/* ****************************************************************************** * * * 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. * * See the NOTICE file distributed with this work for additional * information regarding copyright ownership. * 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 sd { //////////////////////////////////////////////////////////////////////// template __global__ void execConvertToHalf(void *dx, Nd4jLong n, half *dz) { auto x = reinterpret_cast(dx); int tid = threadIdx.x + blockIdx.x * blockDim.x; for (Nd4jLong i = tid; i < n; i += blockDim.x * gridDim.x) dz[i] = __float2half(static_cast(x[i])); } //////////////////////////////////////////////////////////////////////// template __host__ void convertToHalfGeneric(dim3 &launchDims, cudaStream_t *stream, void *dx, Nd4jLong n, half *dz) { execConvertToHalf<<>>(dx, n, dz); sd::DebugHelper::checkErrorCode(stream, "convertToHalfs(...) failed"); } BUILD_SINGLE_TEMPLATE(template void ND4J_EXPORT convertToHalfGeneric, (dim3 & launchDims, cudaStream_t * stream, void * dx, Nd4jLong n, half * dz), LIBND4J_TYPES); }