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fix(server): fix seeding with multiple shards (#44)

This commit is contained in:
OlivierDehaene 2023-01-31 16:01:15 +01:00 committed by GitHub
parent 03bdf18290
commit 54fec93193
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GPG Key ID: 4AEE18F83AFDEB23
10 changed files with 91 additions and 86 deletions
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1
Cargo.lock generated
View File

@ -1834,6 +1834,7 @@ dependencies = [
"futures",
"nohash-hasher",
"parking_lot",
"rand",
"serde",
"serde_json",
"text-generation-client",

2
proto/generate.proto
View File

@ -37,7 +37,7 @@ message NextTokenChooserParameters {
/// apply sampling on the logits
bool do_sample = 4;
/// random seed for sampling
optional uint64 seed = 5;
uint64 seed = 5;
}
message StoppingCriteriaParameters {

1
router/Cargo.toml
View File

@ -19,6 +19,7 @@ clap = { version = "4.0.15", features = ["derive", "env"] }
futures = "0.3.24"
nohash-hasher = "0.2.0"
parking_lot = "0.12.1"
rand = "0.8.5"
serde = "1.0.145"
serde_json = "1.0.85"
thiserror = "1.0.37"

3
router/src/db.rs
View File

@ -166,7 +166,8 @@ impl From<&GenerateParameters> for NextTokenChooserParameters {
top_k: parameters.top_k as u32,
top_p: parameters.top_p,
do_sample: parameters.do_sample,
seed: parameters.seed,
// FIXME: remove unwrap
seed: parameters.seed.unwrap(),
}
}
}

15
router/src/validation.rs
View File

@ -2,6 +2,8 @@
use crate::{ErrorResponse, GenerateRequest};
use axum::http::StatusCode;
use axum::Json;
use rand::rngs::ThreadRng;
use rand::Rng;
use thiserror::Error;
use tokenizers::tokenizer::Tokenizer;
use tokio::sync::{mpsc, oneshot};
@ -92,18 +94,22 @@ fn validation_worker(
max_input_length: usize,
mut receiver: mpsc::Receiver<ValidationRequest>,
) {
// Seed rng
let mut rng = rand::thread_rng();
// Loop over requests
while let Some((request, response_tx)) = receiver.blocking_recv() {
response_tx
.send(validate(request, &tokenizer, max_input_length))
.send(validate(request, &tokenizer, max_input_length, &mut rng))
.unwrap_or(())
}
}
fn validate(
request: GenerateRequest,
mut request: GenerateRequest,
tokenizer: &Tokenizer,
max_input_length: usize,
rng: &mut ThreadRng,
) -> Result<(usize, GenerateRequest), ValidationError> {
if request.parameters.temperature <= 0.0 {
return Err(ValidationError::Temperature);
@ -124,6 +130,11 @@ fn validate(
));
}
// If seed is None, assign a random one
if request.parameters.seed.is_none() {
request.parameters.seed = Some(rng.gen());
}
// Get the number of tokens in the input
match tokenizer.encode(request.inputs.clone(), true) {
Ok(inputs) => {

