src/api/operator/numpy/np_nan_to_num_op.cc

/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you 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.
 */

/*!
 * \file np_nan_to_num_op.cc
 * \brief Implementation of the API of nan_to_num function in
 *        src/operator/tensor/np_elemwise_unary_op_basic.cc
 */
#include <mxnet/api_registry.h>
#include "../utils.h"
#include "../../../operator/tensor/elemwise_unary_op.h"

namespace mxnet {

MXNET_REGISTER_API("_npi.nan_to_num")
    .set_body([](runtime::MXNetArgs args, runtime::MXNetRetValue* ret) {
      using namespace runtime;
      const nnvm::Op* op = Op::Get("_npi_nan_to_num");
      nnvm::NodeAttrs attrs;

      op::NumpyNanToNumParam param = {};
      int num_inputs    = 1;
      NDArray* inputs[] = {args[0].operator mxnet::NDArray*()};

      param.copy = args[1].operator bool();
      param.nan  = args[2].operator double();

      if (args[3].type_code() == kNull) {
        param.posinf = dmlc::nullopt;
      } else {
        param.posinf = args[3].operator double();
      }

      if (args[4].type_code() == kNull) {
        param.neginf = dmlc::nullopt;
      } else {
        param.neginf = args[4].operator double();
      }

      attrs.parsed = param;
      attrs.op     = op;
      SetAttrDict<op::NumpyNanToNumParam>(&attrs);

      NDArray* out      = args[5].operator mxnet::NDArray*();
      NDArray** outputs = out == nullptr ? nullptr : &out;
      // set the number of outputs provided by the `out` arugment
      int num_outputs = out != nullptr;
      auto ndoutputs  = Invoke(op, &attrs, num_inputs, inputs, &num_outputs, outputs);
      if (out) {
        *ret = PythonArg(5);
      } else {
        *ret = ndoutputs[0];
      }
    });

}  // namespace mxnet