zhangyiss/mlx-examples
1
0
Fork 0
mirror of https://github.com/ml-explore/mlx-examples.git synced 2025-08-30 02:53:41 +08:00
Code Issues Actions Packages Projects Releases Wiki Activity

Fix the test

Browse Source
This commit is contained in:
Angelos Katharopoulos 2024-10-31 16:28:55 -07:00
parent ece20f1d64
commit c5e09a1725
1 changed files with 31 additions and 20 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

51
llms/tests/test_finetune.py
View File

@ -3,6 +3,7 @@
import math
import sys
import unittest
from contextlib import contextmanager
from io import StringIO
from unittest.mock import MagicMock
@ -17,6 +18,14 @@ from mlx_lm.tuner.trainer import evaluate
from mlx_lm.tuner.utils import build_schedule
@contextmanager
def swapped_with_identity(obj, func):
old_func = getattr(obj, func)
setattr(obj, func, lambda x: x)
yield
setattr(obj, func, old_func)
class TestLora(unittest.TestCase):
def setUp(self):
self.capturedOutput = StringIO()
@ -374,16 +383,17 @@ class TestScheduleConfig(unittest.TestCase):
(MagicMock(return_value=0.4), MagicMock(return_value=180)),
(MagicMock(return_value=0.6), MagicMock(return_value=120)),
]
evaluate(
model=mock_model,
dataset=mock_dataset,
tokenizer=mock_tokenizer,
batch_size=2,
num_batches=2,
max_seq_length=2048,
loss=mock_default_loss,
iterate_batches=mock_iterate_batches,
)
with swapped_with_identity(mx.distributed, "all_sum"):
evaluate(
model=mock_model,
dataset=mock_dataset,
tokenizer=mock_tokenizer,
batch_size=2,
num_batches=2,
max_seq_length=2048,
loss=mock_default_loss,
iterate_batches=mock_iterate_batches,
)
mock_iterate_batches.assert_called_once_with(
dataset=mock_dataset,
@ -412,16 +422,17 @@ class TestScheduleConfig(unittest.TestCase):
(MagicMock(return_value=0.2), MagicMock(return_value=150)),
]
evaluate(
model=mock_model,
dataset=mock_dataset,
tokenizer=mock_tokenizer,
batch_size=2,
num_batches=-1,
max_seq_length=2048,
loss=mock_default_loss,
iterate_batches=mock_iterate_batches,
)
with swapped_with_identity(mx.distributed, "all_sum"):
evaluate(
model=mock_model,
dataset=mock_dataset,
tokenizer=mock_tokenizer,
batch_size=2,
num_batches=-1,
max_seq_length=2048,
loss=mock_default_loss,
iterate_batches=mock_iterate_batches,
)
mock_iterate_batches.assert_called_once_with(
dataset=mock_dataset,