I am working on this project which was tested with tensorflow v0.10.0rc0.
I don't want to take any dependency risks, and I'm a bit confused about this syntax version (instead of less cryptic 1.0, 1.1, 1.2, 1.3and 1.4 versions)
so how do I safely install this v0.10.0rc0 version using a pip command?
You can see the history of official pip dependencies by doing the following:
pypi.python.org/simple/<nameofpackage>/
The one you're interested in is linked here. These are all the available packages and there are some v0.12 versions and alike there you can try.
To install a specific version of the package, do the following:
pip install -I tensorflow==<version>
NOTE: You can also install packages which are hosted externally by replacing tensorflow== with the HTTP link.
To install a specific version with pip:
pip install tensorflow==<VERSION>
However, the specific version you want is not available via pip and I'm afraid you're going to have to compile from source if you want to use it.
Available pip3 versions (nov 18, 2017):
0.12.1, 1.0.0, 1.0.1, 1.1.0rc0, 1.1.0rc1, 1.1.0rc2, 1.1.0, 1.2.0rc0, 1.2.0rc1, 1.2.0rc2, 1.2.0, 1.2.1, 1.3.0rc0, 1.3.0rc1, 1.3.0rc2, 1.3.0, 1.4.0rc0, 1.4.0rc1, 1.4.0
Available pip2 versions (nov 18, 2017):
0.12.0rc0, 0.12.0rc1, 0.12.0, 0.12.1, 1.0.0, 1.0.1, 1.1.0rc0, 1.1.0rc1, 1.1.0rc2, 1.1.0, 1.2.0rc0, 1.2.0rc1, 1.2.0rc2, 1.2.0, 1.2.1, 1.3.0rc0, 1.3.0rc1, 1.3.0rc2, 1.3.0, 1.4.0rc0, 1.4.0rc1, 1.4.0
Related
Could not find a version that satisfies the requirement librabbitmq==1.6.1 (from versions: 0.9.0, 0.9.1, 0.9.2, 0.9.3, 0.9.4, 0.9.5, 0.9.6, 0.9.7, 0.9.8, 0.9.9, 1.0.0, 1.0.1, 1.0.2, 1.0.3, 1.5.0, 1.5.1, 1.5.2, 1.6.0, 1.6.1, 2.0.0)
I am getting similar error while install librarabbitmq,numpy,supervisor,xattr,MySQL-python there are specific versions i am trying to install and it pops out the same error while the version remain in the packages it can't find those.
The command used to install the package
pip install librabbitmq==1.6.1
the same goes for other packages as well
There was a function added to one of the latest versions of Scipy. I want to use this version on a Google Colab notebook but I cannot upgrade Scipy to the version I need.
Here's what I tried based on this post and this other post:
!pip install scipy==1.8.0
ERROR: Could not find a version that satisfies the requirement scipy==1.8.0 (from versions: 0.8.0, 0.9.0, 0.10.0, 0.10.1, 0.11.0, 0.12.0, 0.12.1, 0.13.0, 0.13.1, 0.13.2, 0.13.3, 0.14.0, 0.14.1, 0.15.0, 0.15.1, 0.16.0, 0.16.1, 0.17.0, 0.17.1, 0.18.0, 0.18.1, 0.19.0, 0.19.1, 1.0.0b1, 1.0.0rc1, 1.0.0rc2, 1.0.0, 1.0.1, 1.1.0rc1, 1.1.0, 1.2.0rc1, 1.2.0rc2, 1.2.0, 1.2.1, 1.2.2, 1.2.3, 1.3.0rc1, 1.3.0rc2, 1.3.0, 1.3.1, 1.3.2, 1.3.3, 1.4.0rc1, 1.4.0rc2, 1.4.0, 1.4.1, 1.5.0rc1, 1.5.0rc2, 1.5.0, 1.5.1, 1.5.2, 1.5.3, 1.5.4, 1.6.0rc1, 1.6.0rc2, 1.6.0, 1.6.1, 1.6.2, 1.6.3, 1.7.0rc1, 1.7.0rc2, 1.7.0, 1.7.1, 1.7.2, 1.7.3)
ERROR: No matching distribution found for scipy==1.8.0
According to the scipy documentation, version 1.8.0 was released on February this year. How come I can't upgrade to version 1.8.0 on Google Colab?
I was able to upgrade to this version with a simple pip install scipy --upgrade on my local computer.
Google colab runs on Python 3.7, however SciPy 1.8.0 requires at least Python 3.8
According to https://docs.scipy.org/doc/scipy/release.1.8.0.html,
This release requires Python 3.8+ and NumPy 1.17.3 or greater.
