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

Cargo.lock

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

proto/generate.proto

@@ -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 {

router/Cargo.toml

@@ -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"

router/src/db.rs

@@ -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(),
         }
     }
 }

router/src/validation.rs

@@ -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) => {

server/pyproject.toml

@@ -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"

server/text_generation/models/bloom.py

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

server/text_generation/models/galactica.py

@@ -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
 

server/text_generation/utils.py

@@ -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),
         )