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fix mpt test of different outputs from cuda #37691

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Merged
MekkCyber merged 8 commits into from
Apr 25, 2025
Merged

fix mpt test of different outputs from cuda #37691

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f200bd7
fix mpt test
jiqing-feng Apr 23, 2025
32cbd18
fix mpt tests with Expectations
jiqing-feng Apr 23, 2025
9c11fef
fix typo
jiqing-feng Apr 23, 2025
4ac7e62
fix output
jiqing-feng Apr 23, 2025
21073b2
fix format
jiqing-feng Apr 23, 2025
b903f5e
Merge branch 'main' into mpt
jiqing-feng Apr 23, 2025
7c2dd2c
Merge branch 'main' into mpt
jiqing-feng Apr 24, 2025
162d16f
Merge branch 'main' into mpt
jiqing-feng Apr 25, 2025
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19 changes: 15 additions & 4 deletions tests/models/mpt/test_modeling_mpt.py
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Original file line number Diff line number Diff line change
Expand Up @@ -20,6 +20,7 @@
from transformers.testing_utils import (
Expectations,
require_bitsandbytes,
require_deterministic_for_xpu,
require_torch,
require_torch_accelerator,
slow,
Expand Down Expand Up @@ -483,6 +484,7 @@ def test_generation(self):
decoded_output = tokenizer.decode(outputs[0], skip_special_tokens=True)
self.assertEqual(decoded_output, expected_output)

@require_deterministic_for_xpu
def test_generation_batched(self):
model_id = "mosaicml/mpt-7b"
tokenizer = AutoTokenizer.from_pretrained(model_id)
Expand All @@ -498,10 +500,19 @@ def test_generation_batched(self):

inputs = tokenizer(input_texts, return_tensors="pt", padding=True).to(torch_device)

expected_output = [
"Hello my name is Tiffany and I am a mother of two beautiful children. I have been a nanny for the",
"Today I am going at the gym and then I am going to go to the grocery store. I am going to buy some food and some",
]
expected_outputs = Expectations(
{
("xpu", 3): [
"Hello my name is Tiffany. I am a mother of two beautiful children. I have been a nanny for over",
"Today I am going at the gym and then I am going to go to the mall with my mom. I am going to go to the",
],
("cuda", 7): [
"Hello my name is Tiffany and I am a mother of two beautiful children. I have been a nanny for the",
"Today I am going at the gym and then I am going to go to the grocery store. I am going to buy some food and some",
],
}
)
expected_output = expected_outputs.get_expectation()
outputs = model.generate(**inputs, max_new_tokens=20)

decoded_outputs = tokenizer.batch_decode(outputs, skip_special_tokens=True)
Expand Down