/******************************************************************************* * 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 namespace nd4j { //////////////////////////////////////////////////////////////////////// template __global__ void execFillIsMax(void *vdZ, Nd4jLong length, long idx) { auto dz = reinterpret_cast(vdZ); int tid = blockIdx.x * blockDim.x + threadIdx.x; for (Nd4jLong i = tid; i < length; i += blockDim.x * gridDim.x) dz[i] = (i == idx ? (T) 1 : (T) 0); } //////////////////////////////////////////////////////////////////////// template __host__ void fillIsMaxGeneric(dim3 &launchDims, cudaStream_t *stream, void *dx, Nd4jLong length, long idx) { execFillIsMax<<>>(dx, length, idx); nd4j::DebugHelper::checkErrorCode(stream, "fillIsMax(...) failed"); } BUILD_SINGLE_TEMPLATE(template void ND4J_EXPORT fillIsMaxGeneric, (dim3& launchDims, cudaStream_t *stream, void* dz, Nd4jLong length, long idx), LIBND4J_TYPES); }