Crate trustformers_debug 

TrustformeRS Debug

Advanced debugging tools for TrustformeRS models including tensor inspection, gradient debugging, and model diagnostics.

Re-exports

pub use model_diagnostics_main::ModelDiagnostics;

pub use model_diagnostics_main::ModelDiagnosticsReport;

pub use model_diagnostics::ActivationHeatmap;

pub use model_diagnostics::ActiveAlert;

pub use model_diagnostics::AdvancedAnalytics;

pub use model_diagnostics::AlertConfig;

pub use model_diagnostics::AlertManager;

pub use model_diagnostics::AlertSeverity;

pub use model_diagnostics::AlertStatistics;

pub use model_diagnostics::AlertStatus;

pub use model_diagnostics::AlertThresholds;

pub use model_diagnostics::AnalyticsConfig;

pub use model_diagnostics::AnalyticsReport;

pub use model_diagnostics::AnomalyDetectionResults;

pub use model_diagnostics::ArchitecturalAnalysis;

pub use model_diagnostics::AttentionVisualization;

pub use model_diagnostics::AutoDebugConfig;

pub use model_diagnostics::AutoDebugger;

pub use model_diagnostics::ConvergenceStatus;

pub use model_diagnostics::DebuggingRecommendation;

pub use model_diagnostics::DebuggingReport;

pub use model_diagnostics::HiddenStateAnalysis;

pub use model_diagnostics::IdentifiedIssue;

pub use model_diagnostics::IssueCategory;

pub use model_diagnostics::IssueSeverity;

pub use model_diagnostics::LayerActivationStats;

pub use model_diagnostics::LayerAnalysis;

pub use model_diagnostics::LayerAnalysisConfig;

pub use model_diagnostics::LayerAnalyzer;

pub use model_diagnostics::ModelArchitectureInfo;

pub use model_diagnostics::ModelDiagnosticAlert;

pub use model_diagnostics::ModelPerformanceMetrics;

pub use model_diagnostics::OverfittingIndicator;

pub use model_diagnostics::PerformanceAnalyzer;

pub use model_diagnostics::PerformanceAnomaly;

pub use model_diagnostics::PerformanceSummary;

pub use model_diagnostics::PlateauInfo;

pub use model_diagnostics::StatisticalAnalysis;

pub use model_diagnostics::TrainingDynamics;

pub use model_diagnostics::TrainingDynamicsAnalyzer;

pub use model_diagnostics::TrainingStability;

pub use model_diagnostics::UnderfittingIndicator;

pub use model_diagnostics::WeightDistribution;

pub use advanced_gpu_profiler::AdvancedGpuMemoryProfiler;

pub use advanced_gpu_profiler::AdvancedGpuProfilingConfig;

pub use advanced_gpu_profiler::CrossDeviceTransfer;

pub use advanced_gpu_profiler::GpuMemoryAllocation;

pub use advanced_gpu_profiler::GpuMemoryType;

pub use advanced_gpu_profiler::HighImpactOptimization;

pub use advanced_gpu_profiler::KernelOptimizationSummaryReport;

pub use advanced_gpu_profiler::MemoryAnalysisReport;

pub use advanced_gpu_profiler::MemoryFragmentationSnapshot;

pub use kernel_optimizer::KernelOptimizationAnalyzer;

pub use kernel_optimizer::KernelOptimizationConfig;

pub use kernel_optimizer::KernelOptimizationReport;

pub use kernel_optimizer::KernelProfileData;

pub use tensorboard_integration::create_graph_node;

pub use tensorboard_integration::tensor_to_histogram_values;

pub use tensorboard_integration::GraphDef;

pub use tensorboard_integration::GraphNode as TensorBoardGraphNode;

pub use tensorboard_integration::HistogramEvent;

pub use tensorboard_integration::ScalarEvent;

pub use tensorboard_integration::TensorBoardWriter;

pub use tensorboard_integration::TextEvent;

pub use netron_export::AttributeValue;

pub use netron_export::ExportFormat;

pub use netron_export::GraphNode as NetronGraphNode;

pub use netron_export::ModelGraph;

pub use netron_export::ModelMetadata;

pub use netron_export::NetronExporter;

pub use netron_export::NetronModel;

pub use netron_export::TensorData;

pub use netron_export::TensorInfo;

pub use activation_visualizer::ActivationConfig;

pub use activation_visualizer::ActivationData;

