* Bumping up the package version due to changes in the curvature bloc…

…k classes.

PiperOrigin-RevId: 532513111

kfac_jax/__init__.py

@@ -24,7 +24,7 @@
 from kfac_jax._src import utils
 
 
-__version__ = "0.0.4"
+__version__ = "0.0.5"
 
 # Patches Second Moments
 patches_moments = patches_second_moment.patches_moments
@@ -53,16 +53,25 @@
 NegativeLogProbLoss = loss_functions.NegativeLogProbLoss
 DistributionNegativeLogProbLoss = loss_functions.DistributionNegativeLogProbLoss
 NormalMeanNegativeLogProbLoss = loss_functions.NormalMeanNegativeLogProbLoss
-NormalMeanVarianceNegativeLogProbLoss = loss_functions.NormalMeanVarianceNegativeLogProbLoss
-MultiBernoulliNegativeLogProbLoss = loss_functions.MultiBernoulliNegativeLogProbLoss
-CategoricalLogitsNegativeLogProbLoss = loss_functions.CategoricalLogitsNegativeLogProbLoss
-OneHotCategoricalLogitsNegativeLogProbLoss = loss_functions.OneHotCategoricalLogitsNegativeLogProbLoss
-register_sigmoid_cross_entropy_loss = loss_functions.register_sigmoid_cross_entropy_loss
-register_multi_bernoulli_predictive_distribution = loss_functions.register_multi_bernoulli_predictive_distribution
-register_softmax_cross_entropy_loss = loss_functions.register_softmax_cross_entropy_loss
-register_categorical_predictive_distribution = loss_functions.register_categorical_predictive_distribution
+NormalMeanVarianceNegativeLogProbLoss = (
+    loss_functions.NormalMeanVarianceNegativeLogProbLoss)
+MultiBernoulliNegativeLogProbLoss = (
+    loss_functions.MultiBernoulliNegativeLogProbLoss)
+CategoricalLogitsNegativeLogProbLoss = (
+    loss_functions.CategoricalLogitsNegativeLogProbLoss)
+OneHotCategoricalLogitsNegativeLogProbLoss = (
+    loss_functions.OneHotCategoricalLogitsNegativeLogProbLoss)
+register_sigmoid_cross_entropy_loss = (
+    loss_functions.register_sigmoid_cross_entropy_loss)
+register_multi_bernoulli_predictive_distribution = (
+    loss_functions.register_multi_bernoulli_predictive_distribution)
+register_softmax_cross_entropy_loss = (
+    loss_functions.register_softmax_cross_entropy_loss)
+register_categorical_predictive_distribution = (
+    loss_functions.register_categorical_predictive_distribution)
 register_squared_error_loss = loss_functions.register_squared_error_loss
-register_normal_predictive_distribution = loss_functions.register_normal_predictive_distribution
+register_normal_predictive_distribution = (
+    loss_functions.register_normal_predictive_distribution)
 
 # Curvature blocks
 CurvatureBlock = curvature_blocks.CurvatureBlock
@@ -83,16 +92,20 @@
 ScaleAndShiftFull = curvature_blocks.ScaleAndShiftFull
 set_max_parallel_elements = curvature_blocks.set_max_parallel_elements
 get_max_parallel_elements = curvature_blocks.get_max_parallel_elements
-set_default_eigen_decomposition_threshold = curvature_blocks.set_default_eigen_decomposition_threshold
-get_default_eigen_decomposition_threshold = curvature_blocks.get_default_eigen_decomposition_threshold
+set_default_eigen_decomposition_threshold = (
+    curvature_blocks.set_default_eigen_decomposition_threshold)
+get_default_eigen_decomposition_threshold = (
+    curvature_blocks.get_default_eigen_decomposition_threshold)
 
 # Curvature estimators
 CurvatureEstimator = curvature_estimator.CurvatureEstimator
 BlockDiagonalCurvature = curvature_estimator.BlockDiagonalCurvature
 ExplicitExactCurvature = curvature_estimator.ExplicitExactCurvature
 ImplicitExactCurvature = curvature_estimator.ImplicitExactCurvature
-set_default_tag_to_block_ctor = curvature_estimator.set_default_tag_to_block_ctor
-get_default_tag_to_block_ctor = curvature_estimator.get_default_tag_to_block_ctor
+set_default_tag_to_block_ctor = (
+    curvature_estimator.set_default_tag_to_block_ctor)
+get_default_tag_to_block_ctor = (
+    curvature_estimator.get_default_tag_to_block_ctor)
 
 # Optimizers
 Optimizer = optimizer.Optimizer