/******************************************************************************* * 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 Yurii Shyrma (iuriish@yahoo.com), created on 27.08.2018 // #include namespace nd4j { namespace ops { namespace helpers { template static __global__ void global_range(void *output, Nd4jLong length, T start, T delta) { auto buff = reinterpret_cast(output); const auto tid = blockIdx.x * gridDim.x + threadIdx.x; const auto step = gridDim.x * blockDim.x; for(Nd4jLong i = tid; i < length; i += step) buff[i] = start + i * delta; } ////////////////////////////////////////////////////////////////////////// // be careful: outVector must have c-order and ews = 1 !!! template static void _range(nd4j::LaunchContext * context, const NDArray& start, const NDArray& delta, NDArray& outVector) { global_range<<<512, 512, 2048, *context->getCudaStream()>>>(outVector.getSpecialBuffer(), outVector.lengthOf(), start.e(0), delta.e(0)); } void range(nd4j::LaunchContext * context, const NDArray& start, const NDArray& delta, NDArray& outVector) { BUILD_SINGLE_SELECTOR(outVector.dataType(), _range, (context, start, delta, outVector), LIBND4J_TYPES); } BUILD_SINGLE_TEMPLATE(template void _range, (nd4j::LaunchContext * context, const NDArray& start, const NDArray& delta, NDArray& outVector), NUMERIC_TYPES); } } }