cfg_optimization.py 7.5 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185
  1. """Optimizes and analyzes CFG-IR."""
  2. from collections import defaultdict
  3. import modelverse_jit.cfg_ir as cfg_ir
  4. import modelverse_jit.cfg_dominators as cfg_dominators
  5. def get_directly_reachable_blocks(block):
  6. """Gets the set of all blocks that can be reached by taking a single branch from the
  7. given block."""
  8. return [branch.block for branch in block.flow.branches()]
  9. def get_reachable_blocks(entry_point):
  10. """Constructs the set of all reachable vertices from the given block."""
  11. # This is a simple O(n^2) algorithm. Maybe a faster algorithm is more appropriate here.
  12. def __add_block_children(block, results):
  13. for child in get_directly_reachable_blocks(block):
  14. if child not in results:
  15. results.add(child)
  16. __add_block_children(child, results)
  17. return results
  18. return __add_block_children(entry_point, set())
  19. def get_all_reachable_blocks(entry_point):
  20. """Constructs the set of all reachable vertices, for every block that is
  21. reachable from the given entry point."""
  22. # This is a simple O(n^3) algorithm. Maybe a faster algorithm is more appropriate here.
  23. results = {}
  24. all_blocks = get_reachable_blocks(entry_point)
  25. results[entry_point] = all_blocks
  26. for block in all_blocks:
  27. if block not in results:
  28. results[block] = get_reachable_blocks(block)
  29. return results
  30. def is_empty_block(block):
  31. """Tests if the given block contains no parameters or definitions."""
  32. return len(block.parameters) == 0 and len(block.definitions) == 0
  33. def optimize_flow(block):
  34. """Optimizes the given block's flow instruction."""
  35. changed = True
  36. while changed:
  37. changed = False
  38. # Select flow with a literal condition can be optimized to a direct jump.
  39. if (isinstance(block.flow, cfg_ir.SelectFlow)
  40. and cfg_ir.is_literal_def(block.flow.condition)):
  41. literal = cfg_ir.get_literal_def_value(block.flow.condition)
  42. block.flow = cfg_ir.JumpFlow(
  43. block.flow.if_branch if literal else block.flow.else_branch)
  44. changed = True
  45. # Jumps to blocks which contain no parameters or definitions can be replaced
  46. # by the target block's flow.
  47. if (isinstance(block.flow, cfg_ir.JumpFlow)
  48. and is_empty_block(block.flow.branch.block)
  49. and block.flow.branch.block is not block):
  50. block.flow = block.flow.branch.block.flow
  51. changed = True
  52. # Branches to blocks which contain nothing but a jump can be replaced by branches
  53. # to the jump's target.
  54. for branch in block.flow.branches():
  55. if (is_empty_block(branch.block)
  56. and branch.block is not block
  57. and isinstance(branch.block.flow, cfg_ir.JumpFlow)):
  58. new_branch = branch.block.flow.branch
  59. branch.block = new_branch.block
  60. branch.arguments = new_branch.arguments
  61. changed = True
  62. def get_all_blocks(entry_point):
  63. """Gets all basic blocks in the control-flow graph defined by the given entry point."""
  64. yield entry_point
  65. for block in get_reachable_blocks(entry_point):
  66. yield block
  67. def optimize_graph_flow(entry_point):
  68. """Optimizes all flow instructions in the graph defined by the given entry point."""
  69. for block in get_all_blocks(entry_point):
  70. optimize_flow(block)
  71. def merge_blocks(entry_point):
  72. """Merges blocks which have exactly one predecessor with said predecessor, if the
  73. predecessor has a jump flow instruction."""
  74. predecessor_map = cfg_dominators.get_all_predecessor_blocks(entry_point)
  75. queue = list(predecessor_map.keys())
  76. def __do_merge(source, target):
  77. for target_param, branch_arg in zip(target.parameters, source.flow.branch.arguments):
  78. source.append_definition(target_param)
  79. target_param.redefine(branch_arg)
  80. for target_def in target.definitions:
  81. source.append_definition(target_def)
  82. source.flow = target.flow
  83. for pred_set in predecessor_map.values():
  84. if target in pred_set:
  85. pred_set.remove(target)
  86. pred_set.add(source)
  87. while len(queue) > 0:
  88. block = queue.pop()
  89. preds = predecessor_map[block]
  90. if len(preds) == 1:
  91. single_pred = next(iter(preds))
  92. if isinstance(single_pred.flow, cfg_ir.JumpFlow):
  93. __do_merge(single_pred, block)
  94. def elide_local_checks(entry_point):
  95. """Tries to elide redundant checks on local variables."""
  96. # The plan here is to replace all check-local-exists defs by literals if
  97. # they are either dominated by an appropriate declare-local or not reachable
  98. # from a declare-local.
  99. local_checks = defaultdict(set)
  100. local_defs = defaultdict(set)
  101. for block in get_all_blocks(entry_point):
  102. for definition in block.definitions:
  103. if cfg_ir.is_value_def(definition, cfg_ir.CheckLocalExists):
  104. local_checks[cfg_ir.get_def_variable(definition).node_id].add(definition)
  105. elif cfg_ir.is_value_def(definition, cfg_ir.DeclareLocal):
  106. local_defs[cfg_ir.get_def_variable(definition).node_id].add(definition)
  107. dominator_tree = cfg_dominators.get_dominator_tree(entry_point)
  108. reachable_blocks = get_all_reachable_blocks(entry_point)
  109. for (variable, all_checks) in local_checks.items():
  110. for check in all_checks:
  111. is_reachable = False
  112. for local_def in local_defs[variable]:
  113. if dominator_tree.dominates_instruction(local_def, check):
  114. # Check is dominated by a definition. Replace it by a 'True' literal.
  115. check.redefine(cfg_ir.Literal(True))
  116. break
  117. elif check.block in reachable_blocks[local_def.block]:
  118. is_reachable = True
  119. if not is_reachable:
  120. # Check cannot be reached from any definition. Replace it by a 'False' literal.
  121. check.redefine(cfg_ir.Literal(False))
  122. def eliminate_unused_definitions(entry_point):
  123. """Tries to eliminate unused definitions in the control-flow graphb defined by the
  124. given entry point."""
  125. def_dependencies = {}
  126. root_defs = set()
  127. for block in get_all_blocks(entry_point):
  128. for definition in block.definitions:
  129. def_dependencies[definition] = set(
  130. [dep for dep in definition.get_all_dependencies()
  131. if isinstance(dep, cfg_ir.Definition)])
  132. if definition.has_side_effects():
  133. root_defs.add(definition)
  134. for dep in block.flow.get_all_dependencies():
  135. if isinstance(dep, cfg_ir.Definition):
  136. root_defs.add(dep)
  137. live_defs = set()
  138. def __mark_live(definition):
  139. if definition in live_defs:
  140. return
  141. live_defs.add(definition)
  142. if definition in def_dependencies:
  143. for dep in def_dependencies[definition]:
  144. __mark_live(dep)
  145. for root in root_defs:
  146. __mark_live(root)
  147. dead_defs = set.difference(set(def_dependencies.keys()), live_defs)
  148. for dead_def in dead_defs:
  149. dead_def.block.remove_definition(dead_def)
  150. def optimize(entry_point):
  151. """Optimizes the control-flow graph defined by the given entry point."""
  152. optimize_graph_flow(entry_point)
  153. elide_local_checks(entry_point)
  154. optimize_graph_flow(entry_point)
  155. eliminate_unused_definitions(entry_point)
  156. optimize_graph_flow(entry_point)
  157. merge_blocks(entry_point)