opt_einsum | ⚡️Optimizing einsum functions in NumPy , Tensorflow , Dask | Machine Learning library
kandi X-RAY | opt_einsum Summary
kandi X-RAY | opt_einsum Summary
️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.
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- Returns a dict of the command class to use
- Extract the version information from the VCS
- Get the project root directory
- Build a ConfigParser from a root
- Combine two arrays
- Compute the size of a given list of indices
- Generate a random network
- Return a symbolic symbol
- Computes the optimal optimal path
- Compute the number of ops over the input
- Create the versioneer config file
- Extract version information from VCS
- Optimized algorithm for greedy optimization
- Compute the comparison between two gates
- Scans the setup py file
- Compute the union of two objectives
- Memoize to_backend
- Compute the cost between two devices
- Wrap the einsum computation
- Memoize a tensor
- Generate random contraction
- Compute the ssa path and cost function
- Wrap a transpose
- Compute the graph of constant variables
- Build the expression of the expression
- Build a tensorflow contract
opt_einsum Key Features
opt_einsum Examples and Code Snippets
Lines of Code : 144License : Non-SPDX (Apache License 2.0)
Copydef einsum(equation, *inputs, **kwargs):
r"""Tensor contraction over specified indices and outer product.
Einsum allows defining Tensors by defining their element-wise computation.
This computation is defined by `equation`, a shorthand form ba def _einsum_v2(equation, *inputs, **kwargs):
"""Implementation of einsum utilizing opt_einsum and EinsumOp."""
name = kwargs.pop('name', None)
optimize = kwargs.pop('optimize', 'greedy')
if kwargs:
raise TypeError(
f'Invalid keywo def _get_opt_einsum_contract_path(equation, shaped_inputs_tuple, optimize):
"""Returns the (memoized) result of opt_einsum.contract_path."""
# Note: We use einsum_call=True, which is an internal api for opt_einsum,
# to get the contraction path Community Discussions
Trending Discussions on opt_einsum
QUESTION
I have a matrix A with shape=(N, N) and a matrix B with the same shape=(N, N). I am constructing a matrix M using the following einsum (using the opt_einsum library):
...ANSWER
Answered 2021-Feb-13 at 20:01This may not help with your use of opt_einsum, but with a bit of reorganizing I can speed up np.einsum quite a bit, at least for small arrays.
Do a partial product of two B:
QUESTION
When I am installing tensorflow in python 3.8.0 then it shows error. How to downgrade python version without affecting other files.
...ANSWER
Answered 2021-Feb-03 at 11:25pip uninstall python 3.8.4
QUESTION
when I use anaconda python I can install this requirements.txt with no problem using pip install -r requirements.txt however, when I use venv, I get this error. Do you know how I can fix it? https://pastebin.com/raw/9eUc7H9x
...ANSWER
Answered 2021-Jan-07 at 00:02$ pip install pip --upgrade
$ pip install setuptools --upgrade
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Building wheels for collected packages: absl-py, termcolor, wrapt
Building wheel for absl-py (setup.py) ... done
Created wheel for absl-py: filename=absl_py-0.9.0-cp36-none-any.whl size=121931 sha256=85a9d87c8ec866ac12d5b25049a090ab949857c4d39d4793b368cff06c7e94ac
Stored in directory: /root/.cache/pip/wheels/8e/28/49/fad4e7f0b9a1227708cbbee4487ac8558a7334849cb81c813d
Building wheel for termcolor (setup.py) ... done
Created wheel for termcolor: filename=termcolor-1.1.0-cp36-none-any.whl size=4832 sha256=2c15675c61e919a4f30b0b4c575b43abf65cf7b7e671c24e2df484b0fcf669ff
Stored in directory: /root/.cache/pip/wheels/7c/06/54/bc84598ba1daf8f970247f550b175aaaee85f68b4b0c5ab2c6
Building wheel for wrapt (setup.py) ... done
Created wheel for wrapt: filename=wrapt-1.12.1-cp36-cp36m-linux_x86_64.whl size=67489 sha256=75a9a273381441c10d1d2bbe7305c9bb68ce54033a916bea154a55afc4a208c1
Stored in directory: /root/.cache/pip/wheels/b1/c2/ed/d62208260edbd3fa7156545c00ef966f45f2063d0a84f8208a
Successfully built absl-py termcolor wrapt
ERROR: kaggle 1.5.6 has requirement urllib3<1.25,>=1.21.1, but you'll have urllib3 1.25.10 which is incompatible.
