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Fix UT: //tensorflow/python:saver_test #26

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10 changes: 5 additions & 5 deletions tensorflow/python/training/optimizer.py
Original file line number Diff line number Diff line change
Expand Up @@ -656,7 +656,7 @@ def apply_fn():
with ops.name_scope("update_" + scope_name), ops.colocate_with(var):
update_ops.append(processor.update_op(self, grad))
if global_step is None:
apply_updates = self._finish(update_ops, sname+'-apply')
apply_updates = self._finish(update_ops, sname)
else:
with ops.control_dependencies([self._finish(update_ops, "update")]):
with ops.colocate_with(global_step):
Expand All @@ -666,9 +666,9 @@ def apply_fn():
apply_updates = resource_variable_ops.assign_add_variable_op(
global_step.handle,
ops.convert_to_tensor(1, dtype=global_step.dtype),
name=sname+'-apply')
name=sname)
else:
apply_updates = state_ops.assign_add(global_step, 1, name=sname+'-apply')
apply_updates = state_ops.assign_add(global_step, 1, name=sname)

if not context.executing_eagerly():
if isinstance(apply_updates, ops.Tensor):
Expand Down Expand Up @@ -772,12 +772,12 @@ def finish(self, update_ops):
finish_updates = distribution.extended.update_non_slot(
non_slot_devices, finish, args=(self, update_ops), group=False)
if global_step is None:
apply_updates = distribution.group(finish_updates, name=sname+'-apply')
apply_updates = distribution.group(finish_updates, name=sname)
else:
with ops.control_dependencies(finish_updates):
apply_updates = distribution.extended.update(
global_step, state_ops.assign_add, args=(1,),
kwargs={"name": sname+'-apply'})
kwargs={"name": sname})

if not context.executing_eagerly():
if isinstance(apply_updates, ops.Tensor):
Expand Down