cea52f3bbf3ccd4cbba0668eb5b92936c0606bc7,flowers/trainer/preprocess.py,TFExampleFromImageDoFn,process,#TFExampleFromImageDoFn#Any#,314
Before Change
try:
embedding = self.preprocess_graph.calculate_embedding(image_bytes)
except errors.InvalidArgumentError as e:
context.aggregate_to(incompatible_image, 1)
logging.warning("Could not encode an image from %s: %s", uri, str(e))
return
if embedding.any():
After Change
def _float_feature(value):
return tf.train.Feature(float_list=tf.train.FloatList(value=value))
try:
element = element.element
except AttributeError:
pass
uri, label_ids, image_bytes = element
try:
embedding = self.preprocess_graph.calculate_embedding(image_bytes)

In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances
Project Name: GoogleCloudPlatform/cloudml-samples
Commit Name: cea52f3bbf3ccd4cbba0668eb5b92936c0606bc7
Time: 2017-02-10
Author: andreasst@google.com
File Name: flowers/trainer/preprocess.py
Class Name: TFExampleFromImageDoFn
Method Name: process
Project Name: GoogleCloudPlatform/cloudml-samples
Commit Name: cea52f3bbf3ccd4cbba0668eb5b92936c0606bc7
Time: 2017-02-10
Author: andreasst@google.com
File Name: flowers/trainer/preprocess.py
Class Name: ExtractLabelIdsDoFn
Method Name: process
Project Name: GoogleCloudPlatform/cloudml-samples
Commit Name: cea52f3bbf3ccd4cbba0668eb5b92936c0606bc7
Time: 2017-02-10
Author: andreasst@google.com
File Name: flowers/trainer/preprocess.py
Class Name: ReadImageAndConvertToJpegDoFn
Method Name: process