Fix minor typo in BinFinder.cs - #7496

Merged
ericstj merged 1 commit into
dotnet:mainfrom
KM5075:fix-typo-doc-comments
Oct 1, 2025
Merged

Fix minor typo in BinFinder.cs#7496
ericstj merged 1 commit into
dotnet:mainfrom
KM5075:fix-typo-doc-comments

Fix minor typo in BinFinder.cs

7dbfe7a
Select commit
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Failed to load commit list.
Build Analysis / Build Analysis failed Aug 17, 2025 in 0s

.NET Result Analysis

Details

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To unconditionally bypass the build analysis check (turn it green), you can use the escape mechanism feature. The completion time may vary, potentially taking several minutes, depending on the build analysis workload at the moment.

Build Failures

MachineLearning-CodeCoverage / Windows_x64 / Windows_x64 Build_Debug / Run All Tests.

[ 🚧 Report infrastructure issue][ 📄 Report repository issue]
    ❌Cmd.exe exited with code '1'.

Test Failures (2 tests failed)

🔹 [All failing tests from MachineLearning-CodeCoverage]

    ❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification[Details][0.00% failure rate]
    [ 🚧 Report test infrastructure issue][ 📄 Report test repository issue]

    Failing Configuration

    Data Driven SubResults
      ❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(arch: ResnetV2101)
      Exception Message
      System.Runtime.InteropServices.SEHException : External component has thrown an exception.
      Stack Trace
       at Tensorflow.c_api.TF_SessionRun(IntPtr session, TF_Buffer* run_options, TF_Output[] inputs, IntPtr[] input_values, Int32 ninputs, TF_Output[] outputs, IntPtr[] output_values, Int32 noutputs, IntPtr[] target_opers, Int32 ntargets, IntPtr run_metadata, SafeStatusHandle status)
at Microsoft.ML.TensorFlow.TensorFlowUtils.Runner.Run() in D:\a\_work\1\s\src\Microsoft.ML.TensorFlow\TensorflowUtils.cs:line 598
at Microsoft.ML.Vision.ImageClassificationTrainer.InitializeTrainingGraph(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 625
at Microsoft.ML.Vision.ImageClassificationTrainer.TrainModelCore(TrainContext trainContext) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 664
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.TrainTransformer(IDataView trainSet, IDataView validationSet, IPredictor initPredictor) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 157
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 77
at Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\DataLoadSave\EstimatorChain.cs:line 68
at Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\DataLoadSave\EstimatorChain.cs:line 68
at Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(Architecture arch) in D:\a\_work\1\s\test\Microsoft.ML.TensorFlow.Tests\TensorflowTests.cs:line 1528
at System.RuntimeMethodHandle.InvokeMethod(Object target, Void** arguments, Signature sig, Boolean isConstructor)
at System.Reflection.MethodBaseInvoker.InvokeDirectByRefWithFewArgs(Object obj, Span`1 copyOfArgs, BindingFlags invokeAttr)
      ❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(arch: MobilenetV2)
      Exception Message
      System.Runtime.InteropServices.SEHException : External component has thrown an exception.
      Stack Trace
       at Tensorflow.c_api.TF_SessionRun(IntPtr session, TF_Buffer* run_options, TF_Output[] inputs, IntPtr[] input_values, Int32 ninputs, TF_Output[] outputs, IntPtr[] output_values, Int32 noutputs, IntPtr[] target_opers, Int32 ntargets, IntPtr run_metadata, SafeStatusHandle status)
at Microsoft.ML.TensorFlow.TensorFlowUtils.Runner.Run() in D:\a\_work\1\s\src\Microsoft.ML.TensorFlow\TensorflowUtils.cs:line 598
at Microsoft.ML.Vision.ImageClassificationTrainer.CacheFeaturizedImagesToDisk(IDataView input, String labelColumnName, String imageColumnName, ImageProcessor imageProcessor, String inputTensorName, String outputTensorName, String cacheFilePath, Dataset dataset, Action`1 metricsCallback, Nullable`1 validationFraction) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 838
at Microsoft.ML.Vision.ImageClassificationTrainer.TrainModelCore(TrainContext trainContext) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 683
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.TrainTransformer(IDataView trainSet, IDataView validationSet, IPredictor initPredictor) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 157
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 77
at Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\DataLoadSave\EstimatorChain.cs:line 68
at Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\DataLoadSave\EstimatorChain.cs:line 68
at Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(Architecture arch) in D:\a\_work\1\s\test\Microsoft.ML.TensorFlow.Tests\TensorflowTests.cs:line 1528
at InvokeStub_TensorFlowScenariosTests.TensorFlowImageClassification(Object, Span`1)
at System.Reflection.MethodBaseInvoker.InvokeWithOneArg(Object obj, BindingFlags invokeAttr, Binder binder, Object[] parameters, CultureInfo culture)
      ❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(arch: ResnetV250)
      Exception Message
      System.InvalidOperationException : Splitter/consolidator worker encountered exception while consuming source data\r\n---- System.Runtime.InteropServices.SEHException : External component has thrown an exception.
      Stack Trace
       at Microsoft.ML.Data.DataViewUtils.Splitter.Batch.SetAll(OutPipe[] pipes) in D:\a\_work\1\s\src\Microsoft.ML.Data\Data\DataViewUtils.cs:line 832
at Microsoft.ML.Data.DataViewUtils.Splitter.Cursor.MoveNextCore() in D:\a\_work\1\s\src\Microsoft.ML.Data\Data\DataViewUtils.cs:line 1101
at Microsoft.ML.Data.RootCursorBase.MoveNext() in D:\a\_work\1\s\src\Microsoft.ML.Core\Data\RootCursorBase.cs:line 65
at Microsoft.ML.Data.EvaluatorBase`1.ProcessData(IDataView data, RoleMappedSchema schema, Func`2 activeColsIndices, TAgg aggregator, AggregatorDictionaryBase[] dictionaries) in D:\a\_work\1\s\src\Microsoft.ML.Data\Evaluators\EvaluatorBase.cs:line 162
at Microsoft.ML.Data.EvaluatorBase`1.Microsoft.ML.Data.IEvaluator.Evaluate(RoleMappedData data) in D:\a\_work\1\s\src\Microsoft.ML.Data\Evaluators\EvaluatorBase.cs:line 38
at Microsoft.ML.Data.MulticlassClassificationEvaluator.Evaluate(IDataView data, String label, String score, String predictedLabel) in D:\a\_work\1\s\src\Microsoft.ML.Data\Evaluators\MulticlassClassificationEvaluator.cs:line 562
at Microsoft.ML.MulticlassClassificationCatalog.Evaluate(IDataView data, String labelColumnName, String scoreColumnName, String predictedLabelColumnName, Int32 topKPredictionCount) in D:\a\_work\1\s\src\Microsoft.ML.Data\TrainCatalog.cs:line 535
at Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(Architecture arch) in D:\a\_work\1\s\test\Microsoft.ML.TensorFlow.Tests\TensorflowTests.cs:line 1540
at InvokeStub_TensorFlowScenariosTests.TensorFlowImageClassification(Object, Span`1)
at System.Reflection.MethodBaseInvoker.InvokeWithOneArg(Object obj, BindingFlags invokeAttr, Binder binder, Object[] parameters, CultureInfo culture)
----- Inner Stack Trace -----
at Tensorflow.c_api.TF_SessionRun(IntPtr session, TF_Buffer* run_options, TF_Output[] inputs, IntPtr[] input_values, Int32 ninputs, TF_Output[] outputs, IntPtr[] output_values, Int32 noutputs, IntPtr[] target_opers, Int32 ntargets, IntPtr run_metadata, SafeStatusHandle status)
at Microsoft.ML.TensorFlow.TensorFlowUtils.Runner.Run() in D:\a\_work\1\s\src\Microsoft.ML.TensorFlow\TensorflowUtils.cs:line 598
at Microsoft.ML.Vision.ImageClassificationModelParameters.Classifier.Score(VBuffer`1& image, Span`1 classProbabilities) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 1465
at Microsoft.ML.Vision.ImageClassificationModelParameters.<>c__DisplayClass22_0`2.<Microsoft.ML.Data.IValueMapper.GetMapper>b__0(VBuffer`1& src, VBuffer`1& dst) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 1482
at Microsoft.ML.Data.SchemaBindablePredictorWrapperBase.<>c__DisplayClass19_0`2.<GetValueGetter>b__0(TDst& dst) in D:\a\_work\1\s\src\Microsoft.ML.Data\Scorers\SchemaBindablePredictorWrapper.cs:line 178
at Microsoft.ML.Data.DataViewUtils.Splitter.InPipe.Impl`1.Fill() in D:\a\_work\1\s\src\Microsoft.ML.Data\Data\DataViewUtils.cs:line 722
at Microsoft.ML.Data.DataViewUtils.Splitter.<>c__DisplayClass7_1.<ConsolidateCore>b__2() in D:\a\_work\1\s\src\Microsoft.ML.Data\Data\DataViewUtils.cs:line 421
    ❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassificationBadImages[Details][0.00% failure rate]
    [ 🚧 Report test infrastructure issue][ 📄 Report test repository issue]

    Failing Configuration

    Exception Message
    System.Runtime.InteropServices.SEHException : External component has thrown an exception.
    CallStack
     at Tensorflow.c_api.TF_SessionRun(IntPtr session, TF_Buffer* run_options, TF_Output[] inputs, IntPtr[] input_values, Int32 ninputs, TF_Output[] outputs, IntPtr[] output_values, Int32 noutputs, IntPtr[] target_opers, Int32 ntargets, IntPtr run_metadata, SafeStatusHandle status)
at Microsoft.ML.TensorFlow.TensorFlowUtils.Runner.Run() in D:\a\_work\1\s\src\Microsoft.ML.TensorFlow\TensorflowUtils.cs:line 598
at Microsoft.ML.Vision.ImageClassificationTrainer.CacheFeaturizedImagesToDisk(IDataView input, String labelColumnName, String imageColumnName, ImageProcessor imageProcessor, String inputTensorName, String outputTensorName, String cacheFilePath, Dataset dataset, Action`1 metricsCallback, Nullable`1 validationFraction) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 838
at Microsoft.ML.Vision.ImageClassificationTrainer.TrainModelCore(TrainContext trainContext) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 683
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.TrainTransformer(IDataView trainSet, IDataView validationSet, IPredictor initPredictor) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 157
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 77
at Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassificationBadImages() in D:\a\_work\1\s\test\Microsoft.ML.TensorFlow.Tests\TensorflowTests.cs:line 1890
at System.RuntimeMethodHandle.InvokeMethod(Object target, Void** arguments, Signature sig, Boolean isConstructor)
at System.Reflection.MethodBaseInvoker.InvokeWithNoArgs(Object obj, BindingFlags invokeAttr)

Was this helpful? YesNo

View more details on Build Analysis
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
Fix minor typo in BinFinder.cs - #7496
Merged
ericstj merged 1 commit into
dotnet:mainfrom 
KM5075:fix-typo-doc-comments
Oct 1, 2025
Merged
Fix minor typo in BinFinder.cs#7496
ericstj merged 1 commit into
dotnet:mainfrom 
KM5075:fix-typo-doc-comments

Fix minor typo in BinFinder.cs

7dbfe7a
Select commit
Loading

Failed to load commit list.

