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/* * SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved. * SPDX-License-Identifier: Apache-2.0 * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://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. */ #include "morpheus/stages/deserialize.hpp" #include "mrc/node/rx_sink_base.hpp" #include "mrc/node/rx_source_base.hpp" #include "mrc/node/sink_properties.hpp" #include "mrc/node/source_properties.hpp" #include "mrc/segment/object.hpp" #include "mrc/types.hpp" #include "morpheus/types.hpp" #include "morpheus/utilities/python_util.hpp" #include "morpheus/utilities/string_util.hpp" #include <glog/logging.h> #include <mrc/segment/builder.hpp> #include <pyerrors.h> #include <pymrc/node.hpp> #include <rxcpp/rx.hpp> #include <algorithm> // for min #include <exception> #include <functional> #include <memory> #include <optional> #include <sstream> #include <utility> namespace morpheus { // Component public implementations // ************ DeserializationStage **************************** // DeserializeStage::DeserializeStage(TensorIndex batch_size, bool ensure_sliceable_index) : PythonNode(base_t::op_factory_from_sub_fn(build_operator())), m_batch_size(batch_size), m_ensure_sliceable_index(ensure_sliceable_index) {} DeserializeStage::subscribe_fn_t DeserializeStage::build_operator() { return [this](rxcpp::observable<sink_type_t> input, rxcpp::subscriber<source_type_t> output) { return input.subscribe(rxcpp::make_observer<sink_type_t>( [this, &output](sink_type_t x) { if (!x->has_sliceable_index()) { if (m_ensure_sliceable_index) { auto old_index_name = x->ensure_sliceable_index(); if (old_index_name.has_value()) { // Generate a warning LOG(WARNING) << MORPHEUS_CONCAT_STR( "Incoming MessageMeta does not have a unique and monotonic index. Updating index " "to be unique. Existing index will be retained in column '" << *old_index_name << "'"); } } else { utilities::show_warning_message( "Detected a non-sliceable index on an incoming MessageMeta. Performance when taking slices " "of messages may be degraded. Consider setting `ensure_sliceable_index==True`", PyExc_RuntimeWarning); } } // Make one large MultiMessage auto full_message = std::make_shared<MultiMessage>(x, 0, x->count()); // Loop over the MessageMeta and create sub-batches for (TensorIndex i = 0; i < x->count(); i += this->m_batch_size) { auto next = full_message->get_slice(i, std::min(i + this->m_batch_size, x->count())); output.on_next(std::move(next)); } }, [&](std::exception_ptr error_ptr) { output.on_error(error_ptr); }, [&]() { output.on_completed(); })); }; } // ************ DeserializationStageInterfaceProxy ************* // std::shared_ptr<mrc::segment::Object<DeserializeStage>> DeserializeStageInterfaceProxy::init( mrc::segment::Builder& builder, const std::string& name, TensorIndex batch_size, bool ensure_sliceable_index) { auto stage = builder.construct_object<DeserializeStage>(name, batch_size, ensure_sliceable_index); return stage; } } // namespace morpheus

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