TensorFlow 1 version | View source on GitHub |
Copies data from src
to dst
.
tf.io.gfile.copy(
src, dst, overwrite=False
)
with open("/tmp/x", "w") as f:
f.write("asdf")
4
tf.io.gfile.exists("/tmp/x")
True
tf.io.gfile.copy("/tmp/x", "/tmp/y")
tf.io.gfile.exists("/tmp/y")
True
tf.io.gfile.remove("/tmp/y")
You can also specify the URI scheme for selecting a different filesystem:
with open("/tmp/x", "w") as f:
f.write("asdf")
4
tf.io.gfile.copy("/tmp/x", "file:///tmp/y")
tf.io.gfile.exists("/tmp/y")
True
tf.io.gfile.remove("/tmp/y")
Note that you need to always specify a file name, even if moving into a new directory. This is because some cloud filesystems don't have the concept of a directory.
with open("/tmp/x", "w") as f:
f.write("asdf")
4
tf.io.gfile.mkdir("/tmp/new_dir")
tf.io.gfile.copy("/tmp/x", "/tmp/new_dir/y")
tf.io.gfile.exists("/tmp/new_dir/y")
True
tf.io.gfile.rmtree("/tmp/new_dir")
If you want to prevent errors if the path already exists, you can use
overwrite
argument:
with open("/tmp/x", "w") as f:
f.write("asdf")
4
tf.io.gfile.copy("/tmp/x", "file:///tmp/y")
tf.io.gfile.copy("/tmp/x", "file:///tmp/y", overwrite=True)
tf.io.gfile.remove("/tmp/y")
Note that the above will still result in an error if you try to overwrite a directory with a file.
Note that you cannot copy a directory, only file arguments are supported.
Args | |
---|---|
src
|
string, name of the file whose contents need to be copied |
dst
|
string, name of the file to which to copy to |
overwrite
|
boolean, if false it's an error for dst to be occupied by an
existing file.
|
Raises | |
---|---|
errors.OpError
|
If the operation fails. |