/******************************************************************************* * 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_hashcode) #include #include #include namespace sd { namespace ops { CUSTOM_OP_IMPL(hashcode, 1, 1, false, 0, 0) { REQUIRE_TRUE(block.width() == 1, 0, "hashcode: this op can't be applied along dimension"); auto input = INPUT_VARIABLE(0); auto output = OUTPUT_VARIABLE(0); REQUIRE_TRUE(output->isScalar(), 0, "hashcode: this op requires scalar output"); helpers::hashCode(block.launchContext(), *input, *output); return Status::OK(); }; DECLARE_SHAPE_FN(hashcode) { return SHAPELIST(ConstantShapeHelper::getInstance().scalarShapeInfo(sd::DataType::INT64)); } DECLARE_TYPES(hashcode) { getOpDescriptor() ->setAllowedInputTypes(0, {ALL_INTS, ALL_FLOATS}) ->setAllowedInputTypes(1, {ALL_INTS}) ->setAllowedOutputTypes({sd::DataType::INT64}); }; } } #endif