Image pipelines spec compliance (#33899)

* Update many similar visual pipelines

* Add input tests

* Add ImageToText as well

* Add output tests

* Add output tests

* Add output tests

* OutputElement -> Output

* Correctly test elements

* make fixup

* fix typo in the task list

* Fix VQA testing

* Add copyright to image_classification.py

* Revert changes to VQA pipeline because outputs have differences - will move to another PR

* make fixup

* Remove deprecation warnings

tests/pipelines/test_pipelines_depth_estimation.py

@@ -14,11 +14,13 @@
 
 import unittest
 
+from huggingface_hub import DepthEstimationOutput
 from huggingface_hub.utils import insecure_hashlib
 
 from transformers import MODEL_FOR_DEPTH_ESTIMATION_MAPPING, is_torch_available, is_vision_available
 from transformers.pipelines import DepthEstimationPipeline, pipeline
 from transformers.testing_utils import (
+    compare_pipeline_output_to_hub_spec,
     is_pipeline_test,
     nested_simplify,
     require_tf,
@@ -94,6 +96,9 @@ class DepthEstimationPipelineTests(unittest.TestCase):
             outputs,
         )
 
+        for single_output in outputs:
+            compare_pipeline_output_to_hub_spec(single_output, DepthEstimationOutput)
+
     @require_tf
     @unittest.skip(reason="Depth estimation is not implemented in TF")
     def test_small_model_tf(self):