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feat: make DEVICE_BATCH_SIZE configurable via env var #138

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feat: make DEVICE_BATCH_SIZE configurable via env var #138

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5 changes: 3 additions & 2 deletions train.py
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Original file line number Diff line number Diff line change
Expand Up @@ -447,7 +447,7 @@ def step(self):

# Model size
DEPTH = 8 # number of transformer layers
DEVICE_BATCH_SIZE = 128 # per-device batch size (reduce if OOM)
DEVICE_BATCH_SIZE = int(os.environ.get("DEVICE_BATCH_SIZE", 128)) # per-device batch size (reduce if OOM)

# ---------------------------------------------------------------------------
# Setup: tokenizer, model, optimizer, dataloader
Expand Down Expand Up @@ -492,7 +492,8 @@ def build_model_config(depth):
print(f"Estimated FLOPs per token: {num_flops_per_token:e}")

tokens_per_fwdbwd = DEVICE_BATCH_SIZE * MAX_SEQ_LEN
assert TOTAL_BATCH_SIZE % tokens_per_fwdbwd == 0
assert TOTAL_BATCH_SIZE % tokens_per_fwdbwd == 0, \
f"DEVICE_BATCH_SIZE={DEVICE_BATCH_SIZE} does not evenly divide TOTAL_BATCH_SIZE={TOTAL_BATCH_SIZE} (tokens_per_fwdbwd={tokens_per_fwdbwd})"
grad_accum_steps = TOTAL_BATCH_SIZE // tokens_per_fwdbwd

optimizer = model.setup_optimizer(
Expand Down