Stable Operators

The stable API provides tensor operations that maintain binary compatibility across PyTorch versions.

Tensor Class

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Example:

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torch::stable::Tensor tensor = torch::stable::empty({3, 4}, ...);
float* data = tensor.data_ptr<float>();
auto shape = tensor.sizes();

Device Class

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Example:

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torch::stable::Device cpu_device(torch::headeronly::DeviceType::CPU);
torch::stable::Device cuda_device(torch::headeronly::DeviceType::CUDA, 0);

Tensor Creation

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Example:

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auto tensor = torch::stable::empty(
    {3, 4},
    torch::headeronly::ScalarType::Float,
    torch::headeronly::Layout::Strided,
    torch::stable::Device(torch::headeronly::DeviceType::CUDA, 0),
    false,
    torch::headeronly::MemoryFormat::Contiguous);

Tensor Manipulation

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Device and Type Conversion

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In-place Operations

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Mathematical Operations

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