Update expected values (after switching to A10) - part 4 (#39189)

* fix

* fix

* fix

* fix

* fix

* fix

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---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
This commit is contained in:
Yih-Dar
2025-07-03 15:13:06 +02:00
committed by GitHub
parent b31e9d19a6
commit a25fc3592e
25 changed files with 298 additions and 138 deletions

View File

@@ -18,6 +18,7 @@ import unittest
from transformers import pipeline
from transformers.testing_utils import (
Expectations,
require_bitsandbytes,
require_timm,
require_torch,
@@ -304,10 +305,16 @@ class TimmWrapperModelIntegrationTest(unittest.TestCase):
expected_label = 281 # tabby cat
self.assertEqual(torch.argmax(outputs.logits).item(), expected_label)
expected_slice = torch.tensor([-11.2618, -9.6192, -10.3205]).to(torch_device)
expectations = Expectations(
{
(None, None): [-11.2618, -9.6192, -10.3205],
("cuda", 8): [-11.2634, -9.6208, -10.3199],
}
)
expected_slice = torch.tensor(expectations.get_expectation()).to(torch_device)
resulted_slice = outputs.logits[0, :3]
is_close = torch.allclose(resulted_slice, expected_slice, atol=1e-3)
self.assertTrue(is_close, f"Expected {expected_slice}, but got {resulted_slice}")
torch.testing.assert_close(resulted_slice, expected_slice, atol=1e-3, rtol=1e-3)
@slow
def test_inference_with_pipeline(self):
@@ -349,10 +356,16 @@ class TimmWrapperModelIntegrationTest(unittest.TestCase):
expected_label = 281 # tabby cat
self.assertEqual(torch.argmax(outputs.logits).item(), expected_label)
expected_slice = torch.tensor([-2.4043, 1.4492, -0.5127]).to(outputs.logits.dtype)
resulted_slice = outputs.logits[0, :3].cpu()
is_close = torch.allclose(resulted_slice, expected_slice, atol=0.1)
self.assertTrue(is_close, f"Expected {expected_slice}, but got {resulted_slice}")
expectations = Expectations(
{
(None, None): [-2.4043, 1.4492, -0.5127],
("cuda", 8): [-2.2676, 1.5303, -0.4409],
}
)
expected_slice = torch.tensor(expectations.get_expectation()).to(torch_device)
resulted_slice = outputs.logits[0, :3].to(dtype=torch.float32)
torch.testing.assert_close(resulted_slice, expected_slice, atol=0.1, rtol=0.1)
@slow
def test_transformers_model_for_classification_is_equivalent_to_timm(self):