hub / github.com/alibaba/nann / save_weights

Method save_weights

tensorflow/tensorflow/python/keras/engine/network.py:1173–1292 · view source on GitHub ↗

Saves all layer weights. Either saves in HDF5 or in TensorFlow format based on the `save_format` argument. When saving in HDF5 format, the weight file has: - `layer_names` (attribute), a list of strings (ordered names of model layers). - For every layer, a `group`

(self, filepath, overwrite=True, save_format=None)

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Callers 15

testTrackingMethod · 0.45

testDictWrapperBadKeysMethod · 0.45

testDictWrapperNoDependencyMethod · 0.45

testNonStringKeyNotTrackableValueMethod · 0.45

testNonAppendNotTrackableMethod · 0.45

testPopNoSaveMethod · 0.45

testExternalModificationNoSaveMethod · 0.45

testOverwriteCanStillSaveMethod · 0.45

test_subclass_save_modelMethod · 0.45

_save_modelMethod · 0.45

_log_embeddingsMethod · 0.45

Calls 7

_assert_weights_createdMethod · 0.95

ask_to_proceed_with_overwriteFunction · 0.90

_is_hdf5_filepathFunction · 0.85

stripMethod · 0.80

executing_eagerlyMethod · 0.80

get_sessionMethod · 0.80

saveMethod · 0.45

Tested by 15

testTrackingMethod · 0.36

testDictWrapperBadKeysMethod · 0.36

testDictWrapperNoDependencyMethod · 0.36

testNonStringKeyNotTrackableValueMethod · 0.36

testNonAppendNotTrackableMethod · 0.36

testPopNoSaveMethod · 0.36

testExternalModificationNoSaveMethod · 0.36

testOverwriteCanStillSaveMethod · 0.36

test_subclass_save_modelMethod · 0.36

test_savingMethod · 0.36

test_optimizer_dependencyMethod · 0.36