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https://github.com/NVIDIA/TensorRT-LLM.git
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62 lines
1.8 KiB
C++
62 lines
1.8 KiB
C++
/*
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* Copyright (c) 2021-2024, NVIDIA CORPORATION. All rights reserved.
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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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#pragma once
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#include "tensorrt_llm/common/assert.h"
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#include "tensorrt_llm/common/logger.h"
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#include <NvInferRuntime.h>
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#include <cstdint>
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#include <map>
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#include <memory>
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#include <utility>
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namespace tensorrt_llm::common::safetensors
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{
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class INdArray
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{
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public:
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[[nodiscard]] virtual void const* data() const = 0;
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[[nodiscard]] virtual int ndim() const = 0;
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[[nodiscard]] virtual std::vector<int64_t> const& dims() const = 0;
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[[nodiscard]] virtual nvinfer1::DataType dtype() const = 0;
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[[nodiscard]] nvinfer1::Dims trtDims() const
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{
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nvinfer1::Dims dims;
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dims.nbDims = ndim();
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TLLM_CHECK(dims.nbDims <= nvinfer1::Dims::MAX_DIMS);
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memset(dims.d, 0, sizeof(dims.d));
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for (int i = 0; i < dims.nbDims; ++i)
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{
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dims.d[i] = this->dims()[i];
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}
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return dims;
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}
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virtual ~INdArray() = default;
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};
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class ISafeTensor
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{
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public:
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static std::shared_ptr<ISafeTensor> open(char const* filename);
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virtual std::shared_ptr<INdArray> getTensor(char const* name) = 0;
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virtual std::vector<std::string> keys() = 0;
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virtual ~ISafeTensor() = default;
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};
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} // namespace tensorrt_llm::common::safetensors
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