Build Analysis / Build Analysis
failed
Aug 17, 2025 in 0s

.NET Result Analysis
Details
Tip
To unconditionally bypass the build analysis check (turn it green), you can use the escape mechanism feature. The completion time may vary, potentially taking several minutes, depending on the build analysis workload at the moment.
Build Failures
MachineLearning-CodeCoverage / Windows_x64 / Windows_x64 Build_Debug / Run All Tests.
[ 🚧 Report infrastructure issue][ 📄 Report repository issue]
    
❌Cmd.exe exited with code '1'.

Test Failures (2 tests failed)
🔹 [All failing tests from MachineLearning-CodeCoverage]
    ❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification[Details][0.00% failure rate]
    [ 🚧 Report test infrastructure issue][ 📄 Report test repository issue]
    Failing Configuration
    Data Driven SubResults
      
❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(arch: ResnetV2101)
      Exception Message
      System.Runtime.InteropServices.SEHException : External component has thrown an exception.
      Stack Trace
       at Tensorflow.c_api.TF_SessionRun(IntPtr session, TF_Buffer* run_options, TF_Output[] inputs, IntPtr[] input_values, Int32 ninputs, TF_Output[] outputs, IntPtr[] output_values, Int32 noutputs, IntPtr[] target_opers, Int32 ntargets, IntPtr run_metadata, SafeStatusHandle status)
at Microsoft.ML.TensorFlow.TensorFlowUtils.Runner.Run() in D:\a\_work\1\s\src\Microsoft.ML.TensorFlow\TensorflowUtils.cs:line 598
at Microsoft.ML.Vision.ImageClassificationTrainer.InitializeTrainingGraph(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 625
at Microsoft.ML.Vision.ImageClassificationTrainer.TrainModelCore(TrainContext trainContext) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 664
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.TrainTransformer(IDataView trainSet, IDataView validationSet, IPredictor initPredictor) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 157
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 77
at Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\DataLoadSave\EstimatorChain.cs:line 68
at Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\DataLoadSave\EstimatorChain.cs:line 68
at Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(Architecture arch) in D:\a\_work\1\s\test\Microsoft.ML.TensorFlow.Tests\TensorflowTests.cs:line 1528
at System.RuntimeMethodHandle.InvokeMethod(Object target, Void** arguments, Signature sig, Boolean isConstructor)
at System.Reflection.MethodBaseInvoker.InvokeDirectByRefWithFewArgs(Object obj, Span`1 copyOfArgs, BindingFlags invokeAttr)
      
❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(arch: MobilenetV2)
      Exception Message
      System.Runtime.InteropServices.SEHException : External component has thrown an exception.
      Stack Trace
       at Tensorflow.c_api.TF_SessionRun(IntPtr session, TF_Buffer* run_options, TF_Output[] inputs, IntPtr[] input_values, Int32 ninputs, TF_Output[] outputs, IntPtr[] output_values, Int32 noutputs, IntPtr[] target_opers, Int32 ntargets, IntPtr run_metadata, SafeStatusHandle status)
at Microsoft.ML.TensorFlow.TensorFlowUtils.Runner.Run() in D:\a\_work\1\s\src\Microsoft.ML.TensorFlow\TensorflowUtils.cs:line 598
at Microsoft.ML.Vision.ImageClassificationTrainer.CacheFeaturizedImagesToDisk(IDataView input, String labelColumnName, String imageColumnName, ImageProcessor imageProcessor, String inputTensorName, String outputTensorName, String cacheFilePath, Dataset dataset, Action`1 metricsCallback, Nullable`1 validationFraction) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 838
at Microsoft.ML.Vision.ImageClassificationTrainer.TrainModelCore(TrainContext trainContext) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 683
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.TrainTransformer(IDataView trainSet, IDataView validationSet, IPredictor initPredictor) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 157
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 77
at Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\DataLoadSave\EstimatorChain.cs:line 68
at Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\DataLoadSave\EstimatorChain.cs:line 68
at Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(Architecture arch) in D:\a\_work\1\s\test\Microsoft.ML.TensorFlow.Tests\TensorflowTests.cs:line 1528
at InvokeStub_TensorFlowScenariosTests.TensorFlowImageClassification(Object, Span`1)
at System.Reflection.MethodBaseInvoker.InvokeWithOneArg(Object obj, BindingFlags invokeAttr, Binder binder, Object[] parameters, CultureInfo culture)
      
❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(arch: ResnetV250)
      Exception Message
      System.InvalidOperationException : Splitter/consolidator worker encountered exception while consuming source data\r\n---- System.Runtime.InteropServices.SEHException : External component has thrown an exception.
      Stack Trace
       at Microsoft.ML.Data.DataViewUtils.Splitter.Batch.SetAll(OutPipe[] pipes) in D:\a\_work\1\s\src\Microsoft.ML.Data\Data\DataViewUtils.cs:line 832
at Microsoft.ML.Data.DataViewUtils.Splitter.Cursor.MoveNextCore() in D:\a\_work\1\s\src\Microsoft.ML.Data\Data\DataViewUtils.cs:line 1101
at Microsoft.ML.Data.RootCursorBase.MoveNext() in D:\a\_work\1\s\src\Microsoft.ML.Core\Data\RootCursorBase.cs:line 65
at Microsoft.ML.Data.EvaluatorBase`1.ProcessData(IDataView data, RoleMappedSchema schema, Func`2 activeColsIndices, TAgg aggregator, AggregatorDictionaryBase[] dictionaries) in D:\a\_work\1\s\src\Microsoft.ML.Data\Evaluators\EvaluatorBase.cs:line 162
at Microsoft.ML.Data.EvaluatorBase`1.Microsoft.ML.Data.IEvaluator.Evaluate(RoleMappedData data) in D:\a\_work\1\s\src\Microsoft.ML.Data\Evaluators\EvaluatorBase.cs:line 38
at Microsoft.ML.Data.MulticlassClassificationEvaluator.Evaluate(IDataView data, String label, String score, String predictedLabel) in D:\a\_work\1\s\src\Microsoft.ML.Data\Evaluators\MulticlassClassificationEvaluator.cs:line 562
at Microsoft.ML.MulticlassClassificationCatalog.Evaluate(IDataView data, String labelColumnName, String scoreColumnName, String predictedLabelColumnName, Int32 topKPredictionCount) in D:\a\_work\1\s\src\Microsoft.ML.Data\TrainCatalog.cs:line 535
at Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(Architecture arch) in D:\a\_work\1\s\test\Microsoft.ML.TensorFlow.Tests\TensorflowTests.cs:line 1540
at InvokeStub_TensorFlowScenariosTests.TensorFlowImageClassification(Object, Span`1)
at System.Reflection.MethodBaseInvoker.InvokeWithOneArg(Object obj, BindingFlags invokeAttr, Binder binder, Object[] parameters, CultureInfo culture)
----- Inner Stack Trace -----
at Tensorflow.c_api.TF_SessionRun(IntPtr session, TF_Buffer* run_options, TF_Output[] inputs, IntPtr[] input_values, Int32 ninputs, TF_Output[] outputs, IntPtr[] output_values, Int32 noutputs, IntPtr[] target_opers, Int32 ntargets, IntPtr run_metadata, SafeStatusHandle status)
at Microsoft.ML.TensorFlow.TensorFlowUtils.Runner.Run() in D:\a\_work\1\s\src\Microsoft.ML.TensorFlow\TensorflowUtils.cs:line 598
at Microsoft.ML.Vision.ImageClassificationModelParameters.Classifier.Score(VBuffer`1& image, Span`1 classProbabilities) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 1465
at Microsoft.ML.Vision.ImageClassificationModelParameters.<>c__DisplayClass22_0`2.<Microsoft.ML.Data.IValueMapper.GetMapper>b__0(VBuffer`1& src, VBuffer`1& dst) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 1482
at Microsoft.ML.Data.SchemaBindablePredictorWrapperBase.<>c__DisplayClass19_0`2.<GetValueGetter>b__0(TDst& dst) in D:\a\_work\1\s\src\Microsoft.ML.Data\Scorers\SchemaBindablePredictorWrapper.cs:line 178
at Microsoft.ML.Data.DataViewUtils.Splitter.InPipe.Impl`1.Fill() in D:\a\_work\1\s\src\Microsoft.ML.Data\Data\DataViewUtils.cs:line 722
at Microsoft.ML.Data.DataViewUtils.Splitter.<>c__DisplayClass7_1.<ConsolidateCore>b__2() in D:\a\_work\1\s\src\Microsoft.ML.Data\Data\DataViewUtils.cs:line 421
    ❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassificationBadImages[Details][0.00% failure rate]
    [ 🚧 Report test infrastructure issue][ 📄 Report test repository issue]
    Failing Configuration
    Exception Message
    System.Runtime.InteropServices.SEHException : External component has thrown an exception.
    CallStack
     at Tensorflow.c_api.TF_SessionRun(IntPtr session, TF_Buffer* run_options, TF_Output[] inputs, IntPtr[] input_values, Int32 ninputs, TF_Output[] outputs, IntPtr[] output_values, Int32 noutputs, IntPtr[] target_opers, Int32 ntargets, IntPtr run_metadata, SafeStatusHandle status)
at Microsoft.ML.TensorFlow.TensorFlowUtils.Runner.Run() in D:\a\_work\1\s\src\Microsoft.ML.TensorFlow\TensorflowUtils.cs:line 598
at Microsoft.ML.Vision.ImageClassificationTrainer.CacheFeaturizedImagesToDisk(IDataView input, String labelColumnName, String imageColumnName, ImageProcessor imageProcessor, String inputTensorName, String outputTensorName, String cacheFilePath, Dataset dataset, Action`1 metricsCallback, Nullable`1 validationFraction) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 838
at Microsoft.ML.Vision.ImageClassificationTrainer.TrainModelCore(TrainContext trainContext) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 683
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.TrainTransformer(IDataView trainSet, IDataView validationSet, IPredictor initPredictor) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 157
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 77
at Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassificationBadImages() in D:\a\_work\1\s\test\Microsoft.ML.TensorFlow.Tests\TensorflowTests.cs:line 1890
at System.RuntimeMethodHandle.InvokeMethod(Object target, Void** arguments, Signature sig, Boolean isConstructor)
at System.Reflection.MethodBaseInvoker.InvokeWithNoArgs(Object obj, BindingFlags invokeAttr)
Was this helpful? YesNo
View more details on Build Analysis


, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
Fix minor typo in BinFinder.cs - #7496
Merged
ericstj merged 1 commit into
dotnet:mainfrom 
KM5075:fix-typo-doc-comments
Oct 1, 2025
Merged
Fix minor typo in BinFinder.cs#7496
ericstj merged 1 commit into
dotnet:mainfrom 
KM5075:fix-typo-doc-comments

Fix minor typo in BinFinder.cs

7dbfe7a
Select commit
Loading

Failed to load commit list.

