__float22bfloat162_ru

Applicability

Product	Supported
Atlas 350 Accelerator Card	√
Atlas A3 training product/Atlas A3 inference product	x
Atlas A2 training product/Atlas A2 inference product	x
Atlas 200I/500 A2 inference product	x
Atlas inference product AI Core	x
Atlas inference product Vector Core	x
Atlas training product	x

Function Usage

Converts the two components of float2 data to bfloat16 precision in line with the CAST_CEIL mode and returns the converted bfloat16x2_t data.

Prototype

inline bfloat16x2_t __float22bfloat162_ru(const float2 x)

Parameters

**Table 1** Parameters
Parameter	Input/Output	Description
x	Input	Source operand.

Returns

The bfloat16x2_t data converted from the two input components in line with the CAST_CEIL mode.

Restrictions

For SIMT programming, this API is not supported.

Header File to Be Included

To use this API, the simt_api/asc_bf16.h header file must be included.

#include "simt_api/asc_bf16.h"

Examples

For SIMD and SIMT programming:

// Use small vectors to improve data movement efficiency.
__simt_vf__ __launch_bounds__(1024) inline void simt_float22bfloat162_ru(__gm__ float2* input, __gm__ bfloat16x2_t* output, uint32_t input_total_length)
{
    uint32_t idx = blockIdx.x * blockDim.x + threadIdx.x;
    // Each thread processes one piece of float2 data, that is, two pieces of float data. Therefore, threads with idx greater than or equal to input_total_length/2 do not process data.
    if (idx >= input_total_length / 2) {
        return;
    }
    output[idx] = __float22bfloat162_ru(input[idx]);
}

__global__ __vector__ void cast_kernel(__gm__ float* input, __gm__ bfloat16_t* output, uint32_t input_total_length)
{
    asc_vf_call<simt_float22bfloat162_ru>(dim3(1024), (__gm__ float2*)input, (__gm__ bfloat16x2_t*)output, input_total_length);
}

Parent topic: Type Conversion