machinelearning: ImageClassificationTrainer can't load model

System information

  • Windows 10 Pro
  • .NET 4.8 and .NET Core 3.1:
  • Memory 12GB
  • Processor Intel Core i7 CPU 950 @ 3.07GHz

Issue

  • Tried to train an image classification using the Model Builder.

Steps: Create a project. Add a Machine Learning through solution explorer, then in the ML.NET Model Builder:

  1. Scenario -> Image Classification
  2. Data -> A folder with around 8.000 images (.png) separated in 8 folders/categories.
  3. Train -> Start Training

It will result in a popup (image attached) saying “Model Builder Error”. Model Builder Error

> Output/log from Machine Learning output:
> |     Trainer                              MicroAccuracy  MacroAccuracy  Duration #Iteration                     |
> [Source=ImageClassificationTrainer; ImageClassificationTrainer, Kind=Trace] Channel started
> [Source=ImageClassificationTrainer; ImageClassificationTrainer, Kind=Trace] Channel started
> [Source=ImageClassificationTrainer; Ensuring meta files are present., Kind=Trace] Channel started
> [Source=ImageClassificationTrainer; Ensuring meta files are present., Kind=Trace] Channel finished. Elapsed 00:00:00.0003974.
> [Source=ImageClassificationTrainer; Ensuring meta files are present., Kind=Trace] Channel disposed
> [Source=AutoML, Kind=Error] Pipeline crashed: xf=ValueToKeyMapping{ col=Label:Label} xf=RawByteImageLoading{ col=ImageSource_featurized:ImageSource imageFolder=} xf=ColumnCopying{ col=Features:ImageSource_featurized} tr=ImageClassification{} xf=KeyToValueMapping{ col=PredictedLabel:PredictedLabel} cache=- . Exception: System.FormatException: Tensorflow exception triggered while loading model. ---> System.DllNotFoundException: Não é possível carregar a DLL 'tensorflow': Uma rotina de inicialização da biblioteca de vínculo dinâmico (DLL) falhou. (Exceção de HRESULT: 0x8007045A)
>    em Tensorflow.c_api.TF_NewGraph()
>    em Tensorflow.Graph..ctor()
>    em Microsoft.ML.TensorFlow.TensorFlowUtils.LoadMetaGraph(String path)
>    em Microsoft.ML.TensorFlow.TensorFlowUtils.LoadTFSessionByModelFilePath(IExceptionContext ectx, String modelFile, Boolean metaGraph)
>    --- Fim do rastreamento de pilha de exceções internas ---
>    em Microsoft.ML.TensorFlow.TensorFlowUtils.LoadTFSessionByModelFilePath(IExceptionContext ectx, String modelFile, Boolean metaGraph)
>    em Microsoft.ML.Vision.ImageClassificationTrainer.LoadTensorFlowSessionFromMetaGraph(IHostEnvironment env, Architecture arch)
>    em Microsoft.ML.Vision.ImageClassificationTrainer.InitializeTrainingGraph(IDataView input)
>    em Microsoft.ML.Vision.ImageClassificationTrainer.TrainModelCore(TrainContext trainContext)
>    em Microsoft.ML.Trainers.TrainerEstimatorBase`2.TrainTransformer(IDataView trainSet, IDataView validationSet, IPredictor initPredictor)
>    em Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input)
>    em Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input)
>    em Microsoft.ML.AutoML.RunnerUtil.TrainAndScorePipeline[TMetrics](MLContext context, SuggestedPipeline pipeline, IDataView trainData, IDataView validData, String labelColumn, IMetricsAgent`1 metricsAgent, ITransformer preprocessorTransform, FileInfo modelFileInfo, DataViewSchema modelInputSchema, IChannel logger)
> [Source=ImageClassificationTrainer; ImageClassificationTrainer, Kind=Trace] Channel started
> [Source=ImageClassificationTrainer; Ensuring meta files are present., Kind=Trace] Channel started
> [Source=ImageClassificationTrainer; Ensuring meta files are present., Kind=Trace] Channel finished. Elapsed 00:00:00.0004556.
