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added tf_cpu_mode option for funit models

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This commit is contained in:
Colombo 2019-09-21 09:44:34 +04:00
parent d9d10f91c2
commit 2a3b3f0021
3 changed files with 20 additions and 5 deletions
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9
models/Model_DEV_FUNIT/Model.py
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@ -33,6 +33,12 @@ class FUNITModel(ModelBase):
else:
self.options['face_type'] = self.options.get('face_type', default_face_type)
if (is_first_run or ask_override) and 'tensorflow' in self.device_config.backend:
def_optimizer_mode = self.options.get('optimizer_mode', 1)
self.options['optimizer_mode'] = io.input_int ("Optimizer mode? ( 1,2,3 ?:help skip:%d) : " % (def_optimizer_mode), def_optimizer_mode, help_message="1 - no changes. 2 - allows you to train x2 bigger network consuming RAM. 3 - allows you to train x3 bigger network consuming huge amount of RAM and slower, depends on CPU power.")
else:
self.options['optimizer_mode'] = self.options.get('optimizer_mode', 1)
#override
def onInitialize(self, batch_size=-1, **in_options):
exec(nnlib.code_import_all, locals(), globals())
@ -58,7 +64,8 @@ class FUNITModel(ModelBase):
num_classes=person_id_max_count,
subpixel_decoder=True,
initialize_weights=self.is_first_run(),
is_training=self.is_training_mode
is_training=self.is_training_mode,
tf_cpu_mode=self.options['optimizer_mode']-1
)
if not self.is_first_run():