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Replace wandb initialization with get_wandb function
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@ -19,11 +19,12 @@ torchrun --standalone --nproc_per_node=8 -m scripts.chat_rl -- --run=default
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import os
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import os
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import itertools
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import itertools
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import re
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import re
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import wandb
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import torch
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import torch
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import torch.distributed as dist
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import torch.distributed as dist
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from nanochat.common import compute_init, compute_cleanup, print0, get_base_dir, DummyWandb
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from nanochat.common import compute_init, compute_cleanup, print0, get_base_dir, get_wandb
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from nanochat.checkpoint_manager import save_checkpoint, load_model
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from nanochat.checkpoint_manager import save_checkpoint, load_model
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from nanochat.engine import Engine
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from nanochat.engine import Engine
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from tasks.gsm8k import GSM8K
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from tasks.gsm8k import GSM8K
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@ -60,8 +61,7 @@ dtype = torch.float32 if dtype == 'float32' else torch.bfloat16
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autocast_ctx = torch.amp.autocast(device_type="cuda", dtype=dtype)
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autocast_ctx = torch.amp.autocast(device_type="cuda", dtype=dtype)
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# wandb logging init
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# wandb logging init
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use_dummy_wandb = run == "dummy" or not master_process
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wandb_run = get_wandb("nanochat-rl" , run=run, master_process=master_process, user_config=user_config)
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wandb_run = DummyWandb() if use_dummy_wandb else wandb.init(project="nanochat-rl", name=run, config=user_config)
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# Init model and tokenizer
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# Init model and tokenizer
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model, tokenizer, meta = load_model(source, device, phase="eval")
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model, tokenizer, meta = load_model(source, device, phase="eval")
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