api-change:batch: Improvements of integration between AWS Batch and EC2.
api-change:inspector2: Update the correct format of key and values for resource tags
api-change:quicksight: Amazon QuickSight launches Customer Managed Key (CMK) encryption for Data Source metadata
api-change:sagemaker: Introduce Endpoint and EndpointConfig Arns in sagemaker:ListPipelineExecutionSteps API response
api-change:sesv2: Marking use case description field of account details as deprecated.
feature:signing: Adds internal support for the new 'auth' trait to allow a priority list of auth types for a service or operation.
1.34.162
api-change:docdb: This release adds Global Cluster Failover capability which enables you to change your global cluster's primary AWS region, the region that serves writes, during a regional outage. Performing a failover action preserves your Global Cluster setup.
api-change:ecs: This release introduces a new ContainerDefinition configuration to support the customer-managed keys for ECS container restart feature.
api-change:iam: Make the LastUsedDate field in the GetAccessKeyLastUsed response optional. This may break customers who only call the API for access keys with a valid LastUsedDate. This fixes a deserialization issue for access keys without a LastUsedDate, because the field was marked as required but could be null.
api-change:s3: Amazon Simple Storage Service / Features : Adds support for pagination in the S3 ListBuckets API.
1.34.161
api-change:codebuild: AWS CodeBuild now supports using Secrets Manager to store git credentials and using multiple source credentials in a single project.
1.34.160
api-change:amplify: Add a new field "cacheConfig" that enables users to configure the CDN cache settings for an App
api-change:appstream: This release includes following new APIs: CreateThemeForStack, DescribeThemeForStack, UpdateThemeForStack, DeleteThemeForStack to support custom branding programmatically.
api-change:fis: This release adds support for additional error information on experiment failure. It adds the error code, location, and account id on relevant failures to the GetExperiment and ListExperiment API responses.
api-change:glue: Add AttributesToGet parameter support for Glue GetTables
api-change:neptune-graph: Amazon Neptune Analytics provides a new option for customers to load data into a graph using the RDF (Resource Description Framework) NTRIPLES format. When loading NTRIPLES files, use the value convertToIri for the blankNodeHandling parameter.
1.34.159
api-change:compute-optimizer: Doc only update for Compute Optimizer that fixes several customer-reported issues relating to ECS finding classifications
api-change:config: Documentation update for the OrganizationConfigRuleName regex pattern.
api-change:ec2: This release adds new capabilities to manage On-Demand Capacity Reservations including the ability to split your reservation, move capacity between reservations, and modify the instance eligibility of your reservation.
api-change:eks: Added support for new AL2023 GPU AMIs to the supported AMITypes.
api-change:groundstation: Updating documentation for OEMEphemeris to link to AWS Ground Station User Guide
api-change:medialive: AWS Elemental MediaLive now supports now supports editing the PID values for a Multiplex.
api-change:sagemaker: Releasing large data support as part of CreateAutoMLJobV2 in SageMaker Autopilot and CreateDomain API for SageMaker Canvas.
We anticipate that this will be the last release of JAX and jaxlib
supporting a monolithic CUDA jaxlib. Future releases will use the CUDA
plugin jaxlib (e.g. pip install jax[cuda12]).
JAX now requires ml_dtypes version 0.4.0 or newer.
Removed backwards-compatibility support for old usage of the
jax.experimental.export API. It is not possible anymore to use
from jax.experimental.export import export, and instead you should use
from jax.experimental import export.
The removed functionality has been deprecated since 0.4.24.
Deprecations
jax.sharding.XLACompatibleSharding is deprecated. Please use
jax.sharding.Sharding.
jax.experimental.Exported.in_shardings has been renamed as
jax.experimental.Exported.in_shardings_hlo. Same for out_shardings.
The old names will be removed after 3 months.
