#   Copyright (c) 2019  PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import torch


class PyTorchDecoder(object):
    def __init__(self, script_path):
        self.script = torch.jit.load(script_path)
        self.graph = self._optimize_graph(self.script.inlined_graph)

    def _optimize_graph(self, graph):
        torch._C._jit_pass_constant_propagation(graph)
        torch._C._jit_pass_dce(graph)
        torch._C._jit_pass_lint(graph)
        torch._C._jit_pass_peephole(graph)
        torch._C._jit_pass_lint(graph)
        torch._C._jit_pass_dce(graph)
        torch._C._jit_pass_lint(graph)
        torch._C._jit_pass_canonicalize(graph)
        torch._C._jit_pass_lint(graph)
        torch._C._jit_pass_constant_propagation(graph)
        return graph