| /* |
| * 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 dnnl_quantized_pooling.cc |
| * \brief |
| * \author Tao Lv, Xinyu Chen |
| */ |
| |
| #if MXNET_USE_ONEDNN == 1 |
| |
| #include "operator/nn/dnnl/dnnl_pooling-inl.h" |
| |
| namespace mxnet { |
| namespace op { |
| |
| static void DNNLQuantizedPoolingForward(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) |
| << "dnnl_quantized_pooling op only supports uint8 and int8 as input type"; |
| DNNLRun(DNNLPoolingCompute, attrs, ctx, in_data, req, out_data); |
| 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_pooling) |
| .set_attr<bool>("TIsDNNL", true) |
| .set_attr<FComputeEx>("FComputeEx<cpu>", DNNLQuantizedPoolingForward); |
| |
| } // namespace op |
| } // namespace mxnet |
| |
| #endif // MXNET_USE_ONEDNN == 1 |