Removed a number of previously-deprecated APIs:
from {mod}jax.core: non_negative_dim, DimSize, Shape
from {mod}jax.lax: tie_in
from {mod}jax.nn: normalize
from {mod}jax.interpreters.xla: backend_specific_translations,
translations, register_translation, xla_destructure,
TranslationRule, TranslationContext, XlaOp.
The tol argument of {func}jax.numpy.linalg.matrix_rank is being
deprecated and will soon be removed. Use rtol instead.
The rcond argument of {func}jax.numpy.linalg.pinv is being
deprecated and will soon be removed. Use rtol instead.
The deprecated jax.config submodule has been removed. To configure JAX
use import jax and then reference the config object via jax.config.
{mod}jax.random APIs no longer accept batched keys, where previously
some did unintentionally. Going forward, we recommend explicit use of
{func}jax.vmap in such cases.
New Functionality
Added {func}jax.experimental.Exported.in_shardings_jax to construct
shardings that can be used with the JAX APIs from the HloShardings
xmap has been deleted. Please use {func}shard_map as the replacement.
Changes
The minimum CuDNN version is v9.1. This was true in previous releases also,
but we now declare this version constraint formally.
The minimum Python version is now 3.10. 3.10 will remain the minimum
supported version until July 2025.
The minimum NumPy version is now 1.24. NumPy 1.24 will remain the minimum
supported version until December 2024.
The minimum SciPy version is now 1.10. SciPy 1.10 will remain the minimum
supported version until January 2025.
{func}jax.numpy.ceil, {func}jax.numpy.floor and {func}jax.numpy.trunc now return the output
of the same dtype as the input, i.e. no longer upcast integer or boolean inputs to floating point.
libdevice.10.bc is no longer bundled with CUDA wheels. It must be
installed either as a part of local CUDA installation, or via NVIDIA's CUDA
pip wheels.
{class}jax.experimental.pallas.BlockSpec now expects block_shape to
be passed beforeindex_map. The old argument order is deprecated and
will be removed in a future release.
Updated the repr of gpu devices to be more consistent
with TPUs/CPUs. For example, cuda(id=0) will now be CudaDevice(id=0).
Added the device property and to_device method to {class}jax.Array, as
part of JAX's Array API support.
Deprecations
Removed a number of previously-deprecated internal APIs related to
polymorphic shapes. From {mod}jax.core: removed canonicalize_shape,
dimension_as_value, definitely_equal, and symbolic_equal_dim.
HLO lowering rules should no longer wrap singleton ir.Values in tuples.
Instead, return singleton ir.Values unwrapped. Support for wrapped values
will be removed in a future version of JAX.
{func}jax.experimental.jax2tf.convert with native_serialization=False
or enable_xla=False is now deprecated and this support will be removed in
a future version.
Native serialization has been the default since JAX 0.4.16 (September 2023).
The previously-deprecated function jax.random.shuffle has been removed;
instead use jax.random.permutation with independent=True.
jaxlib 0.4.31 (July 29, 2024)
Bug fixes
Fixed a bug that meant that negative static_argnums to a jit were mishandled
by the jit dispatch fast path.
Fixed a bug that meant triangular solves of batches of singular matrices
produce nonsensical finite values, instead of inf or nan (#3589, #15429).
jax.tree.map(f, None, non-None) now emits a DeprecationWarning, and will
raise an error in a future version of jax. None is only a tree-prefix of
itself. To preserve the current behavior, you can ask jax.tree.map to
treat None as a leaf value by writing:
jax.tree.map(lambda x, y: None if x is None else f(x, y), a, b, is_leaf=lambda x: x is None).
xmap has been deleted. Please use {func}shard_map as the replacement.
Changes
The minimum CuDNN version is v9.1. This was true in previous releases also,
but we now declare this version constraint formally.
The minimum Python version is now 3.10. 3.10 will remain the minimum
supported version until July 2025.
The minimum NumPy version is now 1.24. NumPy 1.24 will remain the minimum
supported version until December 2024.
The minimum SciPy version is now 1.10. SciPy 1.10 will remain the minimum
supported version until January 2025.
