def testPathsWithParse(self):
base_dir = os.path.join(tf.test.get_temp_dir(), "paths_parse")
self.assertFalse(gfile.Exists(base_dir))
for p in xrange(3):
gfile.MakeDirs(os.path.join(base_dir, "%d" % p))
# add a base_directory to ignore
gfile.MakeDirs(os.path.join(base_dir, "ignore"))
# create a simple parser that pulls the export_version from the directory.
def parser(path):
match = re.match("^" + base_dir + "/(\\d+)$", path.path)
if not match:
return None
return path._replace(export_version=int(match.group(1)))
self.assertEquals(gc.get_paths(base_dir, parser=parser), [
gc.Path(os.path.join(base_dir, "0"), 0),
gc.Path(os.path.join(base_dir, "1"), 1),
gc.Path(os.path.join(base_dir, "2"), 2)
])
def testPathsWithParse(self):
base_dir = os.path.join(tf.test.get_temp_dir(), "paths_parse")
self.assertFalse(gfile.Exists(base_dir))
for p in xrange(3):
gfile.MakeDirs(os.path.join(base_dir, "%d" % p))
# add a base_directory to ignore
gfile.MakeDirs(os.path.join(base_dir, "ignore"))
# create a simple parser that pulls the export_version from the directory.
def parser(path):
match = re.match("^" + base_dir + "/(\\d+)$", path.path)
if not match:
return None
return path._replace(export_version=int(match.group(1)))
self.assertEquals(
gc.get_paths(base_dir, parser=parser),
[gc.Path(os.path.join(base_dir, "0"), 0),
gc.Path(os.path.join(base_dir, "1"), 1),
gc.Path(os.path.join(base_dir, "2"), 2)])
def export(self,
export_dir_base,
global_step_tensor,
sess=None,
exports_to_keep=None):
"""Exports the model.
Args:
export_dir_base: A string path to the base export dir.
global_step_tensor: An Tensor or tensor name providing the
global step counter to append to the export directory path and set
in the manifest version.
sess: A Session to use to save the parameters.
exports_to_keep: a gc.Path filter function used to determine the set of
exports to keep. If set to None, all versions will be kept.
Raises:
RuntimeError: if init is not called.
RuntimeError: if the export would overwrite an existing directory.
"""
if not self._has_init:
raise RuntimeError("init must be called first")
global_step = training_util.global_step(sess, global_step_tensor)
export_dir = os.path.join(export_dir_base,
VERSION_FORMAT_SPECIFIER % global_step)
# Prevent overwriting on existing exports which could lead to bad/corrupt
# storage and loading of models. This is an important check that must be
# done before any output files or directories are created.
if gfile.Exists(export_dir):
raise RuntimeError("Overwriting exports can cause corruption and are "
"not allowed. Duplicate export dir: %s" % export_dir)
# Output to a temporary directory which is atomically renamed to the final
# directory when complete.
tmp_export_dir = export_dir + "-tmp"
gfile.MakeDirs(tmp_export_dir)
self._saver.save(sess,
os.path.join(tmp_export_dir, EXPORT_BASE_NAME),
meta_graph_suffix=EXPORT_SUFFIX_NAME)
# Run the asset callback.
if self._assets_callback:
assets_dir = os.path.join(tmp_export_dir, ASSETS_DIRECTORY)
gfile.MakeDirs(assets_dir)
self._assets_callback(assets_dir)
# TODO(b/27794910): Delete *checkpoint* file before rename.
gfile.Rename(tmp_export_dir, export_dir)
if exports_to_keep:
# create a simple parser that pulls the export_version from the directory.
def parser(path):
match = re.match("^" + export_dir_base + "/(\\d{8})$", path.path)
if not match:
return None
return path._replace(export_version=int(match.group(1)))
paths_to_delete = gc.negation(exports_to_keep)
for p in paths_to_delete(gc.get_paths(export_dir_base, parser=parser)):
gfile.DeleteRecursively(p.path)