hub / github.com/benoitsteiner/tensorflow-opencl / restore

Method restore

tensorflow/python/training/saver.py:1648–1675 · view source on GitHub ↗

Restores previously saved variables. This method runs the ops added by the constructor for restoring variables. It requires a session in which the graph was launched. The variables to restore do not have to have been initialized, as restoring is itself a way to initialize variables

(self, sess, save_path)

Source from the content-addressed store, hash-verified

source not stored for this graph (policy: none)

Callers 15

freeze_graph_with_def_protosFunction · 0.95

basicSaveRestoreMethod · 0.95

testEagerBasicMethod · 0.95

testEagerGraphCompatibilityMethod · 0.95

testResourceSaveRestoreCachingDeviceMethod · 0.95

testSaveCopyRestoreWithSaveRelativePathsMethod · 0.95

testInvalidPathMethod · 0.95

testInt64Method · 0.95

testBasicsWithListOfVariablesMethod · 0.95

_SaveAndLoadMethod · 0.95

testAllowEmptyMethod · 0.95

testVariablesMethod · 0.95

Calls 3

_build_eagerMethod · 0.95

in_graph_modeMethod · 0.80

runMethod · 0.45

Tested by 15

basicSaveRestoreMethod · 0.76

testEagerBasicMethod · 0.76

testEagerGraphCompatibilityMethod · 0.76

testResourceSaveRestoreCachingDeviceMethod · 0.76

testSaveCopyRestoreWithSaveRelativePathsMethod · 0.76

testInvalidPathMethod · 0.76

testInt64Method · 0.76

testBasicsWithListOfVariablesMethod · 0.76

_SaveAndLoadMethod · 0.76

testAllowEmptyMethod · 0.76

testVariablesMethod · 0.76

testDeferredBuildMethod · 0.76