Home
last modified time | relevance | path

Searched refs:model_inputs (Results 1 – 4 of 4) sorted by relevance

/external/tensorflow/tensorflow/python/keras/engine/
Dtraining_utils_v1_test.py52 model_inputs = training_utils_v1.ModelInputs(a)
53 self.assertEqual(['input_1'], model_inputs.get_input_names())
54 vals = model_inputs.get_symbolic_inputs()
56 vals = model_inputs.get_symbolic_inputs(return_single_as_list=True)
66 model_inputs = training_utils_v1.ModelInputs(a)
67 self.assertEqual(['input_1'], model_inputs.get_input_names())
68 val = model_inputs.get_symbolic_inputs()
70 vals = model_inputs.get_symbolic_inputs(return_single_as_list=True)
76 model_inputs = training_utils_v1.ModelInputs(a)
77 self.assertEqual(['input_1'], model_inputs.get_input_names())
[all …]
Dfunctional.py1369 model_inputs = []
1376 model_inputs.append(
1378 model_inputs = nest.pack_sequence_as(network._nested_inputs, model_inputs)
1380 if not nest.is_nested(model_inputs):
1381 model_inputs = [model_inputs]
1382 model_inputs = tf_utils.convert_inner_node_data(model_inputs)
1383 config['input_layers'] = model_inputs
Dtraining_v1.py2655 model_inputs = training_utils_v1.ModelInputs(inputs)
2656 inputs = model_inputs.get_symbolic_inputs()
2657 self.inputs = model_inputs.get_symbolic_inputs(return_single_as_list=True)
2658 self.input_names = model_inputs.get_input_names()
2664 for k, v in model_inputs.as_dict():
/external/tensorflow/tensorflow/python/keras/
Dbackend.py4186 def func(model_inputs): argument
4187 outs = model(model_inputs)