/******************************************************************************* * 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 // #include #if NOT_EXCLUDED(OP_set_seed) #include #include namespace nd4j { namespace ops { CUSTOM_OP_IMPL(set_seed, -2, 1, false, 0, -2) { // REQUIRE_TRUE(block.getRNG() != nullptr, 0, "RNG should be defined in Graph"); auto rng = block.getRng(); //.getRNG(); Nd4jLong seed = 0; if (block.getIArguments()->size() > 0) { seed = INT_ARG(0); } else if (block.width() > 0) { auto input = INPUT_VARIABLE(0); REQUIRE_TRUE(input->isScalar(),0 ,"SetSeed: Seed operand should be scalar"); seed = input->e(0); } else { REQUIRE_TRUE(false, 0, "SetSeed: either IArg or scalr input should be provided"); } // FIXME: this approach isn't really good for cuda, since it'll assume that CUDA might get nullptr instead of stream //refreshBuffer(nullptr, seed, (Nd4jPointer) rng); rng.setSeed((int)seed); return Status::OK(); } DECLARE_SHAPE_FN(set_seed) { auto newshape = ConstantShapeHelper::getInstance()->scalarShapeInfo(block.dataType()); return SHAPELIST(newshape); } DECLARE_TYPES(set_seed) { getOpDescriptor() ->setAllowedInputTypes({ALL_INTS}) ->setAllowedOutputTypes({ALL_FLOATS}); } } } #endif