Options for saving to SavedModel.
tf.saved_model.SaveOptions(
namespace_whitelist=None, save_debug_info=False, function_aliases=None,
experimental_io_device=None, experimental_variable_policy=None
)
Used in the notebooks
This function may be used in the options argument in functions that
save a SavedModel (tf.saved_model.save, tf.keras.models.save_model).
Args |
|---|
namespace_whitelist
|
List of strings containing op namespaces to whitelist
when saving a model. Saving an object that uses namespaced ops must
explicitly add all namespaces to the whitelist. The namespaced ops must
be registered into the framework when loading the SavedModel.
|
save_debug_info
|
Boolean indicating whether debug information is saved. If
True, then a debug/saved_model_debug_info.pb file will be written with
the contents of a GraphDebugInfo binary protocol buffer containing stack
trace information for all ops and functions that are saved.
|
function_aliases
|
Python dict. Mapping from string to object returned by
@tf.function. A single tf.function can generate many ConcreteFunctions.
If a downstream tool wants to refer to all concrete functions generated
by a single tf.function you can use the function_aliases argument to
store a map from the alias name to all concrete function names.
E.g.
class MyModel:
@tf.function
def func():
...
@tf.function
def serve():
...
func()
model = MyModel()
signatures = {
'serving_default': model.serve.get_concrete_function(),
}
options = tf.saved_model.SaveOptions(function_aliases={
'my_func': func,
})
tf.saved_model.save(model, export_dir, signatures, options)
|
experimental_io_device
|
string. Applies in a distributed setting.
Tensorflow device to use to access the filesystem. If None (default)
then for each variable the filesystem is accessed from the CPU:0 device
of the host where that variable is assigned. If specified, the
filesystem is instead accessed from that device for all variables.
This is for example useful if you want to save to a local directory,
such as "/tmp" when running in a distributed setting. In that case pass
a device for the host where the "/tmp" directory is accessible.
|
experimental_variable_policy
|
The policy to apply to variables when
saving. This is either a saved_model.experimental.VariablePolicy enum
instance or one of its value strings (case is not important). See that
enum documentation for details. A value of None corresponds to the
default policy.
|
Class Variables |
|---|
|
experimental_io_device
|
|
|
experimental_variable_policy
|
|
|
function_aliases
|
|
|
namespace_whitelist
|
|
|
save_debug_info
|
|
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