def parse_block(settings):
class_name = settings["class"]
if '.' not in class_name:
class_name = 'deeprl.model.blocks.%s' % (class_name,)
block_class = import_class(class_name)
return block_class.parse(settings)
def parse_block(settings):
class_name = settings["class"]
if '.' not in class_name:
class_name = 'deeprl.model.blocks.%s' % (class_name, )
block_class = import_class(class_name)
return block_class.parse(settings)
def parse_optimizer(settings):
class_name = settings["class"]
if '.' not in class_name:
class_name = 'tensorflow.train.%s' % (class_name,)
optimizer_class = import_class(class_name)
return optimizer_class(**settings["kwargs"])
def parse_optimizer(settings):
class_name = settings["class"]
if '.' not in class_name:
class_name = 'tensorflow.train.%s' % (class_name, )
optimizer_class = import_class(class_name)
return optimizer_class(**settings["kwargs"])