132
server/poetry.lock generated
View File

@ -1,6 +1,6 @@
[[package]]
name = "accelerate"
version = "0.12.0"
version = "0.15.0"
description = "Accelerate"
category = "main"
optional = false
@ -14,13 +14,14 @@ pyyaml = "*"
torch = ">=1.4.0"
[package.extras]
dev = ["black (>=22.0,<23.0)", "datasets", "deepspeed (<0.7.0)", "evaluate", "flake8 (>=3.8.3)", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "parameterized", "pytest", "pytest-subtests", "pytest-xdist", "scipy", "sklearn", "tqdm", "transformers"]
dev = ["black (>=22.0,<23.0)", "datasets", "deepspeed (<0.7.0)", "evaluate", "flake8 (>=3.8.3)", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "parameterized", "pytest", "pytest-subtests", "pytest-xdist", "rich", "scikit-learn", "scipy", "tqdm", "transformers"]
quality = ["black (>=22.0,<23.0)", "flake8 (>=3.8.3)", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)"]
rich = ["rich"]
sagemaker = ["sagemaker"]
test_dev = ["datasets", "deepspeed (<0.7.0)", "evaluate", "scipy", "sklearn", "tqdm", "transformers"]
test_dev = ["datasets", "deepspeed (<0.7.0)", "evaluate", "scikit-learn", "scipy", "tqdm", "transformers"]
test_prod = ["parameterized", "pytest", "pytest-subtests", "pytest-xdist"]
test_trackers = ["comet-ml", "tensorboard", "wandb"]
testing = ["datasets", "deepspeed (<0.7.0)", "evaluate", "parameterized", "pytest", "pytest-subtests", "pytest-xdist", "scipy", "sklearn", "tqdm", "transformers"]
testing = ["datasets", "deepspeed (<0.7.0)", "evaluate", "parameterized", "pytest", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "tqdm", "transformers"]
[[package]]
name = "attrs"
@ -78,7 +79,7 @@ test = ["pytest (>=6)"]
[[package]]
name = "googleapis-common-protos"
version = "1.57.0"
version = "1.58.0"
description = "Common protobufs used in Google APIs"
category = "main"
optional = false
@ -155,11 +156,11 @@ setuptools = "*"
[[package]]
name = "iniconfig"
version = "1.1.1"
description = "iniconfig: brain-dead simple config-ini parsing"
version = "2.0.0"
description = "brain-dead simple config-ini parsing"
category = "dev"
optional = false
python-versions = "*"
python-versions = ">=3.7"
[[package]]
name = "loguru"
@ -234,7 +235,7 @@ wheel = "*"
[[package]]
name = "packaging"
version = "22.0"
version = "23.0"
description = "Core utilities for Python packages"
category = "main"
optional = false
@ -273,7 +274,7 @@ test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"]
[[package]]
name = "pytest"
version = "7.2.0"
version = "7.2.1"
description = "pytest: simple powerful testing with Python"
category = "dev"
optional = false
@ -301,7 +302,7 @@ python-versions = ">=3.6"
[[package]]
name = "safetensors"
version = "0.2.7"
version = "0.2.8"
description = "Fast and Safe Tensor serialization"
category = "main"
optional = false
@ -319,14 +320,14 @@ torch = ["torch"]
[[package]]
name = "setuptools"
version = "65.6.3"
version = "67.0.0"
description = "Easily download, build, install, upgrade, and uninstall Python packages"
category = "main"
optional = false
python-versions = ">=3.7"
[package.extras]
docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-hoverxref (<2)", "sphinx-inline-tabs", "sphinx-notfound-page (==0.8.3)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-hoverxref (<2)", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (==0.8.3)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8 (<5)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pip-run (>=8.8)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
testing-integration = ["build[virtualenv]", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
@ -409,12 +410,12 @@ bnb = ["bitsandbytes"]
[metadata]
lock-version = "1.1"
python-versions = "^3.9"
content-hash = "bc59a70e1e112ce2e173289c0c5285121550511236d4866f0053ae18f90c98aa"
content-hash = "c920067f39ade631d1022c0560c3a4336c82d8c28355509bdfff751bbcfc01cd"
[metadata.files]
accelerate = [
{file = "accelerate-0.12.0-py3-none-any.whl", hash = "sha256:7742ca5c9f15dd1e0a283305599c196e260af4717a561d1f544aeab27d828af6"},
