adjusting to tf2

This commit is contained in:
vahidrezanezhad 2024-04-04 11:26:28 +02:00
parent dbb404030e
commit 522f00ab99
4 changed files with 15 additions and 23 deletions

View file

@ -1,29 +1,21 @@
import os
import sys
import tensorflow as tf
from keras.backend.tensorflow_backend import set_session
import keras , warnings
from keras.optimizers import *
from tensorflow.compat.v1.keras.backend import set_session
import warnings
from tensorflow.keras.optimizers import *
from sacred import Experiment
from models import *
from utils import *
from metrics import *
from keras.models import load_model
from tensorflow.keras.models import load_model
from tqdm import tqdm
def configuration():
keras.backend.clear_session()
tf.reset_default_graph()
warnings.filterwarnings('ignore')
os.environ['CUDA_DEVICE_ORDER']='PCI_BUS_ID'
config = tf.ConfigProto(log_device_placement=False, allow_soft_placement=True)
config = tf.compat.v1.ConfigProto()
config.gpu_options.allow_growth = True
config.gpu_options.per_process_gpu_memory_fraction=0.95#0.95
config.gpu_options.visible_device_list="0"
set_session(tf.Session(config=config))
session = tf.compat.v1.Session(config=config)
set_session(session)
def get_dirs_or_files(input_data):
if os.path.isdir(input_data):
@ -219,7 +211,7 @@ def run(n_classes,n_epochs,input_height,
validation_data=val_gen,
validation_steps=1,
epochs=1)
model.save(dir_output+'/'+'model_'+str(i)+'.h5')
model.save(dir_output+'/'+'model_'+str(i))
#os.system('rm -rf '+dir_train_flowing)