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Running
on
Zero
File size: 2,155 Bytes
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# Copyright (c) Meta Platforms, Inc. and affiliates
#
# This source code is licensed under the Chameleon License found in the
# LICENSE file in the root directory of this source tree.
import hydra
import torch
from omegaconf import DictConfig
from chameleon.inference import loader
from chameleon.viewer.backend.models.chameleon_distributed import (
ChameleonDistributedGenerator,
)
from chameleon.viewer.backend.models.chameleon_local import ChameleonLocalGenerator
from chameleon.viewer.backend.models.service import serve
from chameleon.viewer.backend.utils import configure_rich_logging, get_logger
logger = get_logger(__name__)
VERSION = "2.0"
SEED = 42
def create_chameleon_generator(cfg: DictConfig):
world_size = loader.detect_shard_count(cfg.model_path)
if world_size > 1:
torch.multiprocessing.set_start_method("spawn")
generator = ChameleonDistributedGenerator(
model_path=cfg.model_path,
tokenizer_path=cfg.tokenizer_path,
vqgan_config_path=cfg.vqgan_config_path,
vqgan_ckpt_path=cfg.vqgan_ckpt_path,
additional_eos_tokens=cfg.additional_eos_tokens,
world_size=world_size,
master_address=cfg.distributed.master_address,
master_port=cfg.distributed.master_port,
redis_port=cfg.redis_port,
)
else:
generator = ChameleonLocalGenerator(
model_path=cfg.model_path,
tokenizer_path=cfg.tokenizer_path,
vqgan_config_path=cfg.vqgan_config_path,
vqgan_ckpt_path=cfg.vqgan_ckpt_path,
additional_eos_tokens=cfg.additional_eos_tokens,
)
return generator
@hydra.main("../../../config", config_name="model_viewer", version_base="1.3.2")
def main(cfg: DictConfig) -> None:
configure_rich_logging()
torch.set_default_tensor_type("torch.cuda.FloatTensor")
logger.info("Starting viewer server with hydra cfg: %s", cfg)
serve(
create_chameleon_generator(cfg),
cfg.host,
cfg.port,
debug=cfg.debug,
redis_port=cfg.redis_port,
)
if __name__ == "__main__":
main()
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