3 Commits

Author SHA1 Message Date
Kaloyan Nikolov 31ce8b1ae5 fix(metal): correct Q4_0 contiguous kernel nibble extraction
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- Extract all 8 nibbles per uint32_t with proper bit shifts
- Use il-based offset for uint32_t selection (qs[il/8] and qs[il/8+2])
- Apply bias correction once per block instead of 4x accumulated
2026-05-01 00:13:56 +02:00
Kaloyan Nikolov 06f05e71c1 [metal] wire contiguous Q4_0 kernel into dispatch (#29)
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2026-04-30 22:38:37 +02:00
Kaloyan Nikolov eeb79b026b [metal] extend bin op fusion to MUL/SUB/DIV chains (#28)
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2026-04-30 20:14:12 +02:00
3 changed files with 107 additions and 117 deletions
+16 -116
View File
@@ -52,59 +52,9 @@ Issue labels:
2. Make changes, commit with `[area] description` conventions (see below)
3. Push branch: `git push gitea feature/<name>`
4. Create PR on Gitea targeting `master`
5. Before merge: build, benchmark (record in BENCHMARKS.md), perplexity check if kernel changed, **coherence test** (see below)
5. Before merge: build, benchmark (record in BENCHMARKS.md), perplexity check if kernel changed
6. Squash-merge to master
## Pre-Merge Coherence Tests
**Mandatory before any merge to master.** Run on both `master` and the PR branch to detect silent correctness regressions.
> **IMPORTANT:** macOS has no `timeout` command. Use `gtimeout` (from `brew install coreutils`).
### Quick Coherence Test (4B model, ~30s)
```bash
gtimeout 60 ./build-build/bin/llama-cli \
-m ~/.llama/models/Qwen3.5-4B-Q4_0.gguf \
-n 64 -p "Once upon a time" \
--temp 0 -s 42 -st
```
### Perplexity Check (kernel changes only)
```bash
gtimeout 120 ./build-build/bin/llama-perplexity \
-m ~/.llama/models/Qwen3.5-4B-Q4_0.gguf \
-f /tmp/coherence_test.txt -t 1 --chunks 1 -c 128
```
### Verification
- **llama-cli**: PR output must be coherent speech (not gibberish). Does not need to be bit-perfect vs master.
- **perplexity**: PR perplexity must match master within floating-point tolerance (<0.1% delta)
- **Gibberish output = block merge.** Re-dispatch with specific feedback.
### Timeout Policy
**All test commands MUST use `gtimeout`** to prevent hangs:
- Inference/cli: `gtimeout 60` (60s)
- Perplexity: `gtimeout 120` (120s)
- Benchmark: `gtimeout 300` (5min)
- Build: `gtimeout 300` (5min)
A hung test is a test failure. Do not retry without investigating the hang.
### IMPORTANT: llama-cli interactive mode
llama-cli enters interactive REPL after generating, flooding output with `>` prompts. This is NOT a correctness failure — it's the CLI waiting for input.
**Always use `--single-turn` (`-st`) flag to prevent this:**
```bash
gtimeout 60 ./build-build/bin/llama-cli -m ~/.llama/models/Qwen3.5-4B-Q4_0.gguf -n 64 -p "Once upon a time" --temp 0 -s 42 -st
```
Without `-st`, you will see `>` garbage and the process will hang. DO NOT attempt to "fix" the kernel because of this.
## Commit Messages
Format: `[area] short description (max 72 chars)`
@@ -127,23 +77,15 @@ When working autonomously, agents MUST:
2. **Create a branch** for any code change: `feature/<issue-number>-<short-desc>`
3. **Reference the issue** in commits: `[area] description (#123)`
4. **Run benchmarks** before/after kernel changes and record in BENCHMARKS.md
5. **Run perplexity** to verify correctness after any kernel change (with timeout):
```bash
gtimeout 120 ./build-build/bin/llama-perplexity -m MODEL.gguf -f /tmp/coherence_test.txt -t 1 --chunks 1 -c 128
```
6. **Run coherence test** before any merge (with timeout):
```bash
gtimeout 60 ./build-build/bin/llama-cli -m ~/.llama/models/Qwen3.5-4B-Q4_0.gguf -n 64 -p "Once upon a time" --temp 0 -s 42 -st
```
Output must be coherent speech (not gibberish).
7. **Build succeeds** before pushing (with timeout):
```bash
gtimeout 300 cmake --build build-build -j$(sysctl -n hw.ncpu)
```
8. **Push branch** to gitea, then **create PR via Gitea API** (not via git push)
> **NOTE:** macOS has no `timeout` command. Always use `gtimeout` (from `brew install coreutils`).
