cavis/libnd4j/include/loops/cuda/specials/fillIsMax.cu

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/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* 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 raver119@gmail.com
// @author Yurii Shyrma, created on 15.11.2018
//
#include <loops/special_kernels.h>
namespace nd4j {
////////////////////////////////////////////////////////////////////////
template <typename T>
__global__ void execFillIsMax(void *vdZ, Nd4jLong *xShapeInfo, Nd4jLong length, long idx) {
auto dz = reinterpret_cast<T*>(vdZ);
int tid = blockIdx.x * blockDim.x + threadIdx.x;
for (Nd4jLong i = tid; i < length; i += blockDim.x * gridDim.x)
dz[shape::getIndexOffset(i, xShapeInfo, length)] = (i == idx ? (T) 1 : (T) 0);
}
////////////////////////////////////////////////////////////////////////
template <typename T>
__host__ void fillIsMaxGeneric(dim3 &launchDims, cudaStream_t *stream, void *dx, Nd4jLong *xShapeInfo, Nd4jLong length, long idx) {
execFillIsMax<T><<<launchDims.x, launchDims.y, launchDims.z, *stream>>>(dx, xShapeInfo, length, idx);
nd4j::DebugHelper::checkErrorCode(stream, "fillIsMax(...) failed");
}
BUILD_SINGLE_TEMPLATE(template void ND4J_EXPORT fillIsMaxGeneric, (dim3& launchDims, cudaStream_t *stream, void* dz, Nd4jLong *zShapeInfo, Nd4jLong length, long idx), LIBND4J_TYPES);
}