forked from mindspore-Ecosystem/mindspore
reduce recursion overhead of split model
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49d6c029a6
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71002ed19d
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@ -30,7 +30,7 @@ class GraphSplitByPattern:
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self.stitch_ops = set()
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self.stitch_atomic_ops = set()
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def __init__(self, init_op, is_output):
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def __init__(self, init_op, is_output, unique_id):
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self.pattern = PrimLib.iter_type(init_op)
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self.ops = [init_op]
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self.in_relations = dict() # {area1: relation1, area2: relation2, ...}
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@ -48,6 +48,8 @@ class GraphSplitByPattern:
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else:
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_gather_reduce_exclude(to)
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_gather_reduce_exclude(init_op)
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self.reach_map = dict()
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self.unique_id = unique_id
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def __str__(self):
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return '<' + '-'.join([op.output.name for op in self.ops]) + '>'
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@ -122,13 +124,20 @@ class GraphSplitByPattern:
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if area.output_excluded:
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self.output_excluded.update(area.output_excluded)
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self.update_stitch_info(area.stitch_info)
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for to, reach in area.reach_map.items():
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if reach and not self.reach_map.get(to, False):
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self.reach_map[to] = True
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def check_acyclic(self, to):
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"""Check circle. It returns false if circle exists"""
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def _reached(area, to):
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if to.unique_id in area.reach_map:
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return area.reach_map[to.unique_id]
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for out, _ in area.out_relations.items():
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if out == to or _reached(out, to):
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area.reach_map[to.unique_id] = True
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return True
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area.reach_map[to.unique_id] = False
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return False
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for out, _ in self.out_relations.items():
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if out != to and _reached(out, to):
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@ -151,9 +160,11 @@ class GraphSplitByPattern:
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self.flags = flags
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area_map = {}
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_, outputs = graph.deduce_parameters()
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idx = 0
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for op in graph.ops:
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is_output = op.output in outputs
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a = self.Area(op, is_output)
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a = self.Area(op, is_output, idx)
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idx += 1
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self.set_default_mode(a)
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self.areas.append(a)
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area_map[op] = a
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@ -249,7 +260,7 @@ class GraphSplitByPattern:
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break
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if out_reshape_ops:
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for op in out_reshape_ops:
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a = self.Area(op, False)
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a = self.Area(op, False, -1)
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self.set_default_mode(a)
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new_areas.append(a)
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area.ops = remain_ops
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@ -448,45 +448,26 @@ class Graph:
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class GraphVisitor:
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"""Graph visitor"""
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def __init__(self, forward=True, once_mode=True):
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def __init__(self, forward=True):
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self.forward = forward
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self.once_mode = once_mode
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if self.once_mode:
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self.visited = set()
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def visit_graph(self, graph):
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"""Visit graph"""
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inputs, outputs = graph.deduce_parameters()
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if self.forward:
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for tensor in inputs:
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for op in tensor.to_ops:
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self.visit(op)
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for op in graph.ops:
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self.visit(op)
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else:
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for tensor in outputs:
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if not tensor.to_ops:
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self.visit(tensor.op)
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def visit(self, op):
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"""Visit op"""
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next_ops = op.output.to_ops if self.forward else [
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t.op for t in op.inputs if t.op is not None]
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if self.once_mode:
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self.visited.add(op)
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for n in next_ops:
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if n not in self.visited:
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self.visit(n)
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else:
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for n in next_ops:
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self.visit(n)
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for i in range(len(graph.ops)-1, -1, -1):
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self.visit(graph.ops[i])
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class AlignShape(GraphVisitor):
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"""Align shape"""
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def __init__(self):
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super().__init__(once_mode=False)
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super().__init__()
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def visit(self, op):
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"""Visit op node"""
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prim = PrimLib.get_prim(op)
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if prim.iter_type in (PrimLib.ELEMWISE, PrimLib.BROADCAST, PrimLib.REDUCE):
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out_dim = len(op.output.shape)
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@ -496,8 +477,6 @@ class AlignShape(GraphVisitor):
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align_dim = len(t.shape)
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if align_dim > out_dim:
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op.output.shape = [1] * (align_dim - out_dim) + op.output.shape
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super().visit(op)
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class AddControlBuddy(GraphVisitor):
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"""Add control buddy"""
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@ -507,6 +486,7 @@ class AddControlBuddy(GraphVisitor):
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self.buddies = {} # {op : [ctrl_op]}
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def visit(self, op):
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"""Visit op node"""
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if op.prim == "MakeTuple":
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assert len(op.output.to_ops) == 1
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owner = op.output.to_ops[0]
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@ -517,9 +497,9 @@ class AddControlBuddy(GraphVisitor):
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if op in self.buddies:
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ops = self.buddies.pop(op)
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self.buddies[owner].extend(ops)
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super().visit(op)
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def visit_graph(self, graph):
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"""Visit graph nodes"""
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super().visit_graph(graph)
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for owner in self.buddies:
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for op in self.buddies[owner]:
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