def testBijectorLogDetJacobianEventDimsOne(self):
with self.test_session():
bijector = Softplus(event_ndims=1)
y = 2 * rng.rand(2, 10)
ildj_before = self._softplus_ildj_before_reduction(y)
ildj = np.sum(ildj_before, axis=1)
self.assertAllClose(ildj, bijector.inverse_log_det_jacobian(y).eval())
def testBijectorLogDetJacobianEventDimsZero(self):
with self.test_session():
bijector = Softplus(event_ndims=0)
y = 2 * rng.rand(2, 10)
# No reduction needed if event_dims = 0.
ildj = self._softplus_ildj_before_reduction(y)
self.assertAllClose(ildj, bijector.inverse_log_det_jacobian(y).eval())
def testBijectorLogDetJacobianEventDimsOne(self):
with self.test_session():
bijector = Softplus(event_ndims=1)
y = 2 * rng.rand(2, 10)
ildj_before = self._softplus_ildj_before_reduction(y)
ildj = np.sum(ildj_before, axis=1)
self.assertAllClose(ildj,
bijector.inverse_log_det_jacobian(y).eval())
def testBijectorLogDetJacobianEventDimsZero(self):
with self.test_session():
bijector = Softplus(event_ndims=0)
y = 2 * rng.rand(2, 10)
# No reduction needed if event_dims = 0.
ildj = self._softplus_ildj_before_reduction(y)
self.assertAllClose(ildj,
bijector.inverse_log_det_jacobian(y).eval())