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59 lines
2.1 KiB
59 lines
2.1 KiB
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from ....compiler import CompiledProgram
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from ....data_feeder import DataFeeder
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from .... import executor
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from .graph_wrapper import GraphWrapper
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__all__ = ['SlimGraphExecutor']
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class SlimGraphExecutor(object):
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"""
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Wrapper of executor used to run GraphWrapper.
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"""
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def __init__(self, place):
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self.exe = executor.Executor(place)
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self.place = place
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def run(self, graph, scope, data=None):
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"""
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Runing a graph with a batch of data.
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Args:
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graph(GraphWrapper): The graph to be executed.
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scope(fluid.core.Scope): The scope to be used.
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data(list<tuple>): A batch of data. Each tuple in this list is a sample.
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It will feed the items of tuple to the in_nodes of graph.
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Returns:
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results(list): A list of result with the same order indicated by graph.out_nodes.
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"""
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assert isinstance(graph, GraphWrapper)
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feed = None
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if data is not None:
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feeder = DataFeeder(
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feed_list=list(graph.in_nodes.values()),
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place=self.place,
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program=graph.program)
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feed = feeder.feed(data)
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fetch_list = list(graph.out_nodes.values())
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program = graph.compiled_graph if graph.compiled_graph else graph.program
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results = self.exe.run(program,
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scope=scope,
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fetch_list=fetch_list,
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feed=feed)
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return results
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