ggml : fix AMX and add batched support (#19925)

llama-perplexity -hf ggml-org/Qwen3-0.6B-GGUF:Q4_0 -f wikitext-2-raw/wiki.test.raw -c 2048 -b 2048 --chunks 2

before this commit:

```
perplexity: calculating perplexity over 2 chunks, n_ctx=2048, batch_size=2048, n_seq=1
perplexity: 2.31 seconds per pass - ETA 0.07 minutes
[1]17.3868,[2]22.2199,
Final estimate: PPL = 22.2199 +/- 1.59692

llama_perf_context_print:        load time =     878.56 ms
llama_perf_context_print: prompt eval time =    2037.82 ms /  4096 tokens (    0.50 ms per token,  2009.99 tokens per second)
llama_perf_context_print:        eval time =       0.00 ms /     1 runs   (    0.00 ms per token,      inf tokens per second)
llama_perf_context_print:       total time =    6403.17 ms /  4097 tokens
llama_perf_context_print:    graphs reused =          0
llama_memory_breakdown_print: | memory breakdown [MiB] | total   free    self   model   context   compute    unaccounted |
llama_memory_breakdown_print: |   - Host               |                  845 =   318 +     224 +     302                |
llama_memory_breakdown_print: |   - CPU_REPACK         |                  288 =   288 +       0 +       0                |
llama_memory_breakdown_print: |   - AMX                |                   31 =    31 +       0 +       0                |
```

after this commit:

```
perplexity: calculating perplexity over 2 chunks, n_ctx=2048, batch_size=2048, n_seq=1
perplexity: 1.98 seconds per pass - ETA 0.05 minutes
[1]17.2005,[2]21.8220,
Final estimate: PPL = 21.8220 +/- 1.56485

llama_perf_context_print:        load time =     719.23 ms
llama_perf_context_print: prompt eval time =    1676.23 ms /  4096 tokens (    0.41 ms per token,  2443.58 tokens per second)
llama_perf_context_print:        eval time =       0.00 ms /     1 runs   (    0.00 ms per token,      inf tokens per second)
llama_perf_context_print:       total time =    4258.74 ms /  4097 tokens
llama_perf_context_print:    graphs reused =          0
llama_memory_breakdown_print: | memory breakdown [MiB] | total   free    self   model   context   compute    unaccounted |
llama_memory_breakdown_print: |   - Host               |                  845 =   318 +     224 +     302                |
llama_memory_breakdown_print: |   - AMX                |                  319 =   319 +       0 +       0                |
```
(no more CPU_REPACK)

after this commit, disabling amx:

```
perplexity: calculating perplexity over 2 chunks, n_ctx=2048, batch_size=2048, n_seq=1
perplexity: 2.34 seconds per pass - ETA 0.07 minutes
[1]17.2005,[2]21.8220,
Final estimate: PPL = 21.8220 +/- 1.56485

llama_perf_context_print:        load time =     841.91 ms
llama_perf_context_print: prompt eval time =    2057.28 ms /  4096 tokens (    0.50 ms per token,  1990.98 tokens per second)
llama_perf_context_print:        eval time =       0.00 ms /     1 runs   (    0.00 ms per token,      inf tokens per second)
llama_perf_context_print:       total time =    6454.51 ms /  4097 tokens
llama_perf_context_print:    graphs reused =          0
llama_memory_breakdown_print: | memory breakdown [MiB] | total   free    self   model   context   compute    unaccounted |
llama_memory_breakdown_print: |   - Host               |                  845 =   318 +     224 +     302                |
llama_memory_breakdown_print: |   - CPU_REPACK         |                  319 =   319 +       0 +       0                |
```
=> same perplexity.

Signed-off-by: Adrien Gallouët <angt@huggingface.co>
This commit is contained in:
Adrien Gallouët
2026-02-26 21:39:11 +01:00
committed by GitHub
parent 723c71064d
commit 4e76d24f28
2 changed files with 124 additions and 101 deletions
+43 -20
View File
@@ -141,27 +141,50 @@ static size_t ggml_backend_amx_buffer_type_get_alignment(ggml_backend_buffer_typ
namespace ggml::cpu::amx {
class extra_buffer_type : ggml::cpu::extra_buffer_type {
bool supports_op(ggml_backend_dev_t, const struct ggml_tensor * op) override {
// handle only 2d gemm for now
auto is_contiguous_2d = [](const struct ggml_tensor * t) {
return ggml_is_contiguous(t) && t->ne[3] == 1 && t->ne[2] == 1;
};
if (op->op == GGML_OP_MUL_MAT && is_contiguous_2d(op->src[0]) && // src0 must be contiguous
is_contiguous_2d(op->src[1]) && // src1 must be contiguous
op->src[0]->buffer && op->src[0]->buffer->buft == ggml_backend_amx_buffer_type() &&
op->src[0]->ne[0] % (TILE_K * 2 * 32) == 0 && // TODO: not sure if correct (https://github.com/ggml-org/llama.cpp/pull/16315)
op->ne[0] % (TILE_N * 2) == 0 && // out_features is 32x
(qtype_has_amx_kernels(op->src[0]->type) || (op->src[0]->type == GGML_TYPE_F16))) {
// src1 must be host buffer
if (op->src[1]->buffer && !ggml_backend_buft_is_host(op->src[1]->buffer->buft)) {
return false;
}
// src1 must be float32
if (op->src[1]->type == GGML_TYPE_F32) {
return true;
}
if (op->op != GGML_OP_MUL_MAT) {
return false;
}
return false;
auto * src0 = op->src[0];
auto * src1 = op->src[1];
if (!ggml_is_contiguous(src0) || !ggml_is_contiguous(src1)) {
return false;
}
if (!src0->buffer || src0->buffer->buft != ggml_backend_amx_buffer_type()) {
return false;
}
if (src1->buffer && !ggml_backend_buft_is_host(src1->buffer->buft)) {
return false;
}
if (op->ne[0] % (TILE_N * 2)) {
return false;
}
int alignment;
switch (src0->type) {
case GGML_TYPE_Q4_0:
case GGML_TYPE_Q4_1:
case GGML_TYPE_Q8_0:
alignment = TILE_K;
break;
case GGML_TYPE_Q4_K:
case GGML_TYPE_Q5_K:
case GGML_TYPE_Q6_K:
case GGML_TYPE_IQ4_XS:
alignment = 256; // QK_K
break;
case GGML_TYPE_F16:
alignment = 16;
break;
default:
return false;
}
if (src0->ne[0] % alignment) {
return false;
}
if (src1->type != GGML_TYPE_F32) {
return false;
}
return true;
}
ggml::cpu::tensor_traits * get_tensor_traits(const struct ggml_tensor * op) override {