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clip_onnx.py
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clip_onnx.py
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import os
from typing import Dict, Optional
from clip_server.model.pretrained_models import (
download_model,
_OPENCLIP_MODELS,
_MULTILINGUALCLIP_MODELS,
)
from clip_server.model.clip_model import BaseCLIPModel
_S3_BUCKET = (
'https://clip-as-service.s3.us-east-2.amazonaws.com/models/onnx/' # Deprecated
)
_S3_BUCKET_V2 = 'https://clip-as-service.s3.us-east-2.amazonaws.com/models-436c69702d61732d53657276696365/onnx/'
_MODELS = {
'RN50::openai': (
('RN50/textual.onnx', '722418bfe47a1f5c79d1f44884bb3103'),
('RN50/visual.onnx', '5761475db01c3abb68a5a805662dcd10'),
),
'RN50::yfcc15m': (
('RN50-yfcc15m/textual.onnx', '4ff2ea7228b9d2337b5440d1955c2108'),
('RN50-yfcc15m/visual.onnx', '87daa9b4a67449b5390a9a73b8c15772'),
),
'RN50::cc12m': (
('RN50-cc12m/textual.onnx', '78fa0ae0ea47aca4b8864f709c48dcec'),
('RN50-cc12m/visual.onnx', '0e04bf92f3c181deea2944e322ebee77'),
),
'RN101::openai': (
('RN101/textual.onnx', '2d9efb7d184c0d68a369024cedfa97af'),
('RN101/visual.onnx', '0297ebc773af312faab54f8b5a622d71'),
),
'RN101::yfcc15m': (
('RN101-yfcc15m/textual.onnx', '7aa2a4e3d5b960998a397a6712389f08'),
('RN101-yfcc15m/visual.onnx', '681a72dd91c9c79464947bf29b623cb4'),
),
'RN50x4::openai': (
('RN50x4/textual.onnx', 'd9d63d3fe35fb14d4affaa2c4e284005'),
('RN50x4/visual.onnx', '16afe1e35b85ad862e8bbdb12265c9cb'),
),
'RN50x16::openai': (
('RN50x16/textual.onnx', '1525785494ff5307cadc6bfa56db6274'),
('RN50x16/visual.onnx', '2a293d9c3582f8abe29c9999e47d1091'),
),
'RN50x64::openai': (
('RN50x64/textual.onnx', '3ae8ade74578eb7a77506c11bfbfaf2c'),
('RN50x64/visual.onnx', '1341f10b50b3aca6d2d5d13982cabcfc'),
),
'ViT-B-32::openai': (
('ViT-B-32/textual.onnx', 'bd6d7871e8bb95f3cc83aff3398d7390'),
('ViT-B-32/visual.onnx', '88c6f38e522269d6c04a85df18e6370c'),
),
'ViT-B-32::laion2b_e16': (
('ViT-B-32-laion2b_e16/textual.onnx', 'aa6eac88fe77d21f337e806417957497'),
('ViT-B-32-laion2b_e16/visual.onnx', '0cdc00a9dfad560153d40aced9df0c8f'),
),
'ViT-B-32::laion400m_e31': (
('ViT-B-32-laion400m_e31/textual.onnx', '832f417bf1b3f1ced8f9958eda71665c'),
('ViT-B-32-laion400m_e31/visual.onnx', '62326b925ae342313d4cc99c2741b313'),
),
'ViT-B-32::laion400m_e32': (
('ViT-B-32-laion400m_e32/textual.onnx', '93284915937ba42a2b52ae8d3e5283a0'),
('ViT-B-32-laion400m_e32/visual.onnx', 'db220821a31fe9795fd8c2ba419078c5'),
),
'ViT-B-32::laion2b-s34b-b79k': (
('ViT-B-32-laion2b-s34b-b79k/textual.onnx', '84af5ae53da56464c76e67fe50fddbe9'),
('ViT-B-32-laion2b-s34b-b79k/visual.onnx', 'a2d4cbd1cf2632cd09ffce9b40bfd8bd'),
),
'ViT-B-16::openai': (
('ViT-B-16/textual.onnx', '6f0976629a446f95c0c8767658f12ebe'),
('ViT-B-16/visual.onnx', 'd5c03bfeef1abbd9bede54a8f6e1eaad'),
),
'ViT-B-16::laion400m_e31': (
('ViT-B-16-laion400m_e31/textual.onnx', '5db27763c06c06c727c90240264bf4f7'),
('ViT-B-16-laion400m_e31/visual.onnx', '04a6a780d855a36eee03abca64cd5361'),
),
'ViT-B-16::laion400m_e32': (
('ViT-B-16-laion400m_e32/textual.onnx', '9abe000a51b6f1cbaac8fde601b16725'),
('ViT-B-16-laion400m_e32/visual.onnx', 'd38c144ac3ad7fbc1966f88ff8fa522f'),
),
'ViT-B-16-plus-240::laion400m_e31': (
(
'ViT-B-16-plus-240-laion400m_e31/textual.onnx',
'2b524e7a530a98010cc7e57756937c5c',
),
(
'ViT-B-16-plus-240-laion400m_e31/visual.onnx',
