LEEay

Results 3 issues of LEEay

0.27调用tensorflow的pb模型崩溃（可以加载模型，推理时崩溃）

2 comment

## Description 0.27调用tensorflow的pb模型崩溃（可以加载模型，推理时崩溃） Java frames: (J=compiled Java code, j=interpreted, Vv=VM code) j org.tensorflow.internal.c_api.global.tensorflow.TF_SessionRun(Lorg/tensorflow/internal/c_api/TF_Session;Lorg/tensorflow/internal/c_api/TF_Buffer;Lorg/tensorflow/internal/c_api/TF_Output;Lorg/bytedeco/javacpp/PointerPointer;ILorg/tensorflow/internal/c_api/TF_Output;Lorg/bytedeco/javacpp/PointerPointer;ILorg/bytedeco/javacpp/PointerPointer;ILorg/tensorflow/internal/c_api/TF_Buffer;Lorg/tensorflow/internal/c_api/TF_Status;)V+0 j ai.djl.tensorflow.engine.javacpp.JavacppUtils.runSession(Lorg/tensorflow/internal/c_api/TF_Session;Lorg/tensorflow/proto/framework/RunOptions;[Lorg/tensorflow/internal/c_api/TF_Tensor;[Lorg/tensorflow/internal/c_api/TF_Operation;[I[Lorg/tensorflow/internal/c_api/TF_Operation;[I[Lorg/tensorflow/internal/c_api/TF_Operation;)[Lorg/tensorflow/internal/c_api/TF_Tensor;+270 j ai.djl.tensorflow.engine.TfSymbolBlock.forwardInternal(Lai/djl/training/ParameterStore;Lai/djl/ndarray/NDList;ZLai/djl/util/PairList;)Lai/djl/ndarray/NDList;+202 j ai.djl.nn.AbstractBaseBlock.forward(Lai/djl/training/ParameterStore;Lai/djl/ndarray/NDList;ZLai/djl/util/PairList;)Lai/djl/ndarray/NDList;+36 j ai.djl.nn.Block.forward(Lai/djl/training/ParameterStore;Lai/djl/ndarray/NDList;Z)Lai/djl/ndarray/NDList;+5 j ai.djl.inference.Predictor.predictInternal(Lai/djl/translate/TranslatorContext;Lai/djl/ndarray/NDList;)Lai/djl/ndarray/NDList;+21 j ai.djl.inference.Predictor.batchPredict(Ljava/util/List;)Ljava/util/List;+133 j ai.djl.inference.Predictor.predict(Ljava/lang/Object;)Ljava/lang/Object;+5 j com.fly.ai.wdtag.WdTagService.detect(Lai/djl/modality/cv/Image;)Lai/djl/modality/Classifications;+17 j...

bug

Caused by: java.lang.UnsatisfiedLinkError: C:\Users\liwan\.javacpp\cache\tensorflow-core-native-1.0.0-rc.1-windows-x86_64.jar\org\tensorflow\internal\c_api\windows-x86_64\jnitensorflow.dll: Can't find dependent libraries

12 comment

Caused by: java.lang.UnsatisfiedLinkError: C:\Users\liwan\.javacpp\cache\tensorflow-core-native-1.0.0-rc.1-windows-x86_64.jar\org\tensorflow\internal\c_api\windows-x86_64\jnitensorflow.dll: Can't find dependent libraries java 17

spring-ai-ollama-spring-boot-starter 1.0.0-M5的版本 使用defaultFunctions 方法，400错误

2 comment

本地使用ollama运行deepseekr1模型，embedding模型使用bge-m3， 使用defaultFunctions 方法会报错，不使用该方法是正常的 错误信息： ``` , chatOptions=org.springframework.ai.ollama.api.OllamaOptions@4923adda, media=[], functionNames=[getBookingDetails, changeBooking, cancelBooking], functionCallbacks=[], messages=[], userParams={}, systemParams={current_date=2025-02-14, memory=}, advisors=[org.springframework.ai.chat.client.DefaultChatClient$DefaultChatClientRequestSpec$1@57d06c89, org.springframework.ai.chat.client.DefaultChatClient$DefaultChatClientRequestSpec$2@238ca5e1, org.springframework.ai.chat.client.advisor.PromptChatMemoryAdvisor@d28cd3a, org.springframework.ai.chat.client.advisor.QuestionAnswerAdvisor@247b0495, ai.spring.demo.ai.playground.services.LoggingAdvisor@709b80b7, org.springframework.ai.chat.client.DefaultChatClient$DefaultChatClientRequestSpec$1@36fe90e8, org.springframework.ai.chat.client.DefaultChatClient$DefaultChatClientRequestSpec$2@7d74ca10], advisorParams={chat_memory_response_size=100, chat_memory_conversation_id=a7524516-7215-4447-b5df-74a7577b381f}, adviseContext={chat_memory_conversation_id=a7524516-7215-4447-b5df-74a7577b381f, chat_memory_response_size=100}, toolContext={}] 2025-02-14T09:39:30.784+08:00 ERROR...