Files
llama.cpp/ggml/src/ggml-webgpu/wgsl-shaders/quant_inner_loops.tmpl
T
Reese Levine e8c54893f2 ggml-webgpu: FlashAttention refactor + standardize quantization support (#23834)
* Start work on flash_attn refactor

* Refactor

* Split k/v quantization

* Refactor and abstract quantization logic for flash_attn and mul_mat

* Add quantization support to tile path

* formatting

* Move to functions, add a check
2026-06-04 08:05:04 +03:00

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#ifdef U32_DEQUANT_HELPERS
fn dequant_q4_0_packed_to_shmem(q_packed: u32, d: f16, dst_idx: u32) {
let scale = QUANT_OUT_TYPE(d);
for (var k = 0u; k < 4u; k++) {
let q_byte = get_byte(q_packed, k);
let q_hi = (QUANT_OUT_TYPE((q_byte >> 4) & 0xFu) - QUANT_OUT_TYPE(8.0)) * scale;
let q_lo = (QUANT_OUT_TYPE(q_byte & 0xFu) - QUANT_OUT_TYPE(8.0)) * scale;
QUANT_SHMEM[dst_idx + k] = q_lo;
QUANT_SHMEM[dst_idx + k + 16u] = q_hi;
}
}
fn dequant_q8_0_packed_to_shmem(q_packed: u32, d: f16, dst_idx: u32) {
let scale = QUANT_OUT_TYPE(d);
for (var k = 0u; k < 4u; k++) {
let q_byte = get_byte_i32(q_packed, k);
let q_val = QUANT_OUT_TYPE(q_byte) * scale;
QUANT_SHMEM[dst_idx + k] = q_val;
}
}
#endif