本文整理汇总了Python中official.utils.logs.logger.BENCHMARK_RUN_LOG_FILE_NAME属性的典型用法代码示例。如果您正苦于以下问题：Python logger.BENCHMARK_RUN_LOG_FILE_NAME属性的具体用法？Python logger.BENCHMARK_RUN_LOG_FILE_NAME怎么用？Python logger.BENCHMARK_RUN_LOG_FILE_NAME使用的例子？那么恭喜您, 这里精选的属性代码示例或许可以为您提供帮助。您也可以进一步了解该属性所在类official.utils.logs.logger的用法示例。
在下文中一共展示了logger.BENCHMARK_RUN_LOG_FILE_NAME属性的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: upload_benchmark_run
# 需要导入模块: from official.utils.logs import logger [as 别名]
# 或者: from official.utils.logs.logger import BENCHMARK_RUN_LOG_FILE_NAME [as 别名]
def upload_benchmark_run(self, dataset_name, table_name, run_id):
"""Upload benchmark run information to Bigquery.
Args:
dataset_name: string, the name of bigquery dataset where the data will be
uploaded.
table_name: string, the name of bigquery table under the dataset where
the data will be uploaded.
run_id: string, a unique ID that will be attached to the data, usually
this is a UUID4 format.
"""
expected_file = os.path.join(
self._logging_dir, logger.BENCHMARK_RUN_LOG_FILE_NAME)
with tf.io.gfile.GFile(expected_file) as f:
benchmark_json = json.load(f)
benchmark_json["model_id"] = run_id
table_ref = self._bq_client.dataset(dataset_name).table(table_name)
errors = self._bq_client.insert_rows_json(table_ref, [benchmark_json])
if errors:
tf.compat.v1.logging.error(
"Failed to upload benchmark info to bigquery: {}".format(errors)) 示例2: upload_benchmark_run
# 需要导入模块: from official.utils.logs import logger [as 别名]
# 或者: from official.utils.logs.logger import BENCHMARK_RUN_LOG_FILE_NAME [as 别名]
def upload_benchmark_run(self, dataset_name, table_name, run_id):
"""Upload benchmark run information to Bigquery.
Args:
dataset_name: string, the name of bigquery dataset where the data will be
uploaded.
table_name: string, the name of bigquery table under the dataset where
the data will be uploaded.
run_id: string, a unique ID that will be attached to the data, usually
this is a UUID4 format.
"""
expected_file = os.path.join(
self._logging_dir, logger.BENCHMARK_RUN_LOG_FILE_NAME)
with tf.gfile.GFile(expected_file) as f:
benchmark_json = json.load(f)
benchmark_json["model_id"] = run_id
table_ref = self._bq_client.dataset(dataset_name).table(table_name)
errors = self._bq_client.insert_rows_json(table_ref, [benchmark_json])
if errors:
tf.logging.error(
"Failed to upload benchmark info to bigquery: {}".format(errors)) 示例3: main
# 需要导入模块: from official.utils.logs import logger [as 别名]
# 或者: from official.utils.logs.logger import BENCHMARK_RUN_LOG_FILE_NAME [as 别名]
def main(_):
if not flags.FLAGS.benchmark_log_dir:
print("Usage: benchmark_uploader.py --benchmark_log_dir=/some/dir")
sys.exit(1)
uploader = benchmark_uploader.BigQueryUploader(
gcp_project=flags.FLAGS.gcp_project)
run_id = str(uuid.uuid4())
run_json_file = os.path.join(
flags.FLAGS.benchmark_log_dir, logger.BENCHMARK_RUN_LOG_FILE_NAME)
metric_json_file = os.path.join(
flags.FLAGS.benchmark_log_dir, logger.METRIC_LOG_FILE_NAME)
uploader.upload_benchmark_run_file(
flags.FLAGS.bigquery_data_set, flags.FLAGS.bigquery_run_table, run_id,
run_json_file)
uploader.upload_metric_file(
flags.FLAGS.bigquery_data_set, flags.FLAGS.bigquery_metric_table, run_id,
metric_json_file)
# Assume the run finished successfully before user invoke the upload script.
uploader.insert_run_status(
flags.FLAGS.bigquery_data_set, flags.FLAGS.bigquery_run_status_table,
run_id, logger.RUN_STATUS_SUCCESS) 开发者ID:ShivangShekhar，项目名称:Live-feed-object-device-identification-using-Tensorflow-and-OpenCV，代码行数:25，代码来源:benchmark_uploader_main.py