blob: bc69cb5e9bf7ca0cb418258dbb512be276e534e5 [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
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* KIND, either express or implied. See the License for the
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*/
/*!
* Copyright (c) 2019 by Contributors
* \file mkldnn_quantized_act.cc
* \brief MKLDNN(Quantized) Activation operator based on subgraph
* /author Zhiyuan Huang
*/
#if MXNET_USE_MKLDNN == 1
#include "../../nn/mkldnn/mkldnn_act-inl.h"
#include "../quantization_utils.h"
namespace mxnet {
namespace op {
static void MKLDNNQuantizedActForward(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<NDArray>& in_data,
const std::vector<OpReqType>& req,
const std::vector<NDArray>& out_data) {
CHECK(in_data[0].dtype() == mshadow::kUint8 ||
in_data[0].dtype() == mshadow::kInt8)
<< "_contrib_quantized_act op only supports uint8 and int8 as input "
"type";
MKLDNNActivationForward(attrs, ctx, in_data[0], req[0], out_data[0]);
out_data[1].data().dptr<float>()[0] = in_data[1].data().dptr<float>()[0];
out_data[2].data().dptr<float>()[0] = in_data[2].data().dptr<float>()[0];
}
NNVM_REGISTER_OP(_contrib_quantized_act)
.set_attr<bool>("TIsMKLDNN", true)
.set_attr<FComputeEx>("FComputeEx<cpu>", MKLDNNQuantizedActForward);
} // namespace op
} // namespace mxnet
#endif // MXNET_USE_MKLDNN == 1