/******************************************************************************* * 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 ******************************************************************************/ // // Created by GS 31.01.2018 // #include #if NOT_EXCLUDED(OP_zero_fraction) #include namespace nd4j { namespace ops { CUSTOM_OP_IMPL(zero_fraction, 1, 1, false, 0, 0) { auto input = INPUT_VARIABLE(0); auto output = OUTPUT_VARIABLE(0); REQUIRE_TRUE(output->isScalar(), 0, "Rank output should be scalar"); if(input->isEmpty()){ output->p(0, std::numeric_limits::quiet_NaN()); return Status::OK(); } int numZeros = 0; // for (int e = 0; e < input->lengthOf(); e++) // if ((*input)(e) == T(0)) // numZeros++; auto countZero = input->reduceNumber(reduce::CountZero); //nd4j_printf("Zero count is %f for %i elements.", countZero.e(0), input->lengthOf()); //countZero /= double(input->lengthOf()); output->p(0, countZero.e(0) / double(input->lengthOf())); //printIndexedBuffer("Zero count"); return Status::OK(); } DECLARE_SHAPE_FN(zero_fraction) { return SHAPELIST(ConstantShapeHelper::getInstance()->scalarShapeInfo(nd4j::DataType::DOUBLE)); } DECLARE_TYPES(zero_fraction) { getOpDescriptor() ->setAllowedInputTypes(nd4j::DataType::ANY) ->setAllowedOutputTypes({ALL_FLOATS}); } } } #endif