wehub-resource-sync
98 lines
3.5 KiB
C++
98 lines
3.5 KiB
C++
/*
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. 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,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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*/
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#ifndef TVM_RUNTIME_VM_TENSOR_CACHE_SUPPORT_H_
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#define TVM_RUNTIME_VM_TENSOR_CACHE_SUPPORT_H_
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#include <tvm/ffi/container/array.h>
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#include <tvm/ffi/function.h>
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#include <tvm/runtime/tensor.h>
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#include <string>
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#include <unordered_map>
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#include <vector>
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namespace tvm {
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namespace runtime {
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namespace vm {
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/*!
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* \brief Metadata for Tensor cache, which by default, is named as "tensor-cache.json".
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*/
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struct TensorCacheMetadata {
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/*! \brief Each shard of Tensor cache, which by default, is named as "params_shard_x.bin". */
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struct FileRecord {
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/*! \brief Metadata of each parameter */
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struct ParamRecord {
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/*!
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* \brief Load the parameter from raw data.
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* \param device The device to load the parameter onto.
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* \param raw_data The raw data stream
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* \param staging_buffer The buffer to be used to avoid extra OpenCL copies. Pass in a nullptr
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* in other cases
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*/
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TVM_RUNTIME_DLL Tensor Load(Device device, const std::string* raw_data,
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ffi::Optional<Tensor>* staging_buffer = nullptr) const;
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/*! \brief Name of the parameter */
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std::string name;
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/*! \brief Shape of the parameter */
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ffi::Shape shape;
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/*! \brief Data type of the parameter */
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DLDataType dtype;
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/*! \brief Format of the parameter */
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std::string format;
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/*! \brief Number of bytes */
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int64_t nbytes;
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/*! \brief Offset from the raw stream */
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int64_t byte_offset;
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};
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/*! \brief Load a FileRecord into memory */
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TVM_RUNTIME_DLL ffi::Array<Tensor> Load(Device device, //
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const std::string& path_prefix, //
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std::string* raw_data_buffer, //
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ffi::Optional<Tensor>* staging_buffer = nullptr) const;
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/*! \brief Relative path to the bin file */
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std::string data_path;
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/*! \brief Format of the file */
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std::string format;
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/*! \brief Size of the file */
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int64_t nbytes;
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/*! \brief The parameters in the file */
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std::vector<ParamRecord> records;
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};
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/*! \brief The files in the Tensor cache */
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std::vector<FileRecord> records;
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/*! \brief The path to the `tensor-cache.json` file */
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std::string path;
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/*! \brief Load the metadata from a specific directory */
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TVM_RUNTIME_DLL static TensorCacheMetadata Load(const std::string& path);
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/*! \brief Load the metadata from a given JSON string */
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TVM_RUNTIME_DLL static TensorCacheMetadata LoadFromStr(const std::string& json_str,
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const std::string& path);
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};
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} // namespace vm
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} // namespace runtime
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} // namespace tvm
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#endif // TVM_RUNTIME_VM_TENSOR_CACHE_SUPPORT_H_
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