> [Source=ImageClassificationTrainer; Ensuring meta files are present., Kind=Trace] Channel disposed
> [Source=AutoML, Kind=Error] Pipeline crashed: xf=ValueToKeyMapping{ col=Label:Label} xf=RawByteImageLoading{ col=ImageSource_featurized:ImageSource imageFolder=} xf=ColumnCopying{ col=Features:ImageSource_featurized} tr=ImageClassification{} xf=KeyToValueMapping{ col=PredictedLabel:PredictedLabel} cache=- . Exception: System.FormatException: Tensorflow exception triggered while loading model. ---> System.DllNotFoundException: Não é possível carregar a DLL 'tensorflow': Uma rotina de inicialização da biblioteca de vínculo dinâmico (DLL) falhou. (Exceção de HRESULT: 0x8007045A)
>    em Tensorflow.c_api.TF_NewGraph()
>    em Tensorflow.Graph..ctor()
>    em Microsoft.ML.TensorFlow.TensorFlowUtils.LoadMetaGraph(String path)
>    em Microsoft.ML.TensorFlow.TensorFlowUtils.LoadTFSessionByModelFilePath(IExceptionContext ectx, String modelFile, Boolean metaGraph)
>    --- Fim do rastreamento de pilha de exceções internas ---
>    em Microsoft.ML.TensorFlow.TensorFlowUtils.LoadTFSessionByModelFilePath(IExceptionContext ectx, String modelFile, Boolean metaGraph)
>    em Microsoft.ML.Vision.ImageClassificationTrainer.LoadTensorFlowSessionFromMetaGraph(IHostEnvironment env, Architecture arch)
>    em Microsoft.ML.Vision.ImageClassificationTrainer.InitializeTrainingGraph(IDataView input)
>    em Microsoft.ML.Vision.ImageClassificationTrainer.TrainModelCore(TrainContext trainContext)
>    em Microsoft.ML.Trainers.TrainerEstimatorBase`2.TrainTransformer(IDataView trainSet, IDataView validationSet, IPredictor initPredictor)
>    em Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input)
>    em Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input)
>    em Microsoft.ML.AutoML.RunnerUtil.TrainAndScorePipeline[TMetrics](MLContext context, SuggestedPipeline pipeline, IDataView trainData, IDataView validData, String labelColumn, IMetricsAgent`1 metricsAgent, ITransformer preprocessorTransform, FileInfo modelFileInfo, DataViewSchema modelInputSchema, IChannel logger)
> [Source=ImageClassificationTrainer; ImageClassificationTrainer, Kind=Trace] Channel started
> [Source=ImageClassificationTrainer; Ensuring meta files are present., Kind=Trace] Channel started
> [Source=ImageClassificationTrainer; Ensuring meta files are present., Kind=Trace] Channel finished. Elapsed 00:00:00.0003859.
> [Source=ImageClassificationTrainer; Ensuring meta files are present., Kind=Trace] Channel disposed
> [Source=AutoML, Kind=Error] Pipeline crashed: xf=ValueToKeyMapping{ col=Label:Label} xf=RawByteImageLoading{ col=ImageSource_featurized:ImageSource imageFolder=} xf=ColumnCopying{ col=Features:ImageSource_featurized} tr=ImageClassification{} xf=KeyToValueMapping{ col=PredictedLabel:PredictedLabel} cache=- . Exception: System.FormatException: Tensorflow exception triggered while loading model. ---> System.DllNotFoundException: Não é possível carregar a DLL 'tensorflow': Uma rotina de inicialização da biblioteca de vínculo dinâmico (DLL) falhou. (Exceção de HRESULT: 0x8007045A)
>    em Tensorflow.c_api.TF_NewGraph()
>    em Tensorflow.Graph..ctor()
>    em Microsoft.ML.TensorFlow.TensorFlowUtils.LoadMetaGraph(String path)
>    em Microsoft.ML.TensorFlow.TensorFlowUtils.LoadTFSessionByModelFilePath(IExceptionContext ectx, String modelFile, Boolean metaGraph)
>    --- Fim do rastreamento de pilha de exceções internas ---
>    em Microsoft.ML.TensorFlow.TensorFlowUtils.LoadTFSessionByModelFilePath(IExceptionContext ectx, String modelFile, Boolean metaGraph)
