Module: tfp.experimental.util
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TensorFlow Probability experimental python utilities.
Classes
class DeferredModule: Wrapper to defer initialization of a tf.Module instance.
class JitPublicMethods: Wrapper to compile an object's public methods using XLA.
Functions
as_composite(...)
make_trainable(...): Constructs a distribution or bijector instance with trainable parameters.
make_trainable_stateless(...): Constructs a distribution or bijector instance with trainable parameters.
register_composite(...)
Other Members |
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DEFAULT_METHODS_EXCLUDED_FROM_JIT
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('event_shape',
'event_shape_tensor',
'batch_shape',
'batch_shape_tensor',
'dtype',
'kl_divergence',
'experimental_default_event_space_bijector',
'experimental_local_measure',
'forward_event_shape',
'forward_event_shape_tensor',
'inverse_event_shape',
'inverse_event_shape_tensor',
'forward_dtype',
'inverse_dtype',
'forward_event_ndims',
'inverse_event_ndims',
'experimental_compute_density_correction')
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Last updated 2023-11-21 UTC.
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View source on GitHub