blob: 0937d7aa5145b9c04429ee3cbb98fdc12061753f [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 utils.cu
* \brief gpu implementation of util functions
*/
#include "./utils.h"
#include "../operator/tensor/cast_storage-inl.h"
#include "../operator/tensor/sparse_retain-inl.h"
namespace mxnet {
namespace common {
template<>
void CheckFormatWrapper<gpu>(const RunContext &rctx, const NDArray &input,
const TBlob &err_cpu, const bool full_check) {
CheckFormatImpl<gpu>(rctx, input, err_cpu, full_check);
}
template<>
void SparseRetainOpForwardRspWrapper<gpu>(mshadow::Stream<gpu> *s,
const NDArray& input_nd,
const TBlob& idx_data,
const OpReqType req,
NDArray* output_nd) {
mxnet::op::SparseRetainOpForwardRspImpl<gpu>(s, input_nd, idx_data, req, output_nd);
}
template<>
void CastStorageDispatch<gpu>(const OpContext& ctx,
const NDArray& input,
const NDArray& output) {
mxnet::op::CastStorageComputeImpl<gpu>(ctx, input, output);
}
} // namespace common
} // namespace mxnet