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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def call(self, context, x, losses=None):
 """Call the layer."""

    has_length_dim = context.length_dim in x.shape.dims
    if not has_length_dim:
      x_shape = x.shape
      shape_with_length = mtf.Shape(
          x_shape.dims[:-1] + [mtf.Dimension("length", 1)]
          + x_shape.dims[-1:])
      x = mtf.reshape(x, shape_with_length)
    y, loss = transformer_moe_layer_v2(
        x,
        context.model_dim,
        self._hparams,
        context.train,
        context.variable_dtype,
        layout=context.layout,
        mesh_shape=context.mesh_shape,
        nonpadding=context.nonpadding)
    if context.losses is not None:
      context.losses.append(loss)
    if not has_length_dim:
      y = mtf.reshape(y, x_shape)
    return y