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| author |  Jacques Pienaar <jpienaar@google.com> | 2018-03-15 12:58:08 -0700 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2018-03-15 13:03:19 -0700 |
| commit | ccd8079e579604547f4b4d8a6b061cfdc6ce49bf (patch) | |
| tree | 0d498e84ca32a101afcada0993a30a5e3b0452a2 /tensorflow/tools/test | |
| parent | 61032e9ca7bf9849cb65db9b646381d124080856 (diff) | |
Merge changes from github.
PiperOrigin-RevId: 189231636
Diffstat (limited to 'tensorflow/tools/test')
| -rw-r--r-- | tensorflow/tools/test/upload_test_benchmarks.py | 9 |
1 files changed, 5 insertions, 4 deletions
diff --git a/tensorflow/tools/test/upload_test_benchmarks.py b/tensorflow/tools/test/upload_test_benchmarks.py index 77cc9f75f7..edd093510e 100644 --- a/tensorflow/tools/test/upload_test_benchmarks.py +++ b/tensorflow/tools/test/upload_test_benchmarks.py @@ -88,6 +88,7 @@ import os import shutil from google.cloud import datastore +from six import text_type def is_real_file(dirpath, fname): @@ -150,7 +151,7 @@ def upload_benchmark_data(client, data): """ test_result = json.loads(data) - test_name = unicode(test_result["name"]) + test_name = text_type(test_result["name"]) start_time = datetime.datetime.utcfromtimestamp( float(test_result["startTime"])) batch = [] @@ -162,7 +163,7 @@ def upload_benchmark_data(client, data): t_val.update({ "test": test_name, "start": start_time, - "info": unicode(data) + "info": text_type(data) }) batch.append(t_val) @@ -170,7 +171,7 @@ def upload_benchmark_data(client, data): # the attribute to be fetched and displayed. The full entry information is # also stored as a non-indexed JSON blob. for ent in test_result["entries"].get("entry", []): - ent_name = unicode(ent["name"]) + ent_name = text_type(ent["name"]) e_key = client.key("Entry") e_val = datastore.Entity(e_key, exclude_from_indexes=["info"]) e_val.update({ @@ -178,7 +179,7 @@ def upload_benchmark_data(client, data): "start": start_time, "entry": ent_name, "timing": ent["wallTime"], - "info": unicode(json.dumps(ent)) + "info": text_type(json.dumps(ent)) }) batch.append(e_val) |