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Searched refs:state_var (Results 1 – 4 of 4) sorted by relevance

/external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/state_space_models/
Dkalman_filter_test.py74 state_var = array_ops.placeholder(shape=[1, 4, 4], dtype=dtype)
89 prior_state_var=state_var, transition_matrices=transition_fn([1]),
92 state_mean=pred_state, state_var=pred_state_var,
108 state_var: evaled_state_var,
141 state_var = constant_op.constant([[[4., 0.], [0., 3.]]])
143 state, state_var,
148 state, state_var,
162 self, state, state_var, observation, observation_model, observation_noise, argument
166 state, state_var, observation_model,
170 state, state_var, observation,
[all …]
Dkalman_filter.py307 def observed_from_state(self, state_mean, state_var, observation_model, argument
336 math_ops.matmul(observation_model, state_var),
Dstate_space_model.py467 state_var=estimated_state_var,
/external/tensorflow/tensorflow/contrib/recurrent/python/ops/
Dfunctional_rnn.py202 for state_var in nest.flatten(acc_state):
205 shape = array_ops.shape(state_var)
212 dtype=state_var.dtype)
215 sliced = math_ops.multiply(last_idx_for_bcast, state_var)