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#pragma once
#include <torch/csrc/lazy/backend/backend_interface.h>
#include <utility>
namespace torch::lazy {
class TORCH_API TSData : public torch::lazy::BackendData {
public:
TSData(const at::Scalar& scalar, const torch::lazy::BackendDevice& device)
: torch::lazy::BackendData(device, torch::lazy::Shape(scalar.type(), {})),
scalar(scalar) {}
TSData(
at::Tensor data,
const torch::lazy::Shape& shape,
const torch::lazy::BackendDevice& device)
: torch::lazy::BackendData(device, shape), data_(std::move(data)) {}
TSData(
const torch::lazy::Shape& shape,
const torch::lazy::BackendDevice& device)
: torch::lazy::BackendData(device, shape) {}
Handle GetHandle() override {
return reinterpret_cast<int64_t>(this);
}
void Assign(const torch::lazy::BackendData& data) override {
data_ = static_cast<const TSData&>(data).data_;
}
bool HasValue() const override {
return data_.defined();
}
at::Tensor data() {
return data_;
}
std::optional<at::Scalar> scalar;
private:
at::Tensor data_;
};
TORCH_API torch::lazy::BackendImplInterface* GetTSBackendImpl();
TORCH_API void InitTorchScriptBackend();
} // namespace torch::lazy
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