| /* |
| * 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) 2018 by Contributors |
| * \file transformer.cc |
| * \brief CPU implementation of the operators used in Transformer |
| */ |
| #include <mxnet/base.h> |
| #include "./transformer-inl.h" |
| #include "../tensor/elemwise_unary_op.h" |
| |
| namespace mxnet { |
| namespace op { |
| |
| // relu |
| MXNET_OPERATOR_REGISTER_UNARY(_contrib_div_sqrt_dim) |
| .describe(R"code(Rescale the input by the square root of the channel dimension. |
| |
| out = data / sqrt(data.shape[-1]) |
| |
| )code" ADD_FILELINE) |
| .set_attr<FCompute>("FCompute<cpu>", DivSqrtDimForward_<cpu>) |
| .set_attr<nnvm::FGradient>("FGradient", ElemwiseGradUseNone{"_contrib_div_sqrt_dim"}); |
| |
| } // namespace op |
| } // namespace mxnet |