Build Analysis / Build Analysis
failed
Aug 17, 2025 in 0s

.NET Result Analysis
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To unconditionally bypass the build analysis check (turn it green), you can use the escape mechanism feature. The completion time may vary, potentially taking several minutes, depending on the build analysis workload at the moment.
Build Failures
MachineLearning-CodeCoverage / Windows_x64 / Windows_x64 Build_Debug / Run All Tests.
[ 🚧 Report infrastructure issue][ 📄 Report repository issue]
    
❌Cmd.exe exited with code '1'.

Test Failures (2 tests failed)
🔹 [All failing tests from MachineLearning-CodeCoverage]
    ❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification[Details][0.00% failure rate]
    [ 🚧 Report test infrastructure issue][ 📄 Report test repository issue]
    Failing Configuration
    Data Driven SubResults
      
❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(arch: ResnetV2101)
      Exception Message
      System.Runtime.InteropServices.SEHException : External component has thrown an exception.
      Stack Trace
       at Tensorflow.c_api.TF_SessionRun(IntPtr session, TF_Buffer* run_options, TF_Output[] inputs, IntPtr[] input_values, Int32 ninputs, TF_Output[] outputs, IntPtr[] output_values, Int32 noutputs, IntPtr[] target_opers, Int32 ntargets, IntPtr run_metadata, SafeStatusHandle status)
at Microsoft.ML.TensorFlow.TensorFlowUtils.Runner.Run() in D:\a\_work\1\s\src\Microsoft.ML.TensorFlow\TensorflowUtils.cs:line 598
at Microsoft.ML.Vision.ImageClassificationTrainer.InitializeTrainingGraph(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 625
at Microsoft.ML.Vision.ImageClassificationTrainer.TrainModelCore(TrainContext trainContext) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 664
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.TrainTransformer(IDataView trainSet, IDataView validationSet, IPredictor initPredictor) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 157
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 77
at Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\DataLoadSave\EstimatorChain.cs:line 68
at Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\DataLoadSave\EstimatorChain.cs:line 68
at Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(Architecture arch) in D:\a\_work\1\s\test\Microsoft.ML.TensorFlow.Tests\TensorflowTests.cs:line 1528
at System.RuntimeMethodHandle.InvokeMethod(Object target, Void** arguments, Signature sig, Boolean isConstructor)
at System.Reflection.MethodBaseInvoker.InvokeDirectByRefWithFewArgs(Object obj, Span`1 copyOfArgs, BindingFlags invokeAttr)
      
❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(arch: MobilenetV2)
      Exception Message
      System.Runtime.InteropServices.SEHException : External component has thrown an exception.
      Stack Trace
       at Tensorflow.c_api.TF_SessionRun(IntPtr session, TF_Buffer* run_options, TF_Output[] inputs, IntPtr[] input_values, Int32 ninputs, TF_Output[] outputs, IntPtr[] output_values, Int32 noutputs, IntPtr[] target_opers, Int32 ntargets, IntPtr run_metadata, SafeStatusHandle status)
at Microsoft.ML.TensorFlow.TensorFlowUtils.Runner.Run() in D:\a\_work\1\s\src\Microsoft.ML.TensorFlow\TensorflowUtils.cs:line 598
at Microsoft.ML.Vision.ImageClassificationTrainer.CacheFeaturizedImagesToDisk(IDataView input, String labelColumnName, String imageColumnName, ImageProcessor imageProcessor, String inputTensorName, String outputTensorName, String cacheFilePath, Dataset dataset, Action`1 metricsCallback, Nullable`1 validationFraction) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 838
at Microsoft.ML.Vision.ImageClassificationTrainer.TrainModelCore(TrainContext trainContext) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 683
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.TrainTransformer(IDataView trainSet, IDataView validationSet, IPredictor initPredictor) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 157
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 77
at Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\DataLoadSave\EstimatorChain.cs:line 68
at Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\DataLoadSave\EstimatorChain.cs:line 68
at Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(Architecture arch) in D:\a\_work\1\s\test\Microsoft.ML.TensorFlow.Tests\TensorflowTests.cs:line 1528
at InvokeStub_TensorFlowScenariosTests.TensorFlowImageClassification(Object, Span`1)
at System.Reflection.MethodBaseInvoker.InvokeWithOneArg(Object obj, BindingFlags invokeAttr, Binder binder, Object[] parameters, CultureInfo culture)
      
❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(arch: ResnetV250)
      Exception Message
      System.InvalidOperationException : Splitter/consolidator worker encountered exception while consuming source data\r\n---- System.Runtime.InteropServices.SEHException : External component has thrown an exception.
      Stack Trace
       at Microsoft.ML.Data.DataViewUtils.Splitter.Batch.SetAll(OutPipe[] pipes) in D:\a\_work\1\s\src\Microsoft.ML.Data\Data\DataViewUtils.cs:line 832
at Microsoft.ML.Data.DataViewUtils.Splitter.Cursor.MoveNextCore() in D:\a\_work\1\s\src\Microsoft.ML.Data\Data\DataViewUtils.cs:line 1101
at Microsoft.ML.Data.RootCursorBase.MoveNext() in D:\a\_work\1\s\src\Microsoft.ML.Core\Data\RootCursorBase.cs:line 65
at Microsoft.ML.Data.EvaluatorBase`1.ProcessData(IDataView data, RoleMappedSchema schema, Func`2 activeColsIndices, TAgg aggregator, AggregatorDictionaryBase[] dictionaries) in D:\a\_work\1\s\src\Microsoft.ML.Data\Evaluators\EvaluatorBase.cs:line 162
at Microsoft.ML.Data.EvaluatorBase`1.Microsoft.ML.Data.IEvaluator.Evaluate(RoleMappedData data) in D:\a\_work\1\s\src\Microsoft.ML.Data\Evaluators\EvaluatorBase.cs:line 38
at Microsoft.ML.Data.MulticlassClassificationEvaluator.Evaluate(IDataView data, String label, String score, String predictedLabel) in D:\a\_work\1\s\src\Microsoft.ML.Data\Evaluators\MulticlassClassificationEvaluator.cs:line 562
at Microsoft.ML.MulticlassClassificationCatalog.Evaluate(IDataView data, String labelColumnName, String scoreColumnName, String predictedLabelColumnName, Int32 topKPredictionCount) in D:\a\_work\1\s\src\Microsoft.ML.Data\TrainCatalog.cs:line 535
at Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(Architecture arch) in D:\a\_work\1\s\test\Microsoft.ML.TensorFlow.Tests\TensorflowTests.cs:line 1540
at InvokeStub_TensorFlowScenariosTests.TensorFlowImageClassification(Object, Span`1)
at System.Reflection.MethodBaseInvoker.InvokeWithOneArg(Object obj, BindingFlags invokeAttr, Binder binder, Object[] parameters, CultureInfo culture)
----- Inner Stack Trace -----
at Tensorflow.c_api.TF_SessionRun(IntPtr session, TF_Buffer* run_options, TF_Output[] inputs, IntPtr[] input_values, Int32 ninputs, TF_Output[] outputs, IntPtr[] output_values, Int32 noutputs, IntPtr[] target_opers, Int32 ntargets, IntPtr run_metadata, SafeStatusHandle status)
at Microsoft.ML.TensorFlow.TensorFlowUtils.Runner.Run() in D:\a\_work\1\s\src\Microsoft.ML.TensorFlow\TensorflowUtils.cs:line 598
at Microsoft.ML.Vision.ImageClassificationModelParameters.Classifier.Score(VBuffer`1& image, Span`1 classProbabilities) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 1465
at Microsoft.ML.Vision.ImageClassificationModelParameters.<>c__DisplayClass22_0`2.<Microsoft.ML.Data.IValueMapper.GetMapper>b__0(VBuffer`1& src, VBuffer`1& dst) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 1482
at Microsoft.ML.Data.SchemaBindablePredictorWrapperBase.<>c__DisplayClass19_0`2.<GetValueGetter>b__0(TDst& dst) in D:\a\_work\1\s\src\Microsoft.ML.Data\Scorers\SchemaBindablePredictorWrapper.cs:line 178
at Microsoft.ML.Data.DataViewUtils.Splitter.InPipe.Impl`1.Fill() in D:\a\_work\1\s\src\Microsoft.ML.Data\Data\DataViewUtils.cs:line 722
at Microsoft.ML.Data.DataViewUtils.Splitter.<>c__DisplayClass7_1.<ConsolidateCore>b__2() in D:\a\_work\1\s\src\Microsoft.ML.Data\Data\DataViewUtils.cs:line 421
    ❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassificationBadImages[Details][0.00% failure rate]
    [ 🚧 Report test infrastructure issue][ 📄 Report test repository issue]
    Failing Configuration
    Exception Message
    System.Runtime.InteropServices.SEHException : External component has thrown an exception.
    CallStack
     at Tensorflow.c_api.TF_SessionRun(IntPtr session, TF_Buffer* run_options, TF_Output[] inputs, IntPtr[] input_values, Int32 ninputs, TF_Output[] outputs, IntPtr[] output_values, Int32 noutputs, IntPtr[] target_opers, Int32 ntargets, IntPtr run_metadata, SafeStatusHandle status)
at Microsoft.ML.TensorFlow.TensorFlowUtils.Runner.Run() in D:\a\_work\1\s\src\Microsoft.ML.TensorFlow\TensorflowUtils.cs:line 598
at Microsoft.ML.Vision.ImageClassificationTrainer.CacheFeaturizedImagesToDisk(IDataView input, String labelColumnName, String imageColumnName, ImageProcessor imageProcessor, String inputTensorName, String outputTensorName, String cacheFilePath, Dataset dataset, Action`1 metricsCallback, Nullable`1 validationFraction) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 838
at Microsoft.ML.Vision.ImageClassificationTrainer.TrainModelCore(TrainContext trainContext) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 683
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.TrainTransformer(IDataView trainSet, IDataView validationSet, IPredictor initPredictor) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 157
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 77
at Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassificationBadImages() in D:\a\_work\1\s\test\Microsoft.ML.TensorFlow.Tests\TensorflowTests.cs:line 1890
at System.RuntimeMethodHandle.InvokeMethod(Object target, Void** arguments, Signature sig, Boolean isConstructor)
at System.Reflection.MethodBaseInvoker.InvokeWithNoArgs(Object obj, BindingFlags invokeAttr)
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Fix minor typo in BinFinder.cs - #7496
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ericstj merged 1 commit into
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KM5075:fix-typo-doc-comments
Oct 1, 2025
Merged
Fix minor typo in BinFinder.cs#7496
ericstj merged 1 commit into
dotnet:mainfrom 
KM5075:fix-typo-doc-comments

Fix minor typo in BinFinder.cs

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Aug 17, 2025 in 0s

.NET Result Analysis
Details
Tip
To unconditionally bypass the build analysis check (turn it green), you can use the escape mechanism feature. The completion time may vary, potentially taking several minutes, depending on the build analysis workload at the moment.
Build Failures
MachineLearning-CodeCoverage / Windows_x64 / Windows_x64 Build_Debug / Run All Tests.
[ 🚧 Report infrastructure issue][ 📄 Report repository issue]
    
❌Cmd.exe exited with code '1'.

