| /* |
| * 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 multi_lars.cc |
| * \brief vectorized LARS coefficient computed from sums of squared weights and grads |
| * \author Clement Fuji Tsang |
| */ |
| |
| #include "./multi_lars-inl.h" |
| #include "../elemwise_op_common.h" |
| |
| namespace mxnet { |
| namespace op { |
| |
| DMLC_REGISTER_PARAMETER(LARSParam); |
| |
| NNVM_REGISTER_OP(multi_lars) |
| .describe( |
| R"code(Compute the LARS coefficients of multiple weights and grads from their sums of square" |
| )code" ADD_FILELINE) |
| .set_num_inputs(4) |
| .set_num_outputs(1) |
| .set_attr_parser(ParamParser<LARSParam>) |
| .set_attr<mxnet::FInferShape>("FInferShape", ElemwiseShape<4, 1>) |
| .set_attr<nnvm::FInferType>("FInferType", ElemwiseType<4, 1>) |
| .set_attr<FInferStorageType>("FInferStorageType", |
| ElemwiseStorageType<4, 1, false, false, false>) |
| .set_attr<nnvm::FListInputNames>("FListInputNames", |
| [](const nnvm::NodeAttrs& attrs) { |
| std::vector<std::string> list_input_names = { |
| "lrs", "weights_sum_sq", "grads_sum_sq", "wds"}; |
| return list_input_names; |
| }) |
| .set_attr<FCompute>("FCompute<cpu>", MultiLARS<cpu>) |
| .add_argument("lrs", "NDArray-or-Symbol", "Learning rates to scale by LARS coefficient") |
| .add_argument("weights_sum_sq", "NDArray-or-Symbol", "sum of square of weights arrays") |
| .add_argument("grads_sum_sq", "NDArray-or-Symbol", "sum of square of gradients arrays") |
| .add_argument("wds", "NDArray-or-Symbol", "weight decays") |
| .add_arguments(LARSParam::__FIELDS__()); |
| |
| } // namespace op |
| } // namespace mxnet |
