* Copyright (c) 2025 Huawei Technologies Co., Ltd.
* This program is free software, you can redistribute it and/or modify it under the terms and conditions of
* CANN Open Software License Agreement Version 2.0 (the "License").
* Please refer to the License for details. You may not use this file except in compliance with the License.
* THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
* INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
* See LICENSE in the root of the software repository for the full text of the License.
*/
#include "hybrid/common/tensor_value.h"
#include <sstream>
#include "common/plugin/ge_make_unique_util.h"
#include "framework/common/debug/ge_log.h"
#include "hybrid/common/npu_memory_allocator.h"
namespace ge {
namespace hybrid {
TensorBuffer::TensorBuffer(NpuMemoryAllocator *const allocator, void *const buffer, const size_t size,
const MemStorageType mem_type)
: allocator_(allocator), buffer_(buffer), size_(size), mem_type_(mem_type) {}
std::unique_ptr<TensorBuffer> TensorBuffer::Create(NpuMemoryAllocator * const allocator, const size_t size,
const AllocationAttr * const attr) {
void *buffer = nullptr;
if (size == 0U) {
GELOGD("size is 0");
return Create(buffer, 0U);
}
if (allocator == nullptr) {
GELOGE(INTERNAL_ERROR, "[Check][Param:NpuMemoryAllocator] allocator is NULL.");
REPORT_INNER_ERR_MSG("E19999", "input allocator is NULL.");
return nullptr;
}
MemStorageType mem_type = MemStorageType::HBM;
if (attr != nullptr) {
mem_type = attr->GetMemType();
}
buffer = allocator->Allocate(size, attr);
if (buffer == nullptr) {
GELOGE(MEMALLOC_FAILED, "[Allocate][Memory] Failed. size = %zu.", size);
REPORT_INNER_ERR_MSG("E19999", "allocate failed, size = %zu.", size);
return nullptr;
}
GELOGD("Tensor created. addr = %p, size = %zu, mem_type = %d", buffer, size, static_cast<int32_t>(mem_type));
auto addr = MakeUnique<TensorBuffer>(allocator, buffer, size, mem_type);
if (addr == nullptr) {
allocator->Deallocate(buffer, mem_type);
}
return addr;
}
std::unique_ptr<TensorBuffer> TensorBuffer::Create(void *const buffer, const size_t size) {
GELOGD("Tensor created. addr = %p, size = %zu", buffer, size);
return MakeUnique<TensorBuffer>(nullptr, buffer, size);
}
TensorBuffer::~TensorBuffer() {
if (allocator_ != nullptr) {
allocator_->Deallocate(buffer_, mem_type_);
buffer_ = nullptr;
}
}
TensorValue::TensorValue(const std::shared_ptr<TensorBuffer> buffer) : buffer_(std::move(buffer)) {
if (buffer_ != nullptr) {
mem_type_ = buffer_->GetMemType();
}
}
TensorValue::TensorValue(void *const buffer, const size_t size, const MemStorageType mem_type) : ref_buffer_(buffer),
ref_size_(size), mem_type_(mem_type) {
}
TensorValue::~TensorValue() { Destroy(); }
void TensorValue::Destroy() {
if (buffer_ != nullptr) {
GELOGD("Unref tensor: %s", DebugString().c_str());
buffer_.reset();
}
ref_buffer_ = nullptr;
ref_size_ = 0U;
}
size_t TensorValue::GetSize() const {
if (ref_buffer_ != nullptr) {
return ref_size_;
}
if (buffer_ == nullptr) {
GELOGD("TensorValue[%s] is empty", name_.c_str());
return 0U;
}
return buffer_->GetSize();
}
const void *TensorValue::GetData() const {
if (ref_buffer_ != nullptr) {
return ref_buffer_;
}
if (buffer_ == nullptr) {
GELOGD("TensorValue[%s] is empty", name_.c_str());
return nullptr;
}
return buffer_->GetData();
}
void *TensorValue::MutableData() {
if (ref_buffer_ != nullptr) {
return ref_buffer_;
}
if (buffer_ == nullptr) {
GELOGD("TensorValue[%s] is empty", name_.c_str());
return nullptr;
}
return buffer_->GetData();
}
std::string TensorValue::DebugString() const {
std::stringstream ss;
ss << "TensorValue[";
if (name_.empty()) {
ss << "unnamed] ";
} else {
ss << name_ << "] ";
}
if (ref_buffer_ != nullptr) {
ss << "ref_addr = " << ref_buffer_ << ", size = " << ref_size_;
} else if (buffer_ != nullptr) {
ss << "addr = " << buffer_->GetData() << ", size = " << buffer_->GetSize();
} else {
ss << "addr = (nil)";
}
return ss.str();
}
}
}