## Major Achievements ### 1. CUDA Made Default & Mandatory (Agent 143) - CUDA now default feature in ml/Cargo.toml - All training requires GPU (no silent CPU fallback) - Added get_training_device() helper with fail-fast errors - Removed --use-gpu flags (GPU mandatory) - **Impact**: No more wasting time on accidental CPU training ### 2. TFT Training COMPLETE (Agent 144) - ✅ Training completed successfully in 7.6 minutes - ✅ Early stopping at epoch 100/200 (best val loss: 0.097318) - ✅ 11 checkpoints saved to ml/trained_models/production/tft/ - ✅ GPU Performance: 99% utilization, 367MB VRAM, 4.4s/epoch - ✅ 10x speedup vs CPU (4.4s vs 43-55s per epoch) - **Status**: PRODUCTION READY ### 3. TFT CUDA Tensor Contiguity Fix (Agent 142) - Fixed "matmul not supported for non-contiguous tensors" error - Added .contiguous() call after narrow() operation in QuantileLayer - Enabled CUDA-accelerated TFT training - **Files**: ml/src/tft/quantile_outputs.rs ### 4. MAMBA-2 CUDA Layer Normalization (Agent 145) - Created CudaLayerNorm wrapper for missing CUDA kernel - Implemented manual layer norm: γ * (x - μ) / sqrt(σ² + ε) + β - MAMBA-2 now runs on CUDA (no more "no cuda implementation" error) - **Files**: ml/src/mamba/mod.rs ### 5. TDD E2E Test Suite (Agent 146) ⭐ - Created comprehensive MAMBA-2 test suite (297 lines) - 7 tests: shapes, batches, CUDA, gradients, configs - **16x faster debugging**: 5s per iteration vs 80s - Already caught dtype mismatch bug (F32 vs F64) - **Files**: ml/tests/e2e_mamba2_training.rs ## Agent Summary (Agents 126-146) ### Code Fixes (Parallel - Agents 137-141) - **Agent 137**: MAMBA-2 batch dimension fix (streaming + batch loaders) - **Agent 138**: Liquid NN API fix (mutable loader, iterator fix) - **Agent 139**: PPO CheckpointMetadata fix (signature fields) - **Agent 140**: Paper trading executor (498 lines, 100ms polling) - **Agent 141**: Real model loading (RealDQNModel, RealPPOModel) ### Infrastructure (Agents 143-146) - **Agent 143**: CUDA mandatory (Cargo.toml, device helpers) - **Agent 144**: TFT verification (completion monitoring) - **Agent 145**: MAMBA-2 CUDA layer norm wrapper - **Agent 146**: TDD E2E test suite (16x faster debugging) ## Files Modified ### Core ML Infrastructure - ml/Cargo.toml: Added default = ["minimal-inference", "cuda"] - ml/src/lib.rs: Added get_training_device() helper (+109 lines) - ml/src/tft/quantile_outputs.rs: Fixed tensor contiguity - ml/src/mamba/mod.rs: Added CudaLayerNorm wrapper (+41 lines) ### Training Scripts - ml/examples/train_tft_dbn.rs: Removed --use-gpu flag - ml/examples/train_ppo.rs: Removed --use-gpu flag - ml/examples/train_mamba2_dbn.rs: Forced CUDA-only mode - ml/examples/train_liquid_dbn.rs: Fixed API usage ### Data Loaders - ml/src/data_loaders/dbn_sequence_loader.rs: Fixed batch dimensions - ml/src/data_loaders/streaming_dbn_loader.rs: Fixed batch dimensions ### Trading Service - services/trading_service/src/paper_trading_executor.rs: New executor (+498 lines) - services/trading_service/src/services/enhanced_ml.rs: Real model loading - services/trading_service/src/ensemble_coordinator.rs: Integration ### Tests - ml/tests/e2e_mamba2_training.rs: New TDD test suite (+297 lines) ### Trainers - ml/src/trainers/tft.rs: Fixed CheckpointMetadata signature fields ## Performance Metrics ### TFT Training - Duration: 7.6 minutes (100 epochs with early stopping) - GPU Utilization: 99% - GPU Memory: 367MB / 4GB (9%) - Epoch Time: 4.4 seconds (vs 43-55s on CPU) - Speedup: 10x vs CPU - Status: ✅ PRODUCTION READY ### TDD Testing - Test Execution: 5-10 seconds per test - Debugging Iteration: 5 seconds (vs 80 seconds before) - Speedup: 16x faster debugging - First Bug Found: <1 minute (dtype mismatch) ## Documentation - 21 comprehensive agent reports - TDD quick start guide - CUDA troubleshooting guide - Training verification procedures ## Next Steps 1. Fix MAMBA-2 dtype mismatch (F32→F64) - 2 minutes 2. Run MAMBA-2 tests until passing - 5-10 minutes 3. Launch full MAMBA-2 training - 200 epochs 4. Launch Liquid NN training ## System Status - TFT: ✅ COMPLETE (production ready) - MAMBA-2: 🧪 IN TESTING (TDD suite ready) - CUDA: ✅ DEFAULT (mandatory for training) - Tests: ✅ 16x faster debugging 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
584 lines
19 KiB
Bash
Executable File
584 lines
19 KiB
Bash
Executable File
#!/bin/bash
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# UNIFIED TRAINING MONITORING DASHBOARD - Agent 134
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# Monitors all 5 model training processes with GPU metrics, epoch progress, and alerting
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set -e
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# Color definitions
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RED='\033[0;31m'
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YELLOW='\033[1;33m'
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GREEN='\033[0;32m'
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BLUE='\033[0;34m'
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CYAN='\033[0;36m'
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MAGENTA='\033[0;35m'
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NC='\033[0m' # No Color
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# Monitoring configuration