>    em Microsoft.ML.Vision.ImageClassificationTrainer.LoadTensorFlowSessionFromMetaGraph(IHostEnvironment env, Architecture arch)
>    em Microsoft.ML.Vision.ImageClassificationTrainer.InitializeTrainingGraph(IDataView input)
>    em Microsoft.ML.Vision.ImageClassificationTrainer.TrainModelCore(TrainContext trainContext)
>    em Microsoft.ML.Trainers.TrainerEstimatorBase`2.TrainTransformer(IDataView trainSet, IDataView validationSet, IPredictor initPredictor)
>    em Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input)
>    em Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input)
>    em Microsoft.ML.AutoML.RunnerUtil.TrainAndScorePipeline[TMetrics](MLContext context, SuggestedPipeline pipeline, IDataView trainData, IDataView validData, String labelColumn, IMetricsAgent`1 metricsAgent, ITransformer preprocessorTransform, FileInfo modelFileInfo, DataViewSchema modelInputSchema, IChannel logger)
> [Source=ImageClassificationTrainer; ImageClassificationTrainer, Kind=Trace] Channel started
> [Source=ImageClassificationTrainer; Ensuring meta files are present., Kind=Trace] Channel started
> [Source=ImageClassificationTrainer; Ensuring meta files are present., Kind=Trace] Channel finished. Elapsed 00:00:00.0003999.
> [Source=ImageClassificationTrainer; Ensuring meta files are present., Kind=Trace] Channel disposed
> [Source=AutoML, Kind=Error] Pipeline crashed: xf=ValueToKeyMapping{ col=Label:Label} xf=RawByteImageLoading{ col=ImageSource_featurized:ImageSource imageFolder=} xf=ColumnCopying{ col=Features:ImageSource_featurized} tr=ImageClassification{} xf=KeyToValueMapping{ col=PredictedLabel:PredictedLabel} cache=- . Exception: System.FormatException: Tensorflow exception triggered while loading model. ---> System.DllNotFoundException: Não é possível carregar a DLL 'tensorflow': Uma rotina de inicialização da biblioteca de vínculo dinâmico (DLL) falhou. (Exceção de HRESULT: 0x8007045A)
>    em Tensorflow.c_api.TF_NewGraph()
>    em Tensorflow.Graph..ctor()
>    em Microsoft.ML.TensorFlow.TensorFlowUtils.LoadMetaGraph(String path)
>    em Microsoft.ML.TensorFlow.TensorFlowUtils.LoadTFSessionByModelFilePath(IExceptionContext ectx, String modelFile, Boolean metaGraph)
>    --- Fim do rastreamento de pilha de exceções internas ---
>    em Microsoft.ML.TensorFlow.TensorFlowUtils.LoadTFSessionByModelFilePath(IExceptionContext ectx, String modelFile, Boolean metaGraph)
>    em Microsoft.ML.Vision.ImageClassificationTrainer.LoadTensorFlowSessionFromMetaGraph(IHostEnvironment env, Architecture arch)
>    em Microsoft.ML.Vision.ImageClassificationTrainer.InitializeTrainingGraph(IDataView input)
>    em Microsoft.ML.Vision.ImageClassificationTrainer.TrainModelCore(TrainContext trainContext)
>    em Microsoft.ML.Trainers.TrainerEstimatorBase`2.TrainTransformer(IDataView trainSet, IDataView validationSet, IPredictor initPredictor)
>    em Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input)
>    em Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input)
>    em Microsoft.ML.AutoML.RunnerUtil.TrainAndScorePipeline[TMetrics](MLContext context, SuggestedPipeline pipeline, IDataView trainData, IDataView validData, String labelColumn, IMetricsAgent`1 metricsAgent, ITransformer preprocessorTransform, FileInfo modelFileInfo, DataViewSchema modelInputSchema, IChannel logger)
> [Source=ImageClassificationTrainer; ImageClassificationTrainer, Kind=Trace] Channel started
> [Source=ImageClassificationTrainer; Ensuring meta files are present., Kind=Trace] Channel started
> [Source=ImageClassificationTrainer; Ensuring meta files are present., Kind=Trace] Channel finished. Elapsed 00:00:00.0003329.
