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__init__.py
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#!/usr/bin/env python3
"""Visualization functions for InfiniMetrics dashboard.
This package provides visualization utilities organized by test type:
- base: Common/legacy visualization functions
- hardware: Hardware test visualizations (memory sweep, cache bandwidth)
- communication: Communication test visualizations
- inference: Inference test visualizations
- operator: Operator test visualizations
- training: Training test visualizations
- summary_tables: Summary tables for different test types
"""
# Base functions (common)
from .base import (
create_gauge_chart,
plot_timeseries_auto,
)
# Communication functions
from .communication import (
plot_metric_vs_size,
plot_comparison_matrix,
)
# Inference functions
from .inference import (
render_inference_metrics,
render_memory_gauge,
)
# Summary tables
from .summary_tables import (
create_summary_table_comm,
create_summary_table_infer,
create_summary_table_ops,
)
# Hardware functions
from .hardware import (
create_summary_table_hw,
plot_hw_mem_sweep,
plot_hw_cache,
)
# Operator functions
from .operator import (
extract_operator_metrics,
render_operator_performance_charts,
)
# Training functions
from .training import (
render_performance_curves,
render_throughput_comparison,
render_data_tables,
render_config_details,
)
__all__ = [
# Base
"create_gauge_chart",
"plot_timeseries_auto",
# Communication
"plot_metric_vs_size",
"plot_comparison_matrix",
# Inference
"render_inference_metrics",
"render_memory_gauge",
# Summary tables
"create_summary_table_comm",
"create_summary_table_infer",
"create_summary_table_ops",
# Hardware
"create_summary_table_hw",
"plot_hw_mem_sweep",
"plot_hw_cache",
# Operator
"extract_operator_metrics",
"render_operator_performance_charts",
# Training
"render_performance_curves",
"render_throughput_comparison",
"render_data_tables",
"render_config_details",
]