-
Notifications
You must be signed in to change notification settings - Fork 22
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.
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
Update dpnp.linalg.svd() function #1604
Conversation
View rendered docs @ https://intelpython.github.io/dpnp/index.html |
c6667e1
to
9d5afde
Compare
|
||
if compute_uv: | ||
out_u = dpnp.array(u_matrices, order="F") | ||
out_vt = dpnp.array(vt_matrices, order="F") |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Need to return C-contiguous
array to match the output of numpy.linalg.svd
ht_lapack_ev.wait() | ||
a_ht_copy_ev.wait() | ||
|
||
if compute_uv: |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Need to return C-contiguous
array to match the output of numpy.linalg.svd
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Thank you @vlad-perevezentsev
* Draft commit of dpnp.linalg.svd impl * Pass empty arrays if compute_uv=False * Add logic for the input array n < m * Add a new cupy test_decomposition * Rename gesvd input parameters * Correspondence of passed parameters to gesvd signature * Correct initialization of result variables in dpnp_svd * Update test_decomposition * Add implementation of _dpnp_svd_batch * Add test_decomposition to the scope of public CI * Improve error handling for mkl_lapack::gesvd function * Declate detail variable * Use a_usm_type and a_sycl_queue variables * Add additional checks for gesvd function * Remove old dpnp_svd backend * Refresh test_svd in test_linalg * Add detailed comments for gesvd arguments * gesvd returns pair of events and uses dpctl.utils.keep_args_alive * Keep a lexicographical order * Update docstrings for svd * Add test_svd to test_usm_type * Add a new impl to get s_type * Add a description for _stacked_identity * Simplify dpnp_svd_batch * Update tests for dpnp.linalg.svd * Add hermitian argument support * Add test_svd_hermitian * Update svd docstrings * Tune tolerance * Update test_svd_errors * Update _common_type and _common_inexact_type * Remove passing n and m parameteres to _gesvd * Simplify results return logic for dpnp_svd_batch * Update condition and random files in cupy/testing to use fix_random and repeat decorators * Rename cupy/testing/condition.py to .../_condition.py * Use self._tol in TestSvd * Update gesvd error handler * dpnp_svd works with F contiguous arrays * Add additional checks for output arrays * Impl parallel calculation in dpnp_svd_batch * Skip using @_condition.repeat in cupy tests * Add additional checks for output arrays * Update docstrings for svd * Use dpctl.SyclEvent.wait_for in dpnp_svd_batch * Add TODO : matching the order of returned arrays * Skip cupy tests on windows * Rename condition to _condition * Set setUpClass to skip cupy tests on cpu c7770fd
This PR update
dpnp.linalg.svd()
function to calculate the Singular Value Decomposition usingoneapi::mkl::lapack::gesvd
The implementation is written as a pybind11 extension above required LAPACK functions.
The changes are related to support of all types and support of function arguments as
full_matrices
andcompute_uv