How can I run the Events created by Tensorboard - pytorch

I use tensorboard to create an events,
from torch.utils.tensorboard import SummaryWriter
if __name__ == '__main__':
write=SummaryWriter("log")
write.add_scalar("test",1,1)
write.add_scalar("test",2,2)
write.close()
but How can I run it? When I input tensorboard --logdir=='logs', it told me has no exe named tensorboard found.

If you are using anaconda as package manager, at start menu, search for anaconda prompt. And run it. Install tensorboard there with the command,
pip install tensorboard
Then use cd to change the directory to the location of your .py file.
And there use the command tensorboard logdir=runs

Related

I get "syntax error" while installing numpy [duplicate]

I'm trying to use pip to install a package. I try to run pip install from the Python shell, but I get a SyntaxError. Why do I get this error? How do I use pip to install the package?
>>> pip install selenium
^
SyntaxError: invalid syntax
pip is run from the command line, not the Python interpreter. It is a program that installs modules, so you can use them from Python. Once you have installed the module, then you can open the Python shell and do import selenium.
The Python shell is not a command line, it is an interactive interpreter. You type Python code into it, not commands.
Use the command line, not the Python shell (DOS, PowerShell in Windows).
C:\Program Files\Python2.7\Scripts> pip install XYZ
If you installed Python into your PATH using the latest installers, you don't need to be in that folder to run pip
Terminal in Mac or Linux
$ pip install XYZ
As #sinoroc suggested correct way of installing a package via pip is using separate process since pip may cause closing a thread or may require a restart of interpreter to load new installed package so this is the right way of using the API: subprocess.check_call([sys.executable, '-m', 'pip', 'install', 'SomeProject']) but since Python allows to access internal API and you know what you're using the API for you may want to use internal API anyway eg. if you're building own GUI package manager with alternative resourcess like https://www.lfd.uci.edu/~gohlke/pythonlibs/
Following soulution is OUT OF DATE, instead of downvoting suggest updates. see https://github.com/pypa/pip/issues/7498 for reference.
UPDATE: Since pip version 10.x there is no more get_installed_distributions() or main method under import pip instead use import pip._internal as pip.
UPDATE ca. v.18 get_installed_distributions() has been removed. Instead you may use generator freeze like this:
from pip._internal.operations.freeze import freeze
print([package for package in freeze()])
# eg output ['pip==19.0.3']
If you want to use pip inside the Python interpreter, try this:
import pip
package_names=['selenium', 'requests'] #packages to install
pip.main(['install'] + package_names + ['--upgrade'])
# --upgrade to install or update existing packages
If you need to update every installed package, use following:
import pip
for i in pip.get_installed_distributions():
pip.main(['install', i.key, '--upgrade'])
If you want to stop installing other packages if any installation fails, use it in one single pip.main([]) call:
import pip
package_names = [i.key for i in pip.get_installed_distributions()]
pip.main(['install'] + package_names + ['--upgrade'])
Note: When you install from list in file with -r / --requirement parameter you do NOT need open() function.
pip.main(['install', '-r', 'filename'])
Warning: Some parameters as simple --help may cause python interpreter to stop.
Curiosity: By using pip.exe you actually use python interpreter and pip module anyway. If you unpack pip.exe or pip3.exe regardless it's python 2.x or 3.x, inside is the SAME single file __main__.py:
# -*- coding: utf-8 -*-
import re
import sys
from pip import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(main())
To run pip in Python 3.x, just follow the instructions on Python's page: Installing Python Modules.
python -m pip install SomePackage
Note that this is run from the command line and not the python shell (the reason for syntax error in the original question).
I installed python and when I run pip command it used to throw me an error like shown in pic below.
Make Sure pip path is added in environmental variables. For me, the python and pip installation path is::
Python: C:\Users\fhhz\AppData\Local\Programs\Python\Python38\
pip: C:\Users\fhhz\AppData\Local\Programs\Python\Python38\Scripts
Both these paths were added to path in environmental variables.
Now Open a new cmd window and type pip, you should be seeing a screen as below.
Now type pip install <<package-name>>. Here I'm installing package spyder so my command line statement will be as pip install spyder and here goes my running screen..
and I hope we are done with this!!
you need to type it in cmd not in the IDLE. becuse IDLE is not an command prompt if you want to install something from IDLE type this
>>>from pip.__main__ import _main as main
>>>main(#args splitted by space in list example:['install', 'requests'])
this is calling pip like pip <commands> in terminal. The commands will be seperated by spaces that you are doing there to.
If you are doing it from command line,
try -
python -m pip install selenium
or (for Python3 and above)
python3 -m pip install selenium

