vbatts/llama.cpp
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llama : add pipeline parallelism support (#6017)

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* llama : add pipeline parallelism support for batch processing with multiple CUDA GPUs

ggml-ci

* server : add -ub, --ubatch-size parameter

* fix server embedding test

* llama : fix Mamba inference for pipeline parallelism

Tested to work correctly with both `main` and `parallel` examples.

* llama : limit max batch size to n_batch

* add LLAMA_SCHED_MAX_COPIES to configure the number of input copies for pipeline parallelism
default increase to 4 (from 2)

changing this value may improve performance for some systems, but increases memory usage

* fix hip build

* fix sycl build (disable cpy_tensor_async)

* fix hip build

* llama : limit n_batch and n_ubatch to n_ctx during context creation

* llama : fix norm backend

* batched-bench : sync after decode

* swiftui : sync after decode

* ggml : allow ggml_get_rows to use multiple threads if they are available

* check n_ubatch >= n_tokens with non-casual attention

* llama : do not limit n_batch to n_ctx with non-casual attn

* server : construct batch with size of llama_n_batch

* ggml_backend_cpu_graph_compute : fix return value when alloc fails

* llama : better n_batch and n_ubatch comment

* fix merge

* small fix

* reduce default n_batch to 2048

---------

Co-authored-by: Francis Couture-Harpin <git@compilade.net>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
This commit is contained in:
slaren 2024-03-13 18:54:21 +01:00 • committed by GitHub
parent d8fd0ccf6a
commit f30ea47a87
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25 changed files with 1467 additions and 887 deletions
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1
examples/server/tests/features/embeddings.feature
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@ -9,6 +9,7 @@ Feature: llama.cpp server
And 42 as server seed
And 2 slots
And 1024 as batch size
And 1024 as ubatch size
And 2048 KV cache size
And embeddings extraction
Then the server is starting

8
examples/server/tests/features/steps/steps.py
View file

@ -33,6 +33,7 @@ def step_server_config(context, server_fqdn, server_port):
context.model_alias = None
context.n_batch = None
context.n_ubatch = None
context.n_ctx = None
context.n_ga = None
context.n_ga_w = None
@ -278,6 +279,11 @@ def step_n_batch(context, n_batch):
context.n_batch = n_batch
@step('{n_ubatch:d} as ubatch size')
def step_n_ubatch(context, n_ubatch):
context.n_ubatch = n_ubatch
@step('{seed:d} as seed')
def step_seed(context, seed):
context.seed = seed
@ -1029,6 +1035,8 @@ def start_server_background(context):
]
if context.n_batch:
server_args.extend(['--batch-size', context.n_batch])
if context.n_ubatch:
server_args.extend(['--ubatch-size', context.n_ubatch])
if context.n_gpu_layer:
server_args.extend(['--n-gpu-layers', context.n_gpu_layer])
if context.server_continuous_batching: