mirror of https://github.com/hpcaitech/ColossalAI
code style
parent
b7b67c32ad
commit
5cdfcfe1d1
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@ -92,24 +92,10 @@ class FlowTracer(object):
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self._add_trace(i.name)
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self._add_node(i.name, i)
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def _is_non_compute_node(self, node):
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if any(i in node.op for i in ["placeholder", "get_attr", "output"]) or any(
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i in node.name for i in ["getitem", "getattr"]
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):
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return True
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return False
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def _is_non_compute_node_except_placeholder(self, node):
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if any(i in node.op for i in ["get_attr", "output"]) or any(
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i in node.name for i in ["getitem", "getattr"]
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):
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return True
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return False
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def _find_flow_for_node(self, node):
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if type(self.node_list[0]) != type(node):
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return None
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if self._is_non_compute_node_except_placeholder(node):
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if _is_non_compute_node_except_placeholder(node):
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return None
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for name, trace in self.flow_trace.items():
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for i in trace:
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@ -135,7 +121,7 @@ class FlowTracer(object):
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raise RuntimeError("invalid node")
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def _get_flow_mix_node(self, node):
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if self._is_non_compute_node(node):
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if _is_non_compute_node(node):
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return None
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_, node_trace = self.find_node_flow(node)
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if len(node_trace["outside_depend"]) == 0:
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@ -160,10 +146,9 @@ class FlowTracer(object):
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for node in self.node_list:
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# skip if non compute node
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if all(
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type(arg) != type(node)
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or self._is_non_compute_node_except_placeholder(arg)
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type(arg) != type(node) or _is_non_compute_node_except_placeholder(arg)
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for arg in node.args
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) or self._is_non_compute_node(node):
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) or _is_non_compute_node(node):
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continue
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node_input_flows = [self._find_flow_for_node(arg) for arg in node.args]
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@ -1411,32 +1396,6 @@ def _gen_loop_end(
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return context
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def _find_input_and_output_nodes(nodes: List[Node]):
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"""
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Find the input and output node names which are not found in the given list of nodes.
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"""
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input_nodes = []
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output_nodes = []
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# if a node has an input node which is not in the node list
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# we treat that input node as the input of the checkpoint function
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for node in nodes:
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for input_node in node._input_nodes.keys():
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node_repr = repr(input_node)
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if input_node not in nodes and input_node not in input_nodes:
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input_nodes.append(input_node)
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# if a node has a user node which is not in the node list
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# we treat that user node as the node receiving the current node output
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for node in nodes:
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for output_node in node.users.keys():
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node_repr = repr(node)
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if output_node not in nodes and output_node not in output_nodes:
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output_nodes.append(output_node)
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return input_nodes, output_nodes
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def _find_chunk_all_input_nodes(nodes: List[Node]):
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"""
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Find non-compute input and output node names.
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