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yuanzhoulvpi2017 / quick_sentence_transformers

sentence-transformers to onnx 让sbert模型推理效率更快
MIT License
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推理时模型维度报错 #2

Open ysujiang opened 2 years ago

ysujiang commented 2 years ago

File "torch_to_onnx.py", line 190, in conver_bert_torch_to_onnx() File "torch_to_onnx.py", line 104, in conver_bert_torch_to_onnx sess = onnxruntime.InferenceSession(MODEL_ONNX_PATH) File "/opt/conda/lib/python3.7/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 335, in init self._create_inference_session(providers, provider_options, disabled_optimizers) File "/opt/conda/lib/python3.7/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 379, in _create_inference_session sess.initialize_session(providers, provider_options, disabled_optimizers) onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Node (Squeeze_1169) Op (Squeeze) [ShapeInferenceError] Dimension of input 1 must be 1 instead of 768 有遇到过这样的问题吗

yuanzhoulvpi2017 commented 2 years ago

是不是模型选的不对，这个只是针对那一个模型做了加速，如果换别的模型，需要修改代码，目前我还没完备代码

ysujiang commented 2 years ago

我是用的pytorch_model.bin这个模型，需要改那一部分代码能否告知一下

zlszhonglongshen commented 2 years ago

哈哈，只是针对某一个模型才有用的~