os set

eda/esmm/Model_pipline/dist_predict.py

@@ -159,7 +159,7 @@ def main(_):
     }
     config = tf.estimator.RunConfig().replace(session_config = tf.ConfigProto(device_count={'GPU':0, 'CPU':36}),
             log_step_count_steps=100, save_summary_steps=100)
-    Estimator = tf.estimator.Estimator(model_fn=model_fn, model_dir="hdfs:///172.16.32.4:8020/strategy/esmm/model_ckpt/DeepCvrMTL/", params=model_params, config=config)
+    Estimator = tf.estimator.Estimator(model_fn=model_fn, model_dir=model_dir, params=model_params, config=config)
 
     preds = Estimator.predict(input_fn=lambda: input_fn(te_files, num_epochs=1, batch_size=10000), predict_keys=["pctcvr","pctr","pcvr"])
     # indices = []