b4575d11e9
* libnd4j cast loop types Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j more type castination added to loops Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j sync casting types of iterated variable in loops Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j more loops reviewed for vectorization problem fix Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j fixed several typos Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j several more files reviewed to fix auto-vectorization problem in loops Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j merge master and reviewed more files to fix auto-vectorization problem in loops Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j several type casting added in broadcasting that were missed, fixed mac builds Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j double check all files and fix several more places in loops Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j fixed builds Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j revert changes for lup.cpp Signed-off-by: Oleg <oleg.semeniv@gmail.com>
74 lines
3.3 KiB
C++
74 lines
3.3 KiB
C++
/*******************************************************************************
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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 George A. Shulinok <sgazeos@gmail.com>
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//
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#include <ops/declarable/helpers/matrix_band.h>
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namespace nd4j {
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namespace ops {
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namespace helpers {
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template <typename T>
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void matrixBandPart_(NDArray* input, NDArray* output, Nd4jLong lowerBand, Nd4jLong upperBand) {
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// TO DO: retrieve all 2D submatricies with last dimensions and process them with given bands
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Nd4jLong M = input->sizeAt(-2);
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Nd4jLong N = input->sizeAt(-1);
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Nd4jLong lastDim = input->rankOf() - 1;
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Nd4jLong preLastDim = input->rankOf() - 2;
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ResultSet listOut = output->allTensorsAlongDimension({(int)preLastDim, (int)lastDim});
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ResultSet listDiag = input->allTensorsAlongDimension({(int)preLastDim, (int)lastDim});
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for (Nd4jLong e = 0; e < static_cast<Nd4jLong>(listOut.size()); ++e) {
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NDArray* inputMatrix = listDiag.at(e);
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NDArray* outputMatrix = listOut.at(e);
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if (outputMatrix != inputMatrix) // if not inplace
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outputMatrix->assign(inputMatrix);
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if (lowerBand >= 0) {
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for (Nd4jLong row = 0; row < inputMatrix->rows(); ++row) {
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for (Nd4jLong col = 0; col < row; ++col) {
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if ((row - col) > lowerBand)
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outputMatrix->p(row, col, 0.);
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// else
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// (*outputMatrix)(row, col) = (*inputMatrix)(row, col);
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}
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// in_band(m, n) = (num_lower < 0 || (m-n) <= num_lower)) && (num_upper < 0 || (n-m) <= num_upper).
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}
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}
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if (upperBand >= 0) {
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for (Nd4jLong col = 0; col < inputMatrix->columns(); ++col) {
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for (Nd4jLong row = 0; row < col; ++row) {
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if ((col - row) > upperBand)
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outputMatrix->p(row, col, 0.);
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// else
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// (*outputMatrix)(row, col) = (*inputMatrix)(row, col);
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}
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// in_band(m, n) = (num_lower < 0 || (m-n) <= num_lower)) && (num_upper < 0 || (n-m) <= num_upper).
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}
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}
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}
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}
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void matrixBandPart(nd4j::LaunchContext * context, NDArray* input, NDArray* output, Nd4jLong lowerBand, Nd4jLong upperBand) {
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BUILD_SINGLE_SELECTOR(input->dataType(), matrixBandPart_, (input, output, lowerBand, upperBand), FLOAT_TYPES);
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}
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BUILD_SINGLE_TEMPLATE(template void matrixBandPart_, (NDArray* input, NDArray* output, Nd4jLong lowerBand, Nd4jLong upperBand), FLOAT_TYPES);
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}
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}
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}
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