{func}jax.scipy.linalg.qr now returns a length-1 tuple rather than the raw array when mode='r', in order to match the behavior of scipy.linalg.qr ({jax-issue}[#10452](https://github.com/google/jax/issues/10452))
{func}jax.numpy.take_along_axis now takes an optional mode parameter that specifies the behavior of out-of-bounds indexing. By default, invalid values (e.g., NaN) will be returned for out-of-bounds indices. In previous versions of JAX, invalid indices were clamped into range. The previous behavior can be restored by passing mode="clip".
{func}jax.numpy.take now defaults to mode="fill", which returns invalid values (e.g., NaN) for out-of-bounds indices.
Scatter operations, such as x.at[...].set(...), now have "drop" semantics. This has no effect on the scatter operation itself, but it means that when differentiated the gradient of a scatter will yield zero cotangents for out-of-bounds indices. Previously out-of-bounds indices were clamped into range for the gradient, which was not mathematically correct.
{func}jax.numpy.take_along_axis now raises a TypeError if its indices are not of an integer type, matching the behavior of
{func}numpy.take_along_axis. Previously non-integer indices were silently cast to integers.
{func}jax.numpy.ravel_multi_index now raises a TypeError if its dims argument is not of an integer type, matching the behavior of {func}numpy.ravel_multi_index. Previously non-integer dims was silently cast to integers.
{func}jax.numpy.split now raises a TypeError if its axis argument is not of an integer type, matching the behavior of {func}numpy.split. Previously non-integer axis was silently cast to integers.
{func}jax.numpy.indices now raises a TypeError if its dimensions are not of an integer type, matching the behavior of {func}numpy.indices. Previously non-integer dimensions were silently cast to integers.
{func}jax.numpy.diag now raises a TypeError if its k argument is not of an integer type, matching the behavior of {func}numpy.diag. Previously non-integer k was silently cast to integers.
Added {func}jax.random.orthogonal.
Deprecations
Many functions and objects available in {mod}jax.test_util are now deprecated and will raise a warning on import. This includes cases_from_list, check_close, check_eq, device_under_test, format_shape_dtype_string, rand_uniform, skip_on_devices, with_config, xla_bridge, and _default_tolerance ({jax-issue}[#10389](https://github.com/google/jax/issues/10389)). These, along with previously-deprecated JaxTestCase, JaxTestLoader, and BufferDonationTestCase, will be removed in a future JAX release. Most of these utilites can be replaced by calls to standard python & numpy testing utilities found in e.g. {mod}unittest, {mod}absl.testing, {mod}numpy.testing, etc. JAX-specific functionality such as device checking can be replaced through the use of public APIs such as {func}jax.devices. Many of the deprecated utilities will still exist in {mod}jax._src.test_util, but these are not public APIs and as such may be changed or removed without notice in future releases.
JAX release v0.3.7
Fixed a performance problem if the indices passed to jax.numpy.take_along_axis were broadcasted (#10281).
jax.scipy.special.expit and jax.scipy.special.logit now require their arguments to be scalars or JAX arrays. They also now promote integer arguments to floating point.
The DeviceArray.tile() method is deprecated, because numpy arrays do not have a tile() method. As a replacement for this, use jax.numpy.tile (#10266).
Jaxlib v0.3.7
Linux wheels are now built conforming to the manylinux2014 standard, instead of manylinux2010.
JAX release v0.3.6
Changes:
Upgraded libtpu wheel to the fixed version. Fixes #10218.
JAX release v0.3.5
Changes
added jax.random.loggamma & improved behavior of jax.random.beta
and jax.random.dirichlet for small parameter values (#9906).
the private lax_numpy submodule is no longer exposed in the jax.numpy namespace (#10029).
added array creation routines jax.numpy.frombuffer, jax.numpy.fromfunction,
and jax.numpy.fromstring (#10049).
DeviceArray.copy() now returns a DeviceArray rather than a np.ndarray (#10069)
added jax.scipy.linalg.rsf2csf
Deprecations:
jax.nn.normalize is being deprecated. Use jax.nn.standardize instead (#9899).
jax.tree_util.tree_multimap is deprecated. Use jax.tree_util.tree_map instead (#5746).
jax.experimental.sharded_jit is deprecated. Use pjit instead.
{func}jax.scipy.linalg.qr now returns a length-1 tuple rather than the raw array when
mode='r', in order to match the behavior of scipy.linalg.qr ({jax-issue}[#10452](https://github.com/google/jax/issues/10452))
{func}jax.numpy.take_along_axis now takes an optional mode parameter
that specifies the behavior of out-of-bounds indexing. By default,
invalid values (e.g., NaN) will be returned for out-of-bounds indices. In
previous versions of JAX, invalid indices were clamped into range. The
previous behavior can be restored by passing mode="clip".
{func}jax.numpy.take now defaults to mode="fill", which returns
invalid values (e.g., NaN) for out-of-bounds indices.
Scatter operations, such as x.at[...].set(...), now have "drop" semantics.
This has no effect on the scatter operation itself, but it means that when
differentiated the gradient of a scatter will yield zero cotangents for
out-of-bounds indices. Previously out-of-bounds indices were clamped into
range for the gradient, which was not mathematically correct.
{func}jax.numpy.take_along_axis now raises a TypeError if its indices
are not of an integer type, matching the behavior of
{func}numpy.take_along_axis. Previously non-integer indices were silently
cast to integers.
{func}jax.numpy.ravel_multi_index now raises a TypeError if its dims argument
is not of an integer type, matching the behavior of
{func}numpy.ravel_multi_index. Previously non-integer dims was silently
cast to integers.
{func}jax.numpy.split now raises a TypeError if its axis argument
is not of an integer type, matching the behavior of
{func}numpy.split. Previously non-integer axis was silently
cast to integers.
{func}jax.numpy.indices now raises a TypeError if its dimensions
are not of an integer type, matching the behavior of
{func}numpy.indices. Previously non-integer dimensions were silently
cast to integers.
{func}jax.numpy.diag now raises a TypeError if its k argument
is not of an integer type, matching the behavior of
{func}numpy.diag. Previously non-integer k was silently
cast to integers.
Added {func}jax.random.orthogonal.
Deprecations
... (truncated)
Commits
290c90d Trivial change for backward compatibility stub.
a682a37 Merge pull request #10509 from mattjj:avoid-units-linear-transpose
c01fed9 Merge pull request #10508 from mattjj:avoid-units-lax-reduce
e3a1b7f Merge pull request #10507 from mattjj:avoid-units-new-remat
874374c Raise a better error when assert fails in mesh_sharding_specs
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dependabot[bot]
commented
2 years ago
Bumps jax from 0.2.8 to 0.3.8.
Release notes
Sourced from jax's releases.
... (truncated)
Changelog
Sourced from jax's changelog.
... (truncated)
Commits
290c90dTrivial change for backward compatibility stub.a682a37Merge pull request #10509 from mattjj:avoid-units-linear-transposec01fed9Merge pull request #10508 from mattjj:avoid-units-lax-reducee3a1b7fMerge pull request #10507 from mattjj:avoid-units-new-remat874374cRaise a better error when assert fails in mesh_sharding_specs0208490[linalg] Add tpu svd lowering rule.b90df4bMerge pull request #10506 from mattjj:remove-partial-eval-to-jaxpr-dynamic65bff3c[remove-units] avoid unit-generating function in jax.linear_transposef970f58[remove-units] avoid unit-generating function in lax.reducefb4731dMerge pull request #10502 from jakevdp:fix-mystDependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
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