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REFRESH_INTERVAL=30 # Refresh every 30 seconds
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LOG_DIR="/home/jgrusewski/Work/foxhunt"
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ALERT_LOG="/tmp/training_alerts.log"
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STATUS_FILE="/tmp/training_dashboard_status.txt"
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# Training process definitions (name, log file, expected epochs, PID file)
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declare -A TRAINING_PROCESSES=(
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["TFT"]="tft_training_output.log:200:/tmp/tft_training.pid"
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["MAMBA2"]="mamba2_training_output.log:200:/tmp/mamba2_training.pid"
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["Liquid"]="liquid_training_output.log:200:/tmp/liquid_training.pid"
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["DQN"]="/tmp/tuning_run.log:50:/tmp/dqn_tuning.pid"
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["PPO"]="/tmp/ppo_tuning_run.log:50:/tmp/ppo_tuning.pid"
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)
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# Function to log alerts
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log_alert() {
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local level=$1
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local model=$2
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local message=$3
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echo "[$(date '+%Y-%m-%d %H:%M:%S')] [$level] [$model] $message" >> "$ALERT_LOG"
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}
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# Function to get GPU metrics
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get_gpu_metrics() {
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if command -v nvidia-smi &> /dev/null; then
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nvidia-smi --query-gpu=index,name,utilization.gpu,memory.used,memory.total,temperature.gpu,power.draw --format=csv,noheader,nounits 2>/dev/null || echo "0,N/A,0,0,0,0,0"
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else
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echo "0,N/A,0,0,0,0,0"
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fi
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}
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# Function to parse GPU metrics into readable format
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format_gpu_metrics() {
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local metrics=$1
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local gpu_util=$(echo "$metrics" | cut -d',' -f3 | xargs)
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local mem_used=$(echo "$metrics" | cut -d',' -f4 | xargs)
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local mem_total=$(echo "$metrics" | cut -d',' -f5 | xargs)
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local temp=$(echo "$metrics" | cut -d',' -f6 | xargs)
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local power=$(echo "$metrics" | cut -d',' -f7 | xargs)
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# Calculate memory percentage
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local mem_percent=0
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if [ "$mem_total" -gt 0 ] 2>/dev/null; then
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mem_percent=$(echo "scale=1; $mem_used * 100 / $mem_total" | bc 2>/dev/null || echo "0")
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fi
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# Color code based on utilization
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local util_color=$GREEN
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if [ "$gpu_util" -gt 70 ] 2>/dev/null; then
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util_color=$YELLOW
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fi
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if [ "$gpu_util" -gt 90 ] 2>/dev/null; then
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util_color=$RED
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fi
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echo -e "${util_color}GPU: ${gpu_util}%${NC} | VRAM: ${mem_used}/${mem_total}MB (${mem_percent}%) | Temp: ${temp}°C | Power: ${power}W"
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}
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# Function to get process status
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get_process_status() {
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local pid_file=$1
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if [ ! -f "$pid_file" ]; then
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echo "NOT_STARTED"
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return
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fi
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local pid=$(cat "$pid_file" 2>/dev/null)
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if [ -z "$pid" ]; then
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echo "NOT_STARTED"
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return
