| /external/libopus/scripts/ |
| dump_rnn.py | 9 from keras.models import load_model
36 model = load_model("weights.hdf5", custom_objects={'binary_crossentrop2': binary_crossentrop2})
|
| /external/tensorflow/tensorflow/contrib/keras/api/keras/models/ |
| __init__.py | 21 from tensorflow.python.keras.models import load_model
|
| /external/tensorflow/tensorflow/python/keras/saving/ |
| hdf5_format_test.py | 373 new_model = keras.models.load_model(fname)
429 new_model = keras.models.load_model(fname)
453 new_model = keras.models.load_model(fname)
487 model = keras.models.load_model(
527 model = keras.models.load_model(fname)
546 model = keras.models.load_model(fname)
564 model = keras.models.load_model(fname)
581 model = keras.models.load_model(fname)
601 model = keras.models.load_model(fname)
633 model = keras.models.load_model(fname
[all...] |
| __init__.py | 21 from tensorflow.python.keras.saving.hdf5_format import load_model
|
| saved_model_test.py | 264 def load_model(sess, path, mode): function
355 inputs, outputs, _ = load_model(sess, saved_model_dir,
365 inputs, outputs, _ = load_model(sess, saved_model_dir,
393 inputs, outputs, meta_graph_def = load_model(
430 inputs, outputs, _ = load_model(sess, saved_model_dir,
507 inputs, outputs, _ = load_model(sess, saved_model_dir,
537 inputs, outputs, _ = load_model(sess, saved_model_dir,
|
| hdf5_format.py | 144 @keras_export('keras.models.load_model')
145 def load_model(filepath, custom_objects=None, compile=True): # pylint: disable=redefined-builtin function
171 raise ImportError('`load_model` requires h5py.')
[all...] |
| /external/tensorflow/tensorflow/python/keras/ |
| models.py | 43 load_model = hdf5_format.load_model variable
|
| losses_test.py | 180 loaded_model = keras.models.load_model(model_filename)
[all...] |
| /external/tensorflow/tensorflow/lite/testing/model_coverage/ |
| model_coverage_lib.py | 203 keras_model = _keras.models.load_model(filename)
|
| /external/tensorflow/tensorflow/lite/python/ |
| lite_test.py | [all...] |
| lite.py | 627 keras_model = _keras.models.load_model(model_file)
[all...] |