Test Failures (2 tests failed)
🔹 [All failing tests from MachineLearning-CodeCoverage]
    ❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification[Details][0.00% failure rate]
    [ 🚧 Report test infrastructure issue][ 📄 Report test repository issue]
    Failing Configuration
    Data Driven SubResults
      
❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(arch: ResnetV2101)
      Exception Message
      System.Runtime.InteropServices.SEHException : External component has thrown an exception.
      Stack Trace
       at Tensorflow.c_api.TF_SessionRun(IntPtr session, TF_Buffer* run_options, TF_Output[] inputs, IntPtr[] input_values, Int32 ninputs, TF_Output[] outputs, IntPtr[] output_values, Int32 noutputs, IntPtr[] target_opers, Int32 ntargets, IntPtr run_metadata, SafeStatusHandle status)
at Microsoft.ML.TensorFlow.TensorFlowUtils.Runner.Run() in D:\a\_work\1\s\src\Microsoft.ML.TensorFlow\TensorflowUtils.cs:line 598
at Microsoft.ML.Vision.ImageClassificationTrainer.InitializeTrainingGraph(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 625
at Microsoft.ML.Vision.ImageClassificationTrainer.TrainModelCore(TrainContext trainContext) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 664
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.TrainTransformer(IDataView trainSet, IDataView validationSet, IPredictor initPredictor) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 157
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 77
at Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\DataLoadSave\EstimatorChain.cs:line 68
at Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\DataLoadSave\EstimatorChain.cs:line 68
at Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(Architecture arch) in D:\a\_work\1\s\test\Microsoft.ML.TensorFlow.Tests\TensorflowTests.cs:line 1528
at System.RuntimeMethodHandle.InvokeMethod(Object target, Void** arguments, Signature sig, Boolean isConstructor)
at System.Reflection.MethodBaseInvoker.InvokeDirectByRefWithFewArgs(Object obj, Span`1 copyOfArgs, BindingFlags invokeAttr)
      
❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(arch: MobilenetV2)
      Exception Message
      System.Runtime.InteropServices.SEHException : External component has thrown an exception.
      Stack Trace
       at Tensorflow.c_api.TF_SessionRun(IntPtr session, TF_Buffer* run_options, TF_Output[] inputs, IntPtr[] input_values, Int32 ninputs, TF_Output[] outputs, IntPtr[] output_values, Int32 noutputs, IntPtr[] target_opers, Int32 ntargets, IntPtr run_metadata, SafeStatusHandle status)
at Microsoft.ML.TensorFlow.TensorFlowUtils.Runner.Run() in D:\a\_work\1\s\src\Microsoft.ML.TensorFlow\TensorflowUtils.cs:line 598
at Microsoft.ML.Vision.ImageClassificationTrainer.CacheFeaturizedImagesToDisk(IDataView input, String labelColumnName, String imageColumnName, ImageProcessor imageProcessor, String inputTensorName, String outputTensorName, String cacheFilePath, Dataset dataset, Action`1 metricsCallback, Nullable`1 validationFraction) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 838
at Microsoft.ML.Vision.ImageClassificationTrainer.TrainModelCore(TrainContext trainContext) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 683
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.TrainTransformer(IDataView trainSet, IDataView validationSet, IPredictor initPredictor) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 157
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 77
at Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\DataLoadSave\EstimatorChain.cs:line 68
at Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\DataLoadSave\EstimatorChain.cs:line 68
at Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(Architecture arch) in D:\a\_work\1\s\test\Microsoft.ML.TensorFlow.Tests\TensorflowTests.cs:line 1528
at InvokeStub_TensorFlowScenariosTests.TensorFlowImageClassification(Object, Span`1)
at System.Reflection.MethodBaseInvoker.InvokeWithOneArg(Object obj, BindingFlags invokeAttr, Binder binder, Object[] parameters, CultureInfo culture)
      
❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(arch: ResnetV250)
      Exception Message
      System.InvalidOperationException : Splitter/consolidator worker encountered exception while consuming source data\r\n---- System.Runtime.InteropServices.SEHException : External component has thrown an exception.
      Stack Trace
       at Microsoft.ML.Data.DataViewUtils.Splitter.Batch.SetAll(OutPipe[] pipes) in D:\a\_work\1\s\src\Microsoft.ML.Data\Data\DataViewUtils.cs:line 832
at Microsoft.ML.Data.DataViewUtils.Splitter.Cursor.MoveNextCore() in D:\a\_work\1\s\src\Microsoft.ML.Data\Data\DataViewUtils.cs:line 1101
at Microsoft.ML.Data.RootCursorBase.MoveNext() in D:\a\_work\1\s\src\Microsoft.ML.Core\Data\RootCursorBase.cs:line 65
at Microsoft.ML.Data.EvaluatorBase`1.ProcessData(IDataView data, RoleMappedSchema schema, Func`2 activeColsIndices, TAgg aggregator, AggregatorDictionaryBase[] dictionaries) in D:\a\_work\1\s\src\Microsoft.ML.Data\Evaluators\EvaluatorBase.cs:line 162
at Microsoft.ML.Data.EvaluatorBase`1.Microsoft.ML.Data.IEvaluator.Evaluate(RoleMappedData data) in D:\a\_work\1\s\src\Microsoft.ML.Data\Evaluators\EvaluatorBase.cs:line 38
at Microsoft.ML.Data.MulticlassClassificationEvaluator.Evaluate(IDataView data, String label, String score, String predictedLabel) in D:\a\_work\1\s\src\Microsoft.ML.Data\Evaluators\MulticlassClassificationEvaluator.cs:line 562
at Microsoft.ML.MulticlassClassificationCatalog.Evaluate(IDataView data, String labelColumnName, String scoreColumnName, String predictedLabelColumnName, Int32 topKPredictionCount) in D:\a\_work\1\s\src\Microsoft.ML.Data\TrainCatalog.cs:line 535
at Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(Architecture arch) in D:\a\_work\1\s\test\Microsoft.ML.TensorFlow.Tests\TensorflowTests.cs:line 1540
at InvokeStub_TensorFlowScenariosTests.TensorFlowImageClassification(Object, Span`1)
at System.Reflection.MethodBaseInvoker.InvokeWithOneArg(Object obj, BindingFlags invokeAttr, Binder binder, Object[] parameters, CultureInfo culture)
----- Inner Stack Trace -----
at Tensorflow.c_api.TF_SessionRun(IntPtr session, TF_Buffer* run_options, TF_Output[] inputs, IntPtr[] input_values, Int32 ninputs, TF_Output[] outputs, IntPtr[] output_values, Int32 noutputs, IntPtr[] target_opers, Int32 ntargets, IntPtr run_metadata, SafeStatusHandle status)
at Microsoft.ML.TensorFlow.TensorFlowUtils.Runner.Run() in D:\a\_work\1\s\src\Microsoft.ML.TensorFlow\TensorflowUtils.cs:line 598
at Microsoft.ML.Vision.ImageClassificationModelParameters.Classifier.Score(VBuffer`1& image, Span`1 classProbabilities) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 1465
at Microsoft.ML.Vision.ImageClassificationModelParameters.<>c__DisplayClass22_0`2.<Microsoft.ML.Data.IValueMapper.GetMapper>b__0(VBuffer`1& src, VBuffer`1& dst) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 1482
at Microsoft.ML.Data.SchemaBindablePredictorWrapperBase.<>c__DisplayClass19_0`2.<GetValueGetter>b__0(TDst& dst) in D:\a\_work\1\s\src\Microsoft.ML.Data\Scorers\SchemaBindablePredictorWrapper.cs:line 178
at Microsoft.ML.Data.DataViewUtils.Splitter.InPipe.Impl`1.Fill() in D:\a\_work\1\s\src\Microsoft.ML.Data\Data\DataViewUtils.cs:line 722
at Microsoft.ML.Data.DataViewUtils.Splitter.<>c__DisplayClass7_1.<ConsolidateCore>b__2() in D:\a\_work\1\s\src\Microsoft.ML.Data\Data\DataViewUtils.cs:line 421
    ❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassificationBadImages[Details][0.00% failure rate]
    [ 🚧 Report test infrastructure issue][ 📄 Report test repository issue]
    Failing Configuration
    Exception Message
    System.Runtime.InteropServices.SEHException : External component has thrown an exception.
    CallStack
     at Tensorflow.c_api.TF_SessionRun(IntPtr session, TF_Buffer* run_options, TF_Output[] inputs, IntPtr[] input_values, Int32 ninputs, TF_Output[] outputs, IntPtr[] output_values, Int32 noutputs, IntPtr[] target_opers, Int32 ntargets, IntPtr run_metadata, SafeStatusHandle status)
at Microsoft.ML.TensorFlow.TensorFlowUtils.Runner.Run() in D:\a\_work\1\s\src\Microsoft.ML.TensorFlow\TensorflowUtils.cs:line 598
at Microsoft.ML.Vision.ImageClassificationTrainer.CacheFeaturizedImagesToDisk(IDataView input, String labelColumnName, String imageColumnName, ImageProcessor imageProcessor, String inputTensorName, String outputTensorName, String cacheFilePath, Dataset dataset, Action`1 metricsCallback, Nullable`1 validationFraction) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 838
at Microsoft.ML.Vision.ImageClassificationTrainer.TrainModelCore(TrainContext trainContext) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 683
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.TrainTransformer(IDataView trainSet, IDataView validationSet, IPredictor initPredictor) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 157
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 77
at Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassificationBadImages() in D:\a\_work\1\s\test\Microsoft.ML.TensorFlow.Tests\TensorflowTests.cs:line 1890
at System.RuntimeMethodHandle.InvokeMethod(Object target, Void** arguments, Signature sig, Boolean isConstructor)
at System.Reflection.MethodBaseInvoker.InvokeWithNoArgs(Object obj, BindingFlags invokeAttr)
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
Fix minor typo in BinFinder.cs - #7496
Merged
ericstj merged 1 commit into
dotnet:mainfrom 
KM5075:fix-typo-doc-comments
Oct 1, 2025
Merged
Fix minor typo in BinFinder.cs#7496
ericstj merged 1 commit into
dotnet:mainfrom 
KM5075:fix-typo-doc-comments

Fix minor typo in BinFinder.cs

7dbfe7a
Select commit
Loading

Failed to load commit list.

