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VLMs: enable generation tests (#33533)

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* add tests

* fix whisper

* update

* nit

* add qwen2-vl

* more updates!

* better this way

* fix this one

* fix more tests

* fix final tests, hope so

* fix led

* Update tests/generation/test_utils.py

Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* pr comments

* not pass pixels and extra for low-mem tests, very flaky because of visio tower

---------

Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
This commit is contained in:
Raushan Turganbay
2024-09-19 12:04:24 +02:00
committed by GitHub
parent e40bb4845e
commit d7975a5874
22 changed files with 500 additions and 207 deletions
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41
tests/models/video_llava/test_modeling_video_llava.py
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@@ -75,14 +75,14 @@ class VideoLlavaVisionText2TextModelTester:
"initializer_range": 0.02,
"num_labels": 3,
"num_choices": 4,
"pad_token_id": 0,
"pad_token_id": 3,
},
is_training=True,
vision_config={
"model_type": "clip_vision_model",
"batch_size": 12,
"image_size": 30,
"patch_size": 2,
"patch_size": 6,
"num_channels": 3,
"is_training": True,
"hidden_size": 32,
@@ -104,8 +104,8 @@ class VideoLlavaVisionText2TextModelTester:
self.vision_feature_layer = vision_feature_layer
self.text_config = text_config
self.vision_config = vision_config
self.seq_length = seq_length
self.num_frames = num_frames
self.pad_token_id = text_config["pad_token_id"]
self.num_hidden_layers = text_config["num_hidden_layers"]
self.vocab_size = text_config["vocab_size"]
@@ -116,7 +116,10 @@ class VideoLlavaVisionText2TextModelTester:
self.batch_size = 5
self.num_channels = 3
self.image_size = 224
self.encoder_seq_length = 2044
self.encoder_seq_length = 64
self.num_image_tokens = 25
self.num_video_tokens = 26
self.seq_length = seq_length + self.num_image_tokens + self.num_video_tokens
def get_config(self):
return VideoLlavaConfig(
@@ -128,6 +131,8 @@ class VideoLlavaVisionText2TextModelTester:
projector_hidden_act=self.projector_hidden_act,
vision_feature_select_strategy=self.vision_feature_select_strategy,
vision_feature_layer=self.vision_feature_layer,
image_seq_length=self.num_image_tokens,
video_seq_length=self.num_video_tokens,
)
def prepare_config_and_inputs(self):
@@ -159,11 +164,11 @@ class VideoLlavaVisionText2TextModelTester:
input_ids = ids_tensor([self.batch_size, self.seq_length], config.text_config.vocab_size - 1) + 1
attention_mask = input_ids.ne(1).to(torch_device)
# we are giving 3 videos and 3 images. Need to pass in image and video tokens, both
# also need to make sure no other special tokens are set
input_ids[(input_ids == 0) | (input_ids == 1)] = 3
input_ids[:, 0] = config.video_token_index
input_ids[:, 1:2] = config.image_token_index
input_ids[(input_ids == config.image_token_index) | (input_ids == config.video_token_index)] = (
self.pad_token_id
)
input_ids[:, : self.num_image_tokens] = config.image_token_index
input_ids[:, self.num_image_tokens : self.num_video_tokens + self.num_image_tokens] = config.video_token_index
inputs_dict = {
"pixel_values_videos": pixel_values_videos,
"pixel_values_images": pixel_values_images,
@@ -196,6 +201,7 @@ class VideoLlavaForConditionalGenerationModelTest(ModelTesterMixin, GenerationTe
"""
all_model_classes = (VideoLlavaForConditionalGeneration,) if is_torch_available() else ()
all_generative_model_classes = (VideoLlavaForConditionalGeneration,) if is_torch_available() else ()
fx_compatible = False
test_pruning = False
test_resize_embeddings = True
@@ -242,16 +248,16 @@ class VideoLlavaForConditionalGenerationModelTest(ModelTesterMixin, GenerationTe
# if we remove some images from inputs leaving only one
# image number mismatch error should raise
inputs["pixel_values_images"] = inputs["pixel_values_images"][:1]
with self.assertRaises(ValueError):
with self.assertRaises(RuntimeError):
_ = model(**inputs)
def test_video_only_input(self):
config, inputs = self.model_tester.prepare_config_and_inputs_for_common()
for model_class in self.all_model_classes:
model = model_class(config).to(torch_device).eval()
# replace video_token with dummy id which is not video token id
# error that video-tokens and num-of-video-inputs mismatch will be raised
inputs["input_ids"][:, 1:2] = 2
# replace image token id with dummy id
# Error will be raised as num-image-tokens and num-of-image-embeds mismatch
inputs["input_ids"][:, : self.model_tester.num_image_tokens] = 2
with self.assertRaises(ValueError):
_ = model(**inputs)
@@ -262,8 +268,13 @@ class VideoLlavaForConditionalGenerationModelTest(ModelTesterMixin, GenerationTe
config, inputs = self.model_tester.prepare_config_and_inputs_for_common()
for model_class in self.all_model_classes:
model = model_class(config).to(torch_device).eval()
# set dummy id, which is not image token id, same as above
inputs["input_ids"][:, :1] = 2
# set dummy id, which is not video token id
# Error will be raised as num-video-tokens and num-of-video-embeds mismatch
inputs["input_ids"][
:,
self.model_tester.num_image_tokens : self.model_tester.num_image_tokens
+ self.model_tester.num_video_tokens,
] = 2
with self.assertRaises(ValueError):
_ = model(**inputs)