File size: 6,938 Bytes
8efb28e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 | import pytest
from utils import *
import base64
import requests
server: ServerProcess
def get_img_url(id: str) -> str:
IMG_URL_0 = "https://huggingface.co/ggml-org/tinygemma3-GGUF/resolve/main/test/11_truck.png"
IMG_URL_1 = "https://huggingface.co/ggml-org/tinygemma3-GGUF/resolve/main/test/91_cat.png"
if id == "IMG_URL_0":
return IMG_URL_0
elif id == "IMG_URL_1":
return IMG_URL_1
elif id == "IMG_BASE64_URI_0":
response = requests.get(IMG_URL_0)
response.raise_for_status() # Raise an exception for bad status codes
return "data:image/png;base64," + base64.b64encode(response.content).decode("utf-8")
elif id == "IMG_BASE64_0":
response = requests.get(IMG_URL_0)
response.raise_for_status() # Raise an exception for bad status codes
return base64.b64encode(response.content).decode("utf-8")
elif id == "IMG_BASE64_URI_1":
response = requests.get(IMG_URL_1)
response.raise_for_status() # Raise an exception for bad status codes
return "data:image/png;base64," + base64.b64encode(response.content).decode("utf-8")
elif id == "IMG_BASE64_1":
response = requests.get(IMG_URL_1)
response.raise_for_status() # Raise an exception for bad status codes
return base64.b64encode(response.content).decode("utf-8")
else:
return id
JSON_MULTIMODAL_KEY = "multimodal_data"
JSON_PROMPT_STRING_KEY = "prompt_string"
@pytest.fixture(autouse=True)
def create_server():
global server
os.environ['LLAMA_MEDIA_MARKER'] = '<__media__>'
server = ServerPreset.tinygemma3()
def test_models_supports_multimodal_capability():
global server
server.start()
res = server.make_request("GET", "/models", data={})
assert res.status_code == 200
model_info = res.body["models"][0]
print(model_info)
assert "completion" in model_info["capabilities"]
assert "multimodal" in model_info["capabilities"]
def test_v1_models_supports_multimodal_capability():
global server
server.start()
res = server.make_request("GET", "/v1/models", data={})
assert res.status_code == 200
model_info = res.body["models"][0]
print(model_info)
assert "completion" in model_info["capabilities"]
assert "multimodal" in model_info["capabilities"]
@pytest.mark.parametrize(
"prompt, image_url, success, re_content",
[
# test model is trained on CIFAR-10, but it's quite dumb due to small size
("What is this:\n", "IMG_URL_0", True, "(cat)+"),
("What is this:\n", "IMG_BASE64_URI_0", True, "(cat)+"),
("What is this:\n", "IMG_URL_1", True, "(frog)+"),
("Test test\n", "IMG_URL_1", True, "(frog)+"), # test invalidate cache
("What is this:\n", "malformed", False, None),
("What is this:\n", "https://google.com/404", False, None), # non-existent image
("What is this:\n", "https://ggml.ai", False, None), # non-image data
# TODO @ngxson : test with multiple images, no images and with audio
]
)
def test_vision_chat_completion(prompt, image_url, success, re_content):
global server
server.start()
res = server.make_request("POST", "/chat/completions", data={
"temperature": 0.0,
"top_k": 1,
"messages": [
{"role": "user", "content": [
{"type": "text", "text": prompt},
{"type": "image_url", "image_url": {
"url": get_img_url(image_url),
}},
]},
],
})
if success:
assert res.status_code == 200
choice = res.body["choices"][0]
assert "assistant" == choice["message"]["role"]
assert match_regex(re_content, choice["message"]["content"])
else:
assert res.status_code != 200
def test_vision_chat_completion_token_count():
global server
server.start()
res = server.make_request("POST", "/chat/completions/input_tokens", data={
"temperature": 0.0,
"top_k": 1,
"messages": [
{"role": "user", "content": [
{"type": "text", "text": "What is this:"},
{"type": "image_url", "image_url": {
"url": get_img_url("IMG_URL_0"),
}},
]},
],
})
assert res.status_code == 200
assert res.body["input_tokens"] > 10
@pytest.mark.parametrize(
"prompt, image_data, success, re_content",
[
# test model is trained on CIFAR-10, but it's quite dumb due to small size
("What is this: <__media__>\n", "IMG_BASE64_0", True, "(cat)+"),
("What is this: <__media__>\n", "IMG_BASE64_1", True, "(frog)+"),
("What is this: <__media__>\n", "malformed", False, None), # non-image data
("What is this:\n", "", False, None), # empty string
]
)
def test_vision_completion(prompt, image_data, success, re_content):
global server
server.start()
res = server.make_request("POST", "/completions", data={
"temperature": 0.0,
"top_k": 1,
"prompt": {
JSON_PROMPT_STRING_KEY: prompt,
JSON_MULTIMODAL_KEY: [ get_img_url(image_data) ],
},
})
if success:
assert res.status_code == 200
content = res.body["content"]
assert match_regex(re_content, content)
else:
assert res.status_code != 200
@pytest.mark.parametrize(
"prompt, image_data, success",
[
# test model is trained on CIFAR-10, but it's quite dumb due to small size
("What is this: <__media__>\n", "IMG_BASE64_0", True),
("What is this: <__media__>\n", "IMG_BASE64_1", True),
("What is this: <__media__>\n", "malformed", False), # non-image data
("What is this:\n", "base64", False), # non-image data
]
)
def test_vision_embeddings(prompt, image_data, success):
global server
server.server_embeddings = True
server.n_batch = 512
server.start()
image_data = get_img_url(image_data)
res = server.make_request("POST", "/embeddings", data={
"content": [
{ JSON_PROMPT_STRING_KEY: prompt, JSON_MULTIMODAL_KEY: [ image_data ] },
{ JSON_PROMPT_STRING_KEY: prompt, JSON_MULTIMODAL_KEY: [ image_data ] },
{ JSON_PROMPT_STRING_KEY: prompt, },
],
})
if success:
assert res.status_code == 200
content = res.body
# Ensure embeddings are stable when multimodal.
assert content[0]['embedding'] == content[1]['embedding']
# Ensure embeddings without multimodal but same prompt do not match multimodal embeddings.
assert content[0]['embedding'] != content[2]['embedding']
else:
assert res.status_code != 200
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