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Method __call__

tensorflow/contrib/rnn/python/ops/rnn_cell.py:1315–1339  ·  view source on GitHub ↗

Run the cell and add its inputs to its outputs. Args: inputs: cell inputs. state: cell state. scope: optional cell scope. Returns: Tuple of cell outputs and new state. Raises: TypeError: If cell inputs and outputs have different structure (type). Va

(self, inputs, state, scope=None)

Source from the content-addressed store, hash-verified

1313 return inp * carry + out * transform
1314
1315 def __call__(self, inputs, state, scope=None):
1316 """Run the cell and add its inputs to its outputs.
1317
1318 Args:
1319 inputs: cell inputs.
1320 state: cell state.
1321 scope: optional cell scope.
1322
1323 Returns:
1324 Tuple of cell outputs and new state.
1325
1326 Raises:
1327 TypeError: If cell inputs and outputs have different structure (type).
1328 ValueError: If cell inputs and outputs have different structure (value).
1329 """
1330 outputs, new_state = self._cell(inputs, state, scope=scope)
1331 nest.assert_same_structure(inputs, outputs)
1332
1333 # Ensure shapes match
1334 def assert_shape_match(inp, out):
1335 inp.get_shape().assert_is_compatible_with(out.get_shape())
1336
1337 nest.map_structure(assert_shape_match, inputs, outputs)
1338 res_outputs = nest.map_structure(self._highway, inputs, outputs)
1339 return (res_outputs, new_state)
1340
1341
1342class LayerNormBasicLSTMCell(rnn_cell_impl.RNNCell):

Callers

nothing calls this directly

Calls 1

_cellMethod · 0.80

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