-
-
Notifications
You must be signed in to change notification settings - Fork 5.1k
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
Showing
4 changed files
with
110 additions
and
2 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,96 @@ | ||
# Copyright (c) Meta Platforms, Inc. and affiliates. | ||
# This software may be used and distributed according to the terms of the GNU General Public License version 3. | ||
|
||
import json | ||
import os | ||
import sys | ||
import time | ||
from pathlib import Path | ||
from typing import Tuple | ||
|
||
import fire | ||
import torch | ||
from fairscale.nn.model_parallel.initialize import initialize_model_parallel | ||
from llama import LLaMA, ModelArgs, Tokenizer, Transformer | ||
|
||
os.environ['RANK'] = '0' | ||
os.environ['WORLD_SIZE'] = '1' | ||
os.environ['MP'] = '1' | ||
os.environ['MASTER_ADDR'] = '127.0.0.1' | ||
os.environ['MASTER_PORT'] = '2223' | ||
|
||
def setup_model_parallel() -> Tuple[int, int]: | ||
local_rank = int(os.environ.get("LOCAL_RANK", -1)) | ||
world_size = int(os.environ.get("WORLD_SIZE", -1)) | ||
|
||
torch.distributed.init_process_group("gloo") | ||
initialize_model_parallel(world_size) | ||
torch.cuda.set_device(local_rank) | ||
|
||
# seed must be the same in all processes | ||
torch.manual_seed(1) | ||
return local_rank, world_size | ||
|
||
def load( | ||
ckpt_dir: str, | ||
tokenizer_path: str, | ||
local_rank: int, | ||
world_size: int, | ||
max_seq_len: int, | ||
max_batch_size: int, | ||
) -> LLaMA: | ||
start_time = time.time() | ||
checkpoints = sorted(Path(ckpt_dir).glob("*.pth")) | ||
assert world_size == len( | ||
checkpoints | ||
), f"Loading a checkpoint for MP={len(checkpoints)} but world size is {world_size}" | ||
ckpt_path = checkpoints[local_rank] | ||
print("Loading") | ||
checkpoint = torch.load(ckpt_path, map_location="cpu") | ||
with open(Path(ckpt_dir) / "params.json", "r") as f: | ||
params = json.loads(f.read()) | ||
|
||
model_args: ModelArgs = ModelArgs( | ||
max_seq_len=max_seq_len, max_batch_size=max_batch_size, **params | ||
) | ||
tokenizer = Tokenizer(model_path=tokenizer_path) | ||
model_args.vocab_size = tokenizer.n_words | ||
torch.set_default_tensor_type(torch.cuda.HalfTensor) | ||
model = Transformer(model_args) | ||
torch.set_default_tensor_type(torch.FloatTensor) | ||
model.load_state_dict(checkpoint, strict=False) | ||
|
||
generator = LLaMA(model, tokenizer) | ||
print(f"Loaded in {time.time() - start_time:.2f} seconds") | ||
return generator | ||
|
||
|
||
class LLaMAModel: | ||
def __init__(self): | ||
pass | ||
|
||
@classmethod | ||
def from_pretrained(self, path, max_seq_len=512, max_batch_size=32): | ||
This comment has been minimized.
Sorry, something went wrong.
This comment has been minimized.
Sorry, something went wrong.
oobabooga
Author
Owner
|
||
tokenizer_path = path / "tokenizer.model" | ||
path = os.path.abspath(path) | ||
tokenizer_path = os.path.abspath(tokenizer_path) | ||
|
||
local_rank, world_size = setup_model_parallel() | ||
if local_rank > 0: | ||
sys.stdout = open(os.devnull, "w") | ||
|
||
generator = load( | ||
path, tokenizer_path, local_rank, world_size, max_seq_len, max_batch_size | ||
) | ||
|
||
result = self() | ||
result.pipeline = generator | ||
return result | ||
|
||
def generate(self, prompt, token_count=512, temperature=0.8, top_p=0.95): | ||
|
||
results = self.pipeline.generate( | ||
[prompt], max_gen_len=token_count, temperature=temperature, top_p=top_p | ||
) | ||
|
||
return results[0] |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
2 comments
on commit ea5c5eb
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Wow that was fast
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Cheers!!
max_batch_size is better reduced, maybe even to 1, because webui does not work in batch mode, and this setting higher than 1 just wastes memory.