blob: 746985c6e9f3f6180bc2d73c7fedeae6b3796077 [file] [log] [blame]
/*
* 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_init_op.cc
* \brief Implementation of the API of functions in src/operator/numpy/np_init_op.cc
*/
#include "../utils.h"
#include "../../../operator/tensor/init_op.h"
namespace mxnet {
MXNET_REGISTER_API("_npi.zeros")
.set_body([](runtime::MXNetArgs args, runtime::MXNetRetValue* ret) {
using namespace runtime;
const nnvm::Op* op = Op::Get("_npi_zeros");
nnvm::NodeAttrs attrs;
op::InitOpParam param;
if (args[0].type_code() == kDLInt) {
param.shape = TShape(1, args[0].operator int64_t());
} else {
param.shape = TShape(args[0].operator ObjectRef());
}
if (args[1].type_code() == kNull) {
param.dtype = mshadow::kFloat32;
} else {
param.dtype = String2MXNetTypeWithBool(args[1].operator std::string());
}
attrs.parsed = std::move(param);
attrs.op = op;
if (args[2].type_code() != kNull) {
attrs.dict["ctx"] = args[2].operator std::string();
}
int num_outputs = 0;
auto ndoutputs = Invoke<op::InitOpParam>(op, &attrs, 0, nullptr, &num_outputs, nullptr);
*ret = ndoutputs[0];
});
} // namespace mxnet