mtmd: Add DeepSeekOCR 2 Support (#20975)
* mtmd: DeepSeek-OCR 2 support, with multi-tile dynamic resolution * introduced clip_image_f32::add_viewsep * address PR review - drop redundant ggml_cpy ops in both deepseekocr versions build - drop no-op ggml_cont in build_sam - assert num_image_tokens deepseekocr2 - view_seperator as (1, n_embd) at conversion (for both versions) - drop redundant ggml_reshape_2d * Update tools/mtmd/models/deepseekocr2.cpp Co-authored-by: Xuan-Son Nguyen <thichthat@gmail.com> --------- Co-authored-by: Xuan-Son Nguyen <thichthat@gmail.com>
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@@ -812,6 +812,8 @@ class MODEL_TENSOR(IntEnum):
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V_SAM_NET_3 = auto() # Deepseek-OCR
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V_ENC_EMBD_IMGNL = auto() # Deepseek-OCR
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V_ENC_EMBD_VSEP = auto() # Deepseek-OCR
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V_RESMPL_QUERY_768 = auto() # Deepseek-OCR-2
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V_RESMPL_QUERY_1024 = auto() # Deepseek-OCR-2
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# audio (mtmd)
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A_ENC_EMBD_POS = auto()
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@@ -1329,6 +1331,8 @@ TENSOR_NAMES: dict[MODEL_TENSOR, str] = {
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MODEL_TENSOR.V_SAM_NET_3: "v.sam.net_3",
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MODEL_TENSOR.V_ENC_EMBD_IMGNL: "v.image_newline", # Deepseek-OCR
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MODEL_TENSOR.V_ENC_EMBD_VSEP: "v.view_seperator", # Deepseek-OCR
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MODEL_TENSOR.V_RESMPL_QUERY_768: "v.resample_query_768", # Deepseek-OCR-2 qwen2
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MODEL_TENSOR.V_RESMPL_QUERY_1024: "v.resample_query_1024", # Deepseek-OCR-2 qwen2
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# audio (mtmd)
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# note: all audio tensor names must use prefix "a." or "mm.a."
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MODEL_TENSOR.A_ENC_EMBD_POS: "a.position_embd",
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@@ -1507,6 +1511,8 @@ MODEL_TENSORS: dict[MODEL_ARCH, list[MODEL_TENSOR]] = {
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MODEL_TENSOR.V_SAM_NECK,
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MODEL_TENSOR.V_SAM_NET_2,
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MODEL_TENSOR.V_SAM_NET_3,
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MODEL_TENSOR.V_RESMPL_QUERY_768,
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MODEL_TENSOR.V_RESMPL_QUERY_1024,
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# audio
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MODEL_TENSOR.A_ENC_EMBD_POS,
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MODEL_TENSOR.A_ENC_EMBD_NORM,
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@@ -4329,6 +4335,7 @@ class VisionProjectorType:
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JANUS_PRO = "janus_pro"
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DOTSOCR = "dots_ocr"
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DEEPSEEKOCR = "deepseekocr"
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DEEPSEEKOCR2 = "deepseekocr2"
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LFM2A = "lfm2a" # audio
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MUSIC_FLAMINGO = "musicflamingo" # audio
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GLM4V = "glm4v"
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@@ -1485,6 +1485,7 @@ class TensorNameMap:
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"siglip2.vision_model.encoder.layers.{bid}.self_attn.q_proj", # youtuvl
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"model.vision_model.transformer.layers.{bid}.self_attn.q_proj", # Deepseek-OCR CLIP, generated
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"vision_model.model.layers.{bid}.self_attn.q_proj.linear", # gemma4
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"model.qwen2_model.model.model.layers.{bid}.self_attn.q_proj" # Deepseek-OCR-2 qwen2
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),
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MODEL_TENSOR.V_ENC_ATTN_Q_NORM: (
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@@ -1509,6 +1510,7 @@ class TensorNameMap:
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"model.vision_model.transformer.layers.{bid}.self_attn.k_proj", # Deepseek-OCR CLIP, generated
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"siglip2.vision_model.encoder.layers.{bid}.self_attn.k_proj",
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"vision_model.model.layers.{bid}.self_attn.k_proj.linear", # gemma4
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"model.qwen2_model.model.model.layers.{bid}.self_attn.k_proj" # Deepseek-OCR-2 qwen2
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),
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MODEL_TENSOR.V_ENC_ATTN_K_NORM: (
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@@ -1533,6 +1535,7 @@ class TensorNameMap:
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"siglip2.vision_model.encoder.layers.{bid}.self_attn.v_proj",
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"model.vision_model.transformer.layers.{bid}.self_attn.v_proj", # Deepseek-OCR CLIP, generated
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"vision_model.model.layers.{bid}.self_attn.v_proj.linear", # gemma4
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"model.qwen2_model.model.model.layers.{bid}.self_attn.v_proj" # Deepseek-OCR-2 qwen2
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),
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MODEL_TENSOR.V_ENC_INPUT_NORM: (
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@@ -1554,6 +1557,7 @@ class TensorNameMap:
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"vision_model.radio_model.model.blocks.{bid}.norm1", # Nemotron Nano v2 VL
