/* ****************************************************************************** * * * 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 // #include #include namespace sd { namespace ops { namespace helpers { template static _CUDA_G void print_device(const void *special, const Nd4jLong *shapeInfo) { auto length = shape::length(shapeInfo); auto x = reinterpret_cast(special); // TODO: add formatting here printf("["); for (uint64_t e = 0; e < length; e++) { printf("%f", (float) x[shape::getIndexOffset(e, shapeInfo)]); if (e < length - 1) printf(", "); } printf("]\n"); } template static _CUDA_H void exec_print_device(LaunchContext &ctx, const void *special, const Nd4jLong *shapeInfo) { print_device<<<1, 1, 1024, *ctx.getCudaStream()>>>(special, shapeInfo); } void print_special(LaunchContext &ctx, const NDArray &array, const std::string &message) { NDArray::prepareSpecialUse({}, {&array}); PointersManager pm(&ctx, "print_device"); BUILD_SINGLE_SELECTOR(array.dataType(), exec_print_device, (ctx, array.specialBuffer(), array.specialShapeInfo()), LIBND4J_TYPES) pm.synchronize(); NDArray::registerSpecialUse({}, {&array}); } } } }