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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.

🚀 Feature

Add support for torch.max with:

• CUDA bfloat16
• CPU float16 and bfloat16

Motivation

Currently, torch.max has support for CUDA float16:

>>> torch.rand(10, dtype=torch.float16, device='cuda').max()
tensor(0.8530, device='cuda:0', dtype=torch.float16)

But all three other combinations of CPU/CUDA and float16/bfloat16 are not supported:

>>> torch.ra

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

Description

On scrapy crawl spidername
Original purpose of spiderloader is to search and load requred spider by it's name.
Hovewer current implementation of SpiderLoader literally import all project spider modules and hold it in memory up to end of process (even for cases when we need to load single spider for `

Looks like this line is the cause
https://github.com/apache/superset/blob/94b6b29362ffec0dffc623c002a2cfd2153a6807/superset/viz.py#L1459

Expected results

Legends to show up as normal text

Actual results

chart keys show up as tuples

Screenshots

<img width="342" alt="Screen Shot 2021-02-03 at 11 11 25 PM" src="https://user-images.githubusercontent.com/20442310/1068477

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: Rendering on GPU using OpenGL and moderngl. Support interaction and have higher efficiency.
2. ManimCommunity/manim: (@ManimCommunity

Location of the documentation

https://pandas.pydata.org/docs/development/contributing.html

Documentation problem

The page is long and covers a lot:

• Environment setup
• The mechanics of contributing to code and docs
• Code standards

Suggested fix for documentation

I suggest streamlining the primary Contributing page to be about the basic workflow, splitting out

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