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"vision_tower.blocks.{bid}.norm1", # dots.ocr
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"vision_model.transformer.resblocks.{bid}.ln_1", # Step3-VL
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"model.qwen2_model.model.model.layers.{bid}.input_layernorm", # Deepseek-OCR-2 qwen2
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),
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MODEL_TENSOR.V_ENC_ATTN_O: (
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@@ -1574,6 +1578,7 @@ class TensorNameMap:
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"model.vision_model.transformer.layers.{bid}.self_attn.out_proj", # Deepseek-OCR CLIP
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"siglip2.vision_model.encoder.layers.{bid}.self_attn.out_proj", # youtuvl
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"vision_model.radio_model.model.blocks.{bid}.attn.proj", # Nemotron Nano v2 VL
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"model.qwen2_model.model.model.layers.{bid}.self_attn.o_proj", # Deepseek-OCR-2 qwen2
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"vision_model.model.layers.{bid}.self_attn.o_proj.linear", # gemma4
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"vision_tower.blocks.{bid}.attn.proj", # dots.ocr
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"vision_model.transformer.resblocks.{bid}.attn.out_proj", # Step3-VL
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@@ -1603,6 +1608,7 @@ class TensorNameMap:
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"vision_model.model.layers.{bid}.pre_feedforward_layernorm", # gemma4
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"vision_tower.blocks.{bid}.norm2", # dots.ocr
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"vision_model.transformer.resblocks.{bid}.ln_2", # Step3-VL
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"model.qwen2_model.model.model.layers.{bid}.post_attention_layernorm", # Deepseek-OCR-2 qwen2
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),
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MODEL_TENSOR.V_ENC_FFN_UP: (
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@@ -1625,6 +1631,7 @@ class TensorNameMap:
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"vision_model.radio_model.model.blocks.{bid}.mlp.fc1", # Nemotron Nano v2 VL
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"vision_model.model.layers.{bid}.mlp.up_proj", # gemma4
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"vision_model.transformer.resblocks.{bid}.mlp.c_fc", # Step3-VL
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"model.qwen2_model.model.model.layers.{bid}.mlp.up_proj", # Deepseek-OCR-2 qwen2
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),
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MODEL_TENSOR.V_ENC_FFN_GATE: (
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@@ -1632,6 +1639,7 @@ class TensorNameMap:
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"vision_encoder.transformer.layers.{bid}.feed_forward.w1", # pixtral
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"visual.blocks.{bid}.mlp.gate_proj", # qwen2.5vl
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"vision_model.model.layers.{bid}.mlp.gate_proj", # gemma4
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"model.qwen2_model.model.model.layers.{bid}.mlp.gate_proj", # Deepseek-OCR-2 qwen2
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),
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MODEL_TENSOR.V_ENC_FFN_DOWN: (
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@@ -1652,6 +1660,7 @@ class TensorNameMap:
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"model.vision_model.transformer.layers.{bid}.mlp.fc2", # Deepseek-OCR CLIP
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"siglip2.vision_model.encoder.layers.{bid}.mlp.fc2",
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"vision_model.radio_model.model.blocks.{bid}.mlp.fc2", # Nemotron Nano v2 VL
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"model.qwen2_model.model.model.layers.{bid}.mlp.down_proj" , # Deepseek-OCR-2 qwen2
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"vision_model.model.layers.{bid}.mlp.down_proj", # gemma4
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"vision_model.transformer.resblocks.{bid}.mlp.c_proj", # Step3-VL
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),
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@@ -1699,6 +1708,7 @@ class TensorNameMap:
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"vision_tower.encoder.final_layernorm", # kimi-vl
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"visual.post_layernorm", # glm4v
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"siglip2.vision_model.post_layernorm",
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"model.qwen2_model.model.model.norm", # Deepseek-OCR-2 qwen2
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),
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MODEL_TENSOR.V_MM_POST_NORM: (
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@@ -1879,6 +1889,14 @@ class TensorNameMap:
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"model.sam_model.net_3",
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),
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MODEL_TENSOR.V_RESMPL_QUERY_768: (
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"model.qwen2_model.query_768", # Deepseek-OCR-2 qwen2
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),
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MODEL_TENSOR.V_RESMPL_QUERY_1024: (
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"model.qwen2_model.query_1024", # Deepseek-OCR-2 qwen2
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),
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MODEL_TENSOR.V_MM_POST_FC_NORM: (
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"model.vision.linear_proj.norm1", # cogvlm
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),
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