| /* |
| * 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 ravel.cc |
| * \brief CPU implementation of operators for ravel/unravel. |
| */ |
| #include "./ravel.h" |
| |
| namespace mxnet { |
| namespace op { |
| |
| DMLC_REGISTER_PARAMETER(RavelParam); |
| |
| NNVM_REGISTER_OP(_ravel_multi_index) |
| .add_alias("ravel_multi_index") |
| .describe(R"code(Converts a batch of index arrays into an array of flat indices. The operator follows numpy conventions so a single multi index is given by a column of the input matrix. The leading dimension may be left unspecified by using -1 as placeholder. |
| |
| Examples:: |
| |
| A = [[3,6,6],[4,5,1]] |
| ravel(A, shape=(7,6)) = [22,41,37] |
| ravel(A, shape=(-1,6)) = [22,41,37] |
| |
| )code" ADD_FILELINE) |
| .set_num_inputs(1) |
| .set_num_outputs(1) |
| .set_attr_parser(ParamParser<RavelParam>) |
| .set_attr<FResourceRequest>("FResourceRequest", [](const NodeAttrs& attrs) |
| { return std::vector<ResourceRequest>{ResourceRequest::kTempSpace}; }) |
| .set_attr<nnvm::FListInputNames>("FListInputNames", [](const NodeAttrs& attrs) |
| { return std::vector<std::string>{"data"}; } ) |
| .set_attr<mxnet::FInferShape>("FInferShape", RavelOpShape) |
| .set_attr<nnvm::FInferType>("FInferType", ElemwiseType<1, 1>) |
| .set_attr<FCompute>("FCompute<cpu>", RavelForward<cpu>) |
| .set_attr<nnvm::FGradient>("FGradient", MakeZeroGradNodes) |
| .add_argument("data", "NDArray-or-Symbol", "Batch of multi-indices") |
| .add_arguments(RavelParam::__FIELDS__()); |
| |
| NNVM_REGISTER_OP(_unravel_index) |
| .add_alias("unravel_index") |
| .describe(R"code(Converts an array of flat indices into a batch of index arrays. The operator follows numpy conventions so a single multi index is given by a column of the output matrix. The leading dimension may be left unspecified by using -1 as placeholder. |
| |
| Examples:: |
| |
| A = [22,41,37] |
| unravel(A, shape=(7,6)) = [[3,6,6],[4,5,1]] |
| unravel(A, shape=(-1,6)) = [[3,6,6],[4,5,1]] |
| |
| )code" ADD_FILELINE) |
| .set_num_inputs(1) |
| .set_num_outputs(1) |
| .set_attr_parser(ParamParser<RavelParam>) |
| .set_attr<FResourceRequest>("FResourceRequest", [](const NodeAttrs& attrs) |
| { return std::vector<ResourceRequest>{ResourceRequest::kTempSpace}; }) |
| .set_attr<nnvm::FListInputNames>("FListInputNames", [](const NodeAttrs& attrs) |
| { return std::vector<std::string>{"data"}; } ) |
| .set_attr<mxnet::FInferShape>("FInferShape", UnravelOpShape) |
| .set_attr<nnvm::FInferType>("FInferType", ElemwiseType<1, 1>) |
| .set_attr<FCompute>("FCompute<cpu>", UnravelForward<cpu>) |
| .set_attr<nnvm::FGradient>("FGradient", MakeZeroGradNodes) |
| .add_argument("data", "NDArray-or-Symbol", "Array of flat indices") |
| .add_arguments(RavelParam::__FIELDS__()); |
| |
| } // namespace op |
| } // namespace mxnet |
