/******************************************************************************* * Copyright (c) 2015-2018 Skymind, Inc. * Copyright (c) 2020 Konduit K.K. * * This program and the accompanying materials are made available under the * terms of the Apache License, Version 2.0 which is available at * https://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. * * SPDX-License-Identifier: Apache-2.0 ******************************************************************************/ // // @author sgazeos@gmail.com // #ifndef SD_HEADERS_COMPRESSION_H #define SD_HEADERS_COMPRESSION_H #include namespace sd { namespace ops { /** * encode_bitmap - reinterpret 3D float tensor into uint8_t vector with length N. * * Input: * 0 - 3D float tensor with shape {height, width, channels} * * Output: * 0 - 1D uint8_t tensor with shape {N} */ #if NOT_EXCLUDED(OP_encode_bitmap) DECLARE_CUSTOM_OP(encode_bitmap, 1, 3, true, 1, 0); #endif /** * decode_bitmap - reinterpret uint8_t linear tensor as data to float tensor with shape * * Input: * 0 - uint8_t vector with length N ( shape {N}) * * Output: * 0 - 3D tensor with shape {height, width, channels} * */ #if NOT_EXCLUDED(OP_decode_bitmap) DECLARE_CUSTOM_OP(decode_bitmap, 2, 1, true, 0, 0); #endif DECLARE_CUSTOM_OP(encode_threshold, 2, 1, true, 1, 0); DECLARE_CUSTOM_OP(decode_threshold, 2, 1, true, 0, 0); } } #endif // SD_HEADERS_COMPRESSION_H