Added analysis features for PyTorch
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@ -11,6 +11,7 @@ from enum import Enum
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import math
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import numpy as np
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import matplotlib
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import matplotlib.pyplot as plt
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import itertools
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@ -43,6 +44,9 @@ def line_plot(
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x: Stat, y: Stat, color: Stat,
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font_size: int
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):
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print(x)
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print(y)
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print(color)
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x_data: dict[str, np.ndarray] = accumulate(data_list, color, x)
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y_data: dict[str, np.ndarray] = accumulate(data_list, color, y)
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@ -66,7 +70,8 @@ def visualize(
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x: Stat,
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ys: list[Stat],
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color: Stat,
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filter_list: list[str] = []
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filter_list: list[str],
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title: str
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):
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# Remove stats entries containing undesired values (like a specific CPU).
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# data_list = [stats for stats in data_list
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@ -102,8 +107,11 @@ def visualize(
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for i, y in enumerate(ys):
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ax = axes[i % rows][int(i / rows)]
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line_plot(ax, data_list, x, y, color, font_size)
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ax.get_xaxis().get_major_formatter().set_scientific(False)
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ax.get_yaxis().get_major_formatter().set_scientific(False)
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if type(ax.get_xaxis().get_major_formatter()) is matplotlib.ticker.ScalarFormatter:
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ax.get_xaxis().get_major_formatter().set_scientific(False)
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if type(ax.get_yaxis().get_major_formatter()) is matplotlib.ticker.ScalarFormatter:
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ax.get_yaxis().get_major_formatter().set_scientific(False)
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#ax.ticklabel_format(axis='both', style='plain')
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handles, labels = axes[i % rows][int(i / rows)].get_legend_handles_labels()
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# else:
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@ -126,11 +134,12 @@ def visualize(
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# case Plot.LINE:
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# #title = f"{plot.value}_plot_of_{y.replace(' ', '_')}_vs_{x.replace(' ', '_')}_by_{color.replace(' ', '_')}_excluding_{filter_list}"
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# title = "altra_spmv"
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title = f'{plot.value} plot of {[y.value for y in ys]} vs {x.value} by {color.value} excluding {filter_list}'
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#title = f'{plot.value} plot of {[y.value for y in ys]} vs {x.value} by {color.value} excluding {filter_list}'
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#fig.suptitle(title, fontsize = font_size)
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fig.legend(handles, labels, fontsize = font_size)
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fig.supxlabel(x.value, fontsize = font_size)
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#title = f'{plot.value} plot of {[y.name for y in ys]} vs {x.name} by {color.name} excluding {filter_list}'
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#plt.xticks(fontsize=font_size)
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#plt.yticks(fontsize=font_size)
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plt.savefig(title.replace(' ', '_') + ".png", dpi = 100)
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@ -146,6 +155,8 @@ def main():
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parser.add_argument('plot',
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choices=[x.name.lower() for x in Plot],
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help = 'the type of plot')
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parser.add_argument('title', type=str,
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help = 'the name of the plot')
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parser.add_argument('-r', '--rows', type=int,
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help = 'the number of rows to display when -y is not specified',
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default = 5)
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@ -191,7 +202,8 @@ def main():
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args.x,
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args.ys,
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args.color,
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args.filter
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args.filter,
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args.title
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)
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if __name__ == '__main__':
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