Environment: Windows 10 64bit
Issue: Can successfully install the azureml-core, azureml-widgets, azureml-mlflow with 1.35.0 version. However, when I tried to install the azureml-pipeline package with the following command
pip install azureml-pipeline
It will remove all the current 1.35.0 versions of azureml-core and replace with a older version as 1.0.85 as shown
...
Attempting uninstall: ruamel.yaml
Found existing installation: ruamel.yaml 0.17.16
Uninstalling ruamel.yaml-0.17.16:
Successfully uninstalled ruamel.yaml-0.17.16
Attempting uninstall: azure-mgmt-resource
Found existing installation: azure-mgmt-resource 13.0.0
Uninstalling azure-mgmt-resource-13.0.0:
Successfully uninstalled azure-mgmt-resource-13.0.0
Attempting uninstall: azureml-core
Found existing installation: azureml-core 1.35.0
Uninstalling azureml-core-1.35.0:
Successfully uninstalled azureml-core-1.35.0
Attempting uninstall: azureml-pipeline-core
Found existing installation: azureml-pipeline-core 1.35.0
Uninstalling azureml-pipeline-core-1.35.0:
Successfully uninstalled azureml-pipeline-core-1.35.0
Successfully installed azure-mgmt-resource-8.0.1 azureml-core-1.0.8585 azureml-telemetry-1.0.85.2 azureml-train-core-1.0.85
In addition, I checked the azureml-pipeline version and there has 1.35.0 as shown
azureml-pipeline (1.35.0)
Available versions: 1.35.0, 1.34.0, 1.33.0, 1.32.0, 1.31.0, 1.30.0, 1.29.0, 1.28.0, 1.27.0, 1.26.0, 1.25.0, 1.24.0, 1.23.0, 1.22.0, 1.21.0, 1.20.0, 1.19.0, 1.18.0, 1.17.0, 1.16.0, 1.15.0, 1.14.0, 1.13.0, 1.12.0, 1.11.0, 1.10.0, 1.9.0, 1.8.0, 1.7.0, 1.6.0, 1.5.0, 1.4.0, 1.3.0, 1.2.0, 1.1.5, 1.0.85, 1.0.83, 1.0.81, 1.0.79, 1.0.76, 1.0.74, 1.0.72, 1.0.69, 1.0.65, 1.0.62, 1.0.60, 1.0.57, 1.0.55, 1.0.53, 1.0.48, 1.0.45, 1.0.43, 1.0.41, 1.0.39, 1.0.33, 1.0.30, 1.0.23, 1.0.21, 1.0.18, 1.0.17, 1.0.15, 1.0.10, 1.0.8, 1.0.6, 1.0.2, 0.1.80, 0.1.74, 0.1.68, 0.1.65, 0.1.59, 0.1.58, 0.1.57
and if I specify the version of as
pip install azureml-pipeline==1.35.0
it shows the error as shown:
Requirement already satisfied: azureml-core~=1.35.0 in c:\essential_software\anaconda3\envs\pytorch-env\lib\site-packages (from azureml-pipeline-core~=1.35.0->azureml-pipeline==1.35.0) (1.35.0)
INFO: pip is looking at multiple versions of <Python from Requires-Python> to determine which version is compatible with other requirements. This could take a while.
INFO: pip is looking at multiple versions of azureml-pipeline-core to determine which version is compatible with other requirements. This could take a while.
INFO: pip is looking at multiple versions of azureml-pipeline to determine which version is compatible with other requirements. This could take a while.
ERROR: Could not find a version that satisfies the requirement azureml-train-automl-client~=1.35.0 (from azureml-pipeline-steps) (from versions: 1.0rc83, 1.0rc85, 1.0.76, 1.0.79, 1.0.81, 1.0.81.1, 1.0.83, 1.0.85, 1.0.85.1, 1.0.85.2, 1.0.85.3, 1.0.85.4, 1.1.0rc0, 1.1.1rc0, 1.1.2rc0, 1.1.5, 1.1.5.1, 1.1.5.2, 1.2.0, 1.3.0, 1.4.0, 1.5.0,
1.5.0.post1, 1.6.0, 1.6.0.post1, 1.7.0, 1.7.0.post1, 1.8.0, 1.9.0, 1.9.0.post1, 1.10.0, 1.11.0, 1.11.0.post1, 1.12.0, 1.12.0.post1, 1.12.0.post2, 1.13.0, 1.13.0.post1,
1.13.0.post2, 1.14.0, 1.14.0.post1, 1.15.0, 1.15.0.post1, 1.16.0, 1.17.0, 1.18.0)
ERROR: No matching distribution found for azureml-train-automl-client~=1.35.0
Replicate the issue:
pip install azureml-core
pip install azureml-pipeline
I uploaded a Python app to Heroku. In my requirements.txt file I have a line for ipython==7.17.0 but Heroku seems unable to retrieve it, I don't understand why this might happen because I'm able to download that ipython version on my machine.