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fi
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if ps -p "$pid" > /dev/null 2>&1; then
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echo "RUNNING:$pid"
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else
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echo "STOPPED"
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fi
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}
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# Function to extract epoch progress from log file
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get_epoch_progress() {
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local log_file=$1
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local model_name=$2
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if [ ! -f "$log_file" ]; then
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echo "0/0|0|N/A"
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return
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fi
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# Different parsing logic for different models
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case "$model_name" in
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"TFT"|"MAMBA2"|"Liquid")
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# Look for epoch completion patterns like "Epoch 45/200" or "Epoch 45 complete"
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local last_epoch=$(grep -oP "Epoch \K\d+" "$log_file" 2>/dev/null | tail -1 || echo "0")
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local total_epochs=$(grep -oP "Epoch \d+/\K\d+" "$log_file" 2>/dev/null | head -1 || echo "0")
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local last_loss=$(grep -oP "loss: \K[\d\.]+" "$log_file" 2>/dev/null | tail -1 || echo "N/A")
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# If total_epochs not found, use expected
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[ "$total_epochs" == "0" ] && total_epochs=$(echo "${TRAINING_PROCESSES[$model_name]}" | cut -d':' -f2)
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# Calculate percentage
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local percent=0
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if [ "$total_epochs" -gt 0 ] 2>/dev/null && [ "$last_epoch" -gt 0 ] 2>/dev/null; then
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percent=$(echo "scale=1; $last_epoch * 100 / $total_epochs" | bc 2>/dev/null || echo "0")
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fi
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echo "${last_epoch}/${total_epochs}|${percent}|${last_loss}"
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;;
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"DQN"|"PPO")
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# Look for trial completion patterns like "Trial 23 completed"
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local trials=0
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if [ -f "$log_file" ]; then
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trials=$(grep -c "Trial .* completed" "$log_file" 2>/dev/null | tr -d '\n' || echo "0")
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fi
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[ -z "$trials" ] && trials=0
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[ "$trials" == "" ] && trials=0
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local total_trials=$(echo "${TRAINING_PROCESSES[$model_name]}" | cut -d':' -f2 | tr -d '\n')
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[ -z "$total_trials" ] && total_trials=50
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# Calculate percentage - use awk for safer arithmetic
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local percent="0"
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if [ "$total_trials" -gt 0 ] 2>/dev/null && [ "$trials" -ge 0 ] 2>/dev/null; then
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percent=$(awk "BEGIN {printf \"%.1f\", ($trials * 100.0 / $total_trials)}" 2>/dev/null || echo "0")
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fi
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# Get last trial's best value
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local best_value="N/A"
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if [ -f "$log_file" ]; then
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best_value=$(grep -oP "Best value: \K[\d\.]+" "$log_file" 2>/dev/null | tail -1 | tr -d '\n' || echo "N/A")
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fi
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[ -z "$best_value" ] && best_value="N/A"
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echo "${trials}/${total_trials}|${percent}|${best_value}"
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;;
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esac
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}
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# Function to estimate time remaining
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estimate_time_remaining() {
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local pid=$1
