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.
  
  from __future__ import print_function
  
  import numpy as np
  import unittest
  import sys
  sys.path.append("..")
  from op_test import OpTest
  import paddle
  import paddle.fluid as fluid
  
  paddle.enable_static()
  SEED = 2021
  
  
  @unittest.skipIf(not paddle.is_compiled_with_npu(),
                   "core is not compiled with NPU")
  class TestLookupTableV2(OpTest):
      def setUp(self):
          self.set_npu()
          self.op_type = "lookup_table_v2"
          self.place = paddle.NPUPlace(0)
  
          self.init_dtype()
          np.random.seed(SEED)
          bsz = 6
          seqlen = 8
          vocab = 10
          dim = 20
          w = np.ones([vocab, dim]).astype(self.dtype)
          x = np.random.randint(0, vocab, size=(bsz, seqlen)).astype(np.int64)
          out = np.ones([bsz, seqlen, dim]).astype(self.dtype)
  
          self.inputs = {
              'W': OpTest.np_dtype_to_fluid_dtype(w),
              'Ids': OpTest.np_dtype_to_fluid_dtype(x)
          }
          self.attrs = {
              'is_sparse': False,
              'is_distributed': False,
              'remote_prefetch': False,
              'padding_idx': -1
          }
          self.outputs = {'Out': out}
  
      def set_npu(self):
          self.__class__.use_npu = True
  
      def init_dtype(self):
          self.dtype = np.float32
  
      def test_check_output(self):
          self.check_output_with_place(self.place, check_dygraph=False)
  
      def test_check_grad(self):
          if self.dtype == np.float16:
              return
          self.check_grad_with_place(
              self.place, ['W'], 'Out', check_dygraph=False)
  
  
  @unittest.skipIf(not paddle.is_compiled_with_npu(),
                   "core is not compiled with NPU")
  class TestLookupTableV2FP16(TestLookupTableV2):
      no_need_check_grad = True
  
      def init_dtype(self):
          self.dtype = np.float16
  
      def set_npu(self):
          self.__class__.use_npu = True
          self.__class__.no_need_check_grad = True
  
  
  if __name__ == '__main__':
      unittest.main()
  