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

/external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/state_space_models/
Dtest_utils.py39 state_dimension = tensor_shape.dimension_value(transition_matrix.shape[0])
41 shape=[state_dimension, state_dimension], dtype=transition_matrix.dtype)
48 state_dimension, batch_shape=array_ops.shape(num_steps)).eval()
67 state_dimension = tensor_shape.dimension_value(transition_matrix.shape[0])
75 shape=[state_dimension, state_dimension], dtype=model.dtype))
77 shape=[state_dimension, state_dimension], dtype=model.dtype)
Dstate_space_model.py514 state_dimension = tensor_shape.dimension_value(state_transition.shape[0])
518 state_dimension,
523 exogenous_values, state_dimension)
527 exogenous_values, state_dimension, activation_fn=None)
578 state_dimension = tensor_shape.dimension_value(start_covariance.shape[1])
582 exogenous_values, state_dimension))
716 state_dimension = ops.convert_to_tensor(
720 state_dimension, "prior_state_var",
723 return linalg_ops.eye(state_dimension, dtype=self.dtype)
747 state_dimension = state_transition.get_shape().dims[0].value
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Dstate_space_model_test.py58 state_dimension, argument
62 size=[state_dimension, state_dimension]).astype(
65 size=(state_dimension, state_noise_dimension)).astype(
69 size=(configuration.num_features, state_dimension)).astype(
126 state_dimension=1, state_noise_dimension=1,
173 state_dimension=5,
254 state_dimension=5,
366 state_dimension=5, state_noise_dimension=4,
387 state_dimension=5, state_noise_dimension=4,
420 state_dimension=5, state_noise_dimension=4,
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Dvarma.py86 self.state_dimension = self.state_num_blocks * self.num_features
119 [self.num_features, self.state_dimension])