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local current_epoch=$2
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local total_epochs=$3
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if [ "$total_epochs" -le "$current_epoch" ] || [ "$current_epoch" -eq 0 ]; then
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echo "N/A"
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return
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fi
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# Get process elapsed time in seconds
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local elapsed_seconds=$(ps -p "$pid" -o etimes= 2>/dev/null | xargs || echo "0")
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if [ "$elapsed_seconds" -eq 0 ] || [ "$current_epoch" -eq 0 ]; then
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echo "N/A"
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return
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fi
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# Calculate time per epoch
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local seconds_per_epoch=$((elapsed_seconds / current_epoch))
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# Calculate remaining epochs
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local remaining_epochs=$((total_epochs - current_epoch))
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# Calculate remaining time
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local remaining_seconds=$((seconds_per_epoch * remaining_epochs))
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# Format as HH:MM:SS
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local hours=$((remaining_seconds / 3600))
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local minutes=$(((remaining_seconds % 3600) / 60))
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local seconds=$((remaining_seconds % 60))
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printf "%02d:%02d:%02d" "$hours" "$minutes" "$seconds"
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}
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# Function to get process runtime
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get_runtime() {
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local pid=$1
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if ps -p "$pid" > /dev/null 2>&1; then
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ps -p "$pid" -o etime= | xargs
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else
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echo "N/A"
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fi
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}
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# Function to check for OOM or crashes
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check_for_errors() {
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local log_file=$1
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local model_name=$2
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if [ ! -f "$log_file" ]; then
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return
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fi
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# Check for recent errors (last 100 lines)
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local errors=$(tail -100 "$log_file" 2>/dev/null | grep -iE "error|panic|killed|out of memory|oom|cuda error|segmentation fault" || true)
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if [ -n "$errors" ]; then
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log_alert "ERROR" "$model_name" "Errors detected in log file"
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echo -e "${RED}⚠️ ERRORS DETECTED${NC}"
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return 1
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fi
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return 0
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}
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# Function to display model status
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display_model_status() {
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local model_name=$1
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local config="${TRAINING_PROCESSES[$model_name]}"
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local log_file=$(echo "$config" | cut -d':' -f1)
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local expected_epochs=$(echo "$config" | cut -d':' -f2)
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local pid_file=$(echo "$config" | cut -d':' -f3)
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# Resolve full log path
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if [[ ! "$log_file" =~ ^/ ]]; then
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log_file="${LOG_DIR}/${log_file}"
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fi
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# Get process status
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local status=$(get_process_status "$pid_file")
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local status_type=$(echo "$status" | cut -d':' -f1)
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local pid=$(echo "$status" | cut -d':' -f2 2>/dev/null || echo "")
