ai-content-maker/.venv/Lib/site-packages/tensorboard/main_lib.py

64 lines
2.5 KiB
Python

# Copyright 2021 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Helpers for TensorBoard main module."""
import os
import sys
import absl.logging
from tensorboard.compat import tf
_TBDEV_SHUTDOWN_MESSAGE = """\
======================================================================
ERROR: The `tensorboard dev` command is no longer available.
TensorBoard.dev has been shut down. For further information,
see the FAQ at <https://tensorboard.dev/>.
======================================================================
"""
def global_init():
"""Modifies the global environment for running TensorBoard as main.
This functions changes global state in the Python process, so it should
not be called from library routines.
"""
# TF versions prior to 1.15.0 included default GCS filesystem caching logic
# that interacted pathologically with the pattern of reads used by TensorBoard
# for logdirs. See: https://github.com/tensorflow/tensorboard/issues/1225
# The problematic behavior was fixed in 1.15.0 by
# https://github.com/tensorflow/tensorflow/commit/e43b94649d3e1ac5d538e4eca9166b899511d681
# but for older versions of TF, we avoid a regression by setting this env var to
# disable the cache, which must be done before the first import of tensorflow.
os.environ["GCS_READ_CACHE_DISABLED"] = "1"
if getattr(tf, "__version__", "stub") == "stub":
print(
"TensorFlow installation not found - running with reduced feature set.",
file=sys.stderr,
)
# Only emit log messages at WARNING and above by default to reduce spam.
absl.logging.set_verbosity(absl.logging.WARNING)
# Intercept attempts to invoke `tensorboard dev` and print turndown message.
if sys.argv[1:] and sys.argv[1] == "dev":
sys.stderr.write(_TBDEV_SHUTDOWN_MESSAGE)
sys.stderr.flush()
sys.exit(1)