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Code Issues Releases Wiki Activity

clean up TODOs a bit, they are stale

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This commit is contained in:
Andrej Karpathy 2023-02-04 21:11:25 +00:00
parent 25d95dbd65
commit a74e8363a2
1 changed files with 2 additions and 2 deletions
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train.py
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@ -103,7 +103,7 @@ device_type = 'cuda' if 'cuda' in device else 'cpu' # for later use in torch.aut
ptdtype = {'float32': torch.float32, 'bfloat16': torch.bfloat16, 'float16': torch.float16}[dtype]
ctx = nullcontext() if device_type == 'cpu' else torch.amp.autocast(device_type=device_type, dtype=ptdtype)
# poor man's data loader, TODO evaluate need for actual DataLoader
# poor man's data loader
data_dir = os.path.join('data', dataset)
train_data = np.memmap(os.path.join(data_dir, 'train.bin'), dtype=np.uint16, mode='r')
val_data = np.memmap(os.path.join(data_dir, 'val.bin'), dtype=np.uint16, mode='r')
@ -302,7 +302,7 @@ while True:
dt = t1 - t0
t0 = t1
if iter_num % log_interval == 0 and master_process:
lossf = loss.item() # loss as float. TODO note CPU-GPU sync! profile, make sure not too slow
lossf = loss.item() # loss as float. note: this is a CPU-GPU sync point
print(f"iter {iter_num}: loss {lossf:.4f}, time {dt*1000:.2f}ms")
iter_num += 1