this folder but it results in an ImportError.
Not sure what the issue is. Should I switch to python 2.7?
Python 3.7 is still unsupported as of this moment by tensorflow.
I have installed the Tensorflow r1.14 and want to use TF-TRT. However, the following error occurs:
"ModuleNotFoundError: No module named 'tensorflow.contrib.tensorrt'"
when running the sample code. The same error occurs with Tensorflow r1.13. So my question is do I need to install the tensorflow.contrib.tensorrt library separately? If yes, how?
Additionally, I can run the sample code of the TensorRT, e.g. sampleINT8, successfully. Click here to see my successful sample code run.
This leads me to believe that TensorRT is installed properly. However, the TF-TRT still doesn't work.
Any help would be greatly appreciated!
In TF 1.14, TF-TRT was moved to the core from contrib.
You need to import it like this: from tensorflow.python.compiler.tensorrt import > trt_convert as trt
https://github.com/tensorflow/tensorrt/blob/master/tftrt/examples/image-classification/image_classification.py#L22
This is the correct answer for Linux.
However, if you're using Windows: the TensorRT Python API (and therefore TF-TRT) is not supported for Windows at the moment, so the TensorFlow python packages aren't built with TensorRT.
In TF 1.14, TF-TRT was moved to the core from contrib.
You need to import it like this:
from tensorflow.python.compiler.tensorrt import trt_convert as trt
https://github.com/tensorflow/tensorrt/blob/master/tftrt/examples/image-classification/image_classification.py#L22
In order to be able to import tensorflow.contrib.tensorrt you need to have tensorflow-gpu version >= 1.7 installed on your system. Maybe you could try installing the tensorflow-gpu library with a:
pip install tensorflow-gpu
Check out the Windows section of the GPU documentation as well. Also, I would try updating your tensorflow version with a:
pip install --upgrade tensorflow
to ensure you're up to date there as well. Check out this section of the TensorFlow documentation for additional support.
Hopefully that helps!
2 possibilities
Have you installed tensorflow-gpu instead of tensorflow?
From your screenshot it looks like you're using Windows. I had the same problem. There seems no tensorrt module under contrib in TF windows distribution however linux has it (I tried 1.13.1).
I am trying to test NVIDIA's Style GAN and am encountering an error when trying to run the pretrained_example.py file.
I get an import error from the line from tensorflow.python.ops import nccl_ops
ImportError: cannot import name 'nccl_ops'
I think I installed all the prerequisites properly and am using python 3.6. It could be a mac tensorflow issue possibly because it doesn't mention OSX on the github project. Any help would be appreciated. It might be a matter of installing a different version of tensorflow or something else, I'm not sure.
I updated tensorflow and it solved this issue