{file = "accelerate-0.12.0.tar.gz", hash = "sha256:e8b119c94fac31877620d5f9de311164ec81fa9dc9e175f0d0d4f50fc8d79473"},
{file = "accelerate-0.15.0-py3-none-any.whl", hash = "sha256:014833307424cd0a22f89815802e00653756257c45dfdba2453e52d428931c65"},
{file = "accelerate-0.15.0.tar.gz", hash = "sha256:438e25a01afa6e3ffbd25353e76a68be49677c3050f10bfac7beafaf53503efc"},
]
attrs = [
{file = "attrs-22.2.0-py3-none-any.whl", hash = "sha256:29e95c7f6778868dbd49170f98f8818f78f3dc5e0e37c0b1f474e3561b240836"},
@ -437,8 +438,8 @@ exceptiongroup = [
{file = "exceptiongroup-1.1.0.tar.gz", hash = "sha256:bcb67d800a4497e1b404c2dd44fca47d3b7a5e5433dbab67f96c1a685cdfdf23"},
]
googleapis-common-protos = [
{file = "googleapis-common-protos-1.57.0.tar.gz", hash = "sha256:27a849d6205838fb6cc3c1c21cb9800707a661bb21c6ce7fb13e99eb1f8a0c46"},
{file = "googleapis_common_protos-1.57.0-py2.py3-none-any.whl", hash = "sha256:a9f4a1d7f6d9809657b7f1316a1aa527f6664891531bcfcc13b6696e685f443c"},
{file = "googleapis-common-protos-1.58.0.tar.gz", hash = "sha256:c727251ec025947d545184ba17e3578840fc3a24a0516a020479edab660457df"},
{file = "googleapis_common_protos-1.58.0-py2.py3-none-any.whl", hash = "sha256:ca3befcd4580dab6ad49356b46bf165bb68ff4b32389f028f1abd7c10ab9519a"},
]
grpc-interceptor = [
{file = "grpc-interceptor-0.15.0.tar.gz", hash = "sha256:5c1aa9680b1d7e12259960c38057b121826860b05ebbc1001c74343b7ad1455e"},
@ -547,8 +548,8 @@ grpcio-tools = [
{file = "grpcio_tools-1.51.1-cp39-cp39-win_amd64.whl", hash = "sha256:15b8acf4eaa0ebe37e2f69108de49efd935b7abe9c7e58ba737490b99906aa76"},
]
iniconfig = [
{file = "iniconfig-1.1.1-py2.py3-none-any.whl", hash = "sha256:011e24c64b7f47f6ebd835bb12a743f2fbe9a26d4cecaa7f53bc4f35ee9da8b3"},
{file = "iniconfig-1.1.1.tar.gz", hash = "sha256:bc3af051d7d14b2ee5ef9969666def0cd1a000e121eaea580d4a313df4b37f32"},
{file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
{file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
]
loguru = [
{file = "loguru-0.6.0-py3-none-any.whl", hash = "sha256:4e2414d534a2ab57573365b3e6d0234dfb1d84b68b7f3b948e6fb743860a77c3"},
@ -602,8 +603,8 @@ nvidia-cudnn-cu11 = [
{file = "nvidia_cudnn_cu11-8.5.0.96-py3-none-manylinux1_x86_64.whl", hash = "sha256:71f8111eb830879ff2836db3cccf03bbd735df9b0d17cd93761732ac50a8a108"},
]
packaging = [
{file = "packaging-22.0-py3-none-any.whl", hash = "sha256:957e2148ba0e1a3b282772e791ef1d8083648bc131c8ab0c1feba110ce1146c3"},
{file = "packaging-22.0.tar.gz", hash = "sha256:2198ec20bd4c017b8f9717e00f0c8714076fc2fd93816750ab48e2c41de2cfd3"},
{file = "packaging-23.0-py3-none-any.whl", hash = "sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2"},
{file = "packaging-23.0.tar.gz", hash = "sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97"},
]
pluggy = [
{file = "pluggy-1.0.0-py2.py3-none-any.whl", hash = "sha256:74134bbf457f031a36d68416e1509f34bd5ccc019f0bcc952c7b909d06b37bd3"},
@ -642,8 +643,8 @@ psutil = [
{file = "psutil-5.9.4.tar.gz", hash = "sha256:3d7f9739eb435d4b1338944abe23f49584bde5395f27487d2ee25ad9a8774a62"},
]
pytest = [
{file = "pytest-7.2.0-py3-none-any.whl", hash = "sha256:892f933d339f068883b6fd5a459f03d85bfcb355e4981e146d2c7616c21fef71"},
{file = "pytest-7.2.0.tar.gz", hash = "sha256:c4014eb40e10f11f355ad4e3c2fb2c6c6d1919c73f3b5a433de4708202cade59"},
{file = "pytest-7.2.1-py3-none-any.whl", hash = "sha256:c7c6ca206e93355074ae32f7403e8ea12163b1163c976fee7d4d84027c162be5"},
{file = "pytest-7.2.1.tar.gz", hash = "sha256:d45e0952f3727241918b8fd0f376f5ff6b301cc0777c6f9a556935c92d8a7d42"},
]
PyYAML = [
{file = "PyYAML-6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d4db7c7aef085872ef65a8fd7d6d09a14ae91f691dec3e87ee5ee0539d516f53"},
@ -688,49 +689,50 @@ PyYAML = [
{file = "PyYAML-6.0.tar.gz", hash = "sha256:68fb519c14306fec9720a2a5b45bc9f0c8d1b9c72adf45c37baedfcd949c35a2"},
]
safetensors = [
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2
server/pyproject.toml
View File

