[Question]: 当我在使用PPDiffuser时调用fastdeploy出现了如下的错误，请问如何解决

[Siri-2001]

请提出你的问题

The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['']
Traceback (most recent call last):
File "main.py", line 34, in
image_text2img = fd_pipe.text2img(prompt=prompt, num_inference_steps=50).images[0]
File "/root/miniconda3/lib/python3.8/site-packages/ppdiffusers-0.14.2-py3.8.egg/ppdiffusers/pipelines/stable_diffusion/pipeline_fastdeploy_stable_diffusion_mega.py", line 91, in text2img
output = temp_pipeline(
File "/root/miniconda3/lib/python3.8/site-packages/ppdiffusers-0.14.2-py3.8.egg/ppdiffusers/pipelines/stable_diffusion/pipeline_fastdeploy_stable_diffusion.py", line 368, in call
text_embeddings = self._encode_prompt(
File "/root/miniconda3/lib/python3.8/site-packages/ppdiffusers-0.14.2-py3.8.egg/ppdiffusers/pipelines/stable_diffusion/pipeline_fastdeploy_stable_diffusion.py", line 160, in _encode_prompt
text_embeddings = self.text_encoder(input_ids=text_input_ids.astype(np.int64))[0]
File "/root/miniconda3/lib/python3.8/site-packages/ppdiffusers-0.14.2-py3.8.egg/ppdiffusers/pipelines/fastdeploy_utils.py", line 102, in call
return self.model.infer(inputs)
File "/root/miniconda3/lib/python3.8/site-packages/fastdeploy/runtime.py", line 64, in infer
return self._runtime.infer(data)
OSError:

---

C++ Traceback (most recent call last):

0 paddle::AnalysisPredictor::ZeroCopyRun()
1 paddle::framework::OperatorBase::Run(paddle::framework::Scope const&, phi::Place const&)
2 paddle::framework::OperatorWithKernel::RunImpl(paddle::framework::Scope const&, phi::Place const&) const
3 paddle::framework::OperatorWithKernel::RunImpl(paddle::framework::Scope const&, phi::Place const&, paddle::framework::RuntimeContext*) const
4 paddle::framework::StructKernelImpl<paddle::operators::MultiHeadMatMulV2Kernel<float, phi::GPUContext>, void>::Compute(phi::KernelContext*)
5 paddle::operators::MultiHeadMatMulV2Kernel<float, phi::GPUContext>::Compute(paddle::framework::ExecutionContext const&) const
6 void phi::funcs::Blasphi::GPUContext::MatMul(phi::DenseTensor const&, bool, phi::DenseTensor const&, bool, float, phi::DenseTensor*, float) const
7 void phi::funcs::Blasphi::GPUContext::GEMM(CBLAS_TRANSPOSE, CBLAS_TRANSPOSE, int, int, int, float, float const*, float const*, float, float*) const
8 phi::GPUContext::CublasCall(std::function<void (cublasContext*)> const&) const
9 phi::GPUContext::Impl::CublasCall(std::function<void (cublasContext*)> const&)::{lambda()#1}::operator()() const
10 phi::enforce::EnforceNotMet::EnforceNotMet(phi::ErrorSummary const&, char const*, int)
11 phi::enforce::GetCurrentTraceBackStringabi:cxx11

---

Error Message Summary:

ExternalError: CUBLAS error(7).
[Hint: Please search for the error code(7) on website (https://docs.nvidia.com/cuda/cublas/index.html#cublasstatus_t) to get Nvidia's official solution and advice about CUBLAS Error.] (at /home/fastdeploy/develop/paddle_build/v0.0.0/Paddle/paddle/fluid/inference/api/resource_manager.cc:282)

[w5688414]

PPDiffuser相关的内容请移步paddlemix。

https://github.com/PaddlePaddle/PaddleMIX