TessSpec Struct

Tessellation metadata — tile geometry for the MLA's tile-block layout. More...

Declaration

struct simaai::neat::TessSpec { ... }

Included Headers

#include <TensorCore.h>

Public Member Functions Index

void	set_slice_shape (std::vector< int64_t > shape)
	Replace the slice shape (move-friendly). More...

Public Member Attributes Index

std::vector< int64_t >	slice_shape
	Per-axis tile dimensions. More...
std::string	format
	Tessellation format token (specific to the MLA hardware revision). More...
std::vector< int64_t >	axes
	D/H/W/C logical axes; -1 is an absent unit axis. More...
std::size_t	storage_bytes = 0
	Exact tiled payload extent, including tile padding. More...

Description

Tessellation metadata — tile geometry for the MLA's tile-block layout.

Tensors flowing into the MLA are tile-blocked into VCCM-sized chunks. slice_shape is the tile geometry (e.g., [8, 8, 32] for an 8×8×32 tile). The format token identifies the specific tessellation variant.

See Also

"Tessellation/quant/cast" (§17 of the design deep dive)

Definition at line 252 of file TensorCore.h.

Public Member Functions

set_slice_shape()

void simaai::neat::TessSpec::set_slice_shape (std::vector< int64_t > shape)

inline

Replace the slice shape (move-friendly).

Definition at line 261 of file TensorCore.h.

Public Member Attributes

axes

std::vector<int64_t> simaai::neat::TessSpec::axes

D/H/W/C logical axes; -1 is an absent unit axis.

Definition at line 257 of file TensorCore.h.

format

std::string simaai::neat::TessSpec::format

Tessellation format token (specific to the MLA hardware revision).

Definition at line 254 of file TensorCore.h.

slice_shape

std::vector<int64_t> simaai::neat::TessSpec::slice_shape

Per-axis tile dimensions.

Definition at line 253 of file TensorCore.h.

storage_bytes

std::size_t simaai::neat::TessSpec::storage_bytes = 0

Exact tiled payload extent, including tile padding.

Definition at line 258 of file TensorCore.h.

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The documentation for this struct was generated from the following file:

• TensorCore.h

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