/
tensorflow_gfile.py
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/
tensorflow_gfile.py
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# Lint as: python2, python3
# Copyright 2020 Google LLC. 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.
"""Tensorflow GFile-based filesystem plugin."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from typing import Any, Callable, Iterable, List, Text, Tuple
from tfx.dsl.io import filesystem
from tfx.dsl.io import filesystem_registry
from tfx.dsl.io.filesystem import PathType
try:
import tensorflow as tf # pylint: disable=g-import-not-at-top
except ModuleNotFoundError:
tf = None
if tf:
class TensorflowFilesystem(filesystem.Filesystem):
"""Filesystem that delegates to `tensorflow.io.gfile`."""
SUPPORTED_SCHEMES = ['', 'gs://', 'hdfs://', 's3://']
@staticmethod
def open(name: PathType, mode: Text = 'r') -> Any:
# Because the GFile implementation delays I/O until necessary, we cannot
# catch `NotFoundError` here.
return tf.io.gfile.GFile(name, mode=mode)
@staticmethod
def copy(src: PathType, dst: PathType, overwrite: bool = False) -> None:
try:
tf.io.gfile.copy(src, dst, overwrite=overwrite)
except tf.errors.NotFoundError as e:
raise filesystem.NotFoundError() from e
@staticmethod
def exists(path: PathType) -> bool:
return tf.io.gfile.exists(path)
@staticmethod
def glob(pattern: PathType) -> List[PathType]:
try:
return tf.io.gfile.glob(pattern)
except tf.errors.NotFoundError:
return []
@staticmethod
def isdir(path: PathType) -> bool:
return tf.io.gfile.isdir(path)
@staticmethod
def listdir(path: PathType) -> List[PathType]:
try:
return tf.io.gfile.listdir(path)
except tf.errors.NotFoundError as e:
raise filesystem.NotFoundError() from e
@staticmethod
def makedirs(path: PathType) -> None:
tf.io.gfile.makedirs(path)
@staticmethod
def mkdir(path: PathType) -> None:
try:
tf.io.gfile.mkdir(path)
except tf.errors.NotFoundError as e:
raise filesystem.NotFoundError() from e
@staticmethod
def remove(path: PathType) -> None:
try:
tf.io.gfile.remove(path)
except tf.errors.NotFoundError as e:
raise filesystem.NotFoundError() from e
@staticmethod
def rename(src: PathType, dst: PathType, overwrite: bool = False) -> None:
try:
tf.io.gfile.rename(src, dst, overwrite=overwrite)
except tf.errors.NotFoundError as e:
raise filesystem.NotFoundError() from e
@staticmethod
def rmtree(path: PathType) -> None:
try:
tf.io.gfile.rmtree(path)
except tf.errors.NotFoundError as e:
raise filesystem.NotFoundError() from e
@staticmethod
def stat(path: PathType) -> Any:
try:
return tf.io.gfile.stat(path)
except tf.errors.NotFoundError as e:
raise filesystem.NotFoundError() from e
@staticmethod
def walk(
top: PathType,
topdown: bool = True,
onerror: Callable[..., None] = None
) -> Iterable[Tuple[PathType, List[PathType], List[PathType]]]:
try:
yield from tf.io.gfile.walk(top, topdown=topdown, onerror=onerror)
except tf.errors.NotFoundError as e:
raise filesystem.NotFoundError() from e
filesystem_registry.DEFAULT_FILESYSTEM_REGISTRY.register(
TensorflowFilesystem, priority=0, use_as_fallback=True)
else:
TensorflowFilesystem = None # pylint: disable=invalid-name