/* ****************************************************************************** * * * 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 #include namespace sd { namespace ops { namespace helpers { template static int32_t thresholdEstimate_(const NDArray &updates, const float threshold) { auto N = updates.lengthOf(); const auto buffer = updates.bufferAsT(); auto func = PRAGMA_REDUCE_LONG { int64_t cnt = 0; for (auto e = start; e < stop; e++) { auto v = sd::math::nd4j_abs(buffer[e]); if (v >= threshold) cnt++; } return cnt; }; return samediff::Threads::parallel_long(func, LAMBDA_AL { return _old + _new; }, 0, N); } int32_t thresholdEstimate(const NDArray &updates, const float threshold) { BUILD_SINGLE_SELECTOR(updates.dataType(), return thresholdEstimate_, (updates, threshold), FLOAT_TYPES); return 0; } void thresholdEncode(NDArray &updates, NDArray &encoded, float threshold) { BUILD_SINGLE_SELECTOR(updates.dataType(), sd::TypeCast::convertToThreshold, (nullptr, updates.buffer(), updates.lengthOf(), encoded.buffer()), FLOAT_TYPES); } void thresholdDecode(const NDArray &encoded, NDArray &updates) { BUILD_SINGLE_SELECTOR(updates.dataType(), sd::TypeCast::convertFromThreshold, (nullptr, encoded.buffer(), updates.lengthOf(), updates.buffer()), FLOAT_TYPES); } } } }