NumPy

📚 The doc issue

The documentation of multilabel_soft_margin_loss misses reduction parameter.

Suggest a potential alternative/fix

The right signature should be

torch.nn.functional.multilabel_soft_margin_loss(input, target, weight=None, size_average=None, reduction='mean') → 

Started in #13104, turned into a tracking issue here.

Turning on -n in sphinx-build results in over 1000 warnings about bad references in docs. Trying to break these down with various grep statements, it seems about 200 are from numpy.ma, about 150 from polynomial and about 150 from c:type. That is under half of the WARNINGS.

~My workflow is to cd to the doc directory, modify the `ALLSPHIN

I noticed our release version anchor links in the changelog don't actually reference a specific released version. If I go to the changelog and click on the 2021.12.0 link, I'm redirected to https://docs.dask.org/en/stable/changelog.html#id1 when, naively, I would have expected this link to look like https://docs.dask.org/en/stable/changelog.html#2021.12.0 (or something similar). As you move down

I see comments suggesting adding this to understand how loops are being handled by numba, and in the their own FAQ (https://numba.pydata.org/numba-doc/latest/user/faq.html)

from llvmlite import binding as llvm
llvm.set_option('','--debug-only=loop-vectorize')

You would then create your njit function and run it, and I believe the idea is that it prints debug information about whether

Is there a way to train a bidirectional RNN (like LSTM or GRU) on trax nowadays?

Description

Change the signature of cupy.{percentile,quantile} to provide exactly the same API as NumPy.

I think it's ok to implement overwrite_input as nop (just ignore the option).

Additional Information

No response

环境

1.系统环境：

• Ubuntu 20.04.2 LTS x86_64
• GLIBCXX: 3.4.28 (libstdc++.so.6.0.28)
• GPU:
  

2.MegEngine版本：1.6.0rc1
3.python版本：Python 3.8.10

The program stuck at net.load when I was trying to use the MegFlow. I wait for more than 10min and there is no sign of finishing it.

hi,
if possible, please add these indicators as well:
TDI (Traders Dynamic Index)
chandelier exit
pivot points
BOP (balance of power)
CTM (Chande trend meter)
Coppock Curve
Correlation Coefficient
PMO (DecisionPoint Price Momentum Oscillator)
Ulcer Index
most of them except TDI are available on stockcharts.com
thanks

pydata/xarray#5865 (reply in thread)

I wonder if it's possible to implement a built-in function like:
da.str.format("%.2f") or xr.string_format(da, "%.2f)

To wrap:

import xarray as xr

da = xr.DataArray([5., 6., 7.])
das = xr.DataArray("%.2f")
das.str % da

<xarray.DataArray (dim_0: 3)>
array(['5.00', '6.00', '7.00'], dtype='<U4')
Dim