> **NOTE:** Always use `-st` flag with llama-cli to prevent interactive mode `>` prompts.
5. **Run perplexity** to verify correctness after any kernel change:
```bash
./build-build/bin/llama-perplexity -m MODEL.gguf -f /tmp/coherence_test.txt -t 1 --chunks 1 -c 128
```
6. **Build succeeds** before pushing:
```bash
cmake --build build-build -j$(sysctl -n hw.ncpu)
```
7. **Push branch** to gitea, then **create PR via Gitea API** (not via git push)
## Build
@@ -171,20 +113,6 @@ cmake --build build-build --target llama-eval-callback-profile -j$(sysctl -n hw.
./build-build/bin/llama-perplexity -m MODEL.gguf -f /tmp/coherence_test.txt -t 1 --chunks 1 -c 128
```
## MLX Benchmarking
MLX-lm is the performance target. Models at `~/.omlx/models/`.
```bash
# Quick generation test
mlx_lm.generate --model ~/.omlx/models/Qwen3.6-27B-Q4_0 --prompt "Once upon a time" --max-tokens 128
# Benchmark with timing
time mlx_lm.generate --model ~/.omlx/models/Qwen3.6-27B-Q4_0 --prompt "Once upon a time" --max-tokens 4096
```
Compare llama.cpp results against MLX baselines. Record in BENCHMARKS.md.
## Profiling Tools
| Tool | What it does |
@@ -224,47 +152,19 @@ ANALYSIS_QWEN3_5_MXFP4.md — MXFP4 format analysis
## Gitea API
Base: `https://git.kokoham.com/api/v1`
Token in `~/Documents/personal/projects/.env` as `GITEA_TOKEN`.
Token in `~/.gitea_token` (not committed).
Local API from server: `http://127.0.0.1:18431/api/v1`
```bash
export $(grep -v '^#' ~/Documents/personal/projects/.env | xargs)
# Create issue
curl -X POST "https://git.kokoham.com/api/v1/repos/sleepy/llama.cpp/issues" \
-H "Authorization: token $GITEA_TOKEN" \
curl -X POST "http://127.0.0.1:18431/api/v1/repos/sleepy/llama.cpp/issues" \
-H "Authorization: token $(cat ~/.gitea_token)" \
-H "Content-Type: application/json" \
-d '{"title":"...","body":"...","labels":["perf"]}'
# Create PR
curl -X POST "https://git.kokoham.com/api/v1/repos/sleepy/llama.cpp/pulls" \
-H "Authorization: token $GITEA_TOKEN" \
curl -X POST "http://127.0.0.1:18431/api/v1/repos/sleepy/llama.cpp/pulls" \
-H "Authorization: token $(cat ~/.gitea_token)" \
-H "Content-Type: application/json" \
-d '{"title":"...","body":"...","head":"feature/xyz","base":"master"}'
# Comment on issue/PR
curl -X POST "https://git.kokoham.com/api/v1/repos/sleepy/llama.cpp/issues/{number}/comments" \
-H "Authorization: token $GITEA_TOKEN" \
-H "Content-Type: application/json" \
-d '{"body":"..."}'
# Close issue
curl -X PATCH "https://git.kokoham.com/api/v1/repos/sleepy/llama.cpp/issues/{number}" \
-H "Authorization: token $GITEA_TOKEN" \
-H "Content-Type: application/json" \
-d '{"state":"closed"}'
# Merge PR
curl -X POST "https://git.kokoham.com/api/v1/repos/sleepy/llama.cpp/pulls/{number}/merge" \
-H "Authorization: token $GITEA_TOKEN" \
-H "Content-Type: application/json" \
-d '{"do_force_merge":false,"merge_title":"..."}'
```
## Onboarding — What to Read
For new agents or sessions, read in this order:
1. **GIT.md** — this file (workflow, tests, commands, file locations)
2. **BENCHMARKS.md** — all benchmark results, track progress toward 22 t/s
3. **ANALYSIS_QWEN3_5_MXFP4.md** — MXFP4 format analysis (if relevant)
4. **Issue #40** — target t/s goal and MLX comparison guidelines
5. **MLX reference**: `../mlx-lm/mlx/include/mlx/backend/metal/kernels/quantized.h` — qmv_fast_impl
+3 -1
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@@ -732,6 +732,7 @@ ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_mul_mv(ggml_meta
int nr1 = 1; // number of src1 rows per threadgroup
size_t smem = 0; // shared memory
bool contig = false;
const ggml_type tsrc0 = op->src[0]->type;
const ggml_type tsrc1 = op->src[1]->type;
@@ -766,6 +767,7 @@ ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_mul_mv(ggml_meta
{
nsg = N_SG_Q4_0;
nr0 = N_R0_Q4_0;
contig = ne00 >= 256;
} break;
case GGML_TYPE_Q4_1:
{
@@ -877,7 +879,7 @@ ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_mul_mv(ggml_meta
}
};
snprintf(base, 256, "kernel_mul_mv_%s_%s%s", ggml_type_name(tsrc0), ggml_type_name(tsrc1), suffix);
snprintf(base, 256, "kernel_mul_mv_%s_%s%s%s", ggml_type_name(tsrc0), ggml_type_name(tsrc1), contig ? "_c" : "", suffix);
snprintf(name, 256, "%s_nsg=%d", base, nsg);
ggml_metal_pipeline_with_params res = ggml_metal_library_get_pipeline(lib, name);
+88
View File
@@ -3533,6 +3533,94 @@ kernel void kernel_mul_mv_q4_0_f32(
mul_vec_q_n_f32_impl<block_q4_0, N_R0_Q4_0, constant ggml_metal_kargs_mul_mv &>(args, src0, src1, dst, shmem, tgpig, tiisg, sgitg);
}
// Q4_0 kernel with contiguous uint32_t weight reads (MLX-style)
// Each thread reads 4 contiguous uint32_t packs per block instead of
// 8 strided uint16_t reads, improving memory coalescing on Apple GPUs.
