def scaffold_fn():
return tf.train.Scaffold(
local_init_op=tf.group(
tf.train.Scaffold.default_local_init_op(),
lowering.copy_masters_to_slices(),
name="mtf_local_init_op"),
ready_op=tf.concat(
[tf.report_uninitialized_variables(),
resources.report_uninitialized_resources()],
axis=0,
name="mtf_ready_op"))
def default_ready_op():
return array_ops.concat([
variables.report_uninitialized_variables(),
resources.report_uninitialized_resources()
], 0)
def default_ready_op():
return array_ops.concat([
variables.report_uninitialized_variables(),
resources.report_uninitialized_resources()
], 0)
def default_ready_for_local_init_op():
return tf.concat([
tf.report_uninitialized_variables(tf.global_variables()),
resources.report_uninitialized_resources(resources.shared_resources())
], 0)