'a78989da3300fd0c398a9877dd26a9f1',
),
),
'ViT-B-16-plus-240::laion400m_e32': (
(
'ViT-B-16-plus-240-laion400m_e32/textual.onnx',
'53c8d26726b386ca0749207876482907',
),
(
'ViT-B-16-plus-240-laion400m_e32/visual.onnx',
'7a32c4272c1ee46f734486570d81584b',
),
),
'ViT-L-14::openai': (
('ViT-L-14/textual.onnx', '325380b31af4837c2e0d9aba2fad8e1b'),
('ViT-L-14/visual.onnx', '53f5b319d3dc5d42572adea884e31056'),
),
'ViT-L-14::laion400m_e31': (
('ViT-L-14-laion400m_e31/textual.onnx', '36216b85e32668ea849730a54e1e09a4'),
('ViT-L-14-laion400m_e31/visual.onnx', '15fa5a24916e2a58325c5cf70350c300'),
),
'ViT-L-14::laion400m_e32': (
('ViT-L-14-laion400m_e32/textual.onnx', '8ba5b76ba71992923470c0261b10a67c'),
('ViT-L-14-laion400m_e32/visual.onnx', '49db3ba92bd816001e932530ad92d76c'),
),
'ViT-L-14::laion2b-s32b-b82k': (
('ViT-L-14-laion2b-s32b-b82k/textual.onnx', 'da36a6cbed4f56abf576fdea8b6fe2ee'),
('ViT-L-14-laion2b-s32b-b82k/visual.onnx', '1e337a190abba6a8650237dfae4740b7'),
),
'ViT-L-14-336::openai': (
('ViT-L-14@336px/textual.onnx', '78fab479f136403eed0db46f3e9e7ed2'),
('ViT-L-14@336px/visual.onnx', 'f3b1f5d55ca08d43d749e11f7e4ba27e'),
),
'ViT-H-14::laion2b-s32b-b79k': (
('ViT-H-14-laion2b-s32b-b79k/textual.onnx', '41e73c0c871d0e8e5d5e236f917f1ec3'),
('ViT-H-14-laion2b-s32b-b79k/visual.zip', '38151ea5985d73de94520efef38db4e7'),
),
'ViT-g-14::laion2b-s12b-b42k': (
('ViT-g-14-laion2b-s12b-b42k/textual.onnx', 'e597b7ab4414ecd92f715d47e79a033f'),
('ViT-g-14-laion2b-s12b-b42k/visual.zip', '6d0ac4329de9b02474f4752a5d16ba82'),
),
# older version name format
'RN50': (
('RN50/textual.onnx', '722418bfe47a1f5c79d1f44884bb3103'),
('RN50/visual.onnx', '5761475db01c3abb68a5a805662dcd10'),
),
'RN101': (
('RN101/textual.onnx', '2d9efb7d184c0d68a369024cedfa97af'),
('RN101/visual.onnx', '0297ebc773af312faab54f8b5a622d71'),
),
'RN50x4': (
('RN50x4/textual.onnx', 'd9d63d3fe35fb14d4affaa2c4e284005'),
('RN50x4/visual.onnx', '16afe1e35b85ad862e8bbdb12265c9cb'),
),
'RN50x16': (
('RN50x16/textual.onnx', '1525785494ff5307cadc6bfa56db6274'),
('RN50x16/visual.onnx', '2a293d9c3582f8abe29c9999e47d1091'),
),
'RN50x64': (
('RN50x64/textual.onnx', '3ae8ade74578eb7a77506c11bfbfaf2c'),
('RN50x64/visual.onnx', '1341f10b50b3aca6d2d5d13982cabcfc'),
),
'ViT-B/32': (
('ViT-B-32/textual.onnx', 'bd6d7871e8bb95f3cc83aff3398d7390'),
('ViT-B-32/visual.onnx', '88c6f38e522269d6c04a85df18e6370c'),
),
'ViT-B/16': (
('ViT-B-16/textual.onnx', '6f0976629a446f95c0c8767658f12ebe'),
('ViT-B-16/visual.onnx', 'd5c03bfeef1abbd9bede54a8f6e1eaad'),
),
'ViT-L/14': (
('ViT-L-14/textual.onnx', '325380b31af4837c2e0d9aba2fad8e1b'),
('ViT-L-14/visual.onnx', '53f5b319d3dc5d42572adea884e31056'),
),
'ViT-L/14@336px': (
('ViT-L-14@336px/textual.onnx', '78fab479f136403eed0db46f3e9e7ed2'),
('ViT-L-14@336px/visual.onnx', 'f3b1f5d55ca08d43d749e11f7e4ba27e'),
),
# MultilingualCLIP models
'M-CLIP/LABSE-Vit-L-14': (
('M-CLIP-LABSE-Vit-L-14/textual.onnx', '03727820116e63c7d19c72bb5d839488'),
('M-CLIP-LABSE-Vit-L-14/visual.onnx', 'a78028eab30084c3913edfb0c8411f15'),
),
'M-CLIP/XLM-Roberta-Large-Vit-B-32': (
(
'M-CLIP-XLM-Roberta-Large-Vit-B-32/textual.zip',
'41f51ec9af4754d11c7b7929e2caf5b9',
),
(
'M-CLIP-XLM-Roberta-Large-Vit-B-32/visual.onnx',
'5f18f68ac94e294863bfd1f695c8c5ca',
),
),
'M-CLIP/XLM-Roberta-Large-Vit-B-16Plus': (
(
'M-CLIP-XLM-Roberta-Large-Vit-B-16Plus/textual.zip',
