2021-02-01 13:31:45 +01:00
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/* ******************************************************************************
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*
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2019-06-06 14:21:15 +02:00
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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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2021-02-01 13:31:45 +01:00
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* See the NOTICE file distributed with this work for additional
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* information regarding copyright ownership.
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2019-06-06 14:21:15 +02:00
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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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// Created by raver on 4/5/2018.
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//
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#include <helpers/CudaLaunchHelper.h>
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2020-03-02 10:49:41 +01:00
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#include <math/templatemath.h>
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2019-06-06 14:21:15 +02:00
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2020-03-02 10:49:41 +01:00
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namespace sd {
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2019-06-06 14:21:15 +02:00
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Triple CudaLaunchHelper::getFlatLaunchParams(Nd4jLong length, int SM, int CORES, int SHARED_MEMORY) {
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// TODO: to be implemented
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Triple triple(1, 2, 3);
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return triple;
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}
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int CudaLaunchHelper::getReductionBlocks(Nd4jLong xLength, int blockSize) {
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int div = xLength / blockSize;
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2020-03-02 10:49:41 +01:00
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int can = sd::math::nd4j_max<int>(div, 1);
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2019-06-06 14:21:15 +02:00
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if (xLength % blockSize != 0 && xLength > blockSize)
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can++;
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// not more then 512 blocks
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2020-03-02 10:49:41 +01:00
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return sd::math::nd4j_min<int>(can, 512);
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2019-06-06 14:21:15 +02:00
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}
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}
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