osmarks/nanogpt-experiments
1
0
Fork 0
mirror of https://github.com/osmarks/nanogpt-experiments.git synced 2024-11-10 20:09:58 +00:00
Code Issues Releases Wiki Activity

Merge branch 'karpathy:master' into macbook-run-instructions

Browse Source
This commit is contained in:
Guilherme Nobre 2023-04-15 09:50:58 +01:00 committed by GitHub
commit e30c8fda23
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 8 additions and 4 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

12
data/openwebtext/prepare.py
View File

@ -54,12 +54,16 @@ for split, dset in tokenized.items():
filename = os.path.join(os.path.dirname(__file__), f'{split}.bin')
dtype = np.uint16 # (can do since enc.max_token_value == 50256 is < 2**16)
arr = np.memmap(filename, dtype=dtype, mode='w+', shape=(arr_len,))
total_batches = 1024
print(f"writing {filename}...")
idx = 0
for example in tqdm(dset):
arr[idx : idx + example['len']] = example['ids']
idx += example['len']
for batch_idx in tqdm(range(total_batches), desc=f'writing {filename}'):
# Batch together samples for faster write
batch = dset.shard(num_shards=total_batches, index=batch_idx, contiguous=True).with_format('numpy')
arr_batch = np.concatenate(batch['ids'])
# Write into mmap
arr[idx : idx + len(arr_batch)] = arr_batch
idx += len(arr_batch)
arr.flush()
# train.bin is ~17GB, val.bin ~8.5MB