llava : support v1.6 (#5267)
* Create llava-survery-v2.py * Update convert-image-encoder-to-gguf.py * Update convert-image-encoder-to-gguf.py * Rename llava-survery-v2.py to llava-surgery-v2.py * Update convert-image-encoder-to-gguf.py will now search for projector * Update convert-image-encoder-to-gguf.py whoops * Update llava-surgery-v2.py * Clip: Bugfix for normalization (it did not loat the 3 std and mean values) Clip: bicubic resize function Clip: added save-to-bmp/pil for debugging and conversion from/to 32/8 images Clip: added normalization with FP16 precision simulation (image tensors match HF implementation, can be switched off, only used for llava-1.6) Clip: added newline tensor, mergetype kv, image-grid kv, new resize-pad function with resolution from gridpoints Clip: clip_image_preprocess now returns a float * vector instead of float, this way llava 1.5 and 1.6 is supported llava: added ggml cpu graph for embedding patching, added spatial_unpad preliminary support, added a lot of comments that need to be cleaned when all is final convert-image-encoder: fixed image-grid flattening * whitespace corrections * ws * Tensors are now properly permuted. Before the embeddings were inserted 1:1, now they are split into the 24x24 patches as in reference. * ws * added verbose_prompt support into cli added stopwords for llava-1.6 into cli * moved llava functions to llava.cpp, made clip.h C compatible API, replaced vector style functions with pointers, added a debug define to remove functions from compilation while not needed * ws * convert : skip unknown tensors (need for LLaVA) * llava : update readme * llava : fix compile warnings * llava : style * convert : add --skip-unknown CLI arg * server : remove clip structs * bugfix for non llava-1.6 It should now work with llava-1.5 as well * clip : minor code rearrange * llava : update readme a bit --------- Co-authored-by: John <cmt-nct@users.noreply.github.com> Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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@ -968,13 +968,20 @@ struct llama_server_context
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{
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continue;
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}
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clip_image_f32 * img_res = clip_image_f32_init();
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if (!clip_image_preprocess(clp_ctx, img.img_data, img_res, /*pad2square =*/ true))
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clip_image_f32_batch img_res_v;
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img_res_v.size = 0;
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img_res_v.data = nullptr;
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if (!clip_image_preprocess(clp_ctx, img.img_data, img_res_v))
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{
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LOG_TEE("Error processing the given image");
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clip_free(clp_ctx);
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clip_image_f32_free(img_res_v.data);
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return false;
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}
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// note: assumes only one image was returned by clip_image_preprocess
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clip_image_f32 * img_res = img_res_v.data;
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img.image_tokens = clip_n_patches(clp_ctx);
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img.image_embedding = (float *)malloc(clip_embd_nbytes(clp_ctx));
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if (!img.image_embedding)
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@ -989,7 +996,9 @@ struct llama_server_context
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LOG_TEE("Unable to encode image\n");
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return false;
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}
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clip_image_f32_free(img_res);
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clip_image_f32_free(img_res_v.data);
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img.request_encode_image = false;
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}
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