ERROR: google-colab 1.0.0 has requirement google-auth~=1.17.2, but you'll have google-auth 1.20.1 which is incompatible.
ERROR: google-colab 1.0.0 has requirement requests~=2.23.0, but you'll have requests 2.24.0 which is incompatible.
ERROR: datascience 0.10.6 has requirement folium==0.2.1, but you'll have folium 0.8.3 which is incompatible.
ERROR: albumentations 0.1.12 has requirement imgaug<0.2.7,>=0.2.5, but you'll have imgaug 0.2.9 which is incompatible.
Installing collected packages: six, setuptools, protobuf, google-pasta, absl-py, termcolor, numpy, scipy, grpcio, h5py, werkzeug, wheel, pyasn1, pyasn1-modules, rsa, cachetools, google-auth, tensorboard-plugin-wit, idna, chardet, certifi, urllib3, requests, zipp, importlib-metadata, markdown, oauthlib, requests-oauthlib, google-auth-oauthlib, tensorboard, wrapt, opt-einsum, tensorflow-estimator, astunparse, gast, keras-preprocessing, tensorflow
Successfully installed absl-py-0.9.0 astunparse-1.6.3 cachetools-4.1.1 certifi-2020.6.20 chardet-3.0.4 gast-0.3.3 google-auth-1.20.1 google-auth-oauthlib-0.4.1 google-pasta-0.2.0 grpcio-1.31.0 h5py-2.10.0 idna-2.10 importlib-metadata-1.7.0 keras-preprocessing-1.1.2 markdown-3.2.2 numpy-1.18.5 oauthlib-3.1.0 opt-einsum-3.3.0 protobuf-3.12.4 pyasn1-0.4.8 pyasn1-modules-0.2.8 requests-2.24.0 requests-oauthlib-1.3.0 rsa-4.6 scipy-1.4.1 setuptools-49.2.1 six-1.15.0 tensorboard-2.3.0 tensorboard-plugin-wit-1.7.0 tensorflow-2.3.0 tensorflow-estimator-2.3.0 termcolor-1.1.0 urllib3-1.25.10 werkzeug-1.0.1 wheel-0.34.2 wrapt-1.12.1 zipp-3.1.0
ERROR: Exception:
Traceback (most recent call last):
File "/usr/lib/python3.6/shutil.py", line 550, in move
os.rename(src, real_dst)
FileNotFoundError: [Errno 2] No such file or directory: '/tmp/pip-target-x6fc9bjj/lib/python/protobuf-3.12.4-py3.6-nspkg.pth' -> '/content/notebooks/protobuf-3.12.4-py3.6-nspkg.pth'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.6/dist-packages/pip/_internal/cli/base_command.py", line 153, in _main
status = self.run(options, args)
File "/usr/local/lib/python3.6/dist-packages/pip/_internal/commands/install.py", line 505, in run
options.target_dir, target_temp_dir, options.upgrade
File "/usr/local/lib/python3.6/dist-packages/pip/_internal/commands/install.py", line 563, in _handle_target_dir
target_item_dir
File "/usr/lib/python3.6/shutil.py", line 564, in move
copy_function(src, real_dst)
File "/usr/lib/python3.6/shutil.py", line 263, in copy2
copyfile(src, dst, follow_symlinks=follow_symlinks)
File "/usr/lib/python3.6/shutil.py", line 121, in copyfile
with open(dst, 'wb') as fdst:
FileNotFoundError: [Errno 2] No such file or directory: '/content/notebooks/protobuf-3.12.4-py3.6-nspkg.pth'
WARNING: The following packages were previously imported in this runtime:
[cachetools,certifi,chardet,google,idna,numpy,oauthlib,pyasn1,pyasn1_modules,requests_oauthlib,rsa,six]
You must restart the runtime in order to use newly installed versions.
