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server
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parent
450400107b
commit
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79
llm/ext_server/server.cpp
vendored
79
llm/ext_server/server.cpp
vendored
@ -1040,6 +1040,7 @@ struct llama_server_context
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img.request_encode_image = false;
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img.request_encode_image = false;
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}
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}
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LOG_TEE("slot has images: %d\n", slot.images.size());
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return slot.images.size() > 0;
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return slot.images.size() > 0;
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}
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}
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@ -1271,6 +1272,71 @@ struct llama_server_context
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}
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}
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}
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}
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bool process_images_paligemma(server_slot &slot, int n_batch)
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{
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int n_past = 0;
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int image_idx = 0;
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slot_image &img = slot.images[image_idx];
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// rescale image embeddings
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float *data = img.image_embedding;
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for (int i = 0; i < 2048 * 256; i++)
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{
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data[i] = data[i] / sqrt(2048);
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}
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set_image_embeds(ctx, data);
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// generate user_prompt -> this should contain image tokens prepended and a new line appended:
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// batch.n_tokens += (int)slot.images.size() * llama_n_embd(model);
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std::vector<llama_token> tokens;
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std::string prompt = "What is in this image";
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std::vector<llama_token> text = ::llama_tokenize(ctx, prompt, false, true);
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for (int i = 0; i < (int)slot.images.size() * 256; i++)
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{
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tokens.push_back(257152);
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}
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tokens.push_back(2);
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printf("btach.n_tokens %d\n", batch.n_tokens);
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for (int i = 0; i < text.size(); i++)
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{
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// printf("token [%d]: %d\n", text[i]);
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tokens.push_back(text[i]);
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}
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tokens.push_back(108);
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batch.n_tokens = (int)slot.images.size() * 256 + 2 + text.size();
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for (int i = 0; i < batch.n_tokens; i++)
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{
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printf("token %d: %d\n", i, tokens[i]);
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}
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for (int i = 0; i < batch.n_tokens; i += n_batch)
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{
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printf("calling decode\n");
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int n_eval = (int)batch.n_tokens - i;
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if (n_eval > n_batch)
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{
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n_eval = n_batch;
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}
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printf("n_eval: %d, n_past: %d", n_eval, n_past);
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if (llama_decode(ctx, llama_batch_get_one(&tokens[i], n_eval, 0, 0)))
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{
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printf("%s : failed to eval. token %d/%d (batch size %d, n_past %d)\n", __func__, i, batch.n_tokens, n_batch, n_past);
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return false;
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}
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n_past += n_eval;
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}
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return true;
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}
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// for multiple images processing
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// for multiple images processing
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bool ingest_images(server_slot &slot, int n_batch)
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bool ingest_images(server_slot &slot, int n_batch)
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{
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{
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@ -1833,12 +1899,17 @@ struct llama_server_context
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slot_npast++;
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slot_npast++;
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}
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}
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if (has_images && !ingest_images(slot, n_batch))
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LOG_ERROR("checking has images", {
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{"has images", has_images},
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{"task_id", slot.task_id},
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});
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// if (has_images && !ingest_images(slot, n_batch))
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if (has_images && !process_images_paligemma(slot, n_batch))
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{
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{
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LOG_ERROR("failed processing images", {
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LOG_ERROR("failed processing images", {
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{"slot_id", slot.id},
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{"slot_id", slot.id},
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{"task_id", slot.task_id},
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{"task_id", slot.task_id},
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});
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});
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// FIXME @phymbert: to be properly tested
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// FIXME @phymbert: to be properly tested
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// early returning without changing the slot state will block the slot for ever
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// early returning without changing the slot state will block the slot for ever
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// no one at the moment is checking the return value
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// no one at the moment is checking the return value
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