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 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 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 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

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

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

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

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

llm_debugging

Large Language Model (LLM) Specific Debugging

memory_profiler

Advanced memory profiling for TrustformeRS models.

model_diagnostics

Model Diagnostics Module Organization

model_diagnostics_main

Model-level diagnostics and analysis tools.

neural_network_debugging

Advanced Neural Network Debugging Utilities

performance

Performance optimization system for production debugging Performance optimization system for debugging

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

streaming_debugger

Auto-generated module structure

team_dashboard

Team collaboration dashboard for debugging sessions

tensor_inspector

Tensor inspection and analysis tools

training_dynamics

Training Dynamics Analysis

tutorial

Interactive tutorial and learning system Interactive tutorial and learning system

utilities

Utilities module for common debugging operations and helper functions

visualization

Visualization module for TrustformeRS debugging 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