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Mojo function

stack_allocation

def stack_allocation[LayoutType: TensorLayout, //, dtype: DType, address_space: AddressSpace = AddressSpace.GENERIC, alignment: Int = align_of[dtype]()](var layout: LayoutType) -> TileTensor[dtype, LayoutType, MutUntrackedOrigin, address_space=address_space] where LayoutType.all_dims_known

Allocate a TileTensor on the stack with the given layout.

Creates a stack-allocated buffer sized for the layout and returns a TileTensor pointing to it. The layout must have all dimensions known at compile time.

Constraints:

All layout dimensions must be statically known.

Parameters:

• ​LayoutType (TensorLayout): The layout type (inferred from layout argument).
• ​dtype (DType): The data type of tensor elements.
• ​address_space (AddressSpace): Memory address space (default: GENERIC).
• ​alignment (Int): Allocation alignment in bytes (default: natural type alignment from align_of[dtype]()). Pass an explicit value when downstream loads/stores require larger alignment (for example, AMD ds_read_b128 requires 16 B, and sub-block swizzles can require alignment up to the sub-block size). Forwarded to the underlying std.memory.stack_allocation.

Args:

• ​layout (LayoutType): The layout instance defining shape and strides.

Returns:

TileTensor[dtype, LayoutType, MutUntrackedOrigin, address_space=address_space]: A mutable TileTensor backed by stack-allocated memory.