C Specification

Possible values for VkCooperativeVectorMatrixLayoutNV include:

// Provided by VK_NV_cooperative_vector
typedef enum VkCooperativeVectorMatrixLayoutNV {
    VK_COOPERATIVE_VECTOR_MATRIX_LAYOUT_ROW_MAJOR_NV = 0,
    VK_COOPERATIVE_VECTOR_MATRIX_LAYOUT_COLUMN_MAJOR_NV = 1,
    VK_COOPERATIVE_VECTOR_MATRIX_LAYOUT_INFERENCING_OPTIMAL_NV = 2,
    VK_COOPERATIVE_VECTOR_MATRIX_LAYOUT_TRAINING_OPTIMAL_NV = 3,
} VkCooperativeVectorMatrixLayoutNV;

Description

All enum values match the corresponding SPIR-V value.

Row-major layout has elements of each row stored consecutively in memory, with a controllable stride from the start of one row to the start of the next row. Column-major layout has elements of each column stored consecutively in memory, with a controllable stride from the start of one column to the start of the next column. Inferencing-optimal and Training-optimal layouts are implementation-dependent, and the application can convert a matrix to those layouts using vkConvertCooperativeVectorMatrixNV or vkCmdConvertCooperativeVectorMatrixNV. Training-optimal layout with VK_COMPONENT_TYPE_FLOAT16_KHR or VK_COMPONENT_TYPE_FLOAT32_KHR type has the additional guarantee that the application can reinterpret the data as an array of elements and perform element-wise operations on the data, and finite values in any padding elements do not affect the result of a matrix-vector multiply (inf/NaN values may still cause NaN values in the result).

See Also

VK_NV_cooperative_vector, VkConvertCooperativeVectorMatrixInfoNV

Document Notes

For more information, see the Vulkan Specification.

This page is extracted from the Vulkan Specification. Fixes and changes should be made to the Specification, not directly.

Copyright

Copyright 2014-2026 The Khronos Group Inc.

SPDX-License-Identifier: CC-BY-4.0