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Searched refs:legacy_fully_connected (Results 1 – 2 of 2) sorted by relevance

/external/tensorflow/tensorflow/contrib/layers/python/layers/
Dlayers_test.py3955 output = _layers.legacy_fully_connected(
4018 'test', _layers.legacy_fully_connected, num_output_units=8)
4080 y = _layers.legacy_fully_connected(self.input, 2)
4085 y = _layers.legacy_fully_connected(self.input, 2, bias_init=None)
4097 _layers.legacy_fully_connected(self.input, 2, weight_regularizer=test_fn)
4111 _layers.legacy_fully_connected(self.input, 2, weight_regularizer=test_fn)
4112 _layers.legacy_fully_connected(self.input, 2, weight_regularizer=test_fn)
4127 _layers.legacy_fully_connected(self.input, 2, weight_regularizer=test_fn)
4130 _layers.legacy_fully_connected(self.input, 2, weight_regularizer=test_fn)
4143 y = _layers.legacy_fully_connected(x, 2, activation_fn=nn_ops.softmax)
[all …]
Dlayers.py3186 def legacy_fully_connected(x, function
3321 legacy_relu = functools.partial(legacy_fully_connected, activation_fn=nn.relu)
3322 legacy_linear = functools.partial(legacy_fully_connected, activation_fn=None)