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src/api/operator/numpy/np_delete_op.cc
101 строка
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mozga
[master][bugfix] Zero initialization to avoid error message on a Centos (#20582)
18 ноя 2021, 15:21
Не верифицирован
18 ноя 2021, 15:21
bfa71cf
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/* * 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_delete_op.cc * \brief Implementation of the API of functions in src/operator/numpy/np_delete_op.cc */ #include <mxnet/api_registry.h> #include <mxnet/runtime/packed_func.h> #include <vector> #include "../utils.h" #include "../../../operator/numpy/np_delete_op-inl.h" namespace mxnet { MXNET_REGISTER_API("_npi.delete") .set_body([](runtime::MXNetArgs args, runtime::MXNetRetValue* ret) { using namespace runtime; static const nnvm::Op* op = Op::Get("_npi_delete"); nnvm::NodeAttrs attrs; op::NumpyDeleteParam param = {}; int num_inputs = 0; param.start = dmlc::nullopt; param.step = dmlc::nullopt; param.stop = dmlc::nullopt; param.int_ind = dmlc::nullopt; param.axis = dmlc::nullopt; if (args.num_args == 3) { if (args[1].type_code() == kDLInt || args[1].type_code() == kDLFloat) { if (args[1].type_code() == kDLInt) { param.int_ind = args[1].operator int64_t(); } else if (args[1].type_code() == kDLFloat) { param.int_ind = static_cast<int64_t>(args[1].operator double()); } if (args[2].type_code() == kDLInt) { param.axis = args[2].operator int(); } else if (args[2].type_code() == kDLFloat) { param.axis = static_cast<int>(args[2].operator double()); } num_inputs = 1; } else { if (args[2].type_code() == kDLInt) { param.axis = args[2].operator int(); } else if (args[2].type_code() == kDLFloat) { param.axis = static_cast<int>(args[2].operator double()); } num_inputs = 2; } } else { num_inputs = 1; if (args[1].type_code() == kDLInt) { param.start = args[1].operator int64_t(); } else if (args[1].type_code() == kDLFloat) { param.start = static_cast<int64_t>(args[1].operator double()); } if (args[2].type_code() == kDLInt) { param.stop = args[2].operator int64_t(); } else if (args[2].type_code() == kDLFloat) { param.stop = static_cast<int64_t>(args[2].operator double()); } if (args[3].type_code() == kDLInt) { param.step = args[3].operator int64_t(); } else if (args[3].type_code() == kDLFloat) { param.step = static_cast<int64_t>(args[3].operator double()); } if (args[4].type_code() == kDLInt) { param.axis = args[4].operator int(); } else if (args[4].type_code() == kDLFloat) { param.axis = static_cast<int>(args[4].operator double()); } } std::vector<NDArray*> inputs; inputs.reserve(num_inputs); for (int i = 0; i < num_inputs; ++i) { inputs.push_back(args[i].operator mxnet::NDArray*()); } attrs.parsed = param; attrs.op = op; SetAttrDict<op::NumpyDeleteParam>(&attrs); int num_outputs = 0; auto ndoutputs = Invoke(op, &attrs, num_inputs, inputs.data(), &num_outputs, nullptr); *ret = ndoutputs[0]; }); } // namespace mxnet