[Unify Tensors PR #3]Port framework::Tensor members & interfaces to pten::DenseTensor, test=allcases #38473
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…faces accordingly
… allocation_rearrange_pr
… allocation_rearrange_pr
… allocation_rearrange_pr PaddlePaddle#2
… allocation_rearrange_pr
… densetensor_interface_change
…to pten::DenseTensor
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Thanks for your contribution! |
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| meta_.offset = 0; | ||
| } | ||
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| DenseTensor::DenseTensor(const paddle::framework::proto::VarType::Type& dtype) { |
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暂时保留对protobuf的依赖，1月底前完成清理。已在TrickList中追踪。
| return Split(split_size, axis); | ||
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| void* DenseTensor::mutable_data(const paddle::platform::Place& place, |
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| DenseTensor(); | ||
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| explicit DenseTensor(const paddle::framework::proto::VarType::Type& dtype); |
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暂时保留对protobuf的依赖，1月底前完成清理。已在TrickList中追踪。
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| Will be adjusted/removed/moved in the near future | ||
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| public: |
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EigenTensor / EigenMatrix / EigenVector 友元类请在后续调整去除
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| std::vector<DenseTensor> Chunk(int64_t chunks, int64_t axis) const; | ||
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| paddle::framework::proto::VarType::Type type() const; |
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暂时保留对protobuf的依赖，1月底前完成清理。已在TrickList中追踪。
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chenwhql
approved these changes
Jan 4, 2022
| meta_.dims = dims; | ||
| mutable_data(); | ||
| if (storage_ != nullptr) { |
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这里如果直接默认构造一个DenseTensor，然后调用resize，是不是没有实际发挥作用，且不会有任何提示，建议在后续PR增加报错提示
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Resize函数定义里加了一个注释。本质上这里是暂时兼容两种用法：
- pten用法：用Allocator初始化DenseTensor，则Resize不仅修改dims还会直接分配内存
- fluid用法：默认构造DenseTensor，place未知，则延迟到调用mutable_data(place)时再行分配内存
| size_t requested_size = 0); | ||
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| template <typename T> | ||
| T* mutable_data(const DDim& dims, |
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后续可以在不希望被pten kernel使用、仅用于兼容的方法上均增加注释提示，避免迁移kernel时误用
Shixiaowei02
reviewed
Jan 4, 2022
| data_ = holder; | ||
| } | ||
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| std::shared_ptr<paddle::memory::Allocation> move_data_shared() { |
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请问这里是不是返回 shared_ptr&& 好一些
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感谢！提交一个后续Patch进行修改。
Shixiaowei02
approved these changes
Jan 4, 2022
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Port framework::Tensor members & interfaces to pten::DenseTensor