Searched refs:c_tm1 (Results 1 – 3 of 3) sorted by relevance
| /external/tensorflow/tensorflow/python/keras/layers/ |
| D | recurrent.py | 2191 def _compute_carry_and_output(self, x, h_tm1, c_tm1): argument
2199 c = f * c_tm1 + i * self.activation(x_c + K.dot(
2205 def _compute_carry_and_output_fused(self, z, c_tm1): argument
2210 c = f * c_tm1 + i * self.activation(z2)
2216 c_tm1 = states[1] # previous carry state
2259 c, o = self._compute_carry_and_output(x, h_tm1, c_tm1)
2271 c, o = self._compute_carry_and_output_fused(z, c_tm1)
2372 def _compute_carry_and_output(self, x, h_tm1, c_tm1): argument
2377 self.input_gate_peephole_weights * c_tm1)
2380 self.forget_gate_peephole_weights * c_tm1)
[all …]
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| D | recurrent_v2.py | 759 c_tm1 = cell_states[1] # previous carry state
769 c = f * c_tm1 + i * activation(z2)
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| D | convolutional_recurrent.py | 650 c_tm1 = states[1] # previous carry state
703 c = f * c_tm1 + i * self.activation(x_c + h_c)
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