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/*
* 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 quantized_rnn-inl.h
* \brief Common functions for quantized recurrent neural network
* \author Zixuan Wei
*/
#ifndef MXNET_OPERATOR_QUANTIZATION_QUANTIZED_RNN_INL_H_
#define MXNET_OPERATOR_QUANTIZATION_QUANTIZED_RNN_INL_H_
namespace mxnet {
namespace op {
namespace quantized_rnn {
enum QuantizedRnnInputs { kData, kParams, kState, kStateCell };
enum QuantizedRnnInputMinMax { kDataScale, kDataShift };
enum QuantizedRnnOutputs { kOut, kStateOut, kStateCellOut };
} // namespace quantized_rnn
} // namespace op
} // namespace mxnet
#endif // MXNET_OPERATOR_QUANTIZATION_QUANTIZED_RNN_INL_H_