Delete four deletion-eligible ALBEF embedding tests (#551)

Summary:
Pull Request resolved: #551

Oncall test cleanup for the `stl_multimodal` rotation. TestX flags these four
tests in `tests/models/albef/test_albef.py` as eligible for deletion — all sit
in `DISABLED_FAILING` trunk state with open `FAILURE` issues, well past the
60-day zero-value threshold:

- `test_albef_image_embeddings` (`844425197297248`, `844425197101365`)
- `test_albef_image_embeddings_momentum` (`562950220612232`, `844425197101313`)
- `test_albef_multimodal_embeddings` (`844425197297177`, `844425197101408`)
- `test_albef_multimodal_embeddings_momentum` (`562950220612287`, `281475243658978`)

Each asserted a hard-coded 2x2x3 activation tensor to `atol=1e-4` against a
seeded forward pass — golden values that drift whenever RNG or kernel behavior
changes underneath them. Re-baselining numbers nobody has validated since they
broke would restore a green signal without restoring any real assurance, so
they are deleted instead.

The `albef_model_output` fixture and the surrounding tests are untouched:
`test_albef_text_embeddings` and `test_albef_text_embeddings_momentum` still
exercise the same forward pass, and `test_similarity`, `test_neg_embeddings`,
`test_dequeue_and_enqueue`, `test_momentum_update`, and
`test_copy_params_momentum_models` still cover `ALBEFModelWithSimilarity`.

___

Differential Revision: D114397069

fbshipit-source-id: 59f0640bd04fb164d0c8b53665616ed64545da2b

Author: twmoveon

tests/models/albef/test_albef.py

@@ -79,26 +79,6 @@ def albef_model_output(albef_model):
     return albef_model(image, text, text_atts)
 
 
-def test_albef_image_embeddings(albef_model_output):
-    expected = Tensor(
-        [
-            [[1.364883, -1.003092, -0.361791], [-0.634884, 1.411830, -0.776947]],
-            [[1.401580, -0.537510, -0.864071], [1.378901, -0.417473, -0.961429]],
-        ]
-    )
-    assert_expected(albef_model_output.image_embeddings, expected, rtol=0, atol=1e-4)
-
-
-def test_albef_image_embeddings_momentum(albef_model_output):
-    expected = Tensor(
-        [
-            [[1.364883, -1.003092, -0.361791], [-0.634884, 1.411830, -0.776947]],
-            [[1.401580, -0.537510, -0.864070], [1.378902, -0.417473, -0.961429]],
-        ]
-    )
-    assert_expected(albef_model_output.image_embeddings_m, expected, rtol=0, atol=1e-4)
-
-
 def test_albef_text_embeddings(albef_model_output):
     expected = Tensor(
         [
@@ -119,30 +99,6 @@ def test_albef_text_embeddings_momentum(albef_model_output):
     assert_expected(albef_model_output.text_embeddings_m, expected, rtol=0, atol=1e-4)
 
 
-def test_albef_multimodal_embeddings(albef_model_output):
-    expected = Tensor(
-        [
-            [[-0.068738, 1.257666, -1.188928], [1.409873, -0.609056, -0.800817]],
-            [[-1.402520, 0.544084, 0.858435], [1.202279, -1.246038, 0.043760]],
-        ]
-    )
-    assert_expected(
-        albef_model_output.multimodal_embeddings, expected, rtol=0, atol=1e-4
-    )
-
-
-def test_albef_multimodal_embeddings_momentum(albef_model_output):
-    expected = Tensor(
-        [
-            [[-0.068738, 1.257666, -1.188928], [1.409873, -0.609056, -0.800817]],
-            [[-1.402520, 0.544084, 0.858435], [1.202279, -1.246038, 0.043760]],
-        ]
-    )
-    assert_expected(
-        albef_model_output.multimodal_embeddings_m, expected, rtol=0, atol=1e-4
-    )
-
-
 def test_copy_params_momentum_models():
     model = nn.Linear(3, 2)
     model_m = copy.deepcopy(model)