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* server : (experimental) vision support via libmtmd * mtmd : add more api around mtmd_image_tokens * mtmd : add more api around mtmd_image_tokens * mtmd : ability to calc image hash * shared_ptr for mtmd_image_tokens * move hash to user-define ID (fixed) * abstract out the batch management * small fix * refactor logic adding tokens to batch * implement hashing image * use FNV hash, now hash bitmap instead of file data * allow decoding image embedding to be split into batches * rm whitespace * disable some features when mtmd is on * fix --no-mmproj-offload * mtmd_context_params no timings * refactor server_inp to server_tokens * fix the failing test case * init * wip * working version * add mtmd::bitmaps * add test target * rm redundant define * test: mtmd_input_chunks_free * rm outdated comment * fix merging issue * explicitly create mtmd::input_chunks * mtmd_input_chunk_copy * add clone() * improve server_input struct * clip : fix confused naming ffn_up and ffn_down * rm ffn_i/o/g naming * rename n_embd, n_ff * small fix * no check n_ff * fix detokenize * add const to various places * add warning about breaking changes * add c api * helper: use mtmd_image_tokens_get_n_pos * fix ctx_shift * fix name shadowing * more strict condition * support remote image_url * remote image_url log * add CI test * do not log base64 * add "has_multimodal" to /props * remove dangling image * speculative: use slot.cache_tokens.insert * Apply suggestions from code review Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * rm can_be_detokenized * on prmpt processing done, assert cache_tokens.size * handle_completions_impl returns void * adapt the new web ui * update docs and hot topics * rm assert * small fix (2) --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
60 lines
2.2 KiB
Python
60 lines
2.2 KiB
Python
import pytest
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from utils import *
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import base64
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import requests
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server: ServerProcess
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IMG_URL_0 = "https://huggingface.co/ggml-org/tinygemma3-GGUF/resolve/main/test/11_truck.png"
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IMG_URL_1 = "https://huggingface.co/ggml-org/tinygemma3-GGUF/resolve/main/test/91_cat.png"
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response = requests.get(IMG_URL_0)
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response.raise_for_status() # Raise an exception for bad status codes
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IMG_BASE64_0 = "data:image/png;base64," + base64.b64encode(response.content).decode("utf-8")
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@pytest.fixture(autouse=True)
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def create_server():
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global server
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server = ServerPreset.tinygemma3()
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@pytest.mark.parametrize(
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"prompt, image_url, success, re_content",
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[
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# test model is trained on CIFAR-10, but it's quite dumb due to small size
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("What is this:\n", IMG_URL_0, True, "(cat)+"),
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("What is this:\n", "IMG_BASE64_0", True, "(cat)+"), # exceptional, so that we don't cog up the log
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("What is this:\n", IMG_URL_1, True, "(frog)+"),
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("Test test\n", IMG_URL_1, True, "(frog)+"), # test invalidate cache
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("What is this:\n", "malformed", False, None),
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("What is this:\n", "https://google.com/404", False, None), # non-existent image
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("What is this:\n", "https://ggml.ai", False, None), # non-image data
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]
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)
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def test_vision_chat_completion(prompt, image_url, success, re_content):
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global server
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server.start(timeout_seconds=60) # vision model may take longer to load due to download size
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if image_url == "IMG_BASE64_0":
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image_url = IMG_BASE64_0
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res = server.make_request("POST", "/chat/completions", data={
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"temperature": 0.0,
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"top_k": 1,
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"messages": [
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{"role": "user", "content": [
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{"type": "text", "text": prompt},
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{"type": "image_url", "image_url": {
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"url": image_url,
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}},
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]},
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],
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})
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if success:
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assert res.status_code == 200
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choice = res.body["choices"][0]
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assert "assistant" == choice["message"]["role"]
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assert match_regex(re_content, choice["message"]["content"])
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else:
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assert res.status_code != 200
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