Major Features: • Advanced topological sorting algorithm with cycle detection and resolution • Intelligent pipeline optimization with parallelization analysis • Critical path analysis and performance metrics calculation • Comprehensive .mflow file converter for seamless UI-to-API integration • Complete modular UI framework with node-based pipeline editor • Enhanced model node properties (scpu_fw_path, ncpu_fw_path) • Professional output formatting without emoji decorations Technical Improvements: • Graph theory algorithms (DFS, BFS, topological sort) • Automatic dependency resolution and conflict prevention • Multi-criteria pipeline optimization • Real-time stage count calculation and validation • Comprehensive configuration validation and error handling • Modular architecture with clean separation of concerns New Components: • MFlow converter with topology analysis (core/functions/mflow_converter.py) • Complete node system with exact property matching • Pipeline editor with visual node connections • Performance estimation and dongle management panels • Comprehensive test suite and demonstration scripts 🤖 Generated with Claude Code (https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
25 lines
708 B
Python
25 lines
708 B
Python
"""
|
|
Main application windows for the Cluster4NPU UI.
|
|
|
|
This module contains the primary application windows including the startup
|
|
dashboard, main pipeline editor, and integrated development environment.
|
|
|
|
Available Windows:
|
|
- DashboardLogin: Startup window with project management
|
|
- IntegratedPipelineDashboard: Main pipeline design interface (future)
|
|
- PipelineEditor: Alternative pipeline editor window (future)
|
|
|
|
Usage:
|
|
from cluster4npu_ui.ui.windows import DashboardLogin
|
|
|
|
dashboard = DashboardLogin()
|
|
dashboard.show()
|
|
"""
|
|
|
|
from .login import DashboardLogin
|
|
from .dashboard import IntegratedPipelineDashboard
|
|
|
|
__all__ = [
|
|
"DashboardLogin",
|
|
"IntegratedPipelineDashboard"
|
|
] |