Python batch_times_matrix Examples

Example #1

 def test_batch_times_matrix(self):
   left = numpy.random.normal(size=[5, 3, 2]).astype(numpy.float32)
   left_transpose = numpy.transpose(left, [0, 2, 1])
   right = numpy.random.normal(size=[2, 3]).astype(numpy.float32)
   expected_result = numpy.dot(left, right)
   with self.cached_session():
     self.assertAllClose(expected_result,
                         math_utils.batch_times_matrix(
                             left, right).eval())
     self.assertAllClose(expected_result,
                         math_utils.batch_times_matrix(
                             left_transpose, right,
                             adj_x=True).eval())
     self.assertAllClose(expected_result,
                         math_utils.batch_times_matrix(
                             left, right.T,
                             adj_y=True).eval())
     self.assertAllClose(expected_result,
                         math_utils.batch_times_matrix(
                             left_transpose, right.T,
                             adj_x=True, adj_y=True).eval())

Example #2

 def _matrix_observation_noise_update():
     return (multiplied_state_var + math_ops.matmul(
         math_utils.batch_times_matrix(
             kalman_gain_transposed, observation_noise, adj_x=True),
         kalman_gain_transposed))

Example #3

File: kalman_filter.py Project: 1000sprites/tensorflow

 def _matrix_observation_noise_update():
   return (multiplied_state_var + math_ops.matmul(
       math_utils.batch_times_matrix(
           kalman_gain_transposed, observation_noise, adj_x=True),
       kalman_gain_transposed))