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# Get epoch progress
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local progress=$(get_epoch_progress "$log_file" "$model_name")
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local epochs=$(echo "$progress" | cut -d'|' -f1)
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local percent=$(echo "$progress" | cut -d'|' -f2)
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local metric=$(echo "$progress" | cut -d'|' -f3)
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local current_epoch=$(echo "$epochs" | cut -d'/' -f1)
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local total_epochs=$(echo "$epochs" | cut -d'/' -f2)
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# Color code status
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local status_color=$YELLOW
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local status_icon="⏸️ "
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case "$status_type" in
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"RUNNING")
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status_color=$GREEN
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status_icon="🟢"
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;;
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"STOPPED")
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status_color=$RED
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status_icon="🔴"
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;;
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"NOT_STARTED")
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status_color=$YELLOW
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status_icon="⚪"
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;;
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esac
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# Display header
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echo -e "${CYAN}━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━${NC}"
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echo -e "${MAGENTA}${model_name}${NC} ${status_icon} ${status_color}${status_type}${NC}"
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# Display PID and runtime
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if [ -n "$pid" ]; then
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local runtime=$(get_runtime "$pid")
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echo -e " PID: ${pid} | Runtime: ${runtime}"
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# Get process memory usage
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local mem_mb=$(ps -p "$pid" -o rss= 2>/dev/null | awk '{printf "%.1f", $1/1024}' || echo "0")
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echo -e " Memory: ${mem_mb}MB"
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fi
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# Display progress
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echo -e " Progress: ${epochs} (${percent}%)"
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# Display progress bar
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local bar_length=40
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# Handle decimal percentage
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local percent_int=$(echo "$percent" | cut -d'.' -f1)
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[ -z "$percent_int" ] && percent_int=0
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local filled=$((percent_int * bar_length / 100))
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local empty=$((bar_length - filled))
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local bar_color=$GREEN
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if [ "$percent_int" -lt 30 ] 2>/dev/null; then
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bar_color=$YELLOW
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fi
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if [ "$percent_int" -lt 10 ] 2>/dev/null; then
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bar_color=$RED
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fi
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printf " ["
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printf "${bar_color}%${filled}s${NC}" | tr ' ' '█'
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printf "%${empty}s" | tr ' ' '░'
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printf "]\n"
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# Display metric
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if [ "$metric" != "N/A" ]; then
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if [[ "$model_name" == "DQN" || "$model_name" == "PPO" ]]; then
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echo -e " Best Value: ${metric}"
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else
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echo -e " Last Loss: ${metric}"
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fi
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fi
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# Display time remaining estimate
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if [ "$status_type" == "RUNNING" ] && [ -n "$pid" ]; then
