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Merged
merged 3 commits into from
Feb 23, 2018
Merged

1) try exception with Exception / 2) use enumerate instead of range(l… #347

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e2f25d8
1) try exception with Exception / 2) use enumerate instead of range(l…
zsdonghao Feb 22, 2018
ac556ab
remove unused import in tfrecord3.py example
zsdonghao Feb 22, 2018
42f34c7
try Exception in tfrecord3.py
zsdonghao Feb 22, 2018
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5 changes: 1 addition & 4 deletions example/tutorial_tfrecord3.py
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Original file line number Diff line number Diff line change
Expand Up @@ -15,15 +15,12 @@

"""

import io
import json
import os
import time
import numpy as np
import tensorflow as tf
import tensorlayer as tl
from PIL import Image
from tensorlayer.layers import set_keep


def _int64_feature(value):
Expand Down Expand Up @@ -326,7 +323,7 @@ def prefetch_input_data(reader,
try:
# for TensorFlow 0.11
img = tf.image.resize_images(img, size=(resize_height, resize_width), method=tf.image.ResizeMethod.BILINEAR)
except:
except Exception:
# for TensorFlow 0.10
img = tf.image.resize_images(img, new_height=resize_height, new_width=resize_width, method=tf.image.ResizeMethod.BILINEAR)
# Crop to final dimensions.
Expand Down
8 changes: 5 additions & 3 deletions tensorlayer/prepro.py
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Original file line number Diff line number Diff line change
Expand Up @@ -100,8 +100,10 @@ def apply_fn(results, i, data, kwargs):
if thread_count is None:
results = [None] * len(data)
threads = []
for i in range(len(data)):
t = threading.Thread(name='threading_and_return', target=apply_fn, args=(results, i, data[i], kwargs))
# for i in range(len(data)):
# t = threading.Thread(name='threading_and_return', target=apply_fn, args=(results, i, data[i], kwargs))
for i, d in enumerate(data):
t = threading.Thread(name='threading_and_return', target=apply_fn, args=(results, i, d, kwargs))
t.start()
threads.append(t)
else:
Expand All @@ -120,7 +122,7 @@ def apply_fn(results, i, data, kwargs):
if thread_count is None:
try:
return np.asarray(results)
except:
except Exception:
return results
else:
return np.concatenate(results)
Expand Down