code: def shape_parameter_as_tuple(fgraph, node):
      """Replace `MakeVector` and `DimShuffle` (when used to transform a scalar
      into a 1d vector) when they are found as the input of a `shape`
      parameter by `JAXShapeTuple` during transpilation.
  
      The JAX implementations of `MakeVector` and `DimShuffle` always return JAX
      `TracedArrays`, but JAX only accepts concrete values as inputs for the `size`
      or `shape` parameter. When these `Op`s are used to convert scalar or tuple
      inputs, however, we can avoid tracing by making them return a tuple of their
      inputs instead.
  
      Note that JAX does not accept scalar inputs for the `size` or `shape`
      parameters, and this rewrite also ensures that scalar inputs are turned into
      tuples during transpilation.
  
      """
      from pytensor.link.jax.dispatch.shape import JAXShapeTuple
  
      shape_arg = node.inputs[1]
      shape_node = shape_arg.owner
  
      if shape_node is None:
          return
  
      if isinstance(shape_node.op, JAXShapeTuple):
          return
  
      if isinstance(shape_node.op, MakeVector) or (
          isinstance(shape_node.op, DimShuffle)
          and shape_node.op.input_broadcastable == ()
          and shape_node.op.new_order == ("x",)
      ):
          # Here PyTensor converted a tuple or list to a tensor
          new_shape_args = JAXShapeTuple()(*shape_node.inputs)
          new_inputs = list(node.inputs)
          new_inputs[1] = new_shape_args
  
          new_node = node.clone_with_new_inputs(new_inputs)
          return new_node.outputs
  
file_path: pytensor/pytensor/tensor/rewriting/jax.py
imports: import pytensor.tensor
  from pytensor.compile import optdb
  from pytensor.graph.rewriting.basic import in2out, node_rewriter
  from pytensor.tensor.basic import MakeVector
  from pytensor.tensor.elemwise import DimShuffle
  from pytensor.tensor.math import Sum
  from pytensor.tensor.shape import Reshape
  from pytensor.tensor.subtensor import AdvancedIncSubtensor, AdvancedSubtensor
  from pytensor.tensor.variable import TensorVariable
label_desc: Use image node_id 3 for calling a global function with example usage: shape_parameter_as_tuple(fgraph, node) and returns: new_node