> [Source=ImageClassificationTrainer; Ensuring meta files are present., Kind=Trace] Channel disposed
> [Source=AutoML, Kind=Error] Pipeline crashed: xf=ValueToKeyMapping{ col=Label:Label} xf=RawByteImageLoading{ col=ImageSource_featurized:ImageSource imageFolder=} xf=ColumnCopying{ col=Features:ImageSource_featurized} tr=ImageClassification{} xf=KeyToValueMapping{ col=PredictedLabel:PredictedLabel} cache=- . Exception: System.FormatException: Tensorflow exception triggered while loading model. ---> System.DllNotFoundException: Não é possível carregar a DLL 'tensorflow': Uma rotina de inicialização da biblioteca de vínculo dinâmico (DLL) falhou. (Exceção de HRESULT: 0x8007045A)
>    em Tensorflow.c_api.TF_NewGraph()
>    em Tensorflow.Graph..ctor()
>    em Microsoft.ML.TensorFlow.TensorFlowUtils.LoadMetaGraph(String path)
>    em Microsoft.ML.TensorFlow.TensorFlowUtils.LoadTFSessionByModelFilePath(IExceptionContext ectx, String modelFile, Boolean metaGraph)
>    --- Fim do rastreamento de pilha de exceções internas ---
>    em Microsoft.ML.TensorFlow.TensorFlowUtils.LoadTFSessionByModelFilePath(IExceptionContext ectx, String modelFile, Boolean metaGraph)
>    em Microsoft.ML.Vision.ImageClassificationTrainer.LoadTensorFlowSessionFromMetaGraph(IHostEnvironment env, Architecture arch)
>    em Microsoft.ML.Vision.ImageClassificationTrainer.InitializeTrainingGraph(IDataView input)
>    em Microsoft.ML.Vision.ImageClassificationTrainer.TrainModelCore(TrainContext trainContext)
>    em Microsoft.ML.Trainers.TrainerEstimatorBase`2.TrainTransformer(IDataView trainSet, IDataView validationSet, IPredictor initPredictor)
>    em Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input)
>    em Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input)
>    em Microsoft.ML.AutoML.RunnerUtil.TrainAndScorePipeline[TMetrics](MLContext context, SuggestedPipeline pipeline, IDataView trainData, IDataView validData, String labelColumn, IMetricsAgent`1 metricsAgent, ITransformer preprocessorTransform, FileInfo modelFileInfo, DataViewSchema modelInputSchema, IChannel logger)
> [Source=ImageClassificationTrainer; ImageClassificationTrainer, Kind=Trace] Channel started
> [Source=ImageClassificationTrainer; Ensuring meta files are present., Kind=Trace] Channel started
> [Source=ImageClassificationTrainer; Ensuring meta files are present., Kind=Trace] Channel finished. Elapsed 00:00:00.0003310.
> [Source=ImageClassificationTrainer; Ensuring meta files are present., Kind=Trace] Channel disposed
> [Source=AutoML, Kind=Error] Pipeline crashed: xf=ValueToKeyMapping{ col=Label:Label} xf=RawByteImageLoading{ col=ImageSource_featurized:ImageSource imageFolder=} xf=ColumnCopying{ col=Features:ImageSource_featurized} tr=ImageClassification{} xf=KeyToValueMapping{ col=PredictedLabel:PredictedLabel} cache=- . Exception: System.FormatException: Tensorflow exception triggered while loading model. ---> System.DllNotFoundException: Não é possível carregar a DLL 'tensorflow': Uma rotina de inicialização da biblioteca de vínculo dinâmico (DLL) falhou. (Exceção de HRESULT: 0x8007045A)
>    em Tensorflow.c_api.TF_NewGraph()
>    em Tensorflow.Graph..ctor()
>    em Microsoft.ML.TensorFlow.TensorFlowUtils.LoadMetaGraph(String path)
>    em Microsoft.ML.TensorFlow.TensorFlowUtils.LoadTFSessionByModelFilePath(IExceptionContext ectx, String modelFile, Boolean metaGraph)
>    --- Fim do rastreamento de pilha de exceções internas ---
>    em Microsoft.ML.TensorFlow.TensorFlowUtils.LoadTFSessionByModelFilePath(IExceptionContext ectx, String modelFile, Boolean metaGraph)
>    em Microsoft.ML.Vision.ImageClassificationTrainer.LoadTensorFlowSessionFromMetaGraph(IHostEnvironment env, Architecture arch)
