from editor_code.copy_editor.edit_training_run import EditTrainingRuns
print os.environ['COPY_EDIT_DATA']

#no-profile
profile = False

runs = EditTrainingRuns()
config = Config.from_file('editor_code/configs/editor/github_s2s.txt')
run = runs.new(config)

if profile:
    from gtd.chrono import Profiling, Profiler

    profiler = Profiler.default()

    import editor_code.copy_editor.retriever
    import editor_code.copy_editor.editor
    profiler.add_module(editor_code.copy_editor.editor)
    profiler.add_module(editor_code.copy_editor.retriever)
    Profiling.start()
    run.train()
    Profiler.report(profiler)  # prints out report

else:
    run.train()

#runs = EditTrainingRuns()
#config = Config.from_file('editor_code/configs/editor/default.txt')
#run = runs.new(config)
#run.train()
Exemple #2
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run.metadata['host'] = socket.gethostname()

# start training
run.workspace.add_file('stdout', 'stdout.txt')
run.workspace.add_file('stderr', 'stderr.txt')
run.workspace.add_file('command', 'command.txt')
with open(run.workspace.command, 'a') as fout:
    fout.write(str(sys.argv))
if args.comment:
    run.workspace.add_file('comment', 'comment.txt')
    with open(run.workspace.comment, 'a') as fout:
        fout.write(str(args.comment))

if args.profile:
    from gtd.chrono import Profiling, Profiler
    profiler = Profiler.default()
    # To profile a class, do something like
    # import phrasenode.foo
    # profiler.add_module(phrasenode.foo)
    Profiling.start()

with save_stdout(run.workspace.root):
    try:
        run.load_latest_model()
        run.train()
    finally:
        run.close()
        if args.profile:
            Profiling.report()