@ -15,7 +15,7 @@ grpcio-status = "^1.51.1"
grpcio-reflection = "^1.51.1"
grpc-interceptor = "^0.15.0"
typer = "^0.6.1"
accelerate = "^0.12.0"
accelerate = "^0.15.0"
bitsandbytes = "^0.35.1"
safetensors = "^0.2.4"
loguru = "^0.6.0"

2
server/text_generation/models/bloom.py
View File

@ -33,8 +33,6 @@ try:
except Exception as e:
HAS_BITS_AND_BYTES = False
torch.manual_seed(0)
class BloomCausalLMBatch(CausalLMBatch):
@classmethod

1
server/text_generation/models/galactica.py
View File

@ -36,7 +36,6 @@ try:
except Exception as e:
HAS_BITS_AND_BYTES = False
torch.manual_seed(0)
# CREDIT: Papers with code => https://github.com/paperswithcode/galai/blob/main/galai/utils.py

16
server/text_generation/utils.py
View File

@ -24,12 +24,10 @@ from text_generation.pb import generate_pb2
class Sampling:
def __init__(self, seed: Optional[int] = None, device: str = "cpu"):
def __init__(self, seed: int, device: str = "cpu"):
self.generator = torch.Generator(device)
if seed is not None:
self.generator.manual_seed(seed)
else:
self.generator.seed()
self.seed = seed
def __call__(self, logits):
probs = torch.nn.functional.softmax(logits, dim=-1)
@ -38,10 +36,6 @@ class Sampling:
).squeeze(1)
return next_tokens
@property
def seed(self) -> int:
return self.generator.initial_seed()
class Greedy:
def __call__(self, logits):
@ -55,7 +49,7 @@ class NextTokenChooser:
top_k=None,
top_p=None,
do_sample=False,
seed=None,
seed=0,
device="cpu",
):
warpers = LogitsProcessorList()
@ -89,14 +83,12 @@ class NextTokenChooser:
def from_pb(
cls, pb: generate_pb2.NextTokenChooserParameters, device: torch.device
) -> "NextTokenChooser":
# handle protobuf making default values 0
seed = pb.seed if pb.HasField("seed") else None
return NextTokenChooser(
temperature=pb.temperature,
top_k=pb.top_k,
top_p=pb.top_p,
do_sample=pb.do_sample,
seed=seed,
seed=pb.seed,
device=str(device),
)