>    em Microsoft.ML.Vision.ImageClassificationTrainer.InitializeTrainingGraph(IDataView input)
>    em Microsoft.ML.Vision.ImageClassificationTrainer.TrainModelCore(TrainContext trainContext)
>    em Microsoft.ML.Trainers.TrainerEstimatorBase`2.TrainTransformer(IDataView trainSet, IDataView validationSet, IPredictor initPredictor)
>    em Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input)
>    em Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input)
>    em Microsoft.ML.AutoML.RunnerUtil.TrainAndScorePipeline[TMetrics](MLContext context, SuggestedPipeline pipeline, IDataView trainData, IDataView validData, String labelColumn, IMetricsAgent`1 metricsAgent, ITransformer preprocessorTransform, FileInfo modelFileInfo, DataViewSchema modelInputSchema, IChannel logger)
> [Source=ImageClassificationTrainer; ImageClassificationTrainer, Kind=Trace] Channel started
> [Source=ImageClassificationTrainer; Ensuring meta files are present., Kind=Trace] Channel started
> [Source=ImageClassificationTrainer; Ensuring meta files are present., Kind=Trace] Channel finished. Elapsed 00:00:00.0003954.
> [Source=ImageClassificationTrainer; Ensuring meta files are present., Kind=Trace] Channel disposed
> [Source=AutoML, Kind=Error] Pipeline crashed: xf=ValueToKeyMapping{ col=Label:Label} xf=RawByteImageLoading{ col=ImageSource_featurized:ImageSource imageFolder=} xf=ColumnCopying{ col=Features:ImageSource_featurized} tr=ImageClassification{} xf=KeyToValueMapping{ col=PredictedLabel:PredictedLabel} cache=- . Exception: System.FormatException: Tensorflow exception triggered while loading model. ---> System.DllNotFoundException: Não é possível carregar a DLL 'tensorflow': Uma rotina de inicialização da biblioteca de vínculo dinâmico (DLL) falhou. (Exceção de HRESULT: 0x8007045A)
>    em Tensorflow.c_api.TF_NewGraph()
>    em Tensorflow.Graph..ctor()
>    em Microsoft.ML.TensorFlow.TensorFlowUtils.LoadMetaGraph(String path)
>    em Microsoft.ML.TensorFlow.TensorFlowUtils.LoadTFSessionByModelFilePath(IExceptionContext ectx, String modelFile, Boolean metaGraph)
>    --- Fim do rastreamento de pilha de exceções internas ---
>    em Microsoft.ML.TensorFlow.TensorFlowUtils.LoadTFSessionByModelFilePath(IExceptionContext ectx, String modelFile, Boolean metaGraph)
>    em Microsoft.ML.Vision.ImageClassificationTrainer.LoadTensorFlowSessionFromMetaGraph(IHostEnvironment env, Architecture arch)
>    em Microsoft.ML.Vision.ImageClassificationTrainer.InitializeTrainingGraph(IDataView input)
>    em Microsoft.ML.Vision.ImageClassificationTrainer.TrainModelCore(TrainContext trainContext)
>    em Microsoft.ML.Trainers.TrainerEstimatorBase`2.TrainTransformer(IDataView trainSet, IDataView validationSet, IPredictor initPredictor)
>    em Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input)
>    em Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input)
>    em Microsoft.ML.AutoML.RunnerUtil.TrainAndScorePipeline[TMetrics](MLContext context, SuggestedPipeline pipeline, IDataView trainData, IDataView validData, String labelColumn, IMetricsAgent`1 metricsAgent, ITransformer preprocessorTransform, FileInfo modelFileInfo, DataViewSchema modelInputSchema, IChannel logger)
> [Source=ImageClassificationTrainer; ImageClassificationTrainer, Kind=Trace] Channel started
> [Source=ImageClassificationTrainer; Ensuring meta files are present., Kind=Trace] Channel started
> [Source=ImageClassificationTrainer; Ensuring meta files are present., Kind=Trace] Channel finished. Elapsed 00:00:00.0004090.
> [Source=ImageClassificationTrainer; Ensuring meta files are present., Kind=Trace] Channel disposed
