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awodij

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cephi_sui 2024-12-09 15:07:23 -05:00
parent d4ef9f4346
commit 83cbccbd62
1 changed files with 56 additions and 41 deletions
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97
pytorch/analyze.py
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@ -40,7 +40,8 @@ def box_plot(ax, data_list: list[dict[str, str | int | float]], x: Stat, y: Stat
def line_plot(
ax, data_list: list[dict[str, str | int | float]],
x: Stat, y: Stat, color: Stat
x: Stat, y: Stat, color: Stat,
font_size: int
):
x_data: dict[str, np.ndarray] = accumulate(data_list, color, x)
y_data: dict[str, np.ndarray] = accumulate(data_list, color, y)
@ -53,7 +54,7 @@ def line_plot(
#print("Plotted x data: " + str(x_data[category]))
#print("Plotted y data: " + str(y_data[category]))
ax.set_ylabel(y.value)
ax.set_ylabel(y.value, fontsize=font_size)
ax.grid(True)
def visualize(
@ -63,7 +64,7 @@ def visualize(
size_multiplier: int,
font_size: int,
x: Stat,
y: Stat,
ys: list[Stat],
color: Stat,
filter_list: list[str] = []
):
@ -76,7 +77,7 @@ def visualize(
#y = Stat.DTLB_MISS_RATE
#color = Stat.SOLVER
if y is None:
if ys is None:
#ys = [stat for stat in Stat if stat.name in data_list[0].keys()]
#ys = [stat for stat in data_list[0].keys() if "power" not in stat]
#and stat is not x
@ -85,51 +86,64 @@ def visualize(
#and stat.value not in filter_list]
# Create sorted, deduped list of all stats in data_list.
ys = [Stat[stat_name] for stat_name in sorted(list(set([stat_name for data in data_list for stat_name in data if type(data[stat_name]) is not list])))]
print([stat.value for stat in ys])
fig, axes = plt.subplots(rows, int(math.ceil(len(ys) / rows)),
figsize = (16 * size_multiplier, 9 * size_multiplier))
match plot:
case Plot.BOX:
for i, y in enumerate(ys):
box_plot(axes[i % rows][int(i / rows)], data_list, x, y)
case Plot.LINE:
for i, y in enumerate(ys):
line_plot(axes[i % rows][int(i / rows)], data_list, x, y, color)
print([stat.name for stat in ys])
print(len(ys))
print(rows)
print(int(math.ceil(len(ys) / rows)))
fig, axes = plt.subplots(rows, int(math.ceil(len(ys) / rows)),
figsize = (16 * size_multiplier, 9 * size_multiplier))
handles, labels = axes[i % rows][int(i / rows)].get_legend_handles_labels()
else:
fig, ax = plt.subplots()
match plot:
case Plot.BOX:
for i, y in enumerate(ys):
box_plot(axes[i % rows][int(i / rows)], data_list, x, y)
case Plot.LINE:
for i, y in enumerate(ys):
ax = axes[i % rows][int(i / rows)]
line_plot(ax, data_list, x, y, color, font_size)
ax.get_xaxis().get_major_formatter().set_scientific(False)
ax.get_yaxis().get_major_formatter().set_scientific(False)
match plot:
case Plot.BOX:
box_plot(ax, data_list, x, y)
case Plot.LINE:
line_plot(ax, data_list, x, y, color)
handles, labels = ax.get_legend_handles_labels()
handles, labels = axes[i % rows][int(i / rows)].get_legend_handles_labels()
# else:
# fig, ax = plt.subplots()
#
# match plot:
# case Plot.BOX:
# box_plot(ax, data_list, x, y)
# case Plot.LINE:
# line_plot(ax, data_list, x, y, color)
#
# handles, labels = ax.get_legend_handles_labels()
#box_plot(ax, stats, x, y)
#line_plot(ax, stats, x, y, color)
match plot:
case Plot.BOX:
title = f"{plot.value}_plot_of_{y.value.replace(' ', '_')}_vs_{x.value.replace(' ', '_')}_excluding_{filter_list}"
case Plot.LINE:
#title = f"{plot.value}_plot_of_{y.replace(' ', '_')}_vs_{x.replace(' ', '_')}_by_{color.replace(' ', '_')}_excluding_{filter_list}"
title = "altra_spmv"
fig.suptitle(title, fontsize = font_size)
# match plot:
# case Plot.BOX:
# title = f"{plot.value}_plot_of_{y.value.replace(' ', '_')}_vs_{x.value.replace(' ', '_')}_excluding_{filter_list}"
# case Plot.LINE:
# #title = f"{plot.value}_plot_of_{y.replace(' ', '_')}_vs_{x.replace(' ', '_')}_by_{color.replace(' ', '_')}_excluding_{filter_list}"
# title = "altra_spmv"
title = f'{plot.value} plot of {[y.value for y in ys]} vs {x.value} by {color.value} excluding {filter_list}'
#fig.suptitle(title, fontsize = font_size)
fig.legend(handles, labels, fontsize = font_size)
fig.supxlabel(x.value, fontsize = font_size)
plt.savefig(title + ".png", dpi = 100)
#plt.xticks(fontsize=font_size)
#plt.yticks(fontsize=font_size)
plt.savefig(title.replace(' ', '_') + ".png", dpi = 100)
plt.show()
def main():
default_figure_size = 4
default_font_size = 5 * default_figure_size
parser = argparse.ArgumentParser()
parser.add_argument('input_dir',
help='the input directory')
parser.add_argument('-p', '--plot',
parser.add_argument('plot',
choices=[x.name.lower() for x in Plot],
help = 'the type of plot')
parser.add_argument('-r', '--rows', type=int,
@ -137,18 +151,18 @@ def main():
default = 5)
parser.add_argument('-s', '--size', type=int,
help = 'figure size multiplier',
default = 4)
default = default_figure_size)
parser.add_argument('-fs', '--font_size', type=int,
help = 'font size',
default = 40)
parser.add_argument('-x',
default = default_font_size)
parser.add_argument('x',
choices=[x.name.lower() for x in Stat],
help = 'the name of the x axis')
parser.add_argument('-y',
choices=[x.name.lower() for x in Stat],
parser.add_argument('-ys', nargs='+',
choices=[y.name.lower() for y in Stat],
help = 'the name of the y axis')
parser.add_argument('-c', '--color',
choices=[x.name.lower() for x in Stat],
choices=[c.name.lower() for c in Stat],
help = 'the name of the color')
parser.add_argument('-f', '--filter', nargs = '+',
help = 'a comma-separated string of names and values to filter out.',
@ -156,7 +170,8 @@ def main():
args = parser.parse_args()
args.plot = Plot[args.plot.upper()]
args.x = Stat[args.x.upper()] if args.x is not None else None
args.y = Stat[args.y.upper()] if args.y is not None else None
args.ys = ([Stat[y.upper()] for y in args.ys]
if args.ys is not None else None)
args.color = Stat[args.color.upper()] if args.color is not None else None
data_list: list[dict] = list()
@ -173,7 +188,7 @@ def main():
args.size,
args.font_size,
args.x,
args.y,
args.ys,
args.color,
args.filter
)