Searched refs:c_tm1 (Results 1 – 3 of 3) sorted by relevance
| /external/tensorflow/tensorflow/python/keras/layers/ |
| D | recurrent.py | 2395 def _compute_carry_and_output(self, x, h_tm1, c_tm1): argument
2403 c = f * c_tm1 + i * self.activation(x_c + K.dot(
2409 def _compute_carry_and_output_fused(self, z, c_tm1): argument
2414 c = f * c_tm1 + i * self.activation(z2)
2420 c_tm1 = states[1] # previous carry state
2463 c, o = self._compute_carry_and_output(x, h_tm1, c_tm1)
2473 c, o = self._compute_carry_and_output_fused(z, c_tm1)
2616 def _compute_carry_and_output(self, x, h_tm1, c_tm1): argument
2621 self.input_gate_peephole_weights * c_tm1)
2624 self.forget_gate_peephole_weights * c_tm1)
[all …]
|
| D | convolutional_recurrent.py | 592 c_tm1 = states[1] # previous carry state
645 c = f * c_tm1 + i * self.activation(x_c + h_c)
|
| D | recurrent_v2.py | 1377 c_tm1 = cell_states[1] # previous carry state
1387 c = f * c_tm1 + i * nn.tanh(z2)
|