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116 lines
4.2 KiB
116 lines
4.2 KiB
from collections import defaultdict
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import framework
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from framework import Program, default_main_program, Parameter, Variable
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import backward
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from backward import _rename_arg_
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class ControlFlowGraph(object):
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def __init__(self, Program):
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self._program = Program
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self._succesors = defaultdict(set)
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self._presucessors = defaultdict(set)
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self._uses = defaultdict(set)
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self._defs = defaultdict(set)
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self._live_in = defaultdict(set)
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self._live_out = defaultdict(set)
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def _add_connections(self, connections):
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for node1, node2 in connections:
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self._add(node1, node2)
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def _add(self, node1, node2):
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self._succesors[node1].add(node2)
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self._presucessors[node2].add(node1)
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def _build_graph(self):
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program_desc = self._program.get_desc()
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block_size = program_desc.num_blocks()
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# TODO(qijun) handle Program with if/while operators
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self.global_block = program_desc.block(0)
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self.op_size = self.global_block.op_size()
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op_node_connections = [(i, i + 1) for i in range(self.op_size - 1)]
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self._add_connections(op_node_connections)
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self.ops = [self.global_block.op(i) for i in range(self.op_size)]
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for i in range(self.op_size):
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self._uses[i].update(self.ops[i].input_arg_names())
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self._defs[i].update(self.ops[i].output_arg_names())
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def _reach_fixed_point(self, live_in, live_out):
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if len(live_in) != len(self._live_in):
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return False
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if len(live_out) != len(self._live_out):
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return False
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for i in range(self.op_size):
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if live_in[i] != self._live_in[i]:
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return False
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for i in range(self.op_size):
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if live_out[i] != self._live_out[i]:
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return False
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return True
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def _dataflow_analyze(self):
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self._build_graph()
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live_in = defaultdict(set)
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live_out = defaultdict(set)
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while True:
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for i in range(self.op_size):
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live_in[i] = set(self._live_in[i])
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live_out[i] = set(self._live_out[i])
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self._live_in[i] = self._uses[i] | (
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self._live_out[i] - self._defs[i])
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for s in self._succesors[i]:
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self._live_out[i] |= self._live_in[s]
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if self._reach_fixed_point(live_in, live_out):
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break
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def _get_diff(self, a, b):
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u = a & b
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return a - u, b - u
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def memory_optimize(self):
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self._build_graph()
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self._dataflow_analyze()
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self.pool = []
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for i in range(self.op_size):
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if self.pool:
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out_pair = [(x, self.global_block.var(str(x)).shape())
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for x in self._defs[i]]
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for x, x_shape in out_pair:
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for index, cache_pair in enumerate(self.pool):
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cache_var = cache_pair[0]
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cache_shape = cache_pair[1]
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if x_shape == cache_shape:
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print(
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"Hit Cache !!!! cache pool index is %d, var name is %s, cached var name is %s, var shape is %s "
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% (index, x, cache_var, str(cache_shape)))
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self.pool.pop(index)
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_rename_arg_(self.ops, x, cache_var, begin_idx=i)
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self._dataflow_analyze()
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break
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in_diff, out_diff = self._get_diff(self._live_in[i],
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self._live_out[i])
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can_optimize = filter(
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lambda x: not self.global_block.var(str(x)).persistable(),
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in_diff)
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if can_optimize:
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for var_name in can_optimize:
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self.pool.append((
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var_name, self.global_block.var(str(var_name)).shape()))
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def get_program(self):
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return self._program
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def memory_optimize(input_program):
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graph = ControlFlowGraph(input_program)
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graph.memory_optimize()
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result_program = graph.get_program()
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return result_program
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