/******************************************************************************* * Copyright (c) 2015-2019 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_bits_hamming_distance) #include #include #include namespace nd4j { namespace ops { CUSTOM_OP_IMPL(bits_hamming_distance, 2, 1, true, 0, 0) { auto x = INPUT_VARIABLE(0); auto y = INPUT_VARIABLE(1); auto output = OUTPUT_VARIABLE(0); REQUIRE_TRUE(x->lengthOf() == y->lengthOf(), 0, "bits_hamming_distance: both arguments must have the same length"); REQUIRE_TRUE(x->dataType() == y->dataType(), 0, "bits_hamming_distance: both arguments must have the same data type"); helpers::hamming(block.launchContext(), *x, *y, *output); return Status::OK(); } DECLARE_SHAPE_FN(bits_hamming_distance) { return SHAPELIST(ConstantShapeHelper::getInstance()->scalarShapeInfo(nd4j::DataType::INT64)); } DECLARE_TYPES(bits_hamming_distance) { getOpDescriptor() ->setAllowedInputTypes(0, {ALL_INTS}) ->setAllowedInputTypes(1, {ALL_INTS}) ->setAllowedOutputTypes(0, {ALL_INDICES}) ->setSameMode(true); } } } #endif