Anirudh Dagar

Results 20 issues of Anirudh Dagar

*Description of changes:* Earlier `d2l.torch` was repeated twice. By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your...

Currently, the only missing chapter in the PyTorch port of the book is [Recommender Systems](https://d2l.ai/chapter_recommender-systems/index.html). Given the number of requests that we have been receiving regarding this section, and rising...

enhancement
pytorch-adapt-track

It will be useful to add a d2l bot command to specify running only a few chapters or sections. For example, a change in #2121 needs to be tested against...

enhancement
CI

The d2l library has various dependencies which are currently unpinned and install the latest (or collecting the cached) version of that dependency library. See below: https://github.com/d2l-ai/d2l-en/blob/f742ee4b4d503187e6ced5dcc9ae54b955c7b0e4/setup.py#L4-L11 This leads to non-reproducible...

The section on [auto-parallelism](http://preview.d2l.ai/d2l-en/master/chapter_computational-performance/auto-parallelism.html) sometimes fails and raise out of memory CUDA runtime errors on CI randomly. See the failing CI for more details [here](http://ci.d2l.ai/blue/organizations/jenkins/d2l-en/detail/PR-1810/2/pipeline/). Pitch: Maybe reduce the size...

pytorch-adapt-track

We need to provide more context regarding the difference in pytorch and mxnet async computation. By default all gpu operations are asynchronous and we currently leverage this in pytorch. mxnet...

pytorch-adapt-track

The scratch version of SSD is currently much slower than its counterpart PyTorch scratch implementation.

mxnet

The loss/accuracy plots are problematic for both MXNet and PyTorch. @mli @astonzhang http://preview.d2l.ai/d2l-en/master/chapter_convolutional-modern/nin.html

#### Reference PR gh-8707 #### What does this implement/fix? ``` >>> from scipy import datasets # Example ascent dataset loading with the new module >>> datasets.ascent() array([[ 83, 83, 83,...

enhancement
scipy.misc

#### Reference issue Closes #15608 #### What does this implement/fix? Completely deprecate `scipy.misc`. TODO: Replace `scipy.stats.rv_continuous` usage of `misc.derivative`. #### Question As discussed in the mailing list `central_diff_weights` and `derivative`...

scipy.misc
deprecated