{func}jax.numpy.ceil, {func}jax.numpy.floor and {func}jax.numpy.trunc now return the output
of the same dtype as the input, i.e. no longer upcast integer or boolean inputs to floating point.
libdevice.10.bc is no longer bundled with CUDA wheels. It must be
installed either as a part of local CUDA installation, or via NVIDIA's CUDA
pip wheels.
{class}jax.experimental.pallas.BlockSpec now expects block_shape to
be passed beforeindex_map. The old argument order is deprecated and
will be removed in a future release.
Updated the repr of gpu devices to be more consistent
with TPUs/CPUs. For example, cuda(id=0) will now be CudaDevice(id=0).
Added the device property and to_device method to {class}jax.Array, as
part of JAX's Array API support.
Deprecations
Removed a number of previously-deprecated internal APIs related to
polymorphic shapes. From {mod}jax.core: removed canonicalize_shape,
dimension_as_value, definitely_equal, and symbolic_equal_dim.
HLO lowering rules should no longer wrap singleton ir.Values in tuples.
Instead, return singleton ir.Values unwrapped. Support for wrapped values
will be removed in a future version of JAX.
{func}jax.experimental.jax2tf.convert with native_serialization=False
or enable_xla=False is now deprecated and this support will be removed in
a future version.
Native serialization has been the default since JAX 0.4.16 (September 2023).
The previously-deprecated function jax.random.shuffle has been removed;
instead use jax.random.permutation with independent=True.
jaxlib 0.4.31 (July 29, 2024)
Bug fixes
Fixed a bug that meant that negative static_argnums to a jit were mishandled
by the jit dispatch fast path.
Fixed a bug that meant triangular solves of batches of singular matrices
produce nonsensical finite values, instead of inf or nan (#3589, #15429).
NumPy 2.1.0 provides support for the upcoming Python 3.13 release and
drops support for Python 3.9. In addition to the usual bug fixes and
updated Python support, it helps get us back into our usual release
cycle after the extended development of 2.0. The highlights for this
release are:
Support for the array-api 2023.12 standard.
Support for Python 3.13.
Preliminary support for free threaded Python 3.13.
Python versions 3.10-3.13 are supported in this release.
New functions
New function numpy.unstack
A new function np.unstack(array, axis=...) was added, which splits an
array into a tuple of arrays along an axis. It serves as the inverse of
[numpy.stack]{.title-ref}.
The fix_imports keyword argument in numpy.save is deprecated.
Since NumPy 1.17, numpy.save uses a pickle protocol that no longer
supports Python 2, and ignored fix_imports keyword. This keyword
is kept only for backward compatibility. It is now deprecated.
Passing non-integer inputs as the first argument of
[bincount]{.title-ref} is now deprecated, because such inputs are
silently cast to integers with no warning about loss of precision.
Updates the requirements on botocore, awscli, boto3, amazon-braket-default-simulator, amazon-braket-pennylane-plugin, amazon-braket-sdk, amazon-braket-algorithm-library, cvxpy, ipykernel, jax, jaxlib, matplotlib, numpy, optax, pennylane, pennylane-lightning, qiskit-aer, qiskit-braket-provider, scipy, scs and sympy to permit the latest version. Updates
botocorefrom 1.34.113 to 1.35.0Changelog
Sourced from botocore's changelog.