The complete error thrown is:
ERROR: Could not find a version that satisfies the requirement ipython==7.17.0 (from -r /tmp/build_76afe907/requirements.txt (line 32)) (from versions: 0.10, 0.10.1, 0.10.2, 0.11, 0.12, 0.12.1, 0.13, 0.13.1, 0.13.2, 1.0.0, 1.1.0, 1.2.0, 1.2.1, 2.0.0, 2.1.0, 2.2.0, 2.3.0, 2.3.1, 2.4.0, 2.4.1, 3.0.0, 3.1.0, 3.2.0, 3.2.1, 3.2.2, 3.2.3, 4.0.0b1, 4.0.0, 4.0.1, 4.0.2, 4.0.3, 4.1.0rc1, 4.1.0rc2, 4.1.0, 4.1.1, 4.1.2, 4.2.0, 4.2.1, 5.0.0b1, 5.0.0b2, 5.0.0b3, 5.0.0b4, 5.0.0rc1, 5.0.0, 5.1.0, 5.2.0, 5.2.1, 5.2.2, 5.3.0, 5.4.0, 5.4.1, 5.5.0, 5.6.0, 5.7.0, 5.8.0, 5.9.0, 5.10.0, 6.0.0rc1, 6.0.0, 6.1.0, 6.2.0, 6.2.1, 6.3.0, 6.3.1, 6.4.0, 6.5.0, 7.0.0b1, 7.0.0rc1, 7.0.0, 7.0.1, 7.1.0, 7.1.1, 7.2.0, 7.3.0, 7.4.0, 7.5.0, 7.6.0, 7.6.1, 7.7.0, 7.8.0, 7.9.0, 7.10.0, 7.10.1, 7.10.2, 7.11.0, 7.11.1, 7.12.0, 7.13.0, 7.14.0, 7.15.0, 7.16.0, 7.16.1)
ERROR: No matching distribution found for ipython==7.17.0 (from -r /tmp/build_76afe907/requirements.txt (line 32))
The last allowed version is 7.16.1, that means you use Python 3.6.
7.17 requires Python 3.7+.
When I install turicreate package, it gives me the following error:
Collecting tensorflow>=2.0.0 (from turicreate)
Could not find a version that satisfies the requirement tensorflow>=2.0.0 (from turicreate) (from versions: 0.12.1, 1.0.0, 1.0.1, 1.1.0rc0, 1.1.0rc1, 1.1.0rc2, 1.1.0, 1.2.0rc0, 1.2.0rc1, 1.2.0rc2, 1.2.0, 1.2.1, 1.3.0rc0, 1.3.0rc1, 1.3.0rc2, 1.3.0, 1.4.0rc0, 1.4.0rc1, 1.4.0, 1.4.1, 1.5.0rc0, 1.5.0rc1, 1.5.0, 1.5.1, 1.6.0rc0, 1.6.0rc1, 1.6.0, 1.7.0rc0, 1.7.0rc1, 1.7.0, 1.7.1, 1.8.0rc0, 1.8.0rc1, 1.8.0, 1.9.0rc0, 1.9.0rc1, 1.9.0rc2, 1.9.0, 1.10.0rc0, 1.10.0rc1, 1.10.0, 1.10.1, 1.11.0rc0, 1.11.0rc1, 1.11.0rc2, 1.11.0, 1.12.0rc0, 1.12.0rc1, 1.12.0rc2, 1.12.0, 1.12.2, 1.12.3, 1.13.0rc0, 1.13.0rc1, 1.13.0rc2, 1.13.1, 1.13.2, 1.14.0rc0, 1.14.0rc1, 1.14.0, 2.0.0a0, 2.0.0b0, 2.0.0b1)
No matching distribution found for tensorflow>=2.0.0 (from turicreate)
which I encountered the same when installing tensorflow 2.0.0.
And I managed to install tensorflow2 with modification to the version(add a 'a0','b0','b1' after '2.0.0') using pip3 install tensorflow==2.0.0a0. However, I still cannot pass the installation of turicreate even with tensorflow2.0.0a0 installed and result in the same 'tensorflow error' shown above.
I am using python 3.6, numpy 1.16.5.
Can you please help me out?