Build Analysis / Build Analysis
failed
Aug 17, 2025 in 0s

.NET Result Analysis
Details
Tip
To unconditionally bypass the build analysis check (turn it green), you can use the escape mechanism feature. The completion time may vary, potentially taking several minutes, depending on the build analysis workload at the moment.
Build Failures
MachineLearning-CodeCoverage / Windows_x64 / Windows_x64 Build_Debug / Run All Tests.
[ 🚧 Report infrastructure issue][ 📄 Report repository issue]
    
❌Cmd.exe exited with code '1'.

Test Failures (2 tests failed)
🔹 [All failing tests from MachineLearning-CodeCoverage]
    ❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification[Details][0.00% failure rate]
    [ 🚧 Report test infrastructure issue][ 📄 Report test repository issue]
    Failing Configuration
    Data Driven SubResults
      
❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(arch: ResnetV2101)
      Exception Message
      System.Runtime.InteropServices.SEHException : External component has thrown an exception.
      Stack Trace
       at Tensorflow.c_api.TF_SessionRun(IntPtr session, TF_Buffer* run_options, TF_Output[] inputs, IntPtr[] input_values, Int32 ninputs, TF_Output[] outputs, IntPtr[] output_values, Int32 noutputs, IntPtr[] target_opers, Int32 ntargets, IntPtr run_metadata, SafeStatusHandle status)
at Microsoft.ML.TensorFlow.TensorFlowUtils.Runner.Run() in D:\a\_work\1\s\src\Microsoft.ML.TensorFlow\TensorflowUtils.cs:line 598
at Microsoft.ML.Vision.ImageClassificationTrainer.InitializeTrainingGraph(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 625
at Microsoft.ML.Vision.ImageClassificationTrainer.TrainModelCore(TrainContext trainContext) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 664
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.TrainTransformer(IDataView trainSet, IDataView validationSet, IPredictor initPredictor) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 157
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 77
at Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\DataLoadSave\EstimatorChain.cs:line 68
at Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\DataLoadSave\EstimatorChain.cs:line 68
at Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(Architecture arch) in D:\a\_work\1\s\test\Microsoft.ML.TensorFlow.Tests\TensorflowTests.cs:line 1528
at System.RuntimeMethodHandle.InvokeMethod(Object target, Void** arguments, Signature sig, Boolean isConstructor)
at System.Reflection.MethodBaseInvoker.InvokeDirectByRefWithFewArgs(Object obj, Span`1 copyOfArgs, BindingFlags invokeAttr)
      
❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(arch: MobilenetV2)
      Exception Message
      System.Runtime.InteropServices.SEHException : External component has thrown an exception.
      Stack Trace
       at Tensorflow.c_api.TF_SessionRun(IntPtr session, TF_Buffer* run_options, TF_Output[] inputs, IntPtr[] input_values, Int32 ninputs, TF_Output[] outputs, IntPtr[] output_values, Int32 noutputs, IntPtr[] target_opers, Int32 ntargets, IntPtr run_metadata, SafeStatusHandle status)
at Microsoft.ML.TensorFlow.TensorFlowUtils.Runner.Run() in D:\a\_work\1\s\src\Microsoft.ML.TensorFlow\TensorflowUtils.cs:line 598
at Microsoft.ML.Vision.ImageClassificationTrainer.CacheFeaturizedImagesToDisk(IDataView input, String labelColumnName, String imageColumnName, ImageProcessor imageProcessor, String inputTensorName, String outputTensorName, String cacheFilePath, Dataset dataset, Action`1 metricsCallback, Nullable`1 validationFraction) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 838
at Microsoft.ML.Vision.ImageClassificationTrainer.TrainModelCore(TrainContext trainContext) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 683
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.TrainTransformer(IDataView trainSet, IDataView validationSet, IPredictor initPredictor) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 157
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 77
at Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\DataLoadSave\EstimatorChain.cs:line 68
at Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\DataLoadSave\EstimatorChain.cs:line 68
at Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(Architecture arch) in D:\a\_work\1\s\test\Microsoft.ML.TensorFlow.Tests\TensorflowTests.cs:line 1528
at InvokeStub_TensorFlowScenariosTests.TensorFlowImageClassification(Object, Span`1)
at System.Reflection.MethodBaseInvoker.InvokeWithOneArg(Object obj, BindingFlags invokeAttr, Binder binder, Object[] parameters, CultureInfo culture)
      
❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(arch: ResnetV250)
      Exception Message
      System.InvalidOperationException : Splitter/consolidator worker encountered exception while consuming source data\r\n---- System.Runtime.InteropServices.SEHException : External component has thrown an exception.
      Stack Trace
       at Microsoft.ML.Data.DataViewUtils.Splitter.Batch.SetAll(OutPipe[] pipes) in D:\a\_work\1\s\src\Microsoft.ML.Data\Data\DataViewUtils.cs:line 832
at Microsoft.ML.Data.DataViewUtils.Splitter.Cursor.MoveNextCore() in D:\a\_work\1\s\src\Microsoft.ML.Data\Data\DataViewUtils.cs:line 1101
at Microsoft.ML.Data.RootCursorBase.MoveNext() in D:\a\_work\1\s\src\Microsoft.ML.Core\Data\RootCursorBase.cs:line 65
at Microsoft.ML.Data.EvaluatorBase`1.ProcessData(IDataView data, RoleMappedSchema schema, Func`2 activeColsIndices, TAgg aggregator, AggregatorDictionaryBase[] dictionaries) in D:\a\_work\1\s\src\Microsoft.ML.Data\Evaluators\EvaluatorBase.cs:line 162
at Microsoft.ML.Data.EvaluatorBase`1.Microsoft.ML.Data.IEvaluator.Evaluate(RoleMappedData data) in D:\a\_work\1\s\src\Microsoft.ML.Data\Evaluators\EvaluatorBase.cs:line 38
at Microsoft.ML.Data.MulticlassClassificationEvaluator.Evaluate(IDataView data, String label, String score, String predictedLabel) in D:\a\_work\1\s\src\Microsoft.ML.Data\Evaluators\MulticlassClassificationEvaluator.cs:line 562
at Microsoft.ML.MulticlassClassificationCatalog.Evaluate(IDataView data, String labelColumnName, String scoreColumnName, String predictedLabelColumnName, Int32 topKPredictionCount) in D:\a\_work\1\s\src\Microsoft.ML.Data\TrainCatalog.cs:line 535
at Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(Architecture arch) in D:\a\_work\1\s\test\Microsoft.ML.TensorFlow.Tests\TensorflowTests.cs:line 1540
at InvokeStub_TensorFlowScenariosTests.TensorFlowImageClassification(Object, Span`1)
at System.Reflection.MethodBaseInvoker.InvokeWithOneArg(Object obj, BindingFlags invokeAttr, Binder binder, Object[] parameters, CultureInfo culture)
----- Inner Stack Trace -----
at Tensorflow.c_api.TF_SessionRun(IntPtr session, TF_Buffer* run_options, TF_Output[] inputs, IntPtr[] input_values, Int32 ninputs, TF_Output[] outputs, IntPtr[] output_values, Int32 noutputs, IntPtr[] target_opers, Int32 ntargets, IntPtr run_metadata, SafeStatusHandle status)
at Microsoft.ML.TensorFlow.TensorFlowUtils.Runner.Run() in D:\a\_work\1\s\src\Microsoft.ML.TensorFlow\TensorflowUtils.cs:line 598
at Microsoft.ML.Vision.ImageClassificationModelParameters.Classifier.Score(VBuffer`1& image, Span`1 classProbabilities) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 1465
at Microsoft.ML.Vision.ImageClassificationModelParameters.<>c__DisplayClass22_0`2.<Microsoft.ML.Data.IValueMapper.GetMapper>b__0(VBuffer`1& src, VBuffer`1& dst) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 1482
at Microsoft.ML.Data.SchemaBindablePredictorWrapperBase.<>c__DisplayClass19_0`2.<GetValueGetter>b__0(TDst& dst) in D:\a\_work\1\s\src\Microsoft.ML.Data\Scorers\SchemaBindablePredictorWrapper.cs:line 178
at Microsoft.ML.Data.DataViewUtils.Splitter.InPipe.Impl`1.Fill() in D:\a\_work\1\s\src\Microsoft.ML.Data\Data\DataViewUtils.cs:line 722
at Microsoft.ML.Data.DataViewUtils.Splitter.<>c__DisplayClass7_1.<ConsolidateCore>b__2() in D:\a\_work\1\s\src\Microsoft.ML.Data\Data\DataViewUtils.cs:line 421
    ❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassificationBadImages[Details][0.00% failure rate]
    [ 🚧 Report test infrastructure issue][ 📄 Report test repository issue]
    Failing Configuration
    Exception Message
    System.Runtime.InteropServices.SEHException : External component has thrown an exception.
    CallStack
     at Tensorflow.c_api.TF_SessionRun(IntPtr session, TF_Buffer* run_options, TF_Output[] inputs, IntPtr[] input_values, Int32 ninputs, TF_Output[] outputs, IntPtr[] output_values, Int32 noutputs, IntPtr[] target_opers, Int32 ntargets, IntPtr run_metadata, SafeStatusHandle status)
at Microsoft.ML.TensorFlow.TensorFlowUtils.Runner.Run() in D:\a\_work\1\s\src\Microsoft.ML.TensorFlow\TensorflowUtils.cs:line 598
at Microsoft.ML.Vision.ImageClassificationTrainer.CacheFeaturizedImagesToDisk(IDataView input, String labelColumnName, String imageColumnName, ImageProcessor imageProcessor, String inputTensorName, String outputTensorName, String cacheFilePath, Dataset dataset, Action`1 metricsCallback, Nullable`1 validationFraction) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 838
at Microsoft.ML.Vision.ImageClassificationTrainer.TrainModelCore(TrainContext trainContext) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 683
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.TrainTransformer(IDataView trainSet, IDataView validationSet, IPredictor initPredictor) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 157
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 77
at Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassificationBadImages() in D:\a\_work\1\s\test\Microsoft.ML.TensorFlow.Tests\TensorflowTests.cs:line 1890
at System.RuntimeMethodHandle.InvokeMethod(Object target, Void** arguments, Signature sig, Boolean isConstructor)
at System.Reflection.MethodBaseInvoker.InvokeWithNoArgs(Object obj, BindingFlags invokeAttr)
Was this helpful? YesNo
View more details on Build Analysis


, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
Fix minor typo in BinFinder.cs - #7496
Merged
ericstj merged 1 commit into
dotnet:mainfrom 
KM5075:fix-typo-doc-comments
Oct 1, 2025
Merged
Fix minor typo in BinFinder.cs#7496
ericstj merged 1 commit into
dotnet:mainfrom 
KM5075:fix-typo-doc-comments

Fix minor typo in BinFinder.cs

7dbfe7a
Select commit
Loading

Failed to load commit list.

