wehub-resource-sync
93 lines
3.1 KiB
Python
93 lines
3.1 KiB
Python
# Copyright (c) 2022 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 tempfile
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import unittest
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import paddle
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from paddle.inference import (
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PlaceType,
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PrecisionType,
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convert_to_mixed_precision,
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)
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from paddle.jit import to_static
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from paddle.static import InputSpec
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from paddle.vision.models import resnet50
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@unittest.skipIf(
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not paddle.is_compiled_with_cuda() or paddle.get_cudnn_version() < 8000,
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'should compile with cuda.',
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)
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class TestConvertToMixedPrecision(unittest.TestCase):
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def setUp(self):
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self.temp_dir = tempfile.TemporaryDirectory()
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model = resnet50(True)
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net = to_static(
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model,
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input_spec=[InputSpec(shape=[None, 3, 224, 224], name='x')],
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full_graph=True,
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)
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with paddle.pir_utils.OldIrGuard():
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paddle.jit.save(
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net, os.path.join(self.temp_dir.name, 'resnet50/inference')
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)
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def tearDown(self):
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self.temp_dir.cleanup()
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def test_convert_to_mixed_precision(self):
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mixed_precision_options = [
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PrecisionType.Half,
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PrecisionType.Half,
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PrecisionType.Half,
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PrecisionType.Bfloat16,
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]
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keep_io_types_options = [True, False, False, True]
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black_list_options = [set(), set(), {'conv2d'}, set()]
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test_configs = zip(
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mixed_precision_options, keep_io_types_options, black_list_options
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)
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for mixed_precision, keep_io_types, black_list in test_configs:
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config = f'mixed_precision={mixed_precision}-keep_io_types={keep_io_types}-black_list={black_list}'
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with self.subTest(
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mixed_precision=mixed_precision,
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keep_io_types=keep_io_types,
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black_list=black_list,
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):
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convert_to_mixed_precision(
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os.path.join(
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self.temp_dir.name, 'resnet50/inference.pdmodel'
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),
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os.path.join(
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self.temp_dir.name, 'resnet50/inference.pdiparams'
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),
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os.path.join(
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self.temp_dir.name, f'{config}/inference.pdmodel'
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),
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os.path.join(
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self.temp_dir.name, f'{config}/inference.pdiparams'
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),
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backend=PlaceType.GPU,
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mixed_precision=mixed_precision,
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keep_io_types=keep_io_types,
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black_list=black_list,
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)
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if __name__ == '__main__':
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unittest.main()
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