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System information

• TensorFlow version: 1.13.1
• Doc Link: https://www.tensorflow.org/api_docs/python/tf/cus

As discussed in #3926, the following files do not have .py extensions because TensorFlow does not yet support the current Python.

• dynamic_programming/k_means_clustering_tensorflow.py_tf
• machine_learning/lstm/lstm_prediction.py_tf
• neural_network/gan.py_tf
• neural_network/input_data.py_tf

TODO: Restore the .py file extensions

(e.g. for links and images), because some of these examples are now being rendered in the docs.

Added by @fchollet in requests for contributions.

🐛 Bug

I stumbled upon excessive CPU usage for my training code running on GPU. After some investigations I found the culprit.
It basically was

x = torch.eye(256).to('cuda') 

To Reproduce

This is quick and loads single CPU core.

%%timeit
    torch.eye(181)
6.43 µs ± 218 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each)

This is 3 times slowe

Most functions in scipy.linalg functions (e.g. svd, qr, eig, eigh, pinv, pinv2 ...) have a default kwarg check_finite=True that we typically leave to the default value in scikit-learn.

As we already validate the input data for most estimators in scikit-learn, this check is redundant and can cause significant overhead, especially at predict / transform time. We should probably a

Summary

Usage of HttpCompressionMiddleware needs to be relfected in Scrapy stats.

Motivation

In order to estimate scrapy memory usage efficiency and prevent.. memory leaks like this.
I will need to know:

1. number of request/response objects that can be active (can be achieved by using [trackref](https://docs.scrapy.org/en/latest/topi

Screenshot

attached

Description

1. click one dashboard
2. in the dashboard page, the table on the left part has the name and count attributes. next to the name attribute, the sorting label was placed too far away from its text.

<img width="1402" alt="Screen Shot 2021-01-15 at 2 35 11 AM" src="https://user-images.githubusercontent.com/4502866/104715562-930f1d80-56db-11eb-8cb1-b2

Hello everyone, I will explain the current status of manim in this issue.

Now there are three main manim versions, and their differences:

1. The master branch of 3b1b/manim: (probably the most used currently) rendering on the CPU using cairo, currently stable.
2. The shaders branch of 3b1b/manim: (Grant is making, usi

example here: https://github.com/pandas-dev/pandas/pull/37367/files#diff-69c698518ca64a05f8b137ff9bb5445ce9fd21139b396e9b0d4ce7338b2a3984R132

we should just ban this with a precommit style rule (and import things directly). the doc-strings also should be updated to do the import once.

grep -r pd.api.types ~/pandas-dev/pandas
/home/jreback/pandas-dev/pandas/_libs/lib.pyx:    >>> pd.api.

In all of our current uses of os.umask or filesystem.umask, we always temporarily set it to a different value and then restore it using a try/finally block. I expect this pattern to continue.

Because of that, why don't we create a simple function in certbot.util that can be used as a context manager to set umask to a value and restore it to its previous value when exiting the with blo