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- # Copyright (c) 2021 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 unittest
-
- import numpy as np
- from op_test_ipu import IPUOpTest
-
- import paddle
- import paddle.static
-
-
- class TestBase(IPUOpTest):
- def setUp(self):
- self.set_atol()
- self.set_training()
- self.set_data_feed()
- self.set_feed_attr()
- self.set_op_attrs()
-
- def set_data_feed(self):
- data = np.random.uniform(size=[1, 3, 10, 10])
- self.feed_fp32 = {'in_0': data.astype(np.float32)}
- self.feed_fp16 = {'in_0': data.astype(np.float16)}
-
- def set_feed_attr(self):
- self.feed_shape = [x.shape for x in self.feed_fp32.values()]
- self.feed_list = list(self.feed_fp32.keys())
- self.feed_dtype = [x.dtype for x in self.feed_fp32.values()]
-
- def set_op_attrs(self):
- self.attrs = {
- "kernel_size": 3,
- "stride": 1,
- "padding": 0,
- "ceil_mode": False,
- "exclusive": True,
- "data_format": 'NCHW',
- }
-
- @IPUOpTest.static_graph
- def build_model(self):
- x = paddle.static.data(
- name=self.feed_list[0], shape=self.feed_shape[0], dtype='float32'
- )
- out = paddle.nn.functional.avg_pool2d(x, **self.attrs)
- self.fetch_list = [out.name]
-
- def run_model(self, exec_mode):
- self.run_op_test(exec_mode)
-
- def test(self):
- for m in IPUOpTest.ExecutionMode:
- if not self.skip_mode(m):
- self.build_model()
- self.run_model(m)
- self.check()
-
-
- class TestCase1(TestBase):
- def set_attrs(self):
- super().set_attrs()
- self.attrs['kernel_size'] = 3
-
-
- class TestCase1_2(TestBase):
- def set_attrs(self):
- super().set_attrs()
- self.attrs['kernel_size'] = [3, 1]
-
-
- class TestCase2(TestBase):
- def set_attrs(self):
- super().set_attrs()
- self.attrs['stride'] = 2
-
-
- class TestCase2_2(TestBase):
- def set_attrs(self):
- super().set_attrs()
- self.attrs['stride'] = [2, 1]
-
-
- class TestCase3(TestBase):
- def set_attrs(self):
- super().set_attrs()
- self.attrs['padding'] = [1, 1]
-
-
- class TestCase3_2(TestBase):
- def set_attrs(self):
- super().set_attrs()
- self.attrs['padding'] = [1, 1, 2, 2]
-
-
- @unittest.skip('the results has a positional offset')
- class TestCase3_3(TestBase):
- def set_attrs(self):
- super().set_attrs()
- self.attrs['padding'] = [1, 2, 1, 1]
-
-
- @unittest.skip('paddle output has nan')
- class TestCase3_4(TestBase):
- def set_attrs(self):
- super().set_attrs()
- self.attrs['size'] = 1
- self.attrs['padding'] = 1
-
-
- class TestCase5(TestBase):
- def set_attrs(self):
- super().set_attrs()
- self.attrs['ceil_mode'] = True
-
-
- class TestCase6(TestBase):
- def set_attrs(self):
- super().set_attrs()
- self.attrs['exclusive'] = False
-
-
- if __name__ == "__main__":
- unittest.main()
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