class_docstr: Test the `pixel_control_loss` op.
code: def testTensorDiscountShape(self):
      with self.assertRaisesRegex(
          ValueError,
          "discount_factor must be a scalar or a tensor of rank 1",
      ):
          discount = np.tile(
              np.reshape(self.discount, (1, 1)), (self.seq_length, 1)
          )
          loss_fn = self.variant(
              functools.partial(
                  losses.pixel_control_loss, cell_size=self.cell_size
              )
          )
          loss_fn(
              self.observations,
              self.actions,
              self.action_values,
              discount,
          )
  
imports: import functools
  from absl.testing import absltest
  from absl.testing import parameterized
  import chex
  import jax
  import jax.numpy
  import numpy
  from rlax._src import losses
label_desc: Use image node_id 5 for calling the PixelControlLossTest obj's underlying member method code with example usage: obj.testTensorDiscountShape() without return types