Build Analysis / Build Analysis
failed
Aug 17, 2025 in 0s

.NET Result Analysis
Details
Tip
To unconditionally bypass the build analysis check (turn it green), you can use the escape mechanism feature. The completion time may vary, potentially taking several minutes, depending on the build analysis workload at the moment.
Build Failures
MachineLearning-CodeCoverage / Windows_x64 / Windows_x64 Build_Debug / Run All Tests.
[ 🚧 Report infrastructure issue][ 📄 Report repository issue]
    
❌Cmd.exe exited with code '1'.

Test Failures (2 tests failed)
🔹 [All failing tests from MachineLearning-CodeCoverage]
    ❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification[Details][0.00% failure rate]
    [ 🚧 Report test infrastructure issue][ 📄 Report test repository issue]
    Failing Configuration
    Data Driven SubResults
      
❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(arch: ResnetV2101)
      Exception Message
      System.Runtime.InteropServices.SEHException : External component has thrown an exception.
      Stack Trace
       at Tensorflow.c_api.TF_SessionRun(IntPtr session, TF_Buffer* run_options, TF_Output[] inputs, IntPtr[] input_values, Int32 ninputs, TF_Output[] outputs, IntPtr[] output_values, Int32 noutputs, IntPtr[] target_opers, Int32 ntargets, IntPtr run_metadata, SafeStatusHandle status)
at Microsoft.ML.TensorFlow.TensorFlowUtils.Runner.Run() in D:\a\_work\1\s\src\Microsoft.ML.TensorFlow\TensorflowUtils.cs:line 598
at Microsoft.ML.Vision.ImageClassificationTrainer.InitializeTrainingGraph(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 625
at Microsoft.ML.Vision.ImageClassificationTrainer.TrainModelCore(TrainContext trainContext) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 664
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.TrainTransformer(IDataView trainSet, IDataView validationSet, IPredictor initPredictor) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 157
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 77
at Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\DataLoadSave\EstimatorChain.cs:line 68
at Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\DataLoadSave\EstimatorChain.cs:line 68
at Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(Architecture arch) in D:\a\_work\1\s\test\Microsoft.ML.TensorFlow.Tests\TensorflowTests.cs:line 1528
at System.RuntimeMethodHandle.InvokeMethod(Object target, Void** arguments, Signature sig, Boolean isConstructor)
at System.Reflection.MethodBaseInvoker.InvokeDirectByRefWithFewArgs(Object obj, Span`1 copyOfArgs, BindingFlags invokeAttr)
      
❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(arch: MobilenetV2)
      Exception Message
      System.Runtime.InteropServices.SEHException : External component has thrown an exception.
      Stack Trace
       at Tensorflow.c_api.TF_SessionRun(IntPtr session, TF_Buffer* run_options, TF_Output[] inputs, IntPtr[] input_values, Int32 ninputs, TF_Output[] outputs, IntPtr[] output_values, Int32 noutputs, IntPtr[] target_opers, Int32 ntargets, IntPtr run_metadata, SafeStatusHandle status)
at Microsoft.ML.TensorFlow.TensorFlowUtils.Runner.Run() in D:\a\_work\1\s\src\Microsoft.ML.TensorFlow\TensorflowUtils.cs:line 598
at Microsoft.ML.Vision.ImageClassificationTrainer.CacheFeaturizedImagesToDisk(IDataView input, String labelColumnName, String imageColumnName, ImageProcessor imageProcessor, String inputTensorName, String outputTensorName, String cacheFilePath, Dataset dataset, Action`1 metricsCallback, Nullable`1 validationFraction) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 838
at Microsoft.ML.Vision.ImageClassificationTrainer.TrainModelCore(TrainContext trainContext) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 683
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.TrainTransformer(IDataView trainSet, IDataView validationSet, IPredictor initPredictor) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 157
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 77
at Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\DataLoadSave\EstimatorChain.cs:line 68
at Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\DataLoadSave\EstimatorChain.cs:line 68
at Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(Architecture arch) in D:\a\_work\1\s\test\Microsoft.ML.TensorFlow.Tests\TensorflowTests.cs:line 1528
at InvokeStub_TensorFlowScenariosTests.TensorFlowImageClassification(Object, Span`1)
at System.Reflection.MethodBaseInvoker.InvokeWithOneArg(Object obj, BindingFlags invokeAttr, Binder binder, Object[] parameters, CultureInfo culture)
      
❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(arch: ResnetV250)
      Exception Message
      System.InvalidOperationException : Splitter/consolidator worker encountered exception while consuming source data\r\n---- System.Runtime.InteropServices.SEHException : External component has thrown an exception.
      Stack Trace
       at Microsoft.ML.Data.DataViewUtils.Splitter.Batch.SetAll(OutPipe[] pipes) in D:\a\_work\1\s\src\Microsoft.ML.Data\Data\DataViewUtils.cs:line 832
at Microsoft.ML.Data.DataViewUtils.Splitter.Cursor.MoveNextCore() in D:\a\_work\1\s\src\Microsoft.ML.Data\Data\DataViewUtils.cs:line 1101
at Microsoft.ML.Data.RootCursorBase.MoveNext() in D:\a\_work\1\s\src\Microsoft.ML.Core\Data\RootCursorBase.cs:line 65
at Microsoft.ML.Data.EvaluatorBase`1.ProcessData(IDataView data, RoleMappedSchema schema, Func`2 activeColsIndices, TAgg aggregator, AggregatorDictionaryBase[] dictionaries) in D:\a\_work\1\s\src\Microsoft.ML.Data\Evaluators\EvaluatorBase.cs:line 162
at Microsoft.ML.Data.EvaluatorBase`1.Microsoft.ML.Data.IEvaluator.Evaluate(RoleMappedData data) in D:\a\_work\1\s\src\Microsoft.ML.Data\Evaluators\EvaluatorBase.cs:line 38
at Microsoft.ML.Data.MulticlassClassificationEvaluator.Evaluate(IDataView data, String label, String score, String predictedLabel) in D:\a\_work\1\s\src\Microsoft.ML.Data\Evaluators\MulticlassClassificationEvaluator.cs:line 562
at Microsoft.ML.MulticlassClassificationCatalog.Evaluate(IDataView data, String labelColumnName, String scoreColumnName, String predictedLabelColumnName, Int32 topKPredictionCount) in D:\a\_work\1\s\src\Microsoft.ML.Data\TrainCatalog.cs:line 535
at Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(Architecture arch) in D:\a\_work\1\s\test\Microsoft.ML.TensorFlow.Tests\TensorflowTests.cs:line 1540
at InvokeStub_TensorFlowScenariosTests.TensorFlowImageClassification(Object, Span`1)
at System.Reflection.MethodBaseInvoker.InvokeWithOneArg(Object obj, BindingFlags invokeAttr, Binder binder, Object[] parameters, CultureInfo culture)
----- Inner Stack Trace -----
at Tensorflow.c_api.TF_SessionRun(IntPtr session, TF_Buffer* run_options, TF_Output[] inputs, IntPtr[] input_values, Int32 ninputs, TF_Output[] outputs, IntPtr[] output_values, Int32 noutputs, IntPtr[] target_opers, Int32 ntargets, IntPtr run_metadata, SafeStatusHandle status)
at Microsoft.ML.TensorFlow.TensorFlowUtils.Runner.Run() in D:\a\_work\1\s\src\Microsoft.ML.TensorFlow\TensorflowUtils.cs:line 598
at Microsoft.ML.Vision.ImageClassificationModelParameters.Classifier.Score(VBuffer`1& image, Span`1 classProbabilities) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 1465
at Microsoft.ML.Vision.ImageClassificationModelParameters.<>c__DisplayClass22_0`2.<Microsoft.ML.Data.IValueMapper.GetMapper>b__0(VBuffer`1& src, VBuffer`1& dst) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 1482
at Microsoft.ML.Data.SchemaBindablePredictorWrapperBase.<>c__DisplayClass19_0`2.<GetValueGetter>b__0(TDst& dst) in D:\a\_work\1\s\src\Microsoft.ML.Data\Scorers\SchemaBindablePredictorWrapper.cs:line 178
at Microsoft.ML.Data.DataViewUtils.Splitter.InPipe.Impl`1.Fill() in D:\a\_work\1\s\src\Microsoft.ML.Data\Data\DataViewUtils.cs:line 722
at Microsoft.ML.Data.DataViewUtils.Splitter.<>c__DisplayClass7_1.<ConsolidateCore>b__2() in D:\a\_work\1\s\src\Microsoft.ML.Data\Data\DataViewUtils.cs:line 421
    ❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassificationBadImages[Details][0.00% failure rate]
    [ 🚧 Report test infrastructure issue][ 📄 Report test repository issue]
    Failing Configuration
    Exception Message
    System.Runtime.InteropServices.SEHException : External component has thrown an exception.
    CallStack
     at Tensorflow.c_api.TF_SessionRun(IntPtr session, TF_Buffer* run_options, TF_Output[] inputs, IntPtr[] input_values, Int32 ninputs, TF_Output[] outputs, IntPtr[] output_values, Int32 noutputs, IntPtr[] target_opers, Int32 ntargets, IntPtr run_metadata, SafeStatusHandle status)
at Microsoft.ML.TensorFlow.TensorFlowUtils.Runner.Run() in D:\a\_work\1\s\src\Microsoft.ML.TensorFlow\TensorflowUtils.cs:line 598
at Microsoft.ML.Vision.ImageClassificationTrainer.CacheFeaturizedImagesToDisk(IDataView input, String labelColumnName, String imageColumnName, ImageProcessor imageProcessor, String inputTensorName, String outputTensorName, String cacheFilePath, Dataset dataset, Action`1 metricsCallback, Nullable`1 validationFraction) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 838
at Microsoft.ML.Vision.ImageClassificationTrainer.TrainModelCore(TrainContext trainContext) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 683
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.TrainTransformer(IDataView trainSet, IDataView validationSet, IPredictor initPredictor) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 157
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 77
at Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassificationBadImages() in D:\a\_work\1\s\test\Microsoft.ML.TensorFlow.Tests\TensorflowTests.cs:line 1890
at System.RuntimeMethodHandle.InvokeMethod(Object target, Void** arguments, Signature sig, Boolean isConstructor)
at System.Reflection.MethodBaseInvoker.InvokeWithNoArgs(Object obj, BindingFlags invokeAttr)
Was this helpful? YesNo
View more details on Build Analysis


, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
Fix minor typo in BinFinder.cs - #7496
Merged
ericstj merged 1 commit into
dotnet:mainfrom 
KM5075:fix-typo-doc-comments
Oct 1, 2025
Merged
Fix minor typo in BinFinder.cs#7496
ericstj merged 1 commit into
dotnet:mainfrom 
KM5075:fix-typo-doc-comments

Fix minor typo in BinFinder.cs

7dbfe7a
Select commit
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Build Analysis / Build Analysis
failed
Aug 17, 2025 in 0s

.NET Result Analysis
Details
Tip
To unconditionally bypass the build analysis check (turn it green), you can use the escape mechanism feature. The completion time may vary, potentially taking several minutes, depending on the build analysis workload at the moment.
Build Failures
MachineLearning-CodeCoverage / Windows_x64 / Windows_x64 Build_Debug / Run All Tests.
[ 🚧 Report infrastructure issue][ 📄 Report repository issue]
    
❌Cmd.exe exited with code '1'.

