text: #  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
  import paddle
  import paddle.static
  from paddle.fluid.tests.unittests.ipu.op_test_ipu import IPUOpTest
  
  
  @unittest.skipIf(not paddle.is_compiled_with_ipu(),
                   "core is not compiled with IPU")
  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, 2, 3])
          self.feed_fp32 = {"x": data.astype(np.float32)}
          self.feed_fp16 = {"x": 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 = {"axes": 0}
  
      @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.fluid.layers.unsqueeze(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(check_shape=True)
  
  
  class TestCase1(TestBase):
  
      def set_op_attrs(self):
          self.attrs = {"axes": -1}
  
  
  class TestCase2(TestBase):
  
      def set_op_attrs(self):
          self.attrs = {"axes": [1, 2]}
  
  
  if __name__ == "__main__":
      unittest.main()
  