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138 lines
3.7 KiB
138 lines
3.7 KiB
/**
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* Copyright 2019-2020 Huawei Technologies Co., Ltd
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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 "hybrid/common/tensor_value.h"
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#include <sstream>
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#include "framework/common/debug/ge_log.h"
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#include "hybrid/common/npu_memory_allocator.h"
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namespace ge {
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namespace hybrid {
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TensorBuffer::TensorBuffer(NpuMemoryAllocator *allocator, void *buffer, size_t size, MemStorageType mem_type)
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: allocator_(allocator), buffer_(buffer), size_(size), mem_type_(mem_type) {}
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std::unique_ptr<TensorBuffer> TensorBuffer::Create(NpuMemoryAllocator *allocator, size_t size, AllocationAttr *attr) {
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void *buffer = nullptr;
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if (size == 0) {
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GELOGD("size is 0");
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return Create(buffer, 0U);
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}
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if (allocator == nullptr) {
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GELOGE(INTERNAL_ERROR, "allocator is NULL");
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return nullptr;
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}
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MemStorageType mem_type = HBM;
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if (attr != nullptr) {
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mem_type = attr->GetMemType();
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}
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buffer = allocator->Allocate(size, attr);
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if (buffer == nullptr) {
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GELOGE(MEMALLOC_FAILED, "Failed to allocate memory. size = %zu", size);
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return nullptr;
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}
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GELOGD("Tensor created. addr = %p, size = %zu, mem_type = %d", buffer, size, static_cast<int32_t>(mem_type));
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return std::unique_ptr<TensorBuffer>(new (std::nothrow) TensorBuffer(allocator, buffer, size, mem_type));
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}
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std::unique_ptr<TensorBuffer> TensorBuffer::Create(void *buffer, size_t size) {
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GELOGD("Tensor created. addr = %p, size = %zu", buffer, size);
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return std::unique_ptr<TensorBuffer>(new (std::nothrow) TensorBuffer(nullptr, buffer, size));
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}
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TensorBuffer::~TensorBuffer() {
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if (allocator_ != nullptr && buffer_ != nullptr) {
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allocator_->Deallocate(buffer_, mem_type_);
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}
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}
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TensorValue::TensorValue(std::shared_ptr<TensorBuffer> buffer) : buffer_(std::move(buffer)) {
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}
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TensorValue::TensorValue(void *buffer, size_t size) : ref_buffer_(buffer), ref_size_(size) {
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}
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TensorValue::~TensorValue() { Destroy(); }
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void TensorValue::Destroy() {
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if (buffer_ != nullptr || ref_buffer_ != nullptr) {
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GELOGD("Unref tensor: %s", DebugString().c_str());
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buffer_.reset();
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}
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}
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size_t TensorValue::GetSize() const {
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if (ref_buffer_ != nullptr) {
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return ref_size_;
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}
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if (buffer_ == nullptr) {
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GELOGD("TensorValue[%s] is empty", name_.c_str());
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return 0;
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}
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return buffer_->GetSize();
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}
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const void *TensorValue::GetData() const {
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if (ref_buffer_ != nullptr) {
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return ref_buffer_;
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}
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if (buffer_ == nullptr) {
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GELOGD("TensorValue[%s] is empty", name_.c_str());
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return nullptr;
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}
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return buffer_->GetData();
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}
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void *TensorValue::MutableData() {
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if (ref_buffer_ != nullptr) {
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return ref_buffer_;
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}
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if (buffer_ == nullptr) {
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GELOGD("TensorValue[%s] is empty", name_.c_str());
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return nullptr;
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}
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return buffer_->GetData();
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}
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std::string TensorValue::DebugString() const {
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std::stringstream ss;
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ss << "TensorValue[";
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if (name_.empty()) {
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ss << "unnamed] ";
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} else {
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ss << name_ << "] ";
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}
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if (ref_buffer_ != nullptr) {
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ss << "ref_addr = " << ref_buffer_ << ", size = " << ref_size_;
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} else if (buffer_ != nullptr) {
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ss << "addr = " << buffer_->GetData() << ", size = " << buffer_->GetSize();
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} else {
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ss << "addr = (nil)";
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}
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return ss.str();
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}
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} // namespace hybrid
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} // namespace ge
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