... (truncated)
Commits
ec0fda7Merge branch 'release-1.35.0'756df07Bumping version to 1.35.0d780ee8Update endpoints modeld8cce8eUpdate to latest models4351aceMulti-auth trait support (#3233)7fdb763Merge branch 'release-1.34.162'feb9c3dMerge branch 'release-1.34.162' into develop7c09319Bumping version to 1.34.162152e506Update endpoints model55032d0Update to latest modelsUpdates
awsclifrom 1.32.113 to 1.34.0Commits
2452784Merge branch 'release-1.34.0'fe1a740Bumping version to 1.34.0278c43cUpdate changelog based on model updates5d5d0c3Merge pull request #8870 from hssyoo/codeartifact-v18667ec4Update codeartifact login error message06a4587Merge branch 'release-1.33.44'9c73169Merge branch 'release-1.33.44' into develop6fba3eaBumping version to 1.33.447867e3bUpdate changelog based on model updates236a7efMerge customizations for S3Updates
boto3from 1.34.113 to 1.35.0Commits
f38acbbMerge branch 'release-1.35.0'd0a872dBumping version to 1.35.0eaae319Add changelog entries from botocore59518e4Merge branch 'release-1.34.162'a791aa7Merge branch 'release-1.34.162' into developadd8a63Bumping version to 1.34.1622ec9480Add changelog entries from botocore2f927ceMerge branch 'release-1.34.161'8268877Merge branch 'release-1.34.161' into developc36a3f2Bumping version to 1.34.161Updates
amazon-braket-default-simulatorfrom 1.23.2 to 1.26.0Release notes
Sourced from amazon-braket-default-simulator's releases.
Changelog
Sourced from amazon-braket-default-simulator's changelog.
Commits
7b52b78prepare release v1.26.0e93e551feat: Introducerun_multiplemethod (#264)dc68323change: Ignorequbit_countparameter for JAQCD (#269)3378eaaupdate development version to v1.25.1.dev0bc5df7bprepare release v1.25.0d663479fix: Include measured in noncontiguous qubit map (#267)c9730d2feat: Track classical register indices for measurements (#266)7e717a2update development version to v1.24.2.dev03f17237prepare release v1.24.11454fb9fix: Use csr_matrix.getH() instead of H (#268)Updates
amazon-braket-pennylane-pluginfrom 1.27.3 to 1.28.0Release notes
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Changelog
Sourced from amazon-braket-pennylane-plugin's changelog.
Commits
9c9e27eprepare release v1.28.0388dd74test: Delete OQC integ test (#272)1377abdfeat: Supportbatch_executeforBraketLocalQubitDevice(#269)dfff7a6update development version to v1.27.7.dev0eabf16dprepare release v1.27.60d5c883infra: add pr_title_check workflow (#265)d7c232fSupportqml.countsfor circuits (#267)7b9f700update development version to v1.27.6.dev02e8e130prepare release v1.27.5ad9237cchange: ReplaceFreeParameter("b")withFreeParameter("d")in unittests (...Updates
amazon-braket-sdkfrom 1.80.0 to 1.84.0Release notes
Sourced from amazon-braket-sdk's releases.
Changelog
Sourced from amazon-braket-sdk's changelog.
Commits
12ec01bprepare release v1.84.066fec48feat: support erf_square and swap_phases (#1019)bbdbfa6test: Add Garnet to tracker integ test (#1016)f42f322infra: bump actions/checkout from 4.1.5 to 4.1.7 (#1015)e72299bupdate development version to v1.83.1.dev01e4a76fprepare release v1.83.0686aaf8deprecation: Remove OQC (#1014)dabcb5efeat: Userun_multiplefor local batches (#1005)9f6adcfdoc: update PR title instructions (#994)fb307e3infra: bump thehanimo/pr-title-checker from 1.4.1 to 1.4.2 (#1010)Updates
amazon-braket-algorithm-libraryfrom 1.4.11 to 1.4.13Release notes
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Changelog
Sourced from amazon-braket-algorithm-library's changelog.
Commits
5532cd6prepare release v1.4.130764915fix: Pin sympy<1.13 (#149)84fe52bupdate development version to v1.4.13.dev025fcd2cprepare release v1.4.12fc321d8Remove oqc (#148)75af0cfupdate development version to v1.4.12.dev0Updates
cvxpyfrom 1.5.1 to 1.5.3Release notes
Sourced from cvxpy's releases.
Commits
70aef4dReleases 1.5.338fea97Patch 1.5.3 (#2523)66dca8ePreps for 1.5.37d24ec6Releases 1.5.2f14e0bdPatch 1.5.2 (#2480)93084f0Preps for 1.5.2Updates
ipykernelfrom 6.29.4 to 6.29.5Release notes
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Changelog
Sourced from ipykernel's changelog.
