NVIDIA Morpheus (24.06)
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Program Listing for File inference_memory_nlp.cpp

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/* * SPDX-FileCopyrightText: Copyright (c) 2021-2024, 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/messages/memory/inference_memory_nlp.hpp" #include "morpheus/messages/memory/inference_memory.hpp" #include "morpheus/utilities/cupy_util.hpp" // for CupyUtil #include <pybind11/pytypes.h> #include <utility> // for move, pair namespace morpheus { /****** Component public implementations *******************/ /****** InferenceMemoryNLP ****************************************/ InferenceMemoryNLP::InferenceMemoryNLP(TensorIndex count, TensorObject&& input_ids, TensorObject&& input_mask, TensorObject&& seq_ids) : InferenceMemory(count) { set_tensor("input_ids", std::move(input_ids)); set_tensor("input_mask", std::move(input_mask)); set_tensor("seq_ids", std::move(seq_ids)); } const TensorObject& InferenceMemoryNLP::get_input_ids() const { return get_tensor("input_ids"); } void InferenceMemoryNLP::set_input_ids(TensorObject&& input_ids) { set_tensor("input_ids", std::move(input_ids)); } const TensorObject& InferenceMemoryNLP::get_input_mask() const { return get_tensor("input_mask"); } void InferenceMemoryNLP::set_input_mask(TensorObject&& input_mask) { set_tensor("input_mask", std::move(input_mask)); } const TensorObject& InferenceMemoryNLP::get_seq_ids() const { return get_tensor("seq_ids"); } void InferenceMemoryNLP::set_seq_ids(TensorObject&& seq_ids) { set_tensor("seq_ids", std::move(seq_ids)); } /****** InferenceMemoryNLPInterfaceProxy *************************/ std::shared_ptr<InferenceMemoryNLP> InferenceMemoryNLPInterfaceProxy::init(TensorIndex count, pybind11::object input_ids, pybind11::object input_mask, pybind11::object seq_ids) { // Convert the cupy arrays to tensors return std::make_shared<InferenceMemoryNLP>(count, std::move(CupyUtil::cupy_to_tensor(input_ids)), std::move(CupyUtil::cupy_to_tensor(input_mask)), std::move(CupyUtil::cupy_to_tensor(seq_ids))); } pybind11::object InferenceMemoryNLPInterfaceProxy::get_input_ids(InferenceMemoryNLP& self) { return get_tensor_property(self, "input_ids"); } void InferenceMemoryNLPInterfaceProxy::set_input_ids(InferenceMemoryNLP& self, pybind11::object cupy_values) { self.set_input_ids(CupyUtil::cupy_to_tensor(cupy_values)); } pybind11::object InferenceMemoryNLPInterfaceProxy::get_input_mask(InferenceMemoryNLP& self) { return get_tensor_property(self, "input_mask"); } void InferenceMemoryNLPInterfaceProxy::set_input_mask(InferenceMemoryNLP& self, pybind11::object cupy_values) { return self.set_input_mask(CupyUtil::cupy_to_tensor(cupy_values)); } pybind11::object InferenceMemoryNLPInterfaceProxy::get_seq_ids(InferenceMemoryNLP& self) { return get_tensor_property(self, "seq_ids"); } void InferenceMemoryNLPInterfaceProxy::set_seq_ids(InferenceMemoryNLP& self, pybind11::object cupy_values) { return self.set_seq_ids(CupyUtil::cupy_to_tensor(cupy_values)); } } // namespace morpheus

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