Lines Matching refs:numpy
21 import numpy
102 evaled_state = numpy.array([[1., 1., 1., 1.]])
103 evaled_state_var = numpy.eye(4)[None]
152 self.assertAllClose(numpy.array([[1., 1.]]),
154 self.assertAllClose(numpy.array([[1., 1.]]),
156 self.assertAllClose(numpy.array([[[1.0001, 0.], [0., 3.0002]]]),
158 self.assertAllClose(numpy.array([[[1.01, 0.], [0., 3.02]]]),
195 expected_state=numpy.array([[0.5]]),
205 expected_state=numpy.array([[0.5]]),
215 expected_state=numpy.array([[2., 1.]]),
229 expected_state=numpy.array([[2., .1, .03]]),
230 expected_state_var=numpy.zeros([1, 3, 3]))
242 numpy.array([[2. * 3. + 4., # Slope * time + base
253 numpy.array([[[3.1, 2.0], [2.0, 2.2]]]),
289 self.assertGreater(first_log_prob.eval()[0], numpy.log(0.99))
376 self.assertGreater(first_log_prob.sum(), numpy.log(0.99))
377 self.assertGreater(second_log_prob.sum(), numpy.log(0.99))
378 numpy.log(0.01))
406 base_var = 2.0 * numpy.identity(2) + numpy.ones([2, 2])
408 numpy.array(
409 [base_var, 2.0 * base_var, 3.0 * base_var], dtype=numpy.float32))
