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Commits on Apr 23, 2019

• Avoid module load time Tensor instantiation (i.e. Exp calls PowerTransform which does a convert_to_tensor).

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Commits on Apr 18, 2019

• Snapshot the locals before creating more locals. Avoids failures like TypeError: __init__() got an unexpected keyword argument 'parameters' in distribution_properties_test

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Commits on Apr 12, 2019

• Tensorboard has a new nightly

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Commits on Apr 11, 2019

• Append a datestamp to nightly package versions.

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• Import compat.v2 directly.

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Commits on Apr 8, 2019

• Adds tfp.math.cholesky_concat, which can be used to implicitly extend a n x n Xn = LnLn^T with Yzm new rows and columns (z = n + m), yielding a new Lz such that Xz = LzLz^T and Yzm forms the righ…

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• prefer_static.shape(t) was sometimes returning a np.float64 array, sometimes failing with a 'expected str or buffer' in name_scope.

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Commits on Apr 3, 2019

• Run fewer hypothesis examples in CI testing.

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Commits on Apr 2, 2019

• Fix a misspelling in parameter adaptation warning message.

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Commits on Mar 26, 2019

• Adds hypothesis driven tests that assert commutativity of slicing, sampling, and log_prob calculations.

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• Adds a test for slicing subclass-of-Independent behavior.

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Commits on Mar 25, 2019

• Fixes another error in broadcasting wishart computations, i.e. with scale_tril shape=(1, 3, 3), df shape=(10,):

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• When self.dtype and self.samples are float32, Empirical.prob should return a float32. The previous behavior was returning a float64.

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• Independent will only implement slicing for instances thereof, not subclasses thereof. This is because slicing is parameterization-dependent. Subclasses should implement _params_event_ndims().

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Commits on Mar 24, 2019

• Cast x to logits.dtype in onehot_categorical.

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Commits on Mar 23, 2019

• Ordered bijector does not change event shape, so should not override event shape methods.

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Commits on Mar 21, 2019

• IteratedSigmoidCentered was forgetting to pre-concat the unmodified axes of the event shape.

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Commits on Mar 20, 2019

• GammaGamma was undersampling randomness due to forgetting to broadcast the concentration parameter when drawing the rate samples from tf.random.gamma.

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• Relax a little with the symmetry assertion.

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• Bug fixes to tfd.Wishart.

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• Add a tag we can use to disable a test on jenkins.

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Commits on Mar 19, 2019

• Adds a hypothesis based properties test for TF distributions.

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• Adds slicing support to tfd.MVNDiag.

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Commits on Mar 18, 2019

• TransformedDistribution composition cannot be done with subclasses of TransformedDistribution that use different constructors.

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• Fix broadcasting of event and samples in Empirical.

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Commits on Mar 14, 2019

• Makes Determinstic.sample broadcast by tolerance parameters.

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• Chi distribution name was showing up as 'invert_squareChi' because name= arg was passed to the wrong distribution (i.e. passed to Chi2 rather than to TransformedDistribution ctor).

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Commits on Mar 13, 2019

• Deterministic and VectorDeterministic modified to support slicing and properly broadcast shapes over atol/rtol parameters.

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• Modifies [Exp]RelaxedOneHotCategorical to properly broadcast logits over temperature.

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Commits on Mar 9, 2019

• Adds a test scenario which failed prior to a TF fix in tensorflow/tensorflow#282a1668c01025846379d27321d189cd3d9b3db0

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Commits on Mar 8, 2019

• Hypothesis testing revealed that MVNFullCov supports slicing via subclassing of MVNTriL, but does not properly specify _params_event_ndims.

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• Adds slicing support to tfd.Independent.

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• Adds some scalar-batch slice tests.

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• Fix wishart assertion for non-flat df.

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• Fix a slicing scenario identified as broken by hypothesis testing.

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