Published May 23, 2021
| Version rel-2.0.9
Software
Open
pymc-devs/aesara:
Creators
- Frédéric Bastien1
- Pascal Lamblin
- abergeron
- Ian Goodfellow
- Razvan Pascanu
- carriepl
- Brandon T. Willard
- notoraptor
- David Warde-Farley
- Roy Xue2
- James Bergstra3
- harlouci
- Mohammed Affan
- Ramana Subramanyam
- Reyhane Askari4
- maqianlie5
- Suresh Pannerselvam
- Alexander Belopolsky
- Joseph Turian
- ballasn
- Gijs van Tulder
- Simon Lefrancois6
- Amjad Almahairi
- Hengjean
- Nicolas Bouchard
- khaotik
- Caglar Gulcehre
- Jeremiah Lowin7
- Alexander Matyasko8
- Jan Schlüter
- 1. NVIDIA
- 2. FITURE
- 3. kindred.ai
- 4. MILA @ Université de Montréal
- 5. Northeastern University
- 6. Université de Montréal
- 7. @PrefectHQ
- 8. Imperial College London
Description
The following changes were made in this release:
- Explicitly add
gcc
DLL directory on Windows for Python >= 3.8 - Added chi-squared
RandomVariable
- Fixed an attribute error in
Scan
's exception handling - Reverted
FunctionGraph
replacement warnings - Renamed
aesara.graph.toolbox
toaesara.graph.features
- Moved
is_same_graph_with_merge
andis_same_graph
toaesara.graph.opt_utils
- Added
aesara.graph.opt_utils.optimize_graph
function to simplify running optimizations/rewrites on graphs - Added
atleast_*d
andexpand_dims
functions - Added
broadcast_arrays
function - Renamed
Query
toOptimizationQuery
andDB
toOptimizationDatabase
- Exposed
aesara.tensor.random.basic
viaaesara.tensor.random
, so, now, random variables can be created viaimport aesara.tensor as aet; aet.random.*
- NumPy
dtype
objects (e.g.np.int32
,np.float64
) can be used when specifyingdtype
s to tensor and scalar construction functions andcast
Files
pymc-devs/aesara-rel-2.0.9.zip
Files
(8.3 MB)
Name | Size | Download all |
---|---|---|
md5:6bfa7f1181af77c487174c2ab3b06b0d
|
8.3 MB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/pymc-devs/aesara/tree/rel-2.0.9 (URL)