Test Failures (2 tests failed)
🔹 [All failing tests from MachineLearning-CodeCoverage]
    ❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification[Details][0.00% failure rate]
    [ 🚧 Report test infrastructure issue][ 📄 Report test repository issue]
    Failing Configuration
    Data Driven SubResults
      
❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(arch: ResnetV2101)
      Exception Message
      System.Runtime.InteropServices.SEHException : External component has thrown an exception.
      Stack Trace
       at Tensorflow.c_api.TF_SessionRun(IntPtr session, TF_Buffer* run_options, TF_Output[] inputs, IntPtr[] input_values, Int32 ninputs, TF_Output[] outputs, IntPtr[] output_values, Int32 noutputs, IntPtr[] target_opers, Int32 ntargets, IntPtr run_metadata, SafeStatusHandle status)
at Microsoft.ML.TensorFlow.TensorFlowUtils.Runner.Run() in D:\a\_work\1\s\src\Microsoft.ML.TensorFlow\TensorflowUtils.cs:line 598
at Microsoft.ML.Vision.ImageClassificationTrainer.InitializeTrainingGraph(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 625
at Microsoft.ML.Vision.ImageClassificationTrainer.TrainModelCore(TrainContext trainContext) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 664
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.TrainTransformer(IDataView trainSet, IDataView validationSet, IPredictor initPredictor) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 157
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 77
at Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\DataLoadSave\EstimatorChain.cs:line 68
at Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\DataLoadSave\EstimatorChain.cs:line 68
at Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(Architecture arch) in D:\a\_work\1\s\test\Microsoft.ML.TensorFlow.Tests\TensorflowTests.cs:line 1528
at System.RuntimeMethodHandle.InvokeMethod(Object target, Void** arguments, Signature sig, Boolean isConstructor)
at System.Reflection.MethodBaseInvoker.InvokeDirectByRefWithFewArgs(Object obj, Span`1 copyOfArgs, BindingFlags invokeAttr)
      
❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(arch: MobilenetV2)
      Exception Message
      System.Runtime.InteropServices.SEHException : External component has thrown an exception.
      Stack Trace
       at Tensorflow.c_api.TF_SessionRun(IntPtr session, TF_Buffer* run_options, TF_Output[] inputs, IntPtr[] input_values, Int32 ninputs, TF_Output[] outputs, IntPtr[] output_values, Int32 noutputs, IntPtr[] target_opers, Int32 ntargets, IntPtr run_metadata, SafeStatusHandle status)
at Microsoft.ML.TensorFlow.TensorFlowUtils.Runner.Run() in D:\a\_work\1\s\src\Microsoft.ML.TensorFlow\TensorflowUtils.cs:line 598
at Microsoft.ML.Vision.ImageClassificationTrainer.CacheFeaturizedImagesToDisk(IDataView input, String labelColumnName, String imageColumnName, ImageProcessor imageProcessor, String inputTensorName, String outputTensorName, String cacheFilePath, Dataset dataset, Action`1 metricsCallback, Nullable`1 validationFraction) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 838
at Microsoft.ML.Vision.ImageClassificationTrainer.TrainModelCore(TrainContext trainContext) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 683
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.TrainTransformer(IDataView trainSet, IDataView validationSet, IPredictor initPredictor) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 157
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 77
at Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\DataLoadSave\EstimatorChain.cs:line 68
at Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\DataLoadSave\EstimatorChain.cs:line 68
at Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(Architecture arch) in D:\a\_work\1\s\test\Microsoft.ML.TensorFlow.Tests\TensorflowTests.cs:line 1528
at InvokeStub_TensorFlowScenariosTests.TensorFlowImageClassification(Object, Span`1)
at System.Reflection.MethodBaseInvoker.InvokeWithOneArg(Object obj, BindingFlags invokeAttr, Binder binder, Object[] parameters, CultureInfo culture)
      
❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(arch: ResnetV250)
      Exception Message
      System.InvalidOperationException : Splitter/consolidator worker encountered exception while consuming source data\r\n---- System.Runtime.InteropServices.SEHException : External component has thrown an exception.
      Stack Trace
       at Microsoft.ML.Data.DataViewUtils.Splitter.Batch.SetAll(OutPipe[] pipes) in D:\a\_work\1\s\src\Microsoft.ML.Data\Data\DataViewUtils.cs:line 832
at Microsoft.ML.Data.DataViewUtils.Splitter.Cursor.MoveNextCore() in D:\a\_work\1\s\src\Microsoft.ML.Data\Data\DataViewUtils.cs:line 1101
at Microsoft.ML.Data.RootCursorBase.MoveNext() in D:\a\_work\1\s\src\Microsoft.ML.Core\Data\RootCursorBase.cs:line 65
at Microsoft.ML.Data.EvaluatorBase`1.ProcessData(IDataView data, RoleMappedSchema schema, Func`2 activeColsIndices, TAgg aggregator, AggregatorDictionaryBase[] dictionaries) in D:\a\_work\1\s\src\Microsoft.ML.Data\Evaluators\EvaluatorBase.cs:line 162
at Microsoft.ML.Data.EvaluatorBase`1.Microsoft.ML.Data.IEvaluator.Evaluate(RoleMappedData data) in D:\a\_work\1\s\src\Microsoft.ML.Data\Evaluators\EvaluatorBase.cs:line 38
at Microsoft.ML.Data.MulticlassClassificationEvaluator.Evaluate(IDataView data, String label, String score, String predictedLabel) in D:\a\_work\1\s\src\Microsoft.ML.Data\Evaluators\MulticlassClassificationEvaluator.cs:line 562
at Microsoft.ML.MulticlassClassificationCatalog.Evaluate(IDataView data, String labelColumnName, String scoreColumnName, String predictedLabelColumnName, Int32 topKPredictionCount) in D:\a\_work\1\s\src\Microsoft.ML.Data\TrainCatalog.cs:line 535
at Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(Architecture arch) in D:\a\_work\1\s\test\Microsoft.ML.TensorFlow.Tests\TensorflowTests.cs:line 1540
at InvokeStub_TensorFlowScenariosTests.TensorFlowImageClassification(Object, Span`1)
at System.Reflection.MethodBaseInvoker.InvokeWithOneArg(Object obj, BindingFlags invokeAttr, Binder binder, Object[] parameters, CultureInfo culture)
----- Inner Stack Trace -----
at Tensorflow.c_api.TF_SessionRun(IntPtr session, TF_Buffer* run_options, TF_Output[] inputs, IntPtr[] input_values, Int32 ninputs, TF_Output[] outputs, IntPtr[] output_values, Int32 noutputs, IntPtr[] target_opers, Int32 ntargets, IntPtr run_metadata, SafeStatusHandle status)
at Microsoft.ML.TensorFlow.TensorFlowUtils.Runner.Run() in D:\a\_work\1\s\src\Microsoft.ML.TensorFlow\TensorflowUtils.cs:line 598
at Microsoft.ML.Vision.ImageClassificationModelParameters.Classifier.Score(VBuffer`1& image, Span`1 classProbabilities) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 1465
at Microsoft.ML.Vision.ImageClassificationModelParameters.<>c__DisplayClass22_0`2.<Microsoft.ML.Data.IValueMapper.GetMapper>b__0(VBuffer`1& src, VBuffer`1& dst) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 1482
at Microsoft.ML.Data.SchemaBindablePredictorWrapperBase.<>c__DisplayClass19_0`2.<GetValueGetter>b__0(TDst& dst) in D:\a\_work\1\s\src\Microsoft.ML.Data\Scorers\SchemaBindablePredictorWrapper.cs:line 178
at Microsoft.ML.Data.DataViewUtils.Splitter.InPipe.Impl`1.Fill() in D:\a\_work\1\s\src\Microsoft.ML.Data\Data\DataViewUtils.cs:line 722
at Microsoft.ML.Data.DataViewUtils.Splitter.<>c__DisplayClass7_1.<ConsolidateCore>b__2() in D:\a\_work\1\s\src\Microsoft.ML.Data\Data\DataViewUtils.cs:line 421
    ❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassificationBadImages[Details][0.00% failure rate]
    [ 🚧 Report test infrastructure issue][ 📄 Report test repository issue]
    Failing Configuration
    Exception Message
    System.Runtime.InteropServices.SEHException : External component has thrown an exception.
    CallStack
     at Tensorflow.c_api.TF_SessionRun(IntPtr session, TF_Buffer* run_options, TF_Output[] inputs, IntPtr[] input_values, Int32 ninputs, TF_Output[] outputs, IntPtr[] output_values, Int32 noutputs, IntPtr[] target_opers, Int32 ntargets, IntPtr run_metadata, SafeStatusHandle status)
at Microsoft.ML.TensorFlow.TensorFlowUtils.Runner.Run() in D:\a\_work\1\s\src\Microsoft.ML.TensorFlow\TensorflowUtils.cs:line 598
at Microsoft.ML.Vision.ImageClassificationTrainer.CacheFeaturizedImagesToDisk(IDataView input, String labelColumnName, String imageColumnName, ImageProcessor imageProcessor, String inputTensorName, String outputTensorName, String cacheFilePath, Dataset dataset, Action`1 metricsCallback, Nullable`1 validationFraction) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 838
at Microsoft.ML.Vision.ImageClassificationTrainer.TrainModelCore(TrainContext trainContext) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 683
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.TrainTransformer(IDataView trainSet, IDataView validationSet, IPredictor initPredictor) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 157
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 77
at Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassificationBadImages() in D:\a\_work\1\s\test\Microsoft.ML.TensorFlow.Tests\TensorflowTests.cs:line 1890
at System.RuntimeMethodHandle.InvokeMethod(Object target, Void** arguments, Signature sig, Boolean isConstructor)
at System.Reflection.MethodBaseInvoker.InvokeWithNoArgs(Object obj, BindingFlags invokeAttr)
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View more details on Build Analysis


, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
Fix minor typo in BinFinder.cs - #7496
Merged
ericstj merged 1 commit into
dotnet:mainfrom 
KM5075:fix-typo-doc-comments
Oct 1, 2025
Merged
Fix minor typo in BinFinder.cs#7496
ericstj merged 1 commit into
dotnet:mainfrom 
KM5075:fix-typo-doc-comments

Fix minor typo in BinFinder.cs

7dbfe7a
Select commit
Loading

Failed to load commit list.

