TP: quantized KV cache support (#23792)

* TP: quantized KV cache support

* fix partial view

* remove overly strict assert
This commit is contained in:
Johannes Gäßler
2026-06-01 12:30:10 +02:00
committed by GitHub
parent 02a57017f6
commit 8e6fff84de
4 changed files with 172 additions and 163 deletions
+7 -3
View File
@@ -381,11 +381,15 @@ extern "C" {
// - most tensors have n_segments == 1 and a contiguous slice of the tensor data
// - some tensors have an inhomogenenous data layout along the split axis,
// those tensors are divided into segments which are each individually split across devices
// - ne has one entry per segment and device that add up to ggml_tensor::ne for that axis,
// the outer/inner loops are over segments/devices like [seg0_dev0, seg0_dev1, seg1_dev0, seg1_dev1],
// - ne has one entry per segment and device and that segment repeats nr times,
// in total when accounting for repetitions the segments add up to ggml_tensor::ne for that axis,
// the outer/inner loops are over segments/devices like [seg0_dev0_r0, seg0_dev1_r0, seg0_dev0_r1, seg0_dev1_r1, seg1_dev0_r0, seg1_dev1_r0],
// - for example, a transformer may have a fused QKV matrix rather than 3 matrices, those would be 3 separate segments
// that each need to be split individually across devices so that each device gets a slice of Q, K, and V
// that each need to be split individually across devices so that each device gets a slice of Q, K, and V,
// the Q matrix can be larger than the K and V matrices so this can either be expressed as 3 segments or as 2 segments
// where the segment for K/V repeats twice
int64_t ne[16*GGML_BACKEND_META_MAX_DEVICES];
uint32_t nr[16];
uint32_t n_segments;
};