# tf.io.gfile.exists

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|---|
| [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.13.1/tensorflow/python/lib/io/file_io.py#L249-L293) |

Determines whether a path exists or not.

#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

[`tf.compat.v1.io.gfile.exists`](https://www.tensorflow.org/api_docs/python/tf/io/gfile/exists)

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    tf.io.gfile.exists(
        path
    )

    with open("/tmp/x", "w") as f:
      f.write("asdf")

    4
    tf.io.gfile.exists("/tmp/x")
    True

You can also specify the URI scheme for selecting a different filesystem:

    # for a GCS filesystem path:
    # tf.io.gfile.exists("gs://bucket/file")
    # for a local filesystem:
    with open("/tmp/x", "w") as f:
      f.write("asdf")

    4
    tf.io.gfile.exists("file:///tmp/x")
    True

This currently returns `True` for existing directories but don't rely on this
behavior, especially if you are using cloud filesystems (e.g., GCS, S3,
Hadoop):

    tf.io.gfile.exists("/tmp")
    True

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| ## Args ||
|---|---|
| `path` | string, a path |

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| ## Returns ||
|---|---|
| True if the path exists, whether it's a file or a directory. False if the path does not exist and there are no filesystem errors. ||

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| ## Raises ||
|---|---|
| [`errors.OpError`](https://www.tensorflow.org/api_docs/python/tf/errors/OpError) | Propagates any errors reported by the FileSystem API. |

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