text: /**
   * Copyright 2020 Huawei Technologies Co., Ltd
   *
   * 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.
   */
  
  #include "minddata/dataset/kernels/data/mask_op.h"
  
  #include "minddata/dataset/core/tensor.h"
  #include "minddata/dataset/kernels/tensor_op.h"
  
  namespace mindspore {
  namespace dataset {
  
  Status MaskOp::Compute(const std::shared_ptr<Tensor> &input, std::shared_ptr<Tensor> *output) {
    IO_CHECK(input, output);
    std::shared_ptr<Tensor> temp_output;
    CHECK_FAIL_RETURN_UNEXPECTED(type_.IsNumeric(), "Cannot generate a string mask. Type should be numeric.");
  
    RETURN_IF_NOT_OK(Mask(input, &temp_output, value_, op_));
  
    // cast the output to the the required type. Skip casting if type_ is bool.
    if (type_ != DataType::DE_BOOL) {
      RETURN_IF_NOT_OK(cast_->Compute(temp_output, output));
    } else {
      *output = std::move(temp_output);
    }
  
    return Status::OK();
  }
  
  Status MaskOp::OutputType(const std::vector<DataType> &inputs, std::vector<DataType> &outputs) {
    RETURN_IF_NOT_OK(TensorOp::OutputType(inputs, outputs));
    outputs[0] = type_;
    return Status::OK();
  }
  
  }  // namespace dataset
  }  // namespace mindspore
  