tf.io.gfile.exists

TensorFlow 1 version

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Returns a list of files that match the given pattern(s).

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.io.gfile.glob

tf.io.gfile.glob(
    pattern
)

Used in the notebooks

Used in the tutorials
Simple audio recognition: Recognizing keywords Semantic Search with Approximate Nearest Neighbors and Text Embeddings

The patterns are defined as strings. Supported patterns are defined here. Note that the pattern can be a Python iteratable of string patterns.

The format definition of the pattern is:

pattern: { term }

term:

'*': matches any sequence of non-'/' characters
'?': matches a single non-'/' character
'[' [ '^' ] { match-list } ']': matches any single character (not) on the list
c: matches character c where c != '*', '?', '\\', '['
'\\' c: matches character c

character range:

c: matches character c while c != '\\', '-', ']'
'\\' c: matches character c
lo '-' hi: matches character c for lo <= c <= hi

Examples:

tf.io.gfile.glob("*.py")
# For example, ['__init__.py']

tf.io.gfile.glob("__init__.??")
# As above

files = {"*.py"}
the_iterator = iter(files)
tf.io.gfile.glob(the_iterator)
# As above

See the C++ function GetMatchingPaths in core/platform/file_system.h for implementation details.

Args
`pattern`	string or iterable of strings. The glob pattern(s).

Returns
A list of strings containing filenames that match the given pattern(s).

Raises
`errors.OpError`	If there are filesystem / directory listing errors.
`errors.NotFoundError`	If pattern to be matched is an invalid directory.

TensorFlow

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tf.io / gfile / gfile.exists

View aliases

Used in the notebooks

Examples:

Args

Returns

Raises