class_docstr: The `default_event_space_bijector` for `tfd.BatchReshape`.
class_docstr_tok: ["The","`","default_event_space_bijector","`","for","`","tfd.BatchReshape","`","."]
code: def _forward_event_shape(self, input_shape):
      return self._base_bijector.forward_event_shape(input_shape)
  
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector
  from tensorflow_probability.python.distributions import distribution
  from tensorflow_probability.python.internal import assert_util
  from tensorflow_probability.python.internal import auto_composite_tensor
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import parameter_properties
  from tensorflow_probability.python.internal import prefer_static
  from tensorflow_probability.python.internal import tensor_util
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow.python.util import nest
label_desc: Use image node_id 10 for calling the _NonCompositeTensorBatchReshapeBijector obj's underlying member method code with example usage: obj._forward_event_shape(input_shape) and returns: self