Update `BridgeTowerModelTester` #23029

ydshieh · 2023-04-27T14:42:50Z

What does this PR do?

Update BridgeTowerModelTester to use small values for config.

HuggingFaceDocBuilderDev · 2023-04-27T14:56:55Z

The documentation is not available anymore as the PR was closed or merged.

ydshieh · 2023-04-27T15:50:51Z

tests/models/bridgetower/test_modeling_bridgetower.py

@@ -54,87 +60,169 @@
    from transformers import BridgeTowerProcessor


-class BridgeTowerModelTester:
+class BridgeTowerTextModelTester:


There is no BridgeTowerTextModelTest however: we just use this tester class to create text config and text inputs

ydshieh · 2023-04-27T15:51:22Z

tests/models/bridgetower/test_modeling_bridgetower.py

+        )
+
+
+class BridgeTowerImageModelTester:


same as mentioned for text model tester above.

ydshieh · 2023-04-27T15:52:36Z

tests/models/bridgetower/test_modeling_bridgetower.py

+        hidden_size=128,
+        num_hidden_layers=2,
+        num_attention_heads=4,
+        intermediate_size=256,


This model requires some attributes to be defined in the top config (BridgeTowerConfig).

ydshieh · 2023-04-27T16:05:49Z

tests/models/bridgetower/test_modeling_bridgetower.py

@@ -225,6 +319,18 @@ class BridgeTowerModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestC
    test_resize_embeddings = False
    has_attentions = False

+    @unittest.skip(reason="Does not work on the tiny model as we keep hitting edge cases.")
+    def test_cpu_offload(self):


With large version, this test passes

ydshieh · 2023-04-27T16:06:20Z

tests/models/bridgetower/test_modeling_bridgetower.py

+        pass
+
+    @unittest.skip(reason="Does not work on the tiny model as we keep hitting edge cases.")
+    def test_disk_offload(self):


ydshieh · 2023-04-27T16:08:11Z

tests/models/bridgetower/test_modeling_bridgetower.py

+
+    @unittest.skip(reason="Does not work on the tiny model as we keep hitting edge cases.")
+    def test_model_parallelism(self):
+        pass


With large model, there is a device issue when running the forward pass.
I tried to look it, but constantly got GPU OOM. So I decided to update this test file.
I will take a look this test with larger model (but not too large)

ydshieh · 2023-04-27T16:13:32Z

tests/models/bridgetower/test_modeling_bridgetower.py

@@ -202,7 +297,6 @@ def prepare_config_and_inputs_for_common(self):
        return config, inputs_dict


-@slow


ydshieh · 2023-04-27T16:15:07Z

Remark: with lager model (but not too large), we get

FAILED tests/models/bridgetower/test_modeling_bridgetower.py::BridgeTowerModelTest::test_model_parallelism - RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cuda:1!

Better to check this separately.

Here is the full log

>                   new_output = new_model(**inputs_dict_class)

tests/test_modeling_common.py:2616: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py:1501: in _call_impl
    return forward_call(*args, **kwargs)
/usr/local/lib/python3.8/dist-packages/accelerate/hooks.py:165: in new_forward
    output = old_forward(*args, **kwargs)
src/transformers/models/bridgetower/modeling_bridgetower.py:1423: in forward
    image_embeds = self.vision_model.visual.transformer.resblocks[i](image_embeds).type(
/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py:1501: in _call_impl
    return forward_call(*args, **kwargs)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = BridgeTowerResidualAttention(
  (attn): MultiheadAttention(
    (out_proj): NonDynamicallyQuantizableLinear(in_feature...ar(in_features=2048, out_features=512, bias=True)
  )
  (ln_2): LayerNorm((512,), eps=1e-05, elementwise_affine=True)
)
hidden_state = tensor([[[ 0.5531,  0.0555, -0.0248,  ...,  0.2110, -0.0403,  0.0487]],

        [[ 0.2963, -0.1709,  0.0074,  ...,  0...      [[ 0.3324, -0.0536, -0.0069,  ...,  0.0911, -0.0565, -0.2751]]],
       device='cuda:1', grad_fn=<ViewBackward0>)
attention_mask = None

    def forward(self, hidden_state: torch.Tensor, attention_mask: torch.Tensor = None):
        residual_state = hidden_state + self.attention(self.ln_1(hidden_state), attention_mask)
        hidden_state = self.ln_2(residual_state)
        for _, layer in self.mlp.items():
            hidden_state = layer(hidden_state)
>       hidden_state = residual_state + hidden_state
E       RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cuda:1!

src/transformers/models/bridgetower/modeling_bridgetower.py:237: RuntimeError
================================================================================================== warnings summary ==================================================================================================
../usr/local/lib/python3.8/dist-packages/detectron2/data/transforms/transform.py:46
  /usr/local/lib/python3.8/dist-packages/detectron2/data/transforms/transform.py:46: DeprecationWarning: LINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use BILINEAR or Resampling.BILINEAR instead.
    def __init__(self, src_rect, output_size, interp=Image.LINEAR, fill=0):

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
============================================================================================== short test summary info ===============================================================================================
FAILED tests/models/bridgetower/test_modeling_bridgetower.py::BridgeTowerModelTest::test_model_parallelism - RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cuda:1!

sgugger

Thanks a lot!

* update --------- Co-authored-by: ydshieh <[email protected]>

update

84c0fe7

ydshieh added 8 commits April 27, 2023 16:57

fix

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ydshieh commented Apr 27, 2023

View reviewed changes

ydshieh marked this pull request as ready for review April 27, 2023 15:52

fix

4ceeb8f

ydshieh commented Apr 27, 2023

View reviewed changes

ydshieh requested a review from sgugger April 27, 2023 16:11

ydshieh commented Apr 27, 2023

View reviewed changes

sgugger approved these changes Apr 27, 2023

View reviewed changes

ydshieh merged commit 27b66be into main Apr 27, 2023

ydshieh deleted the fix_bridge branch April 27, 2023 16:26

ydshieh mentioned this pull request May 23, 2023

Fix a BridgeTower test #23694

Merged

gojiteji pushed a commit to gojiteji/transformers that referenced this pull request Jun 5, 2023

Update BridgeTowerModelTester (huggingface#23029)

a08584c

* update --------- Co-authored-by: ydshieh <[email protected]>

novice03 pushed a commit to novice03/transformers that referenced this pull request Jun 23, 2023

Update BridgeTowerModelTester (huggingface#23029)

a3e10b0

* update --------- Co-authored-by: ydshieh <[email protected]>

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Update `BridgeTowerModelTester` #23029

Update `BridgeTowerModelTester` #23029

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ydshieh commented Apr 27, 2023

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		@@ -202,7 +297,6 @@ def prepare_config_and_inputs_for_common(self):
		return config, inputs_dict


		@slow

Update BridgeTowerModelTester #23029

Update BridgeTowerModelTester #23029

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Update `BridgeTowerModelTester` #23029

Update `BridgeTowerModelTester` #23029

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