cavis/libnd4j/include/ops/declarable/headers/compression.h

62 lines
2.0 KiB
C++

/*******************************************************************************
* 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 <ops/declarable/headers/common.h>
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