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add dummy input generator for VisualBert #2307

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Merged
merged 4 commits into from
Jun 27, 2025
Merged

add dummy input generator for VisualBert #2307

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40ad31e
add dummy input generator
Abdennacer-Badaoui Jun 25, 2025
dad3cec
fix style
Abdennacer-Badaoui Jun 25, 2025
b7abac5
add default shapes
Abdennacer-Badaoui Jun 25, 2025
d2b637b
Apply suggestions from code review
IlyasMoutawwakil Jun 26, 2025
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6 changes: 6 additions & 0 deletions optimum/commands/export/onnx.py
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Original file line number Diff line number Diff line change
Expand Up @@ -248,6 +248,12 @@ def parse_args_onnx(parser):
default=DEFAULT_DUMMY_SHAPES["nb_points_per_image"],
help="For Segment Anything. It corresponds to the number of points per segmentation masks.",
)
input_group.add_argument(
"--visual_seq_length",
type=int,
default=DEFAULT_DUMMY_SHAPES["visual_seq_length"],
help="Visual sequence length",
)

# deprecated argument
parser.add_argument("--for-ort", action="store_true", help=argparse.SUPPRESS)
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1 change: 1 addition & 0 deletions optimum/commands/export/tflite.py
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Expand Up @@ -125,6 +125,7 @@ def parse_args_tflite(parser: "ArgumentParser"):
default=None,
help=f"Audio tasks only. Audio sequence length {doc_input}",
)
input_group.add_argument("--visual_seq_length", type=int, default=None, help="Visual sequence length")

quantization_group = parser.add_argument_group("Quantization")
quantization_group.add_argument(
Expand Down
29 changes: 29 additions & 0 deletions optimum/utils/input_generators.py
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Original file line number Diff line number Diff line change
Expand Up @@ -63,6 +63,7 @@ def wrapper(*args, **kwargs):
"num_channels": 3,
"point_batch_size": 3,
"nb_points_per_image": 2,
"visual_seq_length": 16,
# audio
"feature_size": 80,
"nb_max_frames": 3000,
Expand Down Expand Up @@ -806,6 +807,9 @@ class DummyVisionInputGenerator(DummyInputGenerator):
"pixel_mask",
"sample",
"latent_sample",
"visual_embeds",
"visual_token_type_ids",
"visual_attention_mask",
)

def __init__(
Expand All @@ -816,6 +820,7 @@ def __init__(
num_channels: int = DEFAULT_DUMMY_SHAPES["num_channels"],
width: int = DEFAULT_DUMMY_SHAPES["width"],
height: int = DEFAULT_DUMMY_SHAPES["height"],
visual_seq_length: int = DEFAULT_DUMMY_SHAPES["visual_seq_length"],
**kwargs,
):
self.task = task
Expand All @@ -839,6 +844,8 @@ def __init__(
self.image_size = (self.image_size, self.image_size)
self.batch_size = batch_size
self.height, self.width = self.image_size
self.visual_seq_length = visual_seq_length
self.visual_embedding_dim = getattr(normalized_config, "visual_embedding_dim", 512)

def generate(self, input_name: str, framework: str = "pt", int_dtype: str = "int64", float_dtype: str = "fp32"):
if input_name == "pixel_mask":
Expand All @@ -848,6 +855,28 @@ def generate(self, input_name: str, framework: str = "pt", int_dtype: str = "int
framework=framework,
dtype=int_dtype,
)
elif input_name in "visual_attention_mask":
return self.random_mask_tensor(
shape=[self.batch_size, self.visual_seq_length],
padding_side="right",
framework=framework,
dtype=int_dtype,
)

elif input_name == "visual_token_type_ids":
return self.random_int_tensor(
shape=[self.batch_size, self.visual_seq_length],
max_value=1,
framework=framework,
dtype=int_dtype,
)

elif input_name == "visual_embeds":
return self.random_float_tensor(
shape=[self.batch_size, self.visual_seq_length, self.visual_embedding_dim],
framework=framework,
dtype=float_dtype,
)
else:
return self.random_float_tensor(
shape=[self.batch_size, self.num_channels, self.height, self.width],
Expand Down