blob: b9926d076bb1f23eb79e6131d2d5a0a89ed14fc1 [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 concat.cu
* \brief
* \author Bing Xu
*/
#include "./concat-inl.h"
namespace mxnet {
namespace op {
static void ConcatComputeExGPU(const nnvm::NodeAttrs& attrs,
const OpContext& op_ctx,
const std::vector<NDArray>& inputs,
const std::vector<OpReqType>& req,
const std::vector<NDArray>& outputs) {
CHECK(!inputs.empty());
CHECK_EQ(outputs.size(), 1U);
CHECK_EQ(req.size(), 1U);
if (req[0] == kNullOp)
return;
if (common::ContainsOnlyStorage(inputs, kCSRStorage) &&
outputs[0].storage_type() == kCSRStorage) {
ConcatCSRImpl<gpu>(attrs, op_ctx, inputs, req, outputs);
} else {
LogUnimplementedOp(attrs, op_ctx, inputs, req, outputs);
}
}
NNVM_REGISTER_OP(Concat)
.add_alias("_npi_concatenate")
.set_attr<FCompute>("FCompute<gpu>", ConcatCompute<gpu>)
.set_attr<FComputeEx>("FComputeEx<gpu>", ConcatComputeExGPU);
NNVM_REGISTER_OP(_rnn_param_concat)
.set_attr<FCompute>("FCompute<gpu>", ConcatCompute<gpu>)
.set_attr<FComputeEx>("FComputeEx<gpu>", ConcatComputeExGPU);
NNVM_REGISTER_OP(_backward_Concat)
.add_alias("_backward_np_concat")
.set_attr<FCompute>("FCompute<gpu>", ConcatGradCompute<gpu>);
} // namespace op
} // namespace mxnet