Commits
b1283b1Publish 6.29.51e62d48[6.x] Update Release Scripts (#1251)22d4e58Fix use of "%matplotlib osx" (#1237)Updates
jaxfrom 0.4.28 to 0.4.31Release notes
Sourced from jax's releases.
... (truncated)
Changelog
Sourced from jax's changelog.
... (truncated)
Commits
7fd9302Start JAX and jaxlib 0.4.31 releasef070c06Merge pull request #22703 from Rifur13:plugin-fix9beb4f1Merge pull request #19760 from Blair-Johnson:fix-pytree-grads-sparse802a14cRe-pack gradients of jax.experimental.sparse.grad() to match original pytrees...85e83b5Merge pull request #22690 from jakevdp:inplace-docd1c0d99Bump the minimum CUDNN version to v9.1.6127baaIgnore the Deprecation warning produced aboutnative_serialization=False.fd23b87Bump minimum SciPy version to 1.10.cfa1e78Improve documentation for jnp.put, jnp.place, jnp.fill_diagonal0224235Skip cuda backend initialization if no nvidia GPUs are visible.Updates
jaxlibfrom 0.4.28 to 0.4.31Release notes
Sourced from jaxlib's releases.
Changelog
Sourced from jaxlib's changelog.
... (truncated)
Commits
7fd9302Start JAX and jaxlib 0.4.31 releasef070c06Merge pull request #22703 from Rifur13:plugin-fix9beb4f1Merge pull request #19760 from Blair-Johnson:fix-pytree-grads-sparse802a14cRe-pack gradients of jax.experimental.sparse.grad() to match original pytrees...85e83b5Merge pull request #22690 from jakevdp:inplace-docd1c0d99Bump the minimum CUDNN version to v9.1.6127baaIgnore the Deprecation warning produced aboutnative_serialization=False.fd23b87Bump minimum SciPy version to 1.10.cfa1e78Improve documentation for jnp.put, jnp.place, jnp.fill_diagonal0224235Skip cuda backend initialization if no nvidia GPUs are visible.Updates
matplotlibfrom 3.9.0 to 3.9.2Release notes
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Commits
a254b68REL: 3.9.2056f307DOC: Create release notes for 3.9.28d867ceMerge branch 'v3.9.1-doc' into v3.9.x7be8675Merge pull request #28687 from QuLogic/static-msvc3ed3d7bMerge pull request #28695 from meeseeksmachine/auto-backport-of-pr-27797-on-v...8a62afaBLD: Include MSVCP140 runtime statically81be26fMerge pull request #28688 from QuLogic/auto-backport-of-pr-28668-on-v3.9.xd88a582Backport PR #27797: DOC: Use video files for saving animationse3159baMerge pull request #28692 from meeseeksmachine/auto-backport-of-pr-28632-on-v...465401eBackport PR #28632: DOC: Tell sphinx-gallery to link mpl_toolkits from our buildUpdates
numpyfrom 1.26.4 to 2.1.0Release notes
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... (truncated)
Commits
2f7fe64Merge pull request #27236 from charris/prepare-2.1.0b6f434fREL: Prepare for the NumPy 2.1.0 release [wheel build]3cf9394Merge pull request #27234 from charris/backport-259847443dccMerge pull request #27233 from charris/backport-2722385b1cabBUG: Allow fitting of degree zero polynomials with Polynomial.fit395a81dDOC: reword discussion about shared arrays to hopefully be clearer5af2e96Move NUMUSERTYPES thread safety discussion to legacy DType API docsd902c24DOC: add docs on thread safety in NumPyc080180Merge pull request #27229 from charris/backport-2722644ce7e8BUG: FixPyArray_ZeroContiguousBuffer(resize) with struct dtypesUpdates
optaxfrom 0.2.2 to 0.2.3Release notes
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