> [Source=AutoML, Kind=Error] Pipeline crashed: xf=ValueToKeyMapping{ col=Label:Label} xf=RawByteImageLoading{ col=ImageSource_featurized:ImageSource imageFolder=} xf=ColumnCopying{ col=Features:ImageSource_featurized} tr=ImageClassification{} xf=KeyToValueMapping{ col=PredictedLabel:PredictedLabel} cache=- . Exception: System.FormatException: Tensorflow exception triggered while loading model. ---> System.DllNotFoundException: Não é possível carregar a DLL 'tensorflow': Uma rotina de inicialização da biblioteca de vínculo dinâmico (DLL) falhou. (Exceção de HRESULT: 0x8007045A)
>    em Tensorflow.c_api.TF_NewGraph()
>    em Tensorflow.Graph..ctor()
>    em Microsoft.ML.TensorFlow.TensorFlowUtils.LoadMetaGraph(String path)
>    em Microsoft.ML.TensorFlow.TensorFlowUtils.LoadTFSessionByModelFilePath(IExceptionContext ectx, String modelFile, Boolean metaGraph)
>    --- Fim do rastreamento de pilha de exceções internas ---
>    em Microsoft.ML.TensorFlow.TensorFlowUtils.LoadTFSessionByModelFilePath(IExceptionContext ectx, String modelFile, Boolean metaGraph)
>    em Microsoft.ML.Vision.ImageClassificationTrainer.LoadTensorFlowSessionFromMetaGraph(IHostEnvironment env, Architecture arch)
>    em Microsoft.ML.Vision.ImageClassificationTrainer.InitializeTrainingGraph(IDataView input)
>    em Microsoft.ML.Vision.ImageClassificationTrainer.TrainModelCore(TrainContext trainContext)
>    em Microsoft.ML.Trainers.TrainerEstimatorBase`2.TrainTransformer(IDataView trainSet, IDataView validationSet, IPredictor initPredictor)
>    em Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input)
>    em Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input)
>    em Microsoft.ML.AutoML.RunnerUtil.TrainAndScorePipeline[TMetrics](MLContext context, SuggestedPipeline pipeline, IDataView trainData, IDataView validData, String labelColumn, IMetricsAgent`1 metricsAgent, ITransformer preprocessorTransform, FileInfo modelFileInfo, DataViewSchema modelInputSchema, IChannel logger)
> [Source=ImageClassificationTrainer; ImageClassificationTrainer, Kind=Trace] Channel started
> [Source=ImageClassificationTrainer; Ensuring meta files are present., Kind=Trace] Channel started
> [Source=ImageClassificationTrainer; Ensuring meta files are present., Kind=Trace] Channel finished. Elapsed 00:00:00.0003738.
> [Source=ImageClassificationTrainer; Ensuring meta files are present., Kind=Trace] Channel disposed
> [Source=AutoML, Kind=Error] Pipeline crashed: xf=ValueToKeyMapping{ col=Label:Label} xf=RawByteImageLoading{ col=ImageSource_featurized:ImageSource imageFolder=} xf=ColumnCopying{ col=Features:ImageSource_featurized} tr=ImageClassification{} xf=KeyToValueMapping{ col=PredictedLabel:PredictedLabel} cache=- . Exception: System.FormatException: Tensorflow exception triggered while loading model. ---> System.DllNotFoundException: Não é possível carregar a DLL 'tensorflow': Uma rotina de inicialização da biblioteca de vínculo dinâmico (DLL) falhou. (Exceção de HRESULT: 0x8007045A)
>    em Tensorflow.c_api.TF_NewGraph()
>    em Tensorflow.Graph..ctor()
>    em Microsoft.ML.TensorFlow.TensorFlowUtils.LoadMetaGraph(String path)
>    em Microsoft.ML.TensorFlow.TensorFlowUtils.LoadTFSessionByModelFilePath(IExceptionContext ectx, String modelFile, Boolean metaGraph)
>    --- Fim do rastreamento de pilha de exceções internas ---
>    em Microsoft.ML.TensorFlow.TensorFlowUtils.LoadTFSessionByModelFilePath(IExceptionContext ectx, String modelFile, Boolean metaGraph)
>    em Microsoft.ML.Vision.ImageClassificationTrainer.LoadTensorFlowSessionFromMetaGraph(IHostEnvironment env, Architecture arch)
