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Commits on Mar 8, 2019

• Fix distributions with broken slicing caused by not overriding parameters; as identified by hypothesis testing.

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• Fix Empirical *parameter* event ndims.

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• Fix a parameter misspelling identified by hypothesis testing.

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• Fix small typo in deprecation message.

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• Remove tfd.{auto_correlation,percentile}, as the tfp.stats replacement & deprecation notice has been live for several months now.

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Commits on Mar 6, 2019

• Adds batch slicing support to most of the easy tfp.distributions.

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• Eliminate some deprecated *With* distributions from tfp.distributions.

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Commits on Mar 5, 2019

• Remove tfd.{auto_correlation,percentile}, as the tfp.stats replacement & deprecation notice has been live for several months now.

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• Remove tfd.{auto_correlation,percentile}, as the tfp.stats replacement & deprecation notice has been live for several months now.

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• Adds slicing support for distribution objects.

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Commits on Mar 4, 2019

• Correct the event shapes of tfb.Transpose.

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Commits on Mar 1, 2019

• Small nit - use size(x) instead of shape(x)[0]

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Commits on Feb 28, 2019

• Migrate tensor_scatter_add to tensor_scatter_nd_add for TFv2.

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Commits on Feb 15, 2019

• transformed_kernel_test now passes TF2.

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• Remove tf2-broken for tests that have been made tf2-compatible.

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• Remove tf2-broken tag from some tests that are now passing under TF2.

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Commits on Feb 14, 2019

• TF2 migration.

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• Mark a couple of TF2 failing tests as tf2-broken.

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Commits on Feb 13, 2019

• Don't nest stop_gradient calls.

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• TF2 migration: tagging with 'tf2-broken' tests that are currently broken under bazel test --test_env=TF2_BEHAVIOR=1

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Commits on Jan 23, 2019

• Some fixes to RationalQuadratic surfaced in tensorflow#208, which hasn't progressed recently. Add to __init__.py, fix the math in _apply (missing div/2), fix unset members, add tf.test.main() to rq…

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Commits on Jan 22, 2019

• Another round of TF2.0 compatibility upgrades.

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Commits on Jan 19, 2019

• Gets a bunch of tests passing under --test_env=TF2_BEHAVIOR=1

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Commits on Jan 17, 2019

• Partially disables bijector caching when executing in eager mode. Refactors the caches to use weakref.WeakKeyDictionary keyed on x for inverse or y for forward, when in eager mode.

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Commits on Jan 16, 2019

• Internal change (python3 test coverage).

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• Import tools/bazel.rc in bazel.rc because bazel otherwise ignores it under tools/:

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• tensorflow-probability is now preinstalled in colab, so we no longer need the pip install statements

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• Internal change (python3 test coverage).

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Commits on Jan 15, 2019

• Save a lookup by using pop instead of contains+del.

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• Fix typo in weibull bijector documentation of weibull pdf.

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Commits on Jan 4, 2019

• Don't unroll loops within an XLA context.

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Commits on Dec 4, 2018

• Tolerate non-static event dim in make_diag_scale

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Commits on Nov 12, 2018

• Accept dtype from any object which provides it as an attr. This allows us to accept from LinearOperator, RandomVariable, etc.

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Commits on Oct 11, 2018

• Document user-friendly dtype inference habits in the style guide.

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• Infers a float32 default dtype in TFP's single-parameter distributions where appropriate. This way you can write (e.g.) Poisson(rate=1) without getting an error about the integer dtype inferred b…

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