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local time_remaining=$(estimate_time_remaining "$pid" "$current_epoch" "$total_epochs")
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if [ "$time_remaining" != "N/A" ]; then
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echo -e " ETA: ${time_remaining}"
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fi
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fi
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# Check for errors
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check_for_errors "$log_file" "$model_name" || true
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# Display log file location
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echo -e " Log: ${log_file}"
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echo ""
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}
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# Function to display summary statistics
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display_summary() {
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local running=0
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local stopped=0
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local not_started=0
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local total=0
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local total_progress=0
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for model_name in "${!TRAINING_PROCESSES[@]}"; do
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local config="${TRAINING_PROCESSES[$model_name]}"
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local pid_file=$(echo "$config" | cut -d':' -f3)
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local status=$(get_process_status "$pid_file")
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local status_type=$(echo "$status" | cut -d':' -f1)
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case "$status_type" in
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"RUNNING") ((running++)) ;;
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"STOPPED") ((stopped++)) ;;
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"NOT_STARTED") ((not_started++)) ;;
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esac
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# Get progress for running processes
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if [ "$status_type" == "RUNNING" ]; then
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local log_file=$(echo "$config" | cut -d':' -f1)
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if [[ ! "$log_file" =~ ^/ ]]; then
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log_file="${LOG_DIR}/${log_file}"
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fi
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local progress=$(get_epoch_progress "$log_file" "$model_name")
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local percent=$(echo "$progress" | cut -d'|' -f2)
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total_progress=$(echo "scale=1; $total_progress + $percent" | bc)
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fi
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((total++))
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done
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# Calculate average progress
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local avg_progress=0
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if [ "$running" -gt 0 ]; then
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avg_progress=$(echo "scale=1; $total_progress / $running" | bc)
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fi
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echo -e "${CYAN}━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━${NC}"
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echo -e "${BLUE}SUMMARY${NC}"
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echo -e " Total Models: ${total}"
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echo -e " ${GREEN}Running: ${running}${NC} | ${RED}Stopped: ${stopped}${NC} | ${YELLOW}Not Started: ${not_started}${NC}"
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if [ "$running" -gt 0 ]; then
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echo -e " Average Progress: ${avg_progress}%"
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fi
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echo ""
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}
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# Function to display consolidated log viewer commands
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display_log_commands() {
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echo -e "${CYAN}━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━${NC}"
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echo -e "${BLUE}LOG VIEWER COMMANDS${NC}"
|
|
echo ""
|
|
|
|
for model_name in "${!TRAINING_PROCESSES[@]}"; do
|
|
local config="${TRAINING_PROCESSES[$model_name]}"
|
|
local log_file=$(echo "$config" | cut -d':' -f1)
|
|
|
|
if [[ ! "$log_file" =~ ^/ ]]; then
|
|
log_file="${LOG_DIR}/${log_file}"
|
|
fi
|
|
|
|
echo -e " ${MAGENTA}${model_name}${NC}: tail -f ${log_file}"
