def testNegation(self):
paths = [gc.Path("/foo", 4), gc.Path("/foo", 5), gc.Path("/foo", 6),
gc.Path("/foo", 9)]
mod = gc.negation(gc.mod_export_version(2))
self.assertEquals(
mod(paths), [gc.Path("/foo", 5), gc.Path("/foo", 9)])
mod = gc.negation(gc.mod_export_version(3))
self.assertEquals(
mod(paths), [gc.Path("/foo", 4), gc.Path("/foo", 5)])
def testNegation(self):
paths = [gc.Path("/foo", 4), gc.Path("/foo", 5), gc.Path("/foo", 6),
gc.Path("/foo", 9)]
mod = gc.negation(gc.mod_export_version(2))
self.assertEquals(
mod(paths), [gc.Path("/foo", 5), gc.Path("/foo", 9)])
mod = gc.negation(gc.mod_export_version(3))
self.assertEquals(
mod(paths), [gc.Path("/foo", 4), gc.Path("/foo", 5)])
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.
Returns:
The string path to the exported directory.
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")
# Export dir must not end with / or it will break exports to keep. Strip /.
if export_dir_base.endswith("/"):
export_dir_base = export_dir_base[:-1]
global_step = training_util.global_step(sess, global_step_tensor)
export_dir = os.path.join(
compat.as_bytes(export_dir_base),
compat.as_bytes(constants.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 = compat.as_text(export_dir) + "-tmp"
gfile.MakeDirs(tmp_export_dir)
self._saver.save(sess,
os.path.join(
compat.as_text(tmp_export_dir),
compat.as_text(constants.EXPORT_BASE_NAME)),
meta_graph_suffix=constants.EXPORT_SUFFIX_NAME)
# Run the asset callback.
if self._assets_callback and self._assets_to_copy:
assets_dir = os.path.join(
compat.as_bytes(tmp_export_dir),
compat.as_bytes(constants.ASSETS_DIRECTORY))
gfile.MakeDirs(assets_dir)
self._assets_callback(self._assets_to_copy, 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)
return export_dir
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.
Returns:
The string path to the exported directory.
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")
# Export dir must not end with / or it will break exports to keep. Strip /.
if export_dir_base.endswith("/"):
export_dir_base = export_dir_base[:-1]
global_step = training_util.global_step(sess, global_step_tensor)
export_dir = os.path.join(
compat.as_bytes(export_dir_base),
compat.as_bytes(constants.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 = compat.as_text(export_dir) + "-tmp"
gfile.MakeDirs(tmp_export_dir)
self._saver.save(sess,
os.path.join(
compat.as_text(tmp_export_dir),
compat.as_text(constants.EXPORT_BASE_NAME)),
meta_graph_suffix=constants.EXPORT_SUFFIX_NAME)
# Run the asset callback.
if self._assets_callback and self._assets_to_copy:
assets_dir = os.path.join(
compat.as_bytes(tmp_export_dir),
compat.as_bytes(constants.ASSETS_DIRECTORY))
gfile.MakeDirs(assets_dir)
self._assets_callback(self._assets_to_copy, 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)
return export_dir
