a .Sic @sdZddlmZmZmZddlmZddlmZddlm Z ddl m Z ddl m Z dd Ze d gd e jdeeee j d d fd ddZd 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}|tjkr$tj|d<d}||i|}|rDt|tj}|S)zDCustom getter that forces variables to have type self.variable_type.FdtypeT)rbfloat16float32rcast)getterargskwargsZcast_to_bfloat16Zrequested_dtypevarrZ/var/www/html/django/DPS/env/lib/python3.9/site-packages/tensorflow/python/tpu/bfloat16.pyinner_custom_getter/s  z/_get_custom_getter..inner_custom_getterr)rrrr_get_custom_gettersrztpu.bfloat16_scope)v1N)namereturnccsF|dur d}tj|td}|VWdn1s80YdS)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) custom_getter)rr)rvarscoperrrbfloat16_scopeEsr)N)__doc__typingrrrtensorflow.python.frameworkrtensorflow.python.opsrrtensorflow.python.utilr tensorflow.python.util.tf_exportr rcontextmanagerrrrrrs     *