|
|
done
|
|
|
|
echo ""
|
|
echo -e " ${MAGENTA}All Alerts${NC}: tail -f ${ALERT_LOG}"
|
|
echo ""
|
|
}
|
|
|
|
# Function to check system resources
|
|
check_system_resources() {
|
|
# Check memory
|
|
local mem_percent=$(free | grep Mem | awk '{printf "%.0f", $3*100/$2}')
|
|
local mem_color=$GREEN
|
|
if [ "$mem_percent" -gt 70 ] 2>/dev/null; then
|
|
mem_color=$YELLOW
|
|
fi
|
|
if [ "$mem_percent" -gt 90 ] 2>/dev/null; then
|
|
mem_color=$RED
|
|
fi
|
|
|
|
# Check disk
|
|
local disk_percent=$(df -h / | tail -1 | awk '{print $5}' | tr -d '%')
|
|
local disk_color=$GREEN
|
|
if [ "$disk_percent" -gt 70 ] 2>/dev/null; then
|
|
disk_color=$YELLOW
|
|
fi
|
|
if [ "$disk_percent" -gt 85 ] 2>/dev/null; then
|
|
disk_color=$RED
|
|
fi
|
|
|
|
echo -e "${CYAN}━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━${NC}"
|
|
echo -e "${BLUE}SYSTEM RESOURCES${NC}"
|
|
echo -e " Memory: ${mem_color}${mem_percent}%${NC}"
|
|
echo -e " Disk: ${disk_color}${disk_percent}%${NC}"
|
|
|
|
# Get GPU metrics
|
|
local gpu_metrics=$(get_gpu_metrics)
|
|
echo -e " $(format_gpu_metrics "$gpu_metrics")"
|
|
|
|
# Alert if resources critical
|
|
if [ "$mem_percent" -gt 90 ]; then
|
|
log_alert "CRITICAL" "SYSTEM" "Memory usage critical: ${mem_percent}%"
|
|
echo -e " ${RED}⚠️ CRITICAL: Memory usage >90%${NC}"
|
|
fi
|
|
|
|
if [ "$disk_percent" -gt 85 ]; then
|
|
log_alert "WARNING" "SYSTEM" "Disk usage high: ${disk_percent}%"
|
|
echo -e " ${YELLOW}⚠️ WARNING: Disk usage >85%${NC}"
|
|
fi
|
|
|
|
echo ""
|
|
}
|
|
|
|
# Main monitoring loop
|
|
monitor_training() {
|
|
echo -e "${GREEN}Starting unified training monitoring dashboard...${NC}"
|
|
echo -e "${GREEN}Press Ctrl+C to stop${NC}"
|
|
echo ""
|
|
|
|
# Initialize alert log
|
|
touch "$ALERT_LOG"
|
|
|
|
while true; do
|
|
# Clear screen
|
|
clear
|
|
|
|
# Display header
|
|
echo -e "${CYAN}╔════════════════════════════════════════════════════════╗${NC}"
|
|
echo -e "${CYAN}║ ${MAGENTA}UNIFIED TRAINING MONITORING DASHBOARD${CYAN} ║${NC}"
|
|
echo -e "${CYAN}╚════════════════════════════════════════════════════════╝${NC}"
|
|
echo -e "${BLUE}Updated: $(date '+%Y-%m-%d %H:%M:%S')${NC}"
|
|
echo ""
|
|
|
|
# Check system resources
|
|
check_system_resources
|
|
|
|
# Display each model status
|
|
for model_name in TFT MAMBA2 Liquid DQN PPO; do
|
|
if [ -n "${TRAINING_PROCESSES[$model_name]}" ]; then
|
|
display_model_status "$model_name"
|
|
fi
|
|
done
|
|
|
|
# Display summary
|
|
display_summary
|
|
|
|
# Display log commands
|
|
display_log_commands
|
|
|
|
# Display footer
|
|
echo -e "${CYAN}━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━${NC}"
|
|
echo -e "${BLUE}CONTROLS${NC}"
|
|
echo -e " Refresh interval: ${REFRESH_INTERVAL}s"
|
|
echo -e " Press Ctrl+C to exit"
|
|
echo -e " Alert log: ${ALERT_LOG}"
|
|
echo -e "${CYAN}━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━${NC}"
|
|
|
|
# Save status to file
|
|
{
|
|
echo "TRAINING_DASHBOARD_STATUS"
|
|
echo "Updated: $(date '+%Y-%m-%d %H:%M:%S')"
|
|
echo ""
|
|
for model_name in "${!TRAINING_PROCESSES[@]}"; do
|
|
local config="${TRAINING_PROCESSES[$model_name]}"
|
|
local pid_file=$(echo "$config" | cut -d':' -f3)
|
|
local status=$(get_process_status "$pid_file")
|
|
echo "$model_name: $status"
|
|
done
|
|
} > "$STATUS_FILE"
|
|
|
|
# Wait for next refresh
|
|
sleep "$REFRESH_INTERVAL"
|
|
done
|
|
}
|
|
|
|
# Function to display one-time status
|
|
display_status() {
|
|
clear
|
|
|
|
# Display header
|
|
echo -e "${CYAN}╔════════════════════════════════════════════════════════╗${NC}"
|
|
echo -e "${CYAN}║ ${MAGENTA}TRAINING STATUS SNAPSHOT${CYAN} ║${NC}"
|
|
echo -e "${CYAN}╚════════════════════════════════════════════════════════╝${NC}"
|
|
echo -e "${BLUE}Generated: $(date '+%Y-%m-%d %H:%M:%S')${NC}"
|
|
echo ""
|
|
|
|
# Check system resources
|
|
check_system_resources
|
|
|
|
# Display each model status
|
|
for model_name in TFT MAMBA2 Liquid DQN PPO; do
|
|
if [ -n "${TRAINING_PROCESSES[$model_name]}" ]; then
|
|
display_model_status "$model_name"
|
|
fi
|
|
done
|
|
|
|
# Display summary
|
|
display_summary
|
|
|
|
# Display recent alerts
|
|
if [ -f "$ALERT_LOG" ]; then
|
|
echo -e "${CYAN}━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━${NC}"
|
|
echo -e "${BLUE}RECENT ALERTS (Last 10)${NC}"
|
|
tail -10 "$ALERT_LOG" 2>/dev/null || echo "No alerts"
|
|
echo ""
|
|
fi
|
|
|
|
echo -e "${CYAN}━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━${NC}"
|
|
}
|
|
|
|
# Main command handler
|
|
case "${1:-monitor}" in
|
|
monitor)
|
|
monitor_training
|
|
;;
|
|
status)
|
|
display_status
|
|
;;
|
|
alerts)
|
|
if [ -f "$ALERT_LOG" ]; then
|
|
cat "$ALERT_LOG"
|
|
else
|
|
echo "No alerts logged yet"
|
|
fi
|
|
;;
|
|
clear-alerts)
|
|
> "$ALERT_LOG"
|
|
echo "Alert log cleared"
|
|
;;
|
|
*)
|
|
echo "Usage: $0 {monitor|status|alerts|clear-alerts}"
|
|
echo ""
|
|
echo "Commands:"
|
|
echo " monitor - Start continuous monitoring dashboard (default)"
|
|
echo " status - Show one-time status snapshot"
|
|
echo " alerts - Display all logged alerts"
|
|
echo " clear-alerts - Clear alert log"
|
|
echo ""
|
|
echo "Examples:"
|
|
echo " $0 monitor # Start live dashboard"
|
|
echo " $0 status # Quick status check"
|
|
echo " watch -n 30 $0 status # Auto-refresh status every 30s"
|
|
exit 1
|
|
;;
|
|
esac
|