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Commits on Feb 12, 2026

• disable strict_deps build flags on export

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  csuter

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Commits on Feb 9, 2026

• Automated Code Change

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  h-joo

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Commits on Jan 28, 2026

• Disable 'strict_deps' BUILD flag on export (unsupported by old bazel)

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  csuter

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Commits on Jan 27, 2026

• Automated Code Change

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  h-joo

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Commits on Nov 14, 2024

• Automated Code Change

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  Googler

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Commits on Mar 8, 2024

• tensorflow_probability: avoid JAX key reuse in tests

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  vanderplas

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Commits on Mar 7, 2024

• TFP: fix key reuse issue in monte_carlo_variational_loss

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  vanderplas

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Commits on Feb 12, 2024

• Switch TFP to use typed JAX PRNG keys.

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  SiegeLordEx

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Commits on Nov 1, 2023

• In open source, import tf_keras instead of setting TF_USE_LEGACY_KERAS=1.

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  jburnim

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• In open source, import tf_keras instead of setting TF_USE_LEGACY_KERAS=1.

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  Googler

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Commits on Oct 31, 2023

• In open source, import tf_keras instead of setting TF_USE_LEGACY_KERAS=1.

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  jburnim

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Commits on Oct 27, 2023

• Update tf.optimizers -> tf.keras.optimizers.

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  jburnim

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Commits on Sep 14, 2023

• Clean up exception handling for _call_fn_maybe_with_seed.

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  ursk

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Commits on Sep 8, 2023

• In fit_surrogate_posterior, support targets that take random seeds.

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  jburnim

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Commits on Jul 27, 2023

• Internal Code Change

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  rickeylev

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Commits on Feb 14, 2023

• Internal change.

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  SiegeLordEx

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• add default applicable_licenses

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  Googler

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Commits on Jan 19, 2023

• Remove some deprecations:

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  ColCarroll

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Commits on Jan 17, 2023

• Remove some deprecations:

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  ColCarroll

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Commits on Sep 1, 2022

• Change stats/, mcmc/, monte_carlo/ optimizer/ and vi/ to use most specific imports.

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  srvasude

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Commits on Aug 30, 2022

• Convert tfp.math and tfp.sts to use more specific imports for faster build/testing.

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  srvasude

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Commits on Jul 29, 2022

• Replace usages of `tfd.MultivariateNormalFullCovariance` in TFP.

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  emilyfertig

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Commits on Jan 7, 2022

• Remove unnecessary srcs_version/python_version BUILD attributes.

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  jburnim

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• Add `fit_surrogate_posterior_stateless` with support for custom gradient estimators.

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  davmre

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• Add `gradient_estimator` argument to `monte_carlo_variational_loss`, and support doubly-reparameterized / sticking-the-landing gradients.

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  davmre

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Commits on Jan 6, 2022

• Expose VI losses and monte carlo expectations in the JAX backend.

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  davmre

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Commits on Nov 5, 2021

• Nitpick documentation of reproducibility and add a few reproducibility tests.

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  axch

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Commits on Oct 20, 2021

• Re-code tests to support `--test_arg=--vary_seed` properly.

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  axch

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Commits on Oct 13, 2021

• Remove from __future__ imports.

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  SiegeLordEx

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Commits on Sep 22, 2021

• Unbreak internal code by avoiding extra sample dimension in internal loss computations.

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  davmre

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Commits on Sep 21, 2021

• Roll forward IWAE support with fix for previous build failure.

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  davmre

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• Rollback due to internal continuous build failure.

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  davmre

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• Support for importance-weighted variational objectives (ie, IWAE).

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  davmre

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Commits on Aug 23, 2021

• Replace tf.test.main with test_util.main everywhere in tfp.python and tfp.substrates.

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  SiegeLordEx

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Commits on Jun 29, 2021

• Support stochastic loss functions with stateless seeds in `tfp.math.minimize`.

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  davmre

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