Skip to content

Add multivariate distributions and permutations to dpnp.random.Generator #3160

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
ndgrigorian wants to merge 3 commits into
base: feature/device-rng-discrete
Choose a base branch
from
Open

Add multivariate distributions and permutations to dpnp.random.Generator #3160

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
7cc0034
Add multivariate distributions and permutations to dpnp.random.Generator
ndgrigorian Nov 4, 2026
dd5feab
Pass dpnp arrays straight to the asserts of the multivariate tests
ndgrigorian Nov 7, 2026
9dab4d3
Pass the dpnp array straight to assert_array_equal in the permuted test
ndgrigorian Nov 7, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 1 addition & 0 deletions CHANGELOG.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -15,6 +15,7 @@ This release drops support for Python 3.10, making Python 3.11 the minimum requi
* Added the `dpnp.random.Generator` API with `default_rng`, `BitGenerator`, `SeedSequence` and the `Philox4x3210` bit generator, sampling on the device with the device RNG API of oneMKL or oneMath [#3157](https://github.com/IntelPython/dpnp/pull/3157)
* Added the continuous distributions of `numpy.random.Generator`, such as `gamma`, `beta` and `vonmises`, to `dpnp.random.Generator` [#3158](https://github.com/IntelPython/dpnp/pull/3158)
* Added `integers` and the discrete distributions of `numpy.random.Generator`, such as `poisson`, `binomial` and `hypergeometric`, to `dpnp.random.Generator`, along with `noncentral_chisquare` and `noncentral_f` [#3159](https://github.com/IntelPython/dpnp/pull/3159)
* Added the multivariate distributions, `permutation`, `shuffle`, `permuted`, `choice` and `bytes` to `dpnp.random.Generator` [#3160](https://github.com/IntelPython/dpnp/pull/3160)

### Changed

Expand Down
19 changes: 19 additions & 0 deletions doc/reference/random.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -67,6 +67,8 @@ Differences from NumPy
NumPy's rejection test rounds to accepting every sample above ``2**53``,
which makes its tail too heavy for ``a`` close to 1.
* ``hypergeometric`` requires ``ngood`` and ``nbad`` below ``10**9``.
* :meth:`Generator.shuffle` only accepts a :class:`dpnp.ndarray`, as in
CuPy.
* Generators and bit generators cannot be pickled or deep-copied, and the
bit generators have no ``advance`` or ``jumped`` method.

Expand Down Expand Up @@ -101,6 +103,19 @@ Simple random data

Generator.integers
Generator.random
Generator.choice
Generator.bytes

Permutations
^^^^^^^^^^^^

.. autosummary::
:toctree: generated/
:nosignatures:

Generator.shuffle
Generator.permutation
Generator.permuted

Distributions
^^^^^^^^^^^^^
Expand All @@ -112,6 +127,7 @@ Distributions
Generator.beta
Generator.binomial
Generator.chisquare
Generator.dirichlet
Generator.exponential
Generator.f
Generator.gamma
Expand All @@ -122,6 +138,9 @@ Distributions
Generator.logistic
Generator.lognormal
Generator.logseries
Generator.multinomial
Generator.multivariate_hypergeometric
Generator.multivariate_normal
Generator.negative_binomial
Generator.noncentral_chisquare
Generator.noncentral_f
Expand Down
Loading
Loading