@ -181,7 +181,6 @@ def _predict_one_epoch(dataset: tf.data.Dataset,
|
||||
# go through the data set
|
||||
counter = 0
|
||||
import gc
|
||||
import sys
|
||||
from tensorflow.python.eager import context
|
||||
|
||||
for inputs in dataset:
|
||||
@ -210,24 +209,10 @@ def _predict_one_epoch(dataset: tf.data.Dataset,
|
||||
|
||||
counter += 1
|
||||
|
||||
print((
|
||||
f"counter: {counter}"
|
||||
f"list: {sys.getrefcount(decoded_predictions_batch)}"
|
||||
f"result: {sys.getrefcount(result)}"
|
||||
f"np list: {sys.getrefcount(decoded_predictions_batch_np)}"
|
||||
))
|
||||
|
||||
tf.set_random_seed(1)
|
||||
context.context()._clear_caches()
|
||||
gc.collect()
|
||||
|
||||
print((
|
||||
f"counter: {counter}"
|
||||
f"list: {sys.getrefcount(decoded_predictions_batch)}"
|
||||
f"result: {sys.getrefcount(result)}"
|
||||
f"np list: {sys.getrefcount(decoded_predictions_batch_np)}"
|
||||
))
|
||||
|
||||
epoch_end_time = time.time()
|
||||
per_epoch_time = epoch_end_time - epoch_start_time
|
||||
|
||||
|
||||
Reference in New Issue
Block a user