pyspark/bigdl/nn/layer.py
def training(self, is_training=True):
        '''
        Set this layer in the training mode or in predition mode if is_training=False
        '''
        if is_training:
            callJavaFunc(self.value.training)
        else:
            callJavaFunc(self.value.evaluate)
        return self
def training(self, is_training=True):
        '''
        Set this layer in the training mode or in predition mode if is_training=False
        '''
        if is_training:
            callJavaFunc(self.value.training)
        else:
            callJavaFunc(self.value.evaluate)
        return self
def training ( self , is_training = True ) : if is_training : callJavaFunc ( self . value . training ) else : callJavaFunc ( self . value . evaluate ) return self
Set this layer in the training mode or in predition mode if is_training=False
Set this layer in the training mode or in predition mode if is_training = False