o ?e @sdZddlmZmZmZddlmZddlmZddlm Z ddl m Z ddl m Z dd Ze d gd e j dd eedee j d d ffddZd S)z0Helper context for running models with bfloat16.) GeneratorOptionalText)dtypes)math_ops)variable_scope) tf_contextlib) tf_exportcCs dd}|S)aReturns a custom getter that this class's methods must be called under. All methods of this class must be called under a variable scope that was passed this custom getter. Example: ```python network = ConvNetBuilder(...) with tf.compat.v1.variable_scope('cg', custom_getter=network.get_custom_getter()): network.conv(...) # Call more methods of network here ``` Currently, this custom getter only does anything if self.use_tf_layers is True. In that case, it causes variables to be stored as dtype self.variable_type, then casted to the requested dtype, instead of directly storing the variable as the requested dtype. c_sHd}|d}|tjkrtj|d<d}||i|}|r"t|tj}|S)zDCustom getter that forces variables to have type self.variable_type.FZdtypeT)rZbfloat16Zfloat32rcast)getterargskwargsZcast_to_bfloat16Zrequested_dtypevarr_/home/www/facesmatcher.com/pyenv/lib/python3.10/site-packages/tensorflow/python/tpu/bfloat16.pyinner_custom_getter/s  z/_get_custom_getter..inner_custom_getterr)rrrr_get_custom_gettersrztpu.bfloat16_scope)v1NnamereturnccsJ|durd}tj|td }|VWddS1swYdS)zScope class for bfloat16 variables so that the model uses custom getter. This enables variables to be read as bfloat16 type when using get_variable. Arguments: name: Name to use for scope. Yields: a variable scope. N)Z custom_getter)rr)rZvarscoperrrbfloat16_scopeEs"r)N)__doc__typingrrrZtensorflow.python.frameworkrZtensorflow.python.opsrrZtensorflow.python.utilrZ tensorflow.python.util.tf_exportr rcontextmanagerrrrrrs       *