kernel void kernel_mul_mv_q4_0_f32_c(
constant ggml_metal_kargs_mul_mv & args,
device const char * src0,
device const char * src1,
device char * dst,
threadgroup char * shmem [[threadgroup(0)]],
uint3 tgpig[[threadgroup_position_in_grid]],
ushort tiisg[[thread_index_in_simdgroup]],
ushort sgitg[[simdgroup_index_in_threadgroup]]) {
const short NSG = FC_mul_mv_nsg;
constexpr short NR0 = N_R0_Q4_0;
constexpr short NW = N_SIMDWIDTH;
const int nb = args.ne00 / QK4_0;
const int r0 = (tgpig.x * NSG + sgitg) * NR0;
const int r1 = tgpig.y;
const int im = tgpig.z;
const uint i12 = im % args.ne12;
const uint i13 = im / args.ne12;
const uint64_t offset1 = r1 * args.nb11 + (i12) * args.nb12 + (i13) * args.nb13;
device const float * y = (device const float *) (src1 + offset1);
device const block_q4_0 * ax[NR0];
FOR_UNROLL (int row = 0; row < NR0; ++row) {
const uint64_t offset0 = (r0 + row) * args.nb01 + (i12 / args.r2) * args.nb02 + (i13 / args.r3) * args.nb03;
ax[row] = (device const block_q4_0 *) ((device char *) src0 + offset0);
}
float sumf[NR0] = {0.f};
const short ix = (tiisg / (NW / 16));
const short il = (tiisg % (NW / 16)) * 8;
const int ib0 = ix;
const uint q_off = il / 8;
device const float * yb = y + ib0 * QK4_0 + il;
for (int ib = ib0; ib < nb; ib += 16) {
float sumy = 0.f;
FOR_UNROLL (short i = 0; i < 8; i += 2) {
sumy += yb[i + 0] + yb[i + 1] + yb[i + 16] + yb[i + 17];
}
FOR_UNROLL (short row = 0; row < NR0; row++) {
const float d = ax[row][ib].d;
device const uint32_t * qs = (device const uint32_t *) (ax[row][ib].qs);
const uint32_t q0 = qs[q_off];
const uint32_t q1 = qs[q_off + 2];
float acc = 0.f;
FOR_UNROLL (short i = 0; i < 8; i += 2) {
const uint ni = i / 2;
acc += ((q0 >> (4 * ni)) & 0xF) * yb[i + 0]
+ ((q0 >> (4 * (ni + 1))) & 0xF) * yb[i + 1]
+ ((q1 >> (4 * ni)) & 0xF) * yb[i + 16]
+ ((q1 >> (4 * (ni + 1))) & 0xF) * yb[i + 17];
}
sumf[row] += d * (acc + sumy * -8.f);
}
yb += QK4_0 * 16;
}
device float * dst_f32 = (device float *) dst + im * args.ne0 * args.ne1 + r1 * args.ne0;
for (int row = 0; row < NR0; ++row) {
const float tot = simd_sum(sumf[row]);
if (tiisg == 0 && r0 + row < args.ne01) {
dst_f32[r0 + row] = tot;
}
}
}
kernel void kernel_mul_mv_q4_1_f32(
constant ggml_metal_kargs_mul_mv & args,
device const char * src0,