api-change:cognito-idp: Fixed a description of AdvancedSecurityAdditionalFlows in Amazon Cognito user pool configuration.
api-change:connect: This release supports adding RoutingCriteria via UpdateContactRoutingData public API.
api-change:ssm: Systems Manager doc-only updates for August 2024.
1.34.157
api-change:cognito-idp: Added support for threat protection for custom authentication in Amazon Cognito user pools.
api-change:connect: This release fixes a regression in number of access control tags that are allowed to be added to a security profile in Amazon Connect. You can now add up to four access control tags on a single security profile.
api-change:ec2: Launch of private IPv6 addressing for VPCs and Subnets. VPC IPAM supports the planning and monitoring of private IPv6 usage.
api-change:glue: This release adds support to retrieve the validation status when creating or updating Glue Data Catalog Views. Also added is support for BasicCatalogTarget partition keys.
1.34.156
api-change:appintegrations: Updated CreateDataIntegration and CreateDataIntegrationAssociation API to support bulk data export from Amazon Connect Customer Profiles to the customer S3 bucket.
api-change:glue: Introducing AWS Glue Data Quality anomaly detection, a new functionality that uses ML-based solutions to detect data anomalies users have not explicitly defined rules for.
1.34.155
api-change:bedrock-agent-runtime: Introduce model invocation output traces for orchestration traces, which contain the model's raw response and usage.
api-change:cognito-idp: Advanced security feature updates to include password history and log export for Cognito user pools.
api-change:cost-optimization-hub: This release adds savings percentage support to the ListRecommendationSummaries API.
api-change:workspaces: Added support for BYOL_GRAPHICS_G4DN_WSP IngestionProcess
enhancement:AWSCRT: Update awscrt version to 0.21.2
1.34.154
api-change:datazone: This releases Data Product feature. Data Products allow grouping data assets into cohesive, self-contained units for ease of publishing for data producers, and ease of finding and accessing for data consumers.
api-change:ecr: Released two new APIs along with documentation updates. The GetAccountSetting API is used to view the current basic scan type version setting for your registry, while the PutAccountSetting API is used to update the basic scan type version for your registry.
api-change:kinesis-video-webrtc-storage: Add JoinStorageSessionAsViewer API
api-change:pi: Added a description for the Dimension db.sql.tokenized_id on the DimensionGroup data type page.
1.34.153
api-change:cloudwatch: Add v2 smoke tests and smithy smokeTests trait for SDK testing.
api-change:kinesis: Add v2 smoke tests and smithy smokeTests trait for SDK testing.
api-change:resiliencehub: Customers are presented with the grouping recommendations and can determine if the recommendations are accurate and apply to their case. This feature simplifies onboarding by organizing resources into appropriate AppComponents.
api-change:route53: Add v2 smoke tests and smithy smokeTests trait for SDK testing.
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 2.0.1 is a maintenance release that fixes bugs and regressions
discovered after the 2.0.0 release. NumPy 2.0.1 is the last planned
release in the 2.0.x series, 2.1.0rc1 should be out shortly.
The Python versions supported by this release are 3.9-3.12.
NOTE: Do not use the GitHub generated "Source code" files listed in the "Assets", they are garbage.
Improvements
np.quantile with method closest_observation chooses nearest even order statistic
This changes the definition of nearest for border cases from the nearest
odd order statistic to nearest even order statistic. The numpy
implementation now matches other reference implementations.
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 1.34.158Changelog
Sourced from botocore's changelog.
... (truncated)
Commits
1bba722Merge branch 'release-1.34.158'60ee24aBumping version to 1.34.1581a3e2eeUpdate endpoints model338353fUpdate to latest models894686fMerge branch 'release-1.34.157'c13dc94Merge branch 'release-1.34.157' into develop6853abfBumping version to 1.34.15718a9479Update to latest models0a2e478Merge branch 'release-1.34.156'7f23afdMerge branch 'release-1.34.156' into developUpdates
awsclifrom 1.32.113 to 1.33.40Commits
8e2e8bdMerge branch 'release-1.33.40'3bce8c3Bumping version to 1.33.40a4199d7Update changelog based on model updates98c3642Merge branch 'release-1.33.39'78081caMerge branch 'release-1.33.39' into develope111704Bumping version to 1.33.394421872Update changelog based on model updates6f73e29Merge branch 'release-1.33.38'ed86b4fMerge branch 'release-1.33.38' into develop24d8673Bumping version to 1.33.38Updates
boto3from 1.34.113 to 1.34.158Commits
b7e50f1Merge branch 'release-1.34.158'70829fbBumping version to 1.34.1586f0abd4Add changelog entries from botocore7f4edeaMerge branch 'release-1.34.157'4350319Merge branch 'release-1.34.157' into develop541c1d3Bumping version to 1.34.157c2dd12dAdd changelog entries from botocore6e52ab6Merge branch 'release-1.34.156'e0923a1Merge branch 'release-1.34.156' into developd355703Bumping version to 1.34.156Updates
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
Sourced from amazon-braket-pennylane-plugin's releases.
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
Sourced from amazon-braket-algorithm-library's releases.
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 1.5.2Release notes
Sourced from cvxpy's releases.
Commits
7d24ec6Releases 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
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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 3.9.1.post1Release notes
Sourced from matplotlib's releases.
Commits
9c9792aDOC: Add Zenodo DOI for 3.9.160bfa22BLD: bump branch away from tag44be14cREL: 3.9.15325425DOC: Create release notes for 3.9.1568a039Merge pull request #28507 from meeseeksmachine/auto-backport-of-pr-28430-on-v...7fa9f24Merge pull request #28506 from meeseeksmachine/auto-backport-of-pr-28451-on-v...06189c2Backport PR #28430: Fix pickling of AxesWidgets.c43313aBackport PR #28451: Fix GTK cairo backends560fdc4Merge pull request #28499 from meeseeksmachine/auto-backport-of-pr-28498-on-v...5552302Backport PR #28498: Don't fail if we can't query system fonts on macOSUpdates
numpyfrom 1.26.4 to 2.0.1Release notes
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... (truncated)
Commits
4c9f431Merge pull request #27000 from charris/prepare-2.0.10e70e00REL: Prepare for the NumPy 2.0.1 release [wheel build]4d10ffcMerge pull request #26995 from charris/backport-26985764b667BUG: Add object cast to avoid warning with limited API9be6ad6Merge pull request #26971 from charris/backport-269356d950e9BUG: fix f2py tests to work with v2 API89630c0Merge pull request #26962 from charris/backport-2691988fa840TST: Apply test suggestion by Nathan for rlstrip fixesa9da01eBUG,MAINT: Fix utf-8 character stripping memory access6afbbf8Merge pull request #26963 from charris/backport-26930Updates
optaxfrom 0.2.2 to 0.2.3Release notes
Sourced from optax's releases.