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Handle Q5_0 and Q5_1 quants in cuda.

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laurent
2024-02-29 10:54:01 +01:00
parent 4fd00b8900
commit 2c95b7394a
3 changed files with 47 additions and 31 deletions
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54
candle-core/src/quantized/cuda.rs
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@ -16,6 +16,7 @@ pub const MMQ_Y_Q4_0_AMPERE: usize = 32;
pub const NWARPS_Q4_0_AMPERE: usize = 4;
pub const GGML_CUDA_MMV_X: usize = 32;
pub const GGML_CUDA_MMV_Y: usize = 1;
pub const CUDA_DEQUANTIZE_BLOCK_SIZE: usize = 256;
fn dequantize(
data: &CudaSlice<u8>,
@ -25,28 +26,46 @@ fn dequantize(
) -> Result<CudaStorage> {
use cudarc::driver::LaunchAsync;
let (kernel_name, is_k, block_dim) = match dtype {
GgmlDType::Q4_0 => ("dequantize_block_q4_0", false, 32),
GgmlDType::Q4_1 => ("dequantize_block_q4_1", false, 32),
GgmlDType::Q5_0 => ("dequantize_block_q5_0", false, 32),
GgmlDType::Q5_1 => ("dequantize_block_q5_1", false, 32),
GgmlDType::Q8_0 => ("dequantize_block_q8_0", false, 32),
GgmlDType::Q2K => ("dequantize_block_q2_K", true, 64),
GgmlDType::Q3K => ("dequantize_block_q3_K", true, 64),
GgmlDType::Q4K => ("dequantize_block_q4_K", true, 32),
GgmlDType::Q5K => ("dequantize_block_q5_K", true, 64),
GgmlDType::Q6K => ("dequantize_block_q6_K", true, 64),
GgmlDType::Q8K => ("dequantize_block_q8_K", true, 32),
let nb = (elem_count + 255) / 256;
let (kernel_name, is_k, block_dim, num_blocks) = match dtype {
GgmlDType::Q4_0 => ("dequantize_block_q4_0", false, 32, nb),
GgmlDType::Q4_1 => ("dequantize_block_q4_1", false, 32, nb),
GgmlDType::Q5_0 => {
let nb = (elem_count + 2 * CUDA_DEQUANTIZE_BLOCK_SIZE - 1)
/ (2 * CUDA_DEQUANTIZE_BLOCK_SIZE);
(
"dequantize_block_q5_0",
false,
CUDA_DEQUANTIZE_BLOCK_SIZE,
nb,
)
}
GgmlDType::Q5_1 => {
let nb = (elem_count + 2 * CUDA_DEQUANTIZE_BLOCK_SIZE - 1)
/ (2 * CUDA_DEQUANTIZE_BLOCK_SIZE);
(
"dequantize_block_q5_1",
false,
CUDA_DEQUANTIZE_BLOCK_SIZE,
nb,
)
}
GgmlDType::Q8_0 => ("dequantize_block_q8_0", false, 32, nb),
GgmlDType::Q2K => ("dequantize_block_q2_K", true, 64, nb),
GgmlDType::Q3K => ("dequantize_block_q3_K", true, 64, nb),
GgmlDType::Q4K => ("dequantize_block_q4_K", true, 32, nb),
GgmlDType::Q5K => ("dequantize_block_q5_K", true, 64, nb),
GgmlDType::Q6K => ("dequantize_block_q6_K", true, 64, nb),
GgmlDType::Q8K => ("dequantize_block_q8_K", true, 32, nb),
_ => crate::bail!("unsupported dtype for dequantize {dtype:?}"),
};
let func = dev.get_or_load_func(kernel_name, candle_kernels::QUANTIZED)?;
let dst = dev.alloc_zeros::<f32>(elem_count).w()?;
let nb = (elem_count + 255) / 256;
// See e.g.
// https://github.com/ggerganov/llama.cpp/blob/cbbd1efa06f8c09f9dff58ff9d9af509cc4c152b/ggml-cuda.cu#L7270
let cfg = cudarc::driver::LaunchConfig {
grid_dim: (nb as u32, 1, 1),
block_dim: (block_dim, 1, 1),
grid_dim: (num_blocks as u32, 1, 1),
block_dim: (block_dim as u32, 1, 1),
shared_mem_bytes: 0,
};
@ -54,7 +73,10 @@ fn dequantize(
let params = (data, &dst);
unsafe { func.launch(cfg, params) }.w()?;
} else {
let nb32 = elem_count / 32;
let nb32 = match dtype {
GgmlDType::Q5_0 | GgmlDType::Q5_1 => elem_count,
_ => elem_count / 32,
};
let params = (data, &dst, nb32 as i32);
unsafe { func.launch(cfg, params) }.w()?;
}