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Fix py3 issue with AI Platform models #2311
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
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@@ -16,10 +16,10 @@ | |
| import json | ||
| import googleapiclient.discovery | ||
| import tensorflow as tf | ||
| import sys | ||
| from IPython import display | ||
| from google.protobuf import json_format | ||
| from numbers import Number | ||
| from six import ensure_str | ||
|
Contributor
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. You may want to add six dependency on the BUILD file.
Contributor
Author
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. done |
||
| from tensorboard.plugins.interactive_inference.utils import inference_utils | ||
|
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||
| # Constants used in mutant inference generation. | ||
|
|
@@ -228,10 +228,8 @@ def create_sprite(self): | |
| example_strings = [ | ||
| self.json_to_proto(ex).SerializeToString() | ||
| for ex in self.examples] | ||
| encoded = base64.b64encode( | ||
| inference_utils.create_sprite_image(example_strings)) | ||
| if sys.version_info >= (3, 0): | ||
| encoded = encoded.decode('utf-8') | ||
| encoded = ensure_str(base64.b64encode( | ||
| inference_utils.create_sprite_image(example_strings))) | ||
| return 'data:image/png;base64,{}'.format(encoded) | ||
| else: | ||
| return None | ||
|
|
@@ -264,7 +262,8 @@ def _json_from_tf_examples(self, tf_examples): | |
| elif ex.features.feature[feat].HasField('float_list'): | ||
| json_ex[feat_idx] = ex.features.feature[feat].float_list.value[0] | ||
| else: | ||
| json_ex[feat_idx] = ex.features.feature[feat].bytes_list.value[0] | ||
| json_ex[feat_idx] = ensure_str( | ||
| ex.features.feature[feat].bytes_list.value[0]) | ||
| else: | ||
| json_ex = {} | ||
| for feat in ex.features.feature: | ||
|
|
@@ -275,7 +274,8 @@ def _json_from_tf_examples(self, tf_examples): | |
| elif ex.features.feature[feat].HasField('float_list'): | ||
| json_ex[feat] = ex.features.feature[feat].float_list.value[0] | ||
| else: | ||
| json_ex[feat] = ex.features.feature[feat].bytes_list.value[0] | ||
| json_ex[feat] = ensure_str( | ||
| ex.features.feature[feat].bytes_list.value[0]) | ||
| json_exs.append(json_ex) | ||
| return json_exs | ||
|
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Should probably do this as a separate PR but how was this previously working? GAPI isn't part of our dependency declaration and I believe we didn't do anything special to install it.
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acknowledged