`ModuleNotFoundError: No module named 'sklearn'` on Windows CMD

I'm trying to execute this code on Windows CMD
from sklearn.svm import SVC
and I'm getting the following error
ModuleNotFoundError: No module named 'sklearn'
I've tried installing scikit-learn and I get the message
Requirement already satisfied: scikit-learn in c:\programdata\anaconda3\lib\site-packages (0.23.2)
Windows CMD ist not good enough. What you need is the Anaconda prompt to run Python properly. If you don't find it in your start menu, simply enter
C:\> conda activate
(Anaconda3) C:\> python
>>> from sklearn.svm import SVC
>>>
in the CMD shell. The altered prompt tells you that Anaconda is activated. The problem is that you probably added the python.exe folder to your system path, which is a bad idea with Anaconda.
And the next time please copy the full dialog into your questions.
I think you have not installed sklearn package first install sklearn
which can be done using
pip install sklearn
or
pip3 install sklearn

installing requirements with pip inside a python script

I need to install packages using Python that is supposed to perform the same as the following command line:
pip install -r requirements.txt
note: I need to run this command on a virtual environment
I didn't succeed to do that with os.system.
import subprocess
import sys
def install(package):
subprocess.check_call([sys.executable, "-m", "pip", "install", package])
install('xlrd') #example - this will install xlrd package
Use sys.executable to ensure that you will call the same pip associated with the current runtime.

How can I install keras using anaconda with mxnet backend

How can I set keras's backend to be MXNet?
I have found only this installation guide, but after I install keras by hand in this way, Anaconda does not recognize this installation.
In other words, this command:
KERAS_BACKEND=mxnet python -c "from keras import backend"
works only in the "keras" installation folder.
Therefore, I can not use keras in a Jupyter Notebook, for example.
Do you know another way to install keras in order to be compatible with mxnet (as it is for example on aws's AMIs) ?
You can install keras for a given Anaconda env by first activating that env and then calling
pip install -e .
in keras folder. In the guide that you included the link to, this command would replace
sudo python setup.py install
which installs it system wide.

ImportError: No module named 'keras'