pub use activation_visualizer::ActivationHeatmap as ActivationVisualizerHeatmap;

pub use activation_visualizer::ActivationHistogram;

pub use activation_visualizer::ActivationStatistics;

pub use activation_visualizer::ActivationVisualizer;

pub use attention_visualizer::AttentionAnalysis;

pub use attention_visualizer::AttentionFlow;

pub use attention_visualizer::AttentionHeatmap as AttentionVisualizerHeatmap;

pub use attention_visualizer::AttentionType;

pub use attention_visualizer::AttentionVisualizer;

pub use attention_visualizer::AttentionVisualizerConfig;

pub use attention_visualizer::AttentionWeights;

pub use attention_visualizer::ColorScheme;

pub use stability_checker::IssueKind;

pub use stability_checker::StabilityChecker;

pub use stability_checker::StabilityConfig;

pub use stability_checker::StabilityIssue;

pub use stability_checker::StabilitySummary;

pub use graph_visualizer::ComputationGraph;

pub use graph_visualizer::GraphColorScheme;

pub use graph_visualizer::GraphEdge;

pub use graph_visualizer::GraphNode as GraphVisualizerNode;

pub use graph_visualizer::GraphStatistics;

pub use graph_visualizer::GraphVisualizer;

pub use graph_visualizer::GraphVisualizerConfig;

pub use graph_visualizer::LayoutDirection;

pub use unified_debug_session::SessionSummary;

pub use unified_debug_session::UnifiedDebugSession;

pub use unified_debug_session::UnifiedDebugSessionConfig;

pub use weight_analyzer::InitializationScheme;

pub use weight_analyzer::WeightAnalysis;

pub use weight_analyzer::WeightAnalyzer;

pub use weight_analyzer::WeightAnalyzerConfig;

pub use weight_analyzer::WeightHistogram;

pub use weight_analyzer::WeightStatistics;

pub use mlflow_integration::ArtifactType;

pub use mlflow_integration::MLflowClient;

pub use mlflow_integration::MLflowConfig;

pub use mlflow_integration::MLflowDebugSession;

pub use mlflow_integration::MetricPoint;

pub use mlflow_integration::RunInfo;

pub use mlflow_integration::RunStatus;

pub use visualization_plugins::OutputFormat as PluginOutputFormat;

pub use visualization_plugins::PluginConfig;

pub use visualization_plugins::PluginManager;

pub use visualization_plugins::PluginMetadata;

pub use visualization_plugins::PluginResult;

pub use visualization_plugins::VisualizationData;

pub use visualization_plugins::VisualizationPlugin;

pub use performance_tuning::Difficulty;

pub use performance_tuning::HardwareType;

pub use performance_tuning::ImpactEstimate;

pub use performance_tuning::PerformanceSnapshot;

pub use performance_tuning::PerformanceSummary as TuningPerformanceSummary;

pub use performance_tuning::PerformanceTuner;

pub use performance_tuning::Priority;

pub use performance_tuning::Recommendation;

pub use performance_tuning::RecommendationCategory;

pub use performance_tuning::TunerConfig;

pub use performance_tuning::TuningReport;

pub use realtime_dashboard::AlertSeverity as DashboardAlertSeverity;

pub use advanced_ml_debugging::*;

pub use ai_code_analyzer::*;

pub use anomaly_detector::*;

pub use architecture_analysis::*;

pub use auto_debugger::*;

pub use behavior_analysis::*;

pub use cicd_integration::*;

pub use collaboration::*;

pub use computation_graph::*;

pub use dashboard::*;

pub use data_export::*;

pub use differential_debugging::*;

pub use distributed_debugger::*;

pub use distributed_profiling::*;

pub use environmental_monitor::*;

pub use error_recovery::*;

pub use flame_graph_profiler::*;

pub use gradient_debugger::*;

pub use health_checker::*;

pub use hooks::*;

pub use ide_integration::*;

pub use interactive_debugger::*;

pub use large_model_viz::*;

pub use llm_debugging::*;

pub use memory_profiler::*;

pub use model_diagnostics::*;

pub use neural_network_debugging::*;

pub use profiler::*;

pub use quantum_debugging::*;

pub use realtime_dashboard::*;

pub use regression_detector::*;

pub use report_generation::*;

pub use simulation_tools::*;

pub use streaming_debugger::*;

pub use team_dashboard::*;

pub use tensor_inspector::*;

pub use training_dynamics::*;

pub use utilities::*;

pub use visualization::*;

pub use core::*;

pub use guided::*;

pub use help::*;

pub use interface::*;

pub use performance::*;

pub use tutorial::*;

