class_docstr: A ``Linker`` that JIT compiles a ``FunctionGraph`` into a single runnable thunk.
  
  The entirety of ``Linker.fgraph`` is converted into a single JIT compiled
  thunk that is run by an PyTensor ``VM``.
class_docstr_tok: ["A","``","Linker","``","that","JIT","compiles","a","``","FunctionGraph","``","into","a","single","runnable","thunk",".","The","entirety","of","``","Linker.fgraph","``","is","converted","into","a","single","JIT","compiled","thunk","that","is","run","by","an","PyTensor","``","VM","``","."]
code: def make_all(
      self, input_storage=None, output_storage=None, storage_map=None
  ):
      fgraph = self.fgraph
      nodes = self.schedule(fgraph)
      no_recycling = self.no_recycling
  
      input_storage, output_storage, storage_map = map_storage(
          fgraph, nodes, input_storage, output_storage, storage_map
      )
  
      compute_map = {}
      for k in storage_map:
          compute_map[k] = [k.owner is None]
  
      thunks, nodes, jit_fn = self.create_jitable_thunk(
          compute_map, nodes, input_storage, output_storage, storage_map
      )
  
      computed, last_user = gc_helper(nodes)
  
      if self.allow_gc:
          post_thunk_old_storage = []
  
          for node in nodes:
              post_thunk_old_storage.append(
                  [
                      storage_map[input]
                      for input in node.inputs
                      if (input in computed)
                      and (input not in fgraph.outputs)
                      and (node == last_user[input])
                  ]
              )
      else:
          post_thunk_old_storage = None
  
      if no_recycling is True:
          no_recycling = list(storage_map.values())
          no_recycling = difference(no_recycling, input_storage)
      else:
          no_recycling = [
              storage_map[r]
              for r in no_recycling
              if r not in fgraph.inputs
          ]
  
      fn = streamline(
          fgraph,
          thunks,
          nodes,
          post_thunk_old_storage,
          no_recycling=no_recycling,
      )
  
      fn.jit_fn = jit_fn
      fn.allow_gc = self.allow_gc
      fn.storage_map = storage_map
  
      return (
          fn,
          [
              Container(input, storage)
              for input, storage in zip(fgraph.inputs, input_storage)
          ],
          [
              Container(output, storage, readonly=True)
              for output, storage in zip(fgraph.outputs, output_storage)
          ],
          thunks,
          nodes,
      )
  
imports: from abc import ABC, abstractmethod
  from collections.abc import Sequence
  from copy import copy, deepcopy
  from typing import TYPE_CHECKING, Any, Callable, Optional, Union
  from pytensor.configdefaults import config
  from pytensor.graph.basic import Apply, Variable
  from pytensor.graph.fg import FunctionGraph
  from pytensor.graph.type import Type
  from pytensor.link.utils import gc_helper, map_storage, raise_with_op, streamline
  from pytensor.utils import difference
label_desc: Use image node_id 6 for calling the JITLinker obj's underlying member method code with example usage: obj.make_all(input_storage, output_storage, storage_map) and returns: fn,  unknown,  unknown,  thunks,  nodes