>    em Microsoft.ML.Vision.ImageClassificationTrainer.InitializeTrainingGraph(IDataView input)
>    em Microsoft.ML.Vision.ImageClassificationTrainer.TrainModelCore(TrainContext trainContext)
>    em Microsoft.ML.Trainers.TrainerEstimatorBase`2.TrainTransformer(IDataView trainSet, IDataView validationSet, IPredictor initPredictor)
>    em Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input)
>    em Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input)
>    em Microsoft.ML.AutoML.RunnerUtil.TrainAndScorePipeline[TMetrics](MLContext context, SuggestedPipeline pipeline, IDataView trainData, IDataView validData, String labelColumn, IMetricsAgent`1 metricsAgent, ITransformer preprocessorTransform, FileInfo modelFileInfo, DataViewSchema modelInputSchema, IChannel logger)
> [Source=ImageClassificationTrainer; ImageClassificationTrainer, Kind=Trace] Channel started
> [Source=ImageClassificationTrainer; Ensuring meta files are present., Kind=Trace] Channel started
> [Source=ImageClassificationTrainer; Ensuring meta files are present., Kind=Trace] Channel finished. Elapsed 00:00:00.0004048.
> [Source=ImageClassificationTrainer; Ensuring meta files are present., Kind=Trace] Channel disposed
> [Source=AutoML, Kind=Error] Pipeline crashed: xf=ValueToKeyMapping{ col=Label:Label} xf=RawByteImageLoading{ col=ImageSource_featurized:ImageSource imageFolder=} xf=ColumnCopying{ col=Features:ImageSource_featurized} tr=ImageClassification{} xf=KeyToValueMapping{ col=PredictedLabel:PredictedLabel} cache=- . Exception: System.FormatException: Tensorflow exception triggered while loading model. ---> System.DllNotFoundException: Não é possível carregar a DLL 'tensorflow': Uma rotina de inicialização da biblioteca de vínculo dinâmico (DLL) falhou. (Exceção de HRESULT: 0x8007045A)
>    em Tensorflow.c_api.TF_NewGraph()
>    em Tensorflow.Graph..ctor()
>    em Microsoft.ML.TensorFlow.TensorFlowUtils.LoadMetaGraph(String path)
>    em Microsoft.ML.TensorFlow.TensorFlowUtils.LoadTFSessionByModelFilePath(IExceptionContext ectx, String modelFile, Boolean metaGraph)
>    --- Fim do rastreamento de pilha de exceções internas ---
>    em Microsoft.ML.TensorFlow.TensorFlowUtils.LoadTFSessionByModelFilePath(IExceptionContext ectx, String modelFile, Boolean metaGraph)
>    em Microsoft.ML.Vision.ImageClassificationTrainer.LoadTensorFlowSessionFromMetaGraph(IHostEnvironment env, Architecture arch)
>    em Microsoft.ML.Vision.ImageClassificationTrainer.InitializeTrainingGraph(IDataView input)
>    em Microsoft.ML.Vision.ImageClassificationTrainer.TrainModelCore(TrainContext trainContext)
>    em Microsoft.ML.Trainers.TrainerEstimatorBase`2.TrainTransformer(IDataView trainSet, IDataView validationSet, IPredictor initPredictor)
>    em Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input)
>    em Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input)
>    em Microsoft.ML.AutoML.RunnerUtil.TrainAndScorePipeline[TMetrics](MLContext context, SuggestedPipeline pipeline, IDataView trainData, IDataView validData, String labelColumn, IMetricsAgent`1 metricsAgent, ITransformer preprocessorTransform, FileInfo modelFileInfo, DataViewSchema modelInputSchema, IChannel logger)
> [Source=ImageClassificationTrainer; ImageClassificationTrainer, Kind=Trace] Channel started
> Tensorflow exception triggered while loading model.
> 
>

About this issue

  • Original URL
  • State: closed
  • Created 4 years ago
  • Comments: 23 (14 by maintainers)

Most upvoted comments

Hey @codemzs any updates on this issue?

+2
LittleLittleCloud on Mar 26, 2020
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