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57 lines
1.8 KiB
Python
57 lines
1.8 KiB
Python
# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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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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import os
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import numpy as np
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import paddle
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from .utils.io import Checkpoint
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from . import backbones
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def export(args):
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checkpoint = Checkpoint(
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rank=0,
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world_size=1,
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embedding_size=args.embedding_size,
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num_classes=None,
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checkpoint_dir=args.checkpoint_dir, )
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backbone = eval("backbones.{}".format(args.backbone))(
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num_features=args.embedding_size)
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checkpoint.load(backbone, for_train=False, dtype='float32')
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print("Load checkpoint from '{}'.".format(args.checkpoint_dir))
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backbone.eval()
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path = os.path.join(args.output_dir, args.backbone)
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if args.export_type == 'onnx':
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paddle.onnx.export(
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backbone,
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path,
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input_spec=[
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paddle.static.InputSpec(
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shape=[None, 3, 112, 112], dtype='float32')
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])
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else:
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paddle.jit.save(
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backbone,
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path,
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input_spec=[
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paddle.static.InputSpec(
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shape=[None, 3, 112, 112], dtype='float32')
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])
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print("Save exported model to '{}'.".format(args.output_dir))
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