mirror of
https://github.com/rasbt/LLMs-from-scratch.git
synced 2025-11-04 11:50:14 +00:00
41 lines
1.3 KiB
Python
41 lines
1.3 KiB
Python
# Copyright (c) Sebastian Raschka under Apache License 2.0 (see LICENSE.txt).
|
|
# Source for "Build a Large Language Model From Scratch"
|
|
# - https://www.manning.com/books/build-a-large-language-model-from-scratch
|
|
# Code: https://github.com/rasbt/LLMs-from-scratch
|
|
|
|
# File for internal use (unit tests)
|
|
|
|
from gpt import main
|
|
|
|
expected = """
|
|
==================================================
|
|
IN
|
|
==================================================
|
|
|
|
Input text: Hello, I am
|
|
Encoded input text: [15496, 11, 314, 716]
|
|
encoded_tensor.shape: torch.Size([1, 4])
|
|
|
|
|
|
==================================================
|
|
OUT
|
|
==================================================
|
|
|
|
Output: tensor([[15496, 11, 314, 716, 27018, 24086, 47843, 30961, 42348, 7267,
|
|
49706, 43231, 47062, 34657]])
|
|
Output length: 14
|
|
Output text: Hello, I am Featureiman Byeswickattribute argue logger Normandy Compton analogous
|
|
"""
|
|
|
|
|
|
def test_main(capsys):
|
|
main()
|
|
captured = capsys.readouterr()
|
|
|
|
# Normalize line endings and strip trailing whitespace from each line
|
|
normalized_expected = '\n'.join(line.rstrip() for line in expected.splitlines())
|
|
normalized_output = '\n'.join(line.rstrip() for line in captured.out.splitlines())
|
|
|
|
# Compare normalized strings
|
|
assert normalized_output == normalized_expected
|