提交 86170c37 编写于 作者: J jiangjiajun

structure modify

上级 32bcda21
......@@ -48,7 +48,7 @@ def arg_parser():
def tf2paddle(model_path, save_dir):
from x2paddle.decoder.tf_decoder import TFDecoder
from x2paddle.optimizer.tf_optimizer import TFGraphOptimizer
from x2paddle.op_mapper.tf_op_mapper import TFOpMapper
print("Now translating model from tensorflow to paddle.")
model = TFDecoder(model_path)
......
# 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.
from x2paddle.core.util import *
import os
class OpMapper(object):
def __init__(self):
self.paddle_codes = ""
self.tab = " "
self.net_code = list()
self.weights = dict()
def add_codes(self, codes, indent=0):
if isinstance(codes, list):
for code in codes:
self.paddle_codes += (self.tab * indent + code + '\n')
elif isinstance(codes, str):
self.paddle_codes += (self.tab * indent + codes + '\n')
else:
raise Exception("Unknown type of codes")
def add_heads(self):
self.add_codes("from paddle.fluid.initializer import Constant")
self.add_codes("from paddle.fluid.param_attr import ParamAttr")
self.add_codes("import paddle.fluid as fluid")
self.add_codes("")
def save_inference_model(self):
print("Not Implement")
def save_python_model(self, save_dir):
for name, param in self.weights.items():
export_paddle_param(param, name, save_dir)
self.add_heads()
self.add_codes(self.net_code)
fp = open(os.path.join(save_dir, "model.py"), 'w')
fp.write(self.paddle_codes)
fp.close()
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