DebugConfig

trustformers_debug::core::session

Struct DebugConfig 

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pub struct DebugConfig {
Show 24 fields
    pub enable_tensor_inspection: bool,
    pub enable_gradient_debugging: bool,
    pub enable_model_diagnostics: bool,
    pub enable_visualization: bool,
    pub enable_memory_profiling: bool,
    pub enable_computation_graph_analysis: bool,
    pub max_tracked_tensors: usize,
    pub max_gradient_history: usize,
    pub output_dir: Option<String>,
    pub sampling_rate: f32,
    pub memory_profiling_config: MemoryProfilingConfig,
    pub graph_analysis_config: GraphAnalysisConfig,
    pub architecture_analysis_config: ArchitectureAnalysisConfig,
    pub behavior_analysis_config: BehaviorAnalysisConfig,
    pub training_dynamics_config: TrainingDynamicsConfig,
    pub differential_debugging_config: DifferentialDebuggingConfig,
    pub interpretability_config: InterpretabilityConfig,
    pub neural_network_debugging_config: Option<TransformerDebugConfig>,
    pub advanced_ml_debugging_config: AdvancedMLDebuggingConfig,
    pub advanced_gpu_profiling_config: AdvancedGpuProfilingConfig,
    pub kernel_optimization_config: KernelOptimizationConfig,
    pub ai_code_analysis_config: AIAnalysisConfig,
    pub distributed_debugging_config: Option<DistributedDebugConfig>,
    pub environmental_monitoring_config: EnvironmentalConfig,

}
Expand description

Configuration for debugging session

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§enable_tensor_inspection: bool

Enable tensor inspection

§enable_gradient_debugging: bool

Enable gradient debugging

§enable_model_diagnostics: bool

Enable model diagnostics

§enable_visualization: bool

Enable visual debugging (requires display)

§enable_memory_profiling: bool

Enable memory profiling

§enable_computation_graph_analysis: bool

Enable computation graph analysis

§max_tracked_tensors: usize

Maximum number of tensors to track

§max_gradient_history: usize

Maximum history length for gradients

§output_dir: Option<String>

Output directory for debug artifacts

§sampling_rate: f32

Sampling rate for expensive operations (0.0 to 1.0)

§memory_profiling_config: MemoryProfilingConfig

Memory profiling configuration

§graph_analysis_config: GraphAnalysisConfig

Computation graph analysis configuration

§architecture_analysis_config: ArchitectureAnalysisConfig

Architecture analysis configuration

§behavior_analysis_config: BehaviorAnalysisConfig

Behavior analysis configuration

§training_dynamics_config: TrainingDynamicsConfig

Training dynamics analysis configuration

§differential_debugging_config: DifferentialDebuggingConfig

Differential debugging configuration

§interpretability_config: InterpretabilityConfig

Interpretability tools configuration

§neural_network_debugging_config: Option<TransformerDebugConfig>

Neural network debugging configuration

§advanced_ml_debugging_config: AdvancedMLDebuggingConfig

Advanced ML debugging configuration

§advanced_gpu_profiling_config: AdvancedGpuProfilingConfig

Advanced GPU profiling configuration

§kernel_optimization_config: KernelOptimizationConfig

Kernel optimization configuration

§ai_code_analysis_config: AIAnalysisConfig

AI code analysis configuration

§distributed_debugging_config: Option<DistributedDebugConfig>

Distributed debugging configuration

§environmental_monitoring_config: EnvironmentalConfig

Environmental monitoring configuration

Trait Implementations§

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impl Clone for DebugConfig

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fn clone(&self) -> DebugConfig

Returns a duplicate of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for DebugConfig

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more
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impl Default for DebugConfig

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fn default() -> Self

Returns the “default value” for a type. Read more
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impl<'de> Deserialize<'de> for DebugConfig

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fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>
where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer. Read more
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impl Serialize for DebugConfig

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fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>
where __S: Serializer,

Serialize this value into the given Serde serializer. Read more

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