[VLM] Improve consistency between feature size calculation and dummy data for profiling (#6146)
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@ -37,6 +37,9 @@ _KEYS_TO_MODIFY_MAPPING = {
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"language_model.model": "language_model",
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}
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# Result in the max possible feature size (2x2 grid of 336x336px tiles)
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MAX_IMAGE_FEATURE_SIZE_HEIGHT = MAX_IMAGE_FEATURE_SIZE_WIDTH = 448
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class LlavaNextImagePixelInputs(TypedDict):
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type: Literal["pixel_values"]
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@ -128,13 +131,11 @@ def get_llava_next_image_feature_size(
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def get_max_llava_next_image_tokens(ctx: InputContext):
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# Result in the max possible feature size (2x2 grid of 336x336px tiles)
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dummy_height = dummy_width = 448
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return get_llava_next_image_feature_size(
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ctx.get_hf_config(LlavaNextConfig),
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input_height=dummy_height,
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input_width=dummy_width,
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input_height=MAX_IMAGE_FEATURE_SIZE_HEIGHT,
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input_width=MAX_IMAGE_FEATURE_SIZE_WIDTH,
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)
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@ -142,13 +143,7 @@ def dummy_data_for_llava_next(ctx: InputContext, seq_len: int):
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hf_config = ctx.get_hf_config(LlavaNextConfig)
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vision_config = hf_config.vision_config
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# Result in the max possible feature size (2x2 grid of 336x336px tiles)
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dummy_height = dummy_width = 448
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image_feature_size = get_llava_next_image_feature_size(
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hf_config,
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input_height=dummy_height,
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input_width=dummy_width,
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)
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image_feature_size = get_max_llava_next_image_tokens(ctx)
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if isinstance(vision_config, CLIPVisionConfig):
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seq_data = dummy_seq_data_for_clip(
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@ -160,8 +155,8 @@ def dummy_data_for_llava_next(ctx: InputContext, seq_len: int):
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mm_data = dummy_image_for_clip(
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vision_config,
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image_width_override=dummy_width,
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image_height_override=dummy_height,
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image_width_override=MAX_IMAGE_FEATURE_SIZE_WIDTH,
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image_height_override=MAX_IMAGE_FEATURE_SIZE_HEIGHT,
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)
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return seq_data, mm_data
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@ -53,6 +53,10 @@ _KEYS_TO_MODIFY_MAPPING = {
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# Cannot find the following 2 numbers from hf config.
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_IMAGE_TOKEN_ID = 32044
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# Result in the max possible feature size (h:w = 16:1)
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MAX_IMAGE_FEATURE_SIZE_HEIGHT = 8000
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MAX_IMAGE_FEATURE_SIZE_WIDTH = 50
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CLIP_VIT_LARGE_PATCH14_336_CONFIG = CLIPVisionConfig(dropout=0.0,
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hidden_act="quick_gelu",
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hidden_size=1024,
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@ -322,24 +326,17 @@ def get_phi3v_image_feature_size(
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def get_max_phi3v_image_tokens(ctx: InputContext):
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# Result in the max possible feature size (h:w = 16:1)
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dummy_height, dummy_width = 8000, 50
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return get_phi3v_image_feature_size(
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ctx.get_hf_config(PretrainedConfig),
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input_height=dummy_height,
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input_width=dummy_width,
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input_height=MAX_IMAGE_FEATURE_SIZE_HEIGHT,
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input_width=MAX_IMAGE_FEATURE_SIZE_WIDTH,
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)
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def dummy_data_for_phi3v(ctx: InputContext, seq_len: int):
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# Result in the max possible feature size (h:w = 16:1)
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dummy_height, dummy_width = 8000, 50
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image_feature_size = get_phi3v_image_feature_size(
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ctx.get_hf_config(PretrainedConfig),
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input_height=dummy_height,
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input_width=dummy_width,
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)
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image_feature_size = get_max_phi3v_image_tokens(ctx)
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seq_data = dummy_seq_data_for_clip(
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CLIP_VIT_LARGE_PATCH14_336_CONFIG,
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@ -349,8 +346,8 @@ def dummy_data_for_phi3v(ctx: InputContext, seq_len: int):
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)
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mm_data = dummy_image_for_clip(
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CLIP_VIT_LARGE_PATCH14_336_CONFIG,
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image_width_override=dummy_width,
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image_height_override=dummy_height,
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image_width_override=MAX_IMAGE_FEATURE_SIZE_WIDTH,
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image_height_override=MAX_IMAGE_FEATURE_SIZE_HEIGHT,
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)
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return seq_data, mm_data
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