I am trying to import tensorflow.keras.applications in Google Colab. The imported module works fine. There is no compilation error. But, I am being shown a yellow curved underline, kind of a warning.
Error:
What is the problem that leads to such a warning?
Thank you.
You are not the only one experiencing this, and it does not happen only in Google Colab. It is a bug in Tensorflow.
Since it is just a warning you could ignore it. However if you like having code completion like I do you can substitute your imports from this:
import tensorflow.keras.x
To this:
import keras.api._v2.keras.x
Where x is the import you want to get.
Related
I have a numpy file that I can't share, that has to be imported in a python 2.7 (yes ... I need to work with 2.7 for this...) and I dont know how to do this, or how to know if it's recognized or how to see whats inside.
Can some one explain, please how can I see what's inside the numpy file, and how to call it from the script?
Thanks ;)
I've tried importing it, but it doesn't find it
edited: I've tried with this: np.load('preflop.ea.npy') But doesn't seem to work (I've tried to print it and it doesn't print).
enter image description here
It keeps on showing this yellow line under every import from Tensorflow in google colaboratory. I wonder why is this happening?
from tensorflow.keras import layers
from tensorflow.keras.layers.experimental import preprocessing
from tensorflow.keras.model import Sequential
I'm experiencing this too. It's a bug in TensorFlow. If you try executing the code everything will work fine, it's just a warning. However, if you want to make the warning go away you can replace all imports that start with tensorflow.keras with keras.api._v2.keras.
In your case:
from keras.api._v2.keras import layers
from keras.api._v2.keras.layers.experimental import preprocessing
from keras.api._v2.keras import Sequential
Importing react components into a Docusaurus markdown file has a common pattern like:
import Figure from '#site/src/components/figure' github source
import BrowserWindow from '#site/src/components/BrowserWindow' official docs
However, this pattern throws an error in my application when I include the following line in docs/theirlabel/latest.md:
import Figure from '#site/src/components/figure'
Throwing the following error
ERROR in ./docs/theirlabel/latest.md 1:991-1039
Module not found: Error: Can't resolve '#site/src/components/figure'
in '/home/projects/github-5c7qs5-wquhko/docs/theirlabel'
Commenting that line allows the site to compile correctly.
I've tried many variations of referencing/including the figure.jsx component without success, like:
import Figure from '/src/components/figure'
import Figure from './src/components/figure'
import Figure from '../src/components/figure'
import Figure from 'src/components/figure'
import Figure from './figure'
import Figure from '/figure'
Any ideas what I'm doing wrong?
I tried using heatmap as the chart type but I am getting error 17. I am using vue-highcharts and wondering how I can fix this proble. I looked online and it seems that I may have to import it and use it. Can anyone show me how to do that because I can't find any documentation on it?
import HighCharts from 'highcharts'
import heatmap from 'highcharts/modules/heatmap';
heatmap(HighCharts);
These are the import statements for it to work.
Here is the code I write in pydev combined with eclipse.
import matplotlib.pyplot as plt
fig=plt.figure()
as I know, 'fig' is a instance of 'matplotlib.Figure' class，when I write :
fig.
it seems pydev can't provide method calltip for fig. I cannot figure out what's going on, since for other module , like numpy, it works well.by the way, if i use a matlab-like interface, for example,
plt.plot()
pydev does provide the calltip for function arguments.
is there a way to solve this problem? I will appreciate it if anyone give a solution .
Forgive my poor english:-D
fig is an instance of matplotlib.figure.Figure so what you can do is importing import matplotlib.figure and creating an instance of that. Then, writing fig to the editor, you should get the tooltip you want.
The following is a screenshot from Spyder, so I haven't actually tested it in pydev.
I am not aware of any other possibility. The reason is that for the requested functionality to work the editor would need to load all kinds of modules, which are not actually imported in the script.
The issue is that some cases are too dynamic for PyDev to know about the actual type of the object that some method returns (which appears to be the case).
If you know the type, you can manually type it locally.
i.e.: Add the comment:
#: :type fig: matplotlib.figure.Figure
right before the fig assignment.
See: http://www.pydev.org/manual_adv_type_hints.html for more details.