'6c3e55f7d2d6c12f2c1f1dd36fdec607',
),
(
'M-CLIP-XLM-Roberta-Large-Vit-B-16Plus/visual.onnx',
'467a3ef3e5f50abcf850c3db9e705f8e',
),
),
'M-CLIP/XLM-Roberta-Large-Vit-L-14': (
(
'M-CLIP-XLM-Roberta-Large-Vit-L-14/textual.zip',
'3dff00335dc3093acb726dab975ae57d',
),
(
'M-CLIP-XLM-Roberta-Large-Vit-L-14/visual.onnx',
'a78028eab30084c3913edfb0c8411f15',
),
),
}
class CLIPOnnxModel(BaseCLIPModel):
def __init__(
self, name: str, model_path: str = None, dtype: Optional[str] = 'fp32'
):
super().__init__(name)
self._dtype = dtype
if name in _MODELS:
if not model_path:
cache_dir = os.path.expanduser(
f'~/.cache/clip/{name.replace("/", "-").replace("::", "-")}'
)
textual_model_name, textual_model_md5 = _MODELS[name][0]
self._textual_path = download_model(
url=_S3_BUCKET_V2 + textual_model_name,
target_folder=cache_dir,
md5sum=textual_model_md5,
with_resume=True,
)
visual_model_name, visual_model_md5 = _MODELS[name][1]
self._visual_path = download_model(
url=_S3_BUCKET_V2 + visual_model_name,
target_folder=cache_dir,
md5sum=visual_model_md5,
with_resume=True,
)
else:
if os.path.isdir(model_path):
self._textual_path = os.path.join(model_path, 'textual.onnx')
self._visual_path = os.path.join(model_path, 'visual.onnx')
if not os.path.isfile(self._textual_path) or not os.path.isfile(
self._visual_path
):
raise RuntimeError(
f'The given model path {model_path} does not contain `textual.onnx` and `visual.onnx`'
)
else:
raise RuntimeError(
f'The given model path {model_path} should be a folder containing both '
f'`textual.onnx` and `visual.onnx`.'
)
else:
raise RuntimeError(
'CLIP model {} not found or not supports ONNX backend; below is a list of all available models:\n{}'.format(
name,
''.join(['\t- {}\n'.format(i) for i in list(_MODELS.keys())]),
)
)
@staticmethod
def get_model_name(name: str):
if name in _OPENCLIP_MODELS:
from clip_server.model.openclip_model import OpenCLIPModel
return OpenCLIPModel.get_model_name(name)
elif name in _MULTILINGUALCLIP_MODELS:
from clip_server.model.mclip_model import MultilingualCLIPModel
return MultilingualCLIPModel.get_model_name(name)
return name
def start_sessions(
self,
dtype,
**kwargs,
):
import onnxruntime as ort
def _load_session(model_path: str, model_type: str, dtype: str):
if model_path.endswith('.zip') or dtype == 'fp16':
import tempfile
with tempfile.TemporaryDirectory() as tmp_dir:
tmp_model_path = tmp_dir + f'/{model_type}.onnx'
if model_path.endswith('.zip'):
import zipfile
with zipfile.ZipFile(model_path, 'r') as zip_ref:
zip_ref.extractall(tmp_dir)
model_path = tmp_model_path
if dtype == 'fp16':
import onnx
from onnxmltools.utils import float16_converter
model_fp16 = (
float16_converter.convert_float_to_float16_model_path(
model_path
)
)
onnx.save_model(model_fp16, tmp_model_path)
return ort.InferenceSession(tmp_model_path, **kwargs)
return ort.InferenceSession(model_path, **kwargs)
self._visual_session = _load_session(self._visual_path, 'visual', dtype)
self._textual_session = _load_session(self._textual_path, 'textual', dtype)
self._visual_session.disable_fallback()
self._textual_session.disable_fallback()
def encode_image(self, image_input: Dict):
(visual_output,) = self._visual_session.run(None, image_input)
return visual_output
def encode_text(self, text_input: Dict):
(textual_output,) = self._textual_session.run(None, text_input)
return textual_output