(self, config)
| 21 | class RNN(object): |
| 22 | |
| 23 | def __init__(self, config): |
| 24 | self._batch_size = config.batch_size |
| 25 | self._time_steps = config.time_steps |
| 26 | self._input_size = config.input_size |
| 27 | self._output_size = config.output_size |
| 28 | self._cell_size = config.cell_size |
| 29 | self._lr = config.learning_rate |
| 30 | self._built_RNN() |
| 31 | |
| 32 | def _built_RNN(self): |
| 33 | with tf.variable_scope('inputs'): |
nothing calls this directly
no test coverage detected