So basically, I am fairly new to programming and using python. I am trying to build an ANN model for which I have to use Tensor flow, Theano and Keras library. I have Anaconda 4.4.1 with Python 3.5.2 on Windows 10 x64 and I have installed these libraries by following method.
Create a new environment with Anaconda and Python 3.5:
conda create -n tensorflow python=3.5 anaconda
Activate the environment:
activate tensorflow
After this you can install Theano, TensorFlow and Keras:
conda install theano,
conda install mingw libpython,
pip install tensorflow,
pip install keras,
Update the packages:
conda update --all
All these packages are installed correctly and I have check them with conda list.
However, when I am trying to import any of these 3 libraries (i.e. Tensor flow, Theano and Keras), it is giving me the following error:
Traceback (most recent call last):
File "<ipython-input-3-c74e2bd4ca71>", line 1, in <module>
import keras
ImportError: No module named 'keras'
Hi I have an solution try this if you are using Anaconda-Navigator
go to Anaconda Environment and search keras package and then install.
after install just type import keras in shell its working.
Have you tried using keras documentation
Install Keras from PyPI (recommended):
Note: These installation steps assume that you are on a Linux or Mac environment. If you are on Windows, you will need to remove sudo to run the commands below.
sudo pip install keras
If you are using a virtualenv, you may want to avoid using sudo:
pip install keras
from: https://keras.io/
Now you need to have Tensorflow installed and then write, for example:
import tensorflow as tf
...
model = tf.keras.models.Sequential()
model.add(tf.keras.layers.Dense(12, input_dim=8, activation='relu'))
model.add(tf.keras.layers.Dense(8, activation='relu'))
model.add(tf.keras.layers.Dense(1, activation='sigmoid'))
...
Works for Tensorflow version: 2.4.1.
Or just type:
import tensorflow as tf
from tensorflow import keras
...
Try
import sys
print(sys.path)
and see if your anaconda site-packages folder is in the list.
It should be something like WHERE_YOU_INSTALLED_ANACONDA\anaconda3\envs\ENVIRONMENT_NAME\lib\python3.5\site-packages
If the path setting is correct, then try listing the folder content, and see if Keras, TensorFlow and Theano are in this folder.
I ran into a very similar issue after switching computers and downloading the latest Anaconda, which comes with python 3.6. It was no problem to install python 3.5 in its own environment, and install keras to this environment, but import keraskept failing.
My inelegant solution (assuming you've already got tensorflow/theano/cntk working fine in your global environment)?
Move the keras folder installed to Anaconda3/envs//Lib/site-packages/keras to Anaconda3/Lib/site-packages/keras. Now import keras gives a depreciation warning when run from a jupyter notebook launched via start menu, but it does work, and correctly returns the backend keras is running on.
I spent the whole day to install Keras, tried all the available methods online, almost dying. But I still cannot import keras.
(1). After using conda install or pip install, and delete the "1 > null > 2&1" ... I activated in conda prompt by activating tensorflow_cpu, it doesn't work anyway.
(2). Then checked the keras, and print os.path(), no virtual environment inside. I got so braindead, just copied all the keras data file from virtual environment env, and put into the "C:\Users\Administrator\Anaconda3\Lib\site-packages".
(3). Now, tensorflow and keras work well.
Click Update Index and then try searching for Keras again.
I have the same problem with:
conda 4.13.0
tensorflow 2.6.0
Note: We should not have to install Keras separately, as it ships with Tensorflow, starting with Tensorflow 2.0.
Symptoms:
Keras import (from tensorflow import keras) does not return an error, BUT any further reference to Keras does throw "ModuleNotFoundError", e.g. the following statements fail:
print(keras.__version__)
from keras import Sequential
I still don't have a direct solution for this, this is more of a workaround, but here it is:
Import ANY class from Keras JUST ONCE using full top-down import syntax AND instantiate it
Import Keras (now "for real")
E.g.:
from tensorflow.keras.layers import Dense
layer = Dense(10)
from tensorflow import keras
Now the following statements should work:
print(keras.__version__)
model = keras.models.Sequential()
This looks like some sort of lazy module loading gone wrong.
A direct and simple way to fix it is as below,
#uninstall keras and tensorflow
pip uninstall keras
pip uninstall tensorflow
#Now install keras and tensorflow for required version with dependencies.
pip install keras==2.2.4
pip install tensorflow==1.13.1
Always make sure that you install right version of tensorflow which supports that keras version as well, else you may end up in trouble again. By the way , the above fix worked for me.
I solved this problem by running one of the following in the terminal according to anaconda website.
To install this package (keras) with conda run one of the following:
conda install -c conda-forge keras conda install -c
conda-forge/label/broken keras conda install -c
conda-forge/label/cf201901 keras conda install -c
conda-forge/label/cf202003 keras
If you never use conda before you can check anaconda.
A direct and simple way to fix it is as below, #uninstall keras and tensorflow
py -3 -m pip uninstall keras
py -3 -m pip uninstall tensorflow
#Now install keras and tensorflow for required version with dependencies.
py -3 -m pip install keras
py -3 -m pip install tensorflow
the above fix worked for me.
If you are sure that you ran pip install keras at the command line, ensure that you use the small letter 'k' instead of the Capital Alphabet. I had a similar error message.
These are some simple steps to install 'keras' simply using the Anaconda Navigator:
Launch Anaconda Navigator. Go to the Environments tab.
Select ‘Not installed’, and type in ‘tensorflow’.
Then, tick ‘tensorflow’ and do the same for ‘keras’.
Click on ‘Apply’. The pop-up window will appear, go ahead and apply.
This may take several minutes.
Done.
This tutorial will guide you more graphically: https://www.freecodecamp.org/news/install-tensorflow-and-keras-using-anaconda-navigator-without-command-line/
Remember to launch spyder in the environment or activate it in line command (conda activate [my_env]. afater that, execute your script python.
Try to import keras library from its reference parent which means import tensorflow.keras

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