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Python: Fix Onnx Connector Memory Problem with Onnx #9716

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Python: Fix Onnx Connector Memory Problem with Onnx #9716

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0c4cc1b
fix onnx memory problem
nmoeller Nov 15, 2024
a9d5d08
Merge branch 'main' into fix-onnx-memory-bug
nmoeller Nov 18, 2024
fb74e2a
Merge branch 'main' into fix-onnx-memory-bug
nmoeller Nov 25, 2024
90f0f2a
Merge branch 'main' into fix-onnx-memory-bug
TaoChenOSU Nov 25, 2024
b3f7aaa
Merge branch 'main' into fix-onnx-memory-bug
TaoChenOSU Nov 25, 2024
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30 changes: 12 additions & 18 deletions python/semantic_kernel/connectors/ai/onnx/services/onnx_gen_ai_completion_base.py
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Original file line number Diff line number Diff line change
Expand Up @@ -53,31 +53,25 @@ def __init__(self, ai_model_path: str, **kwargs) -> None:
**kwargs,
)

def _prepare_input_params(
self, prompt: str, settings: OnnxGenAIPromptExecutionSettings, image: ImageContent | None = None
) -> Any:
params = OnnxRuntimeGenAi.GeneratorParams(self.model)
params.set_search_options(**settings.prepare_settings_dict())
if not self.enable_multi_modality:
input_tokens = self.tokenizer.encode(prompt)
params.input_ids = input_tokens
else:
if image is not None:
# With the use of Pybind there is currently no way to load images from bytes
# We can only open images from a file path currently
image = OnnxRuntimeGenAi.Images.open(str(image.uri))
input_tokens = self.tokenizer(prompt, images=image)
params.set_inputs(input_tokens)
return params

async def _generate_next_token_async(
self,
prompt: str,
settings: OnnxGenAIPromptExecutionSettings,
image: ImageContent | None = None,
) -> AsyncGenerator[list[str], Any]:
try:
params = self._prepare_input_params(prompt, settings, image)
params = OnnxRuntimeGenAi.GeneratorParams(self.model)
params.set_search_options(**settings.prepare_settings_dict())
if not self.enable_multi_modality:
input_tokens = self.tokenizer.encode(prompt)
params.input_ids = input_tokens
else:
if image is not None:
# With the use of Pybind there is currently no way to load images from bytes
# We can only open images from a file path currently
image = OnnxRuntimeGenAi.Images.open(str(image.uri))
input_tokens = self.tokenizer(prompt, images=image)
params.set_inputs(input_tokens)
generator = OnnxRuntimeGenAi.Generator(self.model, params)

while not generator.is_done():
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