ANSWER
Answered 2020-Aug-11 at 02:03Google Colab usually have all the libraries pre-installled in it. Most of the time you will not need to install any library. In case you find that something is missing then you can install them easily using:
!pip install tensorflow==1.2
If you want to install system libs then :
!apt-get -qq install -y libfluidsynth1
see the syntax is similar to Jupyter Notebook
QUESTION
Am new to python and trying to run a project with Opencv.
Requirements.txt
...ANSWER
Answered 2020-Jun-19 at 01:12I believe it is because you are using pip3.8 to install the requirements and python3.7 to run the file. I think packages are not shared across python versions. To fix your issue I think you should run the file with python3.8 or install the requirements with pip3.7.
Hopefully, this helps.
QUESTION
I am building an android app with python integrated into it. I used chaquopy to integrate python with android. I have installed TensorFlow 2.2 for it with python version 3.6.6. It installs all other python libraries, but after seeing the logs it reports this error while installing TensorFlow 2.1.0.
Process 'command 'C:\Users\Armani\AppData\Local\Programs\Python\Python36\python.exe'' finished with non-zero exit value 1
The complete log of the build is attached. Please help me out resolving this error.
...ANSWER
Answered 2020-Jun-10 at 22:50The problem happens when you try to download the tensorflow library.
I found two links that might be interesting for you:
QUESTION
I am using anaconda as an environment manager for my code. When i installed anaconda and created the environments everything worked fine. But when i came back the next day and activated the environment i keep getting a ModuleNotFoundError
...ANSWER
Answered 2020-May-17 at 15:35This doesn't sound good: "When i installed python and anaconda i set both the installers to ADD TO PATH."
- Anaconda is a Python distribution. You need this one installer only.
- Don't add Anaconda's python.exe to the PATH. This is not how environments work.
- If you want to work with Anaconda, you need to activate at least the base environment using the 'conda' environment manager. This is how Python can find e.g. numpy's C-libraries.
- You can install Python from python.org in parallel to Anaconda, but this is asking for trouble.
QUESTION
As per the title, I get this common error when trying to use Keras to do some Image Classification training. Unlike nearly all of the other examples, I am not trying to customise anything and simply using bog-standard keras functionality! Like this, who asks a similar question, but doesn't appear to have followed up.
I previously had an issue with this same project, but after having upgraded cudnn, and cudatoolkit (and relevant NVidia backends) I get this new error.
Conda List:
...ANSWER
Answered 2020-May-05 at 10:03I think the problem is that you are clearing the session before training the model, doing this would make no sense, because clearing the session cleans the model structures in memory, so there would be no model representation in the TensorFlow side, making training fail.
So do not juse K.clear_session() in this case. It does not seem to be needed.
QUESTION
I have a NVIDIA 2070 RTX GPU, and my OS is Ubuntu20.04.
I have installed the tensorflow-gpu package with conda. I have not installed the CUDA-toolkit I believe it also installs the required libraries from the CUDA-toolkit to use gpu-acceleration, as conda install tensorflow-gpu gives the following list of packages that will be installed:
ANSWER
Answered 2020-May-01 at 10:52This seems to be a known bug in tensorflow, it has something to do with memory allocation that tensorflow is doing in 20XX cards. See detailed thread here:
https://github.com/tensorflow/tensorflow/issues/24496
What fixed the problem for me is adding the following code at the top of my script:
QUESTION
I have tried to install both CPU and GPU version of TensorFlow according to the manual from here https://docs.anaconda.com/anaconda/user-guide/tasks/tensorflow/ and all was ok:
(tf-gpu) C:\Users\Kosh>conda create -n tf tensorflow Collecting package metadata (current_repodata.json): done Solving environment: done
==> WARNING: A newer version of conda exists. <== current version: 4.7.12 latest version: 4.8.3
Please update conda by running
...
ANSWER
Answered 2020-Apr-13 at 23:36It worked for me:
Run the anaconda prompt as administrator.(right click-> run as administrator).
pip uninstall tensorflow.
Close anaconda prompt.
Again run anaconda prompt as administrator.
type: conda install tensorflow It will ask for some y / n Type y.
Now after all done, change your python interpreter's environment to anaconda environment where you installed tensorflow.
After that tensorflow imported successfully!
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