snapshot...

modules/deeplearning/cloud_opd_fcn_abi.py

@@ -390,7 +390,7 @@ class SRCNN:
         dataset = tf.data.Dataset.from_generator(gen, output_types=tf.int32)
         dataset = dataset.batch(PROC_BATCH_SIZE)
         dataset = dataset.map(self.data_function, num_parallel_calls=8)
-        dataset = dataset.cache(CACHE_FILE)
+        dataset = dataset.cache(filename=CACHE_FILE)
         dataset = dataset.shuffle(PROC_BATCH_BUFFER_SIZE, reshuffle_each_iteration=True)
         if DO_AUGMENT:
             dataset = dataset.map(augment_image(), num_parallel_calls=8)
@@ -409,7 +409,7 @@ class SRCNN:
         dataset = tf.data.Dataset.from_generator(gen, output_types=tf.int32)
         dataset = dataset.batch(PROC_BATCH_SIZE)
         dataset = dataset.map(self.data_function_test, num_parallel_calls=8)
-        dataset = dataset.cache(CACHE_FILE)
+        dataset = dataset.cache()
         self.test_dataset = dataset
 
     def setup_pipeline(self, train_data_files, train_label_files, test_data_files, test_label_files, num_train_samples):