Function torch::stable::empty

• Defined in File ops.h

Function Documentation

inline torch::stable::Tensor torch::stable::empty(torch::headeronly::IntHeaderOnlyArrayRef size, std::optional<torch::headeronly::ScalarType> dtype = std::nullopt, std::optional<torch::headeronly::Layout> layout = std::nullopt, std::optional<torch::stable::Device> device = std::nullopt, std::optional<bool> pin_memory = std::nullopt, std::optional<torch::headeronly::MemoryFormat> memory_format = std::nullopt)

Stable version of the empty.memory_format op.

Creates a new uninitialized tensor with the specified size and options. This function supports full tensor creation options including device, dtype, layout, and memory format.

Minimum compatible version: PyTorch 2.10.

Parameters:

• size – The desired size of the output tensor.

• dtype – Optional scalar type for the tensor elements.

• layout – Optional memory layout (e.g., strided, sparse).

• device – Optional device to place the tensor on.

• pin_memory – Optional flag to use pinned memory (for CUDA tensors).

• memory_format – Optional memory format for the tensor.

Returns:

A new uninitialized tensor with the specified properties.