use metal::MTLSize;
use crate::buffer::MlxBuffer;
use crate::device::MlxDevice;
use crate::dtypes::DType;
use crate::encoder::CommandEncoder;
use crate::error::{MlxError, Result};
use crate::kernel_registry::KernelRegistry;
use super::encode_helpers::{as_bytes, encode_with_args, KernelArg};
const QK8_0: usize = 32;
const BLOCK_BYTES: usize = 34;
const KERNEL: &str = "embedding_gather_q8_0_f32";
pub static EMBEDDING_Q8_0_SHADER_SOURCE: &str = include_str!("../shaders/embedding_q8_0.metal");
pub fn register(registry: &mut KernelRegistry) {
registry.register_source(KERNEL, EMBEDDING_Q8_0_SHADER_SOURCE);
}
#[derive(Clone, Copy, Debug, Eq, PartialEq)]
pub struct EmbeddingQ8_0Params {
pub vocab_size: usize,
pub embed_dim: usize,
pub n_tokens: usize,
}
#[repr(C)]
#[derive(Clone, Copy, bytemuck::Pod, bytemuck::Zeroable)]
struct GpuEmbeddingQ8_0Params {
vocab_size: u32,
embed_dim: u32,
blocks_per_row: u32,
n_tokens: u32,
}
#[allow(clippy::too_many_arguments)]
pub fn embedding_gather_q8_0(
encoder: &mut CommandEncoder,
registry: &mut KernelRegistry,
device: &MlxDevice,
weight: &MlxBuffer,
token_ids: &MlxBuffer,
output: &MlxBuffer,
params: &EmbeddingQ8_0Params,
) -> Result<()> {
if params.vocab_size == 0 || params.embed_dim == 0 || params.n_tokens == 0 {
return Err(MlxError::InvalidArgument(
"embedding_q8_0: all dimensions must be greater than zero".into(),
));
}
if params.embed_dim % QK8_0 != 0 {
return Err(MlxError::InvalidArgument(format!(
"embedding_q8_0: embed_dim {} must be divisible by {QK8_0}",
params.embed_dim
)));
}
if weight.dtype() != DType::U8
|| token_ids.dtype() != DType::U32
|| output.dtype() != DType::F32
{
return Err(MlxError::InvalidArgument(format!(
"embedding_q8_0: expected U8/U32/F32 buffers, got {:?}/{:?}/{:?}",
weight.dtype(),
token_ids.dtype(),
output.dtype()
)));
}
let blocks_per_row = params.embed_dim / QK8_0;
let weight_bytes = params
.vocab_size
.checked_mul(blocks_per_row)
.and_then(|blocks| blocks.checked_mul(BLOCK_BYTES))
.ok_or_else(|| MlxError::InvalidArgument("embedding_q8_0: weight size overflow".into()))?;
let token_bytes = params
.n_tokens
.checked_mul(DType::U32.size_of())
.ok_or_else(|| MlxError::InvalidArgument("embedding_q8_0: token size overflow".into()))?;
let output_bytes = params
.n_tokens
.checked_mul(params.embed_dim)
.and_then(|elements| elements.checked_mul(DType::F32.size_of()))
.ok_or_else(|| MlxError::InvalidArgument("embedding_q8_0: output size overflow".into()))?;
for (name, actual, required) in [
("weight", weight.byte_len(), weight_bytes),
("token_ids", token_ids.byte_len(), token_bytes),
("output", output.byte_len(), output_bytes),
] {
if actual < required {
return Err(MlxError::InvalidArgument(format!(
"embedding_q8_0: {name} buffer needs {required} bytes, got {actual}"
)));
}
}
let ids = token_ids.as_slice::<u32>()?;
if let Some((position, id)) = ids
.iter()
.take(params.n_tokens)
.enumerate()
.find(|(_, id)| **id as usize >= params.vocab_size)
{
return Err(MlxError::InvalidArgument(format!(
"embedding_q8_0: token_ids[{position}]={id} exceeds vocabulary {}",
params.vocab_size
)));
}
let gpu_params = GpuEmbeddingQ8_0Params {
vocab_size: u32::try_from(params.vocab_size).map_err(|_| {
MlxError::InvalidArgument("embedding_q8_0: vocab_size exceeds u32".into())
})?,
embed_dim: u32::try_from(params.embed_dim).map_err(|_| {
MlxError::InvalidArgument("embedding_q8_0: embed_dim exceeds u32".into())
})?,
blocks_per_row: u32::try_from(blocks_per_row).map_err(|_| {
MlxError::InvalidArgument("embedding_q8_0: row block count exceeds u32".into())
})?,
n_tokens: u32::try_from(params.n_tokens).map_err(|_| {
MlxError::InvalidArgument("embedding_q8_0: n_tokens exceeds u32".into())
})?,
};
let pipeline = registry.get_pipeline(KERNEL, device.metal_device())?;
encode_with_args(
encoder,
pipeline,
&[
(0, KernelArg::Buffer(weight)),
(1, KernelArg::Buffer(token_ids)),
(2, KernelArg::Buffer(output)),
(3, KernelArg::Bytes(as_bytes(&gpu_params))),
],
MTLSize::new(params.embed_dim as u64, params.n_tokens as u64, 1),
MTLSize::new(256, 1, 1),
);
Ok(())
}