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Tensorflow Probability 0.10.0
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@emilyfertig emilyfertig released this 14 May 23:20
· 6 commits to r0.10 since this release
v0.10.0
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Release notes

This is the 0.10 release of TensorFlow Probability. It is tested and stable against TensorFlow version 2.2.0.

Change notes

  • Distributions

    • Beta-Binomial distribution.
    • Add new AutoBatched joint distribution variants that treat a joint sample as a single probabilistic event.
    • XLA-able Python TF Gamma sampler.
    • XLA-able binomial sampler. Replaces the existing sampler, which implements binomial using one-hot categoricals via multinomial, with a batched rejection sampler. The new sampler is 4-6 times slower for very small problems, but an unbounded amount faster on large problems, since it removes a linear dependency on total_count. Additionally, since the previous solver required memory proportional to total_count*num_samples, many problems which OOM'd before are now feasible.
    • Enable use of joint bijectors in TransformedDistribution.
    • Remove unused get_logits_and_probs from internal/distribution_util.
    • Batched rejection sampling utilities.
    • Update batched_rejection_sampler to use prefer_static.shape to handle possibly-dynamic shape.

  • Bijectors

    • Add Lambert W transform bijectors.

  • MCMC

    • EllipticalSliceSampler in tfp.experimental.mcmc
    • Add cross-chain ESS, following Vehtari et al. 2019.

  • Optimizer

    • Add convergence criteria for optimizations.

  • Stats

    • Add tfp.stats.expected_calibration_error_quantiles.

  • Math

    • Add a 'special' module to tfp.math - a TF version of scipy.special.
    • Add scan_associative function, implementing parallel prefix scan of tensors with a user-provided binary operation.

  • Breaking change: Removed a number of functions, methods, and classes that were deprecated in TensorFlow Probability 0.9.0 or earlier.

    • Removed deprecated tfb.Weibull -- use tfb.WeibullCDF.
    • Remove VectorLaplaceLinearOperator
    • Remove deprecated method tfp.sts.build_factored_variational_loss.
    • Remove deprecated tfb.Kumaraswamy -- use tfb.Invert(tfb.KumaraswamyCDF).
    • Remove deprecated tfd.VectorSinhArcsinhDiag, tfd.VectorLaplaceDiag.
    • Remove deprecated tfb.Gumbel -- use tfb.GumbelCDF.

  • Other

    • Python 3.8 compatibility.
    • TensorFlow now requires gast version 0.3.2 and is no longer compatible with 0.2.2.
    • Moving TF Session C++ to Python code and functionality from swig to pybind11.
    • Update TFP examples to Python 3.

Huge thanks to all the contributors to this release!

  • Alexander Ivanov
  • Alexey Radul
  • Amanda
  • Amelio Vazquez-Reina
  • Amit Patankar
  • Anudhyan Boral
  • Artem Belevich
  • Brian Patton
  • Christopher Suter
  • Colin Carroll
  • Dan Moldovan
  • Dave Moore
  • Demetri Pananos
  • Dmitrii Kochkov
  • Emily Fertig
  • gameshamilton
  • Georg M. Goerg
  • Ian Langmore
  • Jacob Burnim
  • jeffpollock9
  • Joshua V. Dillon
  • Junpeng Lao
  • kovak1
  • Kristian Hartikainen
  • Liam
  • Martin Jul
  • Matt Hoffman
  • nbro
  • Olli Huotari
  • Pavel Sountsov
  • Pyrsos
  • Rif A. Saurous
  • Rushabh Vasani
  • Sayam753
  • Sharad Vikram
  • Spyros
  • Srinivas Vasudevan
  • Taylor Robie
  • Xiaojing Wang
  • Zichun Ye
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