Upgrade pip
# On Linux or macOS:
pip3 install -U pip
# On Windows:
python -m pip3 install -U pip
Install turicreate
pip3 install turicreate
This will solve your problem
I was having the same problem when I tried to install turicreate on the Jupyter Docker image that comes with some data science libraries loaded:
Image: jupyter/scipy-notebook
Packages: pandas, numexpr, matplotlib, scipy, seaborn, scikit-learn, scikit-image, sympy, cython, patsy, statsmodel, cloudpickle, dill, numba, bokeh, sqlalchemy, hdf5, vincent, beautifulsoup, protobuf, and xlrd packages
Error message:
Could not find a version that satisfies the requirement tensorflow>=2.0.0 (from turicreate) (from versions: 0.12.1, 1.0.0, 1.0.1, 1.1.0rc0, 1.1.0rc1, 1.1.0rc2, 1.1.0, 1.2.0rc0, 1.2.0rc1, 1.2.0rc2, 1.2.0, 1.2.1, 1.3.0rc0, 1.3.0rc1, 1.3.0rc2, 1.3.0, 1.4.0rc0, 1.4.0rc1, 1.4.0, 1.4.1, 1.5.0rc0, 1.5.0rc1, 1.5.0, 1.5.1, 1.6.0rc0, 1.6.0rc1, 1.6.0, 1.7.0rc0, 1.7.0rc1, 1.7.0, 1.7.1, 1.8.0rc0, 1.8.0rc1, 1.8.0, 1.9.0rc0, 1.9.0rc1, 1.9.0rc2, 1.9.0, 1.10.0rc0, 1.10.0rc1, 1.10.0, 1.10.1, 1.11.0rc0, 1.11.0rc1, 1.11.0rc2, 1.11.0, 1.12.0rc0, 1.12.0rc1, 1.12.0rc2, 1.12.0, 1.12.2, 1.12.3, 1.13.0rc0, 1.13.0rc1, 1.13.0rc2, 1.13.1, 1.13.2, 1.14.0rc0, 1.14.0rc1, 1.14.0, 2.0.0a0, 2.0.0b0, 2.0.0b1)
No matching distribution found for tensorflow>=2.0.0 (from turicreate)
However, when I took the basic (stripped) Jupyter image, it worked:
Image: jupyter/base-notebook
Packages: git, emacs, jed, nano, tzdata, and unzip
Installation instructions for turicreate:
from __future__ import print_function
import sys
!{sys.executable} -m pip install turicreate
Output:
Successfully installed absl-py-0.9.0 astor-0.8.1 cachetools-4.0.0 coremltools-3.1 gast-0.2.2 google-auth-1.10.0 google-auth-oauthlib-0.4.1 google-pasta-0.1.8 grpcio-1.26.0 h5py-2.10.0 keras-applications-1.0.8 keras-preprocessing-1.1.0 llvmlite-0.30.0 markdown-3.1.1 numba-0.46.0 numpy-1.16.4 opt-einsum-3.1.0 pandas-0.25.3 pillow-6.2.1 prettytable-0.7.2 protobuf-3.11.2 pyasn1-0.4.8 pyasn1-modules-0.2.7 pytz-2019.3 requests-oauthlib-1.3.0 resampy-0.2.1 rsa-4.0 scipy-1.4.1 tensorboard-2.0.2 tensorflow-2.0.0 tensorflow-estimator-2.0.1 termcolor-1.1.0 turicreate-6.0 werkzeug-0.16.0 wrapt-1.11.2
So, I guess the problem is that some of the libraries that you have installed in your environment conflict with turicreate. Perhaps you should try to use the above mentioned Docker image or try to create a virtual environment so you work in isolation (not tested this).
Info on the different Docker images:
https://jupyter-docker-stacks.readthedocs.io/en/latest/using/selecting.html#jupyter-scipy-notebook
Turicreate installation instructions where they comment on the virtual environment:
https://github.com/apple/turicreate#installation
Firstly, give try to a latest version of pip pip3 install -U pip, usually, it has less problems than previous.
Otherwise, if above fails, you can try running with pip3 install --no-deps turicreate to get past the cryptic error.
You'll need to install the dependencies manually. All 110 of them.
You can generate a list of them with something along these lines:
import os;
s = os.popen('pip3 freeze turicreate').read()
for q in [x.split('==')[0] for x in s.split('\n')]:
os.system('echo {} >> t.tmp'.format(q)
Then they can be installed with pip install -r t.tmp or for x in $(cat t.tmp); do pip3 install $x; done
I'm not sure how the funtionality related to the tensorflow or any other failed package is affected by this but I've managed to get simple sframes working with this method.
Then I've upgraded the pip and all the libs that weren't working installed without a problem.
Try upgrading pip. Tensorflow 2.0 needs newer versions of pip to be installed.
Personally this worked,
upgrade pip
installed tf2.0
installed turicreate.