Build Analysis / Build Analysis
failed
Aug 17, 2025 in 0s

.NET Result Analysis
Details
Tip
To unconditionally bypass the build analysis check (turn it green), you can use the escape mechanism feature. The completion time may vary, potentially taking several minutes, depending on the build analysis workload at the moment.
Build Failures
MachineLearning-CodeCoverage / Windows_x64 / Windows_x64 Build_Debug / Run All Tests.
[ 🚧 Report infrastructure issue][ 📄 Report repository issue]
    
❌Cmd.exe exited with code '1'.

Test Failures (2 tests failed)
🔹 [All failing tests from MachineLearning-CodeCoverage]
    ❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification[Details][0.00% failure rate]
    [ 🚧 Report test infrastructure issue][ 📄 Report test repository issue]
    Failing Configuration
    Data Driven SubResults
      
❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(arch: ResnetV2101)
      Exception Message
      System.Runtime.InteropServices.SEHException : External component has thrown an exception.
      Stack Trace
       at Tensorflow.c_api.TF_SessionRun(IntPtr session, TF_Buffer* run_options, TF_Output[] inputs, IntPtr[] input_values, Int32 ninputs, TF_Output[] outputs, IntPtr[] output_values, Int32 noutputs, IntPtr[] target_opers, Int32 ntargets, IntPtr run_metadata, SafeStatusHandle status)
at Microsoft.ML.TensorFlow.TensorFlowUtils.Runner.Run() in D:\a\_work\1\s\src\Microsoft.ML.TensorFlow\TensorflowUtils.cs:line 598
at Microsoft.ML.Vision.ImageClassificationTrainer.InitializeTrainingGraph(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 625
at Microsoft.ML.Vision.ImageClassificationTrainer.TrainModelCore(TrainContext trainContext) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 664
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.TrainTransformer(IDataView trainSet, IDataView validationSet, IPredictor initPredictor) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 157
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 77
at Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\DataLoadSave\EstimatorChain.cs:line 68
at Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\DataLoadSave\EstimatorChain.cs:line 68
at Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(Architecture arch) in D:\a\_work\1\s\test\Microsoft.ML.TensorFlow.Tests\TensorflowTests.cs:line 1528
at System.RuntimeMethodHandle.InvokeMethod(Object target, Void** arguments, Signature sig, Boolean isConstructor)
at System.Reflection.MethodBaseInvoker.InvokeDirectByRefWithFewArgs(Object obj, Span`1 copyOfArgs, BindingFlags invokeAttr)
      
❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(arch: MobilenetV2)
      Exception Message
      System.Runtime.InteropServices.SEHException : External component has thrown an exception.
      Stack Trace
       at Tensorflow.c_api.TF_SessionRun(IntPtr session, TF_Buffer* run_options, TF_Output[] inputs, IntPtr[] input_values, Int32 ninputs, TF_Output[] outputs, IntPtr[] output_values, Int32 noutputs, IntPtr[] target_opers, Int32 ntargets, IntPtr run_metadata, SafeStatusHandle status)
at Microsoft.ML.TensorFlow.TensorFlowUtils.Runner.Run() in D:\a\_work\1\s\src\Microsoft.ML.TensorFlow\TensorflowUtils.cs:line 598
at Microsoft.ML.Vision.ImageClassificationTrainer.CacheFeaturizedImagesToDisk(IDataView input, String labelColumnName, String imageColumnName, ImageProcessor imageProcessor, String inputTensorName, String outputTensorName, String cacheFilePath, Dataset dataset, Action`1 metricsCallback, Nullable`1 validationFraction) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 838
at Microsoft.ML.Vision.ImageClassificationTrainer.TrainModelCore(TrainContext trainContext) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 683
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.TrainTransformer(IDataView trainSet, IDataView validationSet, IPredictor initPredictor) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 157
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 77
at Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\DataLoadSave\EstimatorChain.cs:line 68
at Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\DataLoadSave\EstimatorChain.cs:line 68
at Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(Architecture arch) in D:\a\_work\1\s\test\Microsoft.ML.TensorFlow.Tests\TensorflowTests.cs:line 1528
at InvokeStub_TensorFlowScenariosTests.TensorFlowImageClassification(Object, Span`1)
at System.Reflection.MethodBaseInvoker.InvokeWithOneArg(Object obj, BindingFlags invokeAttr, Binder binder, Object[] parameters, CultureInfo culture)
      
❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(arch: ResnetV250)
      Exception Message
      System.InvalidOperationException : Splitter/consolidator worker encountered exception while consuming source data\r\n---- System.Runtime.InteropServices.SEHException : External component has thrown an exception.
      Stack Trace
       at Microsoft.ML.Data.DataViewUtils.Splitter.Batch.SetAll(OutPipe[] pipes) in D:\a\_work\1\s\src\Microsoft.ML.Data\Data\DataViewUtils.cs:line 832
at Microsoft.ML.Data.DataViewUtils.Splitter.Cursor.MoveNextCore() in D:\a\_work\1\s\src\Microsoft.ML.Data\Data\DataViewUtils.cs:line 1101
at Microsoft.ML.Data.RootCursorBase.MoveNext() in D:\a\_work\1\s\src\Microsoft.ML.Core\Data\RootCursorBase.cs:line 65
at Microsoft.ML.Data.EvaluatorBase`1.ProcessData(IDataView data, RoleMappedSchema schema, Func`2 activeColsIndices, TAgg aggregator, AggregatorDictionaryBase[] dictionaries) in D:\a\_work\1\s\src\Microsoft.ML.Data\Evaluators\EvaluatorBase.cs:line 162
at Microsoft.ML.Data.EvaluatorBase`1.Microsoft.ML.Data.IEvaluator.Evaluate(RoleMappedData data) in D:\a\_work\1\s\src\Microsoft.ML.Data\Evaluators\EvaluatorBase.cs:line 38
at Microsoft.ML.Data.MulticlassClassificationEvaluator.Evaluate(IDataView data, String label, String score, String predictedLabel) in D:\a\_work\1\s\src\Microsoft.ML.Data\Evaluators\MulticlassClassificationEvaluator.cs:line 562
at Microsoft.ML.MulticlassClassificationCatalog.Evaluate(IDataView data, String labelColumnName, String scoreColumnName, String predictedLabelColumnName, Int32 topKPredictionCount) in D:\a\_work\1\s\src\Microsoft.ML.Data\TrainCatalog.cs:line 535
at Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassification(Architecture arch) in D:\a\_work\1\s\test\Microsoft.ML.TensorFlow.Tests\TensorflowTests.cs:line 1540
at InvokeStub_TensorFlowScenariosTests.TensorFlowImageClassification(Object, Span`1)
at System.Reflection.MethodBaseInvoker.InvokeWithOneArg(Object obj, BindingFlags invokeAttr, Binder binder, Object[] parameters, CultureInfo culture)
----- Inner Stack Trace -----
at Tensorflow.c_api.TF_SessionRun(IntPtr session, TF_Buffer* run_options, TF_Output[] inputs, IntPtr[] input_values, Int32 ninputs, TF_Output[] outputs, IntPtr[] output_values, Int32 noutputs, IntPtr[] target_opers, Int32 ntargets, IntPtr run_metadata, SafeStatusHandle status)
at Microsoft.ML.TensorFlow.TensorFlowUtils.Runner.Run() in D:\a\_work\1\s\src\Microsoft.ML.TensorFlow\TensorflowUtils.cs:line 598
at Microsoft.ML.Vision.ImageClassificationModelParameters.Classifier.Score(VBuffer`1& image, Span`1 classProbabilities) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 1465
at Microsoft.ML.Vision.ImageClassificationModelParameters.<>c__DisplayClass22_0`2.<Microsoft.ML.Data.IValueMapper.GetMapper>b__0(VBuffer`1& src, VBuffer`1& dst) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 1482
at Microsoft.ML.Data.SchemaBindablePredictorWrapperBase.<>c__DisplayClass19_0`2.<GetValueGetter>b__0(TDst& dst) in D:\a\_work\1\s\src\Microsoft.ML.Data\Scorers\SchemaBindablePredictorWrapper.cs:line 178
at Microsoft.ML.Data.DataViewUtils.Splitter.InPipe.Impl`1.Fill() in D:\a\_work\1\s\src\Microsoft.ML.Data\Data\DataViewUtils.cs:line 722
at Microsoft.ML.Data.DataViewUtils.Splitter.<>c__DisplayClass7_1.<ConsolidateCore>b__2() in D:\a\_work\1\s\src\Microsoft.ML.Data\Data\DataViewUtils.cs:line 421
    ❌ Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassificationBadImages[Details][0.00% failure rate]
    [ 🚧 Report test infrastructure issue][ 📄 Report test repository issue]
    Failing Configuration
    Exception Message
    System.Runtime.InteropServices.SEHException : External component has thrown an exception.
    CallStack
     at Tensorflow.c_api.TF_SessionRun(IntPtr session, TF_Buffer* run_options, TF_Output[] inputs, IntPtr[] input_values, Int32 ninputs, TF_Output[] outputs, IntPtr[] output_values, Int32 noutputs, IntPtr[] target_opers, Int32 ntargets, IntPtr run_metadata, SafeStatusHandle status)
at Microsoft.ML.TensorFlow.TensorFlowUtils.Runner.Run() in D:\a\_work\1\s\src\Microsoft.ML.TensorFlow\TensorflowUtils.cs:line 598
at Microsoft.ML.Vision.ImageClassificationTrainer.CacheFeaturizedImagesToDisk(IDataView input, String labelColumnName, String imageColumnName, ImageProcessor imageProcessor, String inputTensorName, String outputTensorName, String cacheFilePath, Dataset dataset, Action`1 metricsCallback, Nullable`1 validationFraction) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 838
at Microsoft.ML.Vision.ImageClassificationTrainer.TrainModelCore(TrainContext trainContext) in D:\a\_work\1\s\src\Microsoft.ML.Vision\ImageClassificationTrainer.cs:line 683
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.TrainTransformer(IDataView trainSet, IDataView validationSet, IPredictor initPredictor) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 157
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.Fit(IDataView input) in D:\a\_work\1\s\src\Microsoft.ML.Data\Training\TrainerEstimatorBase.cs:line 77
at Microsoft.ML.TensorFlow.Scenarios.TensorFlowScenariosTests.TensorFlowImageClassificationBadImages() in D:\a\_work\1\s\test\Microsoft.ML.TensorFlow.Tests\TensorflowTests.cs:line 1890
at System.RuntimeMethodHandle.InvokeMethod(Object target, Void** arguments, Signature sig, Boolean isConstructor)
at System.Reflection.MethodBaseInvoker.InvokeWithNoArgs(Object obj, BindingFlags invokeAttr)
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