53 lines
1.8 KiB
Plaintext
53 lines
1.8 KiB
Plaintext
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/*******************************************************************************
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* Copyright (c) 2015-2018 Skymind, Inc.
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*
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* This program and the accompanying materials are made available under the
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* terms of the Apache License, Version 2.0 which is available at
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* https://www.apache.org/licenses/LICENSE-2.0.
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations
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* under the License.
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*
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* SPDX-License-Identifier: Apache-2.0
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******************************************************************************/
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//
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// @author Yurii Shyrma (iuriish@yahoo.com), created on 16.04.2018
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//
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// function nnCell implements an Elman RNN cell: output = activation(Wx*x + bx + Wh*ht + bh)
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#include<ops/declarable/helpers/rnn.h>
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#include <helpers/BlasHelper.h>
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namespace nd4j {
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namespace ops {
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namespace helpers {
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//////////////////////////////////////////////////////////////////////////
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static FORCEINLINE NDArray activation(const NDArray& arr) {
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return (const_cast<NDArray&>(arr)).transform(transform::Tanh);
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}
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//////////////////////////////////////////////////////////////////////////
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void rnnCell(nd4j::LaunchContext * context, const NDArray* xt, const NDArray* Wx, const NDArray* Wh, const NDArray* b, const NDArray* ht_1, NDArray* ht) {
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}
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//////////////////////////////////////////////////////////////////////////
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void rnnTimeLoop(nd4j::LaunchContext * context, const NDArray* x, const NDArray* Wx, const NDArray* Wh, const NDArray* b, const NDArray* h0, const NDArray* maxTimeStep, NDArray* h, NDArray* hFinal) {
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}
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}
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}
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}
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