code: # Copyright 2019 NVIDIA Corporation
  #
  # 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 torch
  
  import condensa
  from condensa import schemes
  
  def test_float16(device):
      scheme = schemes.Quantize(condensa.float16)
      fc = torch.nn.Linear(100, 10).float().to(device)
  
      scheme.pi(fc)
      assert fc.weight.dtype == torch.float16
      scheme.delta(fc)
      assert fc.weight.dtype == torch.float32
  
  if __name__ == '__main__':
      test_float16('cpu')
      if torch.cuda.is_available():
          test_float16('cpu')
  
apis: torch.cuda.is_available torch.nn.Linear