Hi, I've moved to Cuda 11.0 and I am getting warnings below while compiling. I just can't remember exactly, but I don't think I saw these with 10.2. I don't know if it related, but run_test.py is also failing when it comes to Distribution related tests. I can post test's log when the build is complete, if it is helpful. Thank you.

[3950/5005] Building NVCC (Device) object caffe2/CMakeF

Improve navigation of the I/O how-to by prepending a decision tree/flowchart using an image or graphviz, as suggested by @mattip.

Hi all, I've got a doc suggestion for https://docs.dask.org/en/latest/dataframe-groupby.html#aggregate

The documentation makes it look easy to write a custom Aggregation function but it doesn't note the steps need to access the numbers behind an existing SeriesGroupBy object - this cost me a couple of hours of trial and error.

My suggestion would be to add something like the following to

.join seems to not work properly with unicode arrays. Here is a reproducer:

In [16]: str_arr = np.array(["hi", "there"])

In [17]: ",".join(str_arr)
Out[17]: 'hi,there'
In [18]: numba.njit(lambda str_arr: ",".join(str_arr))(str_arr)
TypingError: Failed in nopython mode pipeline (step: nopython frontend)
- Resolution failure for literal arguments:
No implementation of function 

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

The current version of the HANS dataset is missing the additional information provided for each example, including the sentence parses, heuristic and subcase.

Description

TVM support has been added in dmlc/gluon-nlp#1390. Also, we updated our benchmarking utility to support profiling the inference speed of TVM: https://github.com/dmlc/gluon-nlp/tree/master/scripts/benchmarks. We can further improve our document.

• Attach the benchmark numbers. (Good for beginners)
• Add a tutorial about how to convert GluonNLP mod

Support Series.median()

MCVE Code Sample

# Your code here
import numpy as np
import xarray as xr

data = np.zeros((10, 4))
example_xr = xr.DataArray(data, coords=[range(10), ["

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