Create loading-plot.py
Browse files- loading-plot.py +66 -0
loading-plot.py
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import matplotlib.pyplot as plt
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import numpy as np
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# Set up the figure and axis
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fig, ax = plt.subplots(figsize=(12, 7))
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# Define categories and data
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categories = ['v4.57.6\ndevice_map=auto\nThreadpool',
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'v4.57.6\ndevice_map=auto\nNormal',
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'v4.57.6\nTP',
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'v5\ndevice_map=auto\nAsync',
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'v5\ndevice_map=auto\nSync',
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'v5\nTP\nAsync',
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'v5\nTP\nSync']
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times = [66.24, 67.29, np.nan, 20.71, 45.3, 10.1, 19.28]
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colors = ['#3498db', '#2980b9', '#e74c3c', '#2ecc71', '#27ae60', '#f39c12', '#e67e22']
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# Create bar positions
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x_pos = np.arange(len(categories))
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# Create bars
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bars = ax.bar(x_pos, times, color=colors, alpha=0.8, edgecolor='black', linewidth=1.2)
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# Add value labels on top of bars
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for i, (bar, time) in enumerate(zip(bars, times)):
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if np.isnan(time):
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# Mark OOM with text
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ax.text(bar.get_x() + bar.get_width()/2, 5, 'OOM',
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ha='center', va='bottom', fontsize=12, fontweight='bold', color='red')
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else:
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ax.text(bar.get_x() + bar.get_width()/2, time + 1.5, f'{time}s',
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ha='center', va='bottom', fontsize=10, fontweight='bold')
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# Customize the plot
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ax.set_xlabel('Configuration', fontsize=12, fontweight='bold')
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ax.set_ylabel('Loading Time (seconds)', fontsize=12, fontweight='bold')
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ax.set_title('Model Loading Benchmark: Qwen/Qwen1.5-110B-Chat\nGPU: 1x A100 (80 GB)',
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fontsize=14, fontweight='bold', pad=20)
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ax.set_xticks(x_pos)
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ax.set_xticklabels(categories, fontsize=9, ha='center')
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ax.set_ylim(0, max([t for t in times if not np.isnan(t)]) * 1.15)
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# Add grid for better readability
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ax.yaxis.grid(True, linestyle='--', alpha=0.3)
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ax.set_axisbelow(True)
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# Add a note about the versions
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# note_text = ('Transformers v4.57.6:\n'
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# ' • Threadpool: HF_ENABLE_PARALLEL_LOADING\n'
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# ' • Normal: no threadpool\n'
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# '\n'
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# 'Transformers v5:\n'
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# ' • Async: default behavior\n'
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# ' • Sync: HF_DEACTIVATE_ASYNC_LOAD')
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# ax.text(1.02, 0.5, note_text, transform=ax.transAxes,
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# fontsize=9, verticalalignment='center',
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# bbox=dict(boxstyle='round', facecolor='wheat', alpha=0.3))
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plt.tight_layout()
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plt.savefig('loading_benchmark.png', dpi=300, bbox_inches='tight')
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plt.show()
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print("Plot saved as 'loading_benchmark.png'")
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