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https://github.com/NVIDIA/TensorRT-LLM.git
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44 lines
1.7 KiB
C++
44 lines
1.7 KiB
C++
/*
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* SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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* SPDX-License-Identifier: Apache-2.0
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include "bindings.h"
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#include "tensorrt_llm/kernels/userbuffers/ub_interface.h"
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namespace py = pybind11;
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namespace tub = tensorrt_llm::runtime::ub;
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namespace tensorrt_llm::kernels::userbuffers
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{
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void UserBufferBindings::initBindings(pybind11::module_& m)
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{
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py::class_<tub::UBBuffer>(m, "UBBuffer")
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.def_readonly("size", &tub::UBBuffer::size)
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.def_property_readonly("addr", [](tub::UBBuffer& self) { return reinterpret_cast<intptr_t>(self.addr); })
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.def_readonly("handle", &tub::UBBuffer::handle)
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.def("invalid", &tub::UBBuffer::invalid);
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m.def("ub_initialize", [](int tp_size) { tub::ub_initialize(tp_size); });
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m.def("ub_is_initialized", &tub::ub_is_initialized);
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m.def(
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"ub_allocate", [](int idx, size_t bytes) { return reinterpret_cast<intptr_t>(tub::ub_allocate(idx, bytes)); });
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m.def("ub_deallocate", [](intptr_t addr) { return tub::ub_deallocate(reinterpret_cast<void*>(addr)); });
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m.def("ub_get", &tub::ub_get);
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m.def("ub_supported", &tub::ub_supported);
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}
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} // namespace tensorrt_llm::kernels::userbuffers
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