Modules

activation_visualizer

Activation visualization tools for layer-wise debugging

advanced_gpu_profiler

Advanced GPU profiling and kernel optimization tools

advanced_ml_debugging

Advanced ML Debugging Tools

ai_code_analyzer

AI-Powered Code Analysis for Model Debugging

anomaly_detector

Anomaly Detection for Model Debugging

architecture_analysis

Architecture Analysis

attention_visualizer

Attention pattern visualization for transformer models

auto_debugger

Automated debugging system for common issues and optimization suggestions

behavior_analysis

Behavior Analysis

cicd_integration

CI/CD Integration tools for TrustformeRS debugging

collaboration

Collaboration features for sharing and annotating debugging reports

computation_graph

Computation graph analysis tools for debugging deep learning models.

core

Core debugging session and configuration management Core debugging session and configuration management

dashboard

Interactive dashboards for real-time monitoring and analysis

data_export

Data export capabilities for debugging tools

differential_debugging

Differential Debugging System

distributed_debugger

Auto-generated module structure

distributed_profiling

Enhanced Distributed Training Profiling

environmental_monitor

Environmental Impact Monitoring Module

error_recovery

Comprehensive error recovery mechanisms for debugging sessions

flame_graph_profiler

Advanced flame graph profiling implementation for TrustformeRS Debug

gradient_debugger

Gradient Debugging and Analysis Tools

graph_visualizer

Computation graph visualization tools

guided

Guided debugging system with step-by-step workflows Guided debugging system

health_checker

Model and training health assessment system

help

Context-aware help system Context-aware help system

hooks

Debugging hooks for automatic tensor and gradient tracking

ide_integration

IDE integration tools for TrustformeRS debugging

interactive_debugger

Interactive Debugger for TrustformeRS

interface

Simplified debugging interface with one-line functions Simplified debugging interface

interpretability_tools

Interpretability Tools

kernel_optimizer

Kernel optimization analyzer and recommendation engine

large_model_viz

Large Model Visualization with Memory Efficiency

llm_debugging

Large Language Model (LLM) Specific Debugging

memory_profiler

Advanced memory profiling for TrustformeRS models.

mlflow_integration

MLflow Integration for Experiment Tracking

model_diagnostics

Model Diagnostics Module Organization

model_diagnostics_main

Model-level diagnostics and analysis tools.

netron_export

Netron export functionality for model visualization

neural_network_debugging

Advanced Neural Network Debugging Utilities

performance

Performance optimization system for production debugging Performance optimization system for debugging

performance_tuning

Automated Performance Tuning Recommendations

profiler

Performance profiling tools for debugging

quantum_debugging

Auto-generated module structure

realtime_dashboard

Real-Time Debugging Dashboard

regression_detector

AI-powered Performance Regression Detection System

report_generation

Report Generation for TrustformeRS Debug

simulation_tools

Simulation Tools for Model Testing and Analysis

stability_checker

Numerical stability checking for model debugging

streaming_debugger

Auto-generated module structure

team_dashboard

Team collaboration dashboard for debugging sessions

tensor_inspector

Tensor inspection and analysis tools

tensorboard_integration

TensorBoard integration for exporting training metrics and visualizations

training_dynamics

Training Dynamics Analysis

tutorial

Interactive tutorial and learning system Interactive tutorial and learning system

unified_debug_session

Unified debugging session manager

utilities

Utilities module for common debugging operations and helper functions

visualization

Visualization module for TrustformeRS debugging tools

visualization_plugins

Custom Visualization Plugin System

weight_analyzer

Weight distribution analysis tools

Macros

ai_analyze

Macro for quick AI code analysis

alert_hook

debug_attention

debug_gradient

debug_llm_batch

debug_llm_response

Convenience macros for LLM debugging

debug_tensor

Debugging convenience macros

debug_transformer

gradient_hook

monitor_gradient_sync

Macro for monitoring gradient synchronization

perf_checkpoint

perf_end_checkpoint

profile_scope

Macro for convenient timing

quick_debug

record_environmental_impact

Macro for quick environmental impact recording

stream_anomaly

stream_gradients

stream_tensor

Convenience macros for streaming debugging

tensor_hook

Convenience macros for creating hooks