text: #  Copyright (c) 2022 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
  
  paddle.enable_static()
  SEED = 2022
  
  
  class TestCheckFiniteAndUnscaleOp(OpTest):
      def setUp(self):
          self.set_mlu()
          self.op_type = "check_finite_and_unscale"
          self.init_dtype()
          self.init_test_case()
  
      def init_test_case(self):
          x = np.random.random((129, 129)).astype(self.dtype)
          scale = np.random.random((1)).astype(self.dtype)
  
          self.inputs = {'X': [('x0', x)], 'Scale': scale}
          self.outputs = {
              'FoundInfinite': np.array([0]),
              'Out': [('out0', x / scale)],
          }
  
      def set_mlu(self):
          self.__class__.use_mlu = True
          self.place = paddle.device.MLUPlace(0)
  
      def init_dtype(self):
          self.dtype = np.float32
  
      def test_check_output(self):
          self.check_output_with_place(self.place)
  
  
  class TestCheckFiniteAndUnscaleOpWithNan(TestCheckFiniteAndUnscaleOp):
      def init_test_case(self):
          x = np.random.random((129, 129)).astype(self.dtype)
          x[128][128] = np.nan
          scale = np.random.random((1)).astype(self.dtype)
  
          self.inputs = {'X': [('x0', x)], 'Scale': scale}
          self.outputs = {
              'FoundInfinite': np.array([1]),
              'Out': [('out0', x)],
          }
  
      def test_check_output(self):
          # When input contains nan, do not check the output, 
          # since the output may be nondeterministic and will be discarded.
          self.check_output_with_place(self.place, no_check_set=['Out'])
  
  
  class TestCheckFiniteAndUnscaleOpWithInf(TestCheckFiniteAndUnscaleOp):
      def init_test_case(self):
          x = np.random.random((129, 129)).astype(self.dtype)
          x[128][128] = np.inf
          scale = np.random.random((1)).astype(self.dtype)
  
          self.inputs = {'X': [('x0', x)], 'Scale': scale}
          self.outputs = {
              'FoundInfinite': np.array([1]),
              'Out': [('out0', x)],
          }
  
      def test_check_output(self):
          # When input contains inf, do not check the output, 
          # since the output may be nondeterministic and will be discarded.
          self.check_output_with_place(self.place, no_check_set=['Out'])
  
  
  class TestCheckFiniteAndUnscaleOpMultiInput(TestCheckFiniteAndUnscaleOp):
      def init_test_case(self):
          x0 = np.random.random((129, 129)).astype(self.dtype)
          x1 = np.random.random((129, 129)).astype(self.dtype)
          scale = np.random.random((1)).astype(self.dtype)
  
          self.inputs = {'X': [('x0', x0), ('x1', x1)], 'Scale': scale}
          self.outputs = {
              'FoundInfinite': np.array([0]),
              'Out': [('out0', x0 / scale), ('out1', x1 / scale)],
          }
  
  
  class TestCheckFiniteAndUnscaleOpMultiInputWithNan(TestCheckFiniteAndUnscaleOp):
      def init_test_case(self):
          x0 = np.random.random((129, 129)).astype(self.dtype)
          x0[128][128] = np.nan
          x1 = np.random.random((129, 129)).astype(self.dtype)
          scale = np.random.random((1)).astype(self.dtype)
  
          self.inputs = {'X': [('x0', x0), ('x1', x1)], 'Scale': scale}
          self.outputs = {
              'FoundInfinite': np.array([1]),
              'Out': [('out0', x0 / scale), ('out1', x1 / scale)],
          }
  
      def test_check_output(self):
          # When input contains inf, do not check the output, 
          # since the output may be nondeterministic and will be discarded.
          self.check_output_with_place(self.place, no_check_set=['Out'])
  
  
  class TestCheckFiniteAndUnscaleOpMultiInputWithInf(TestCheckFiniteAndUnscaleOp):
      def init_test_case(self):
          x0 = np.random.random((129, 129)).astype(self.dtype)
          x0[128][128] = np.nan
          x1 = np.random.random((129, 129)).astype(self.dtype)
          x1[128][128] = np.inf
          scale = np.random.random((1)).astype(self.dtype)
  
          self.inputs = {'X': [('x0', x0), ('x1', x1)], 'Scale': scale}
          self.outputs = {
              'FoundInfinite': np.array([1]),
              'Out': [('out0', x0 / scale), ('out1', x1 / scale)],
          }
  
      def test_check_output(self):
          # When input contains inf, do not check the output, 
          # since the output may be nondeterministic and will be discarded.
          self.check_output_with_place(self.place, no_check_set=['Out'])
  
  
  if __name__ == '__main__':
      unittest.main()
  