blob: 0f42a2e76df0b85b982714ad0931e8cdb581a366 [file]
/*
* 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.
*/
/*!
* Copyright (c) 2019 by Contributors
* \file np_choice_op.cu
* \brief Operator for random subset sampling
*/
#include <thrust/execution_policy.h>
#include <thrust/sort.h>
#include <thrust/swap.h>
#include "./np_choice_op.h"
namespace mxnet {
namespace op {
template <>
void _sort<gpu>(float* key, int64_t* data, index_t length) {
thrust::device_ptr<float> dev_key(key);
thrust::device_ptr<int64_t> dev_data(data);
thrust::sort_by_key(dev_key, dev_key + length, dev_data,
thrust::greater<float>());
}
NNVM_REGISTER_OP(_npi_choice)
.set_attr<FCompute>("FCompute<gpu>", NumpyChoiceForward<gpu>);
} // namespace op
} // namespace mxnet