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# This file is part of the CLBlast project. The project is licensed under Apache Version 2.0. This file follows the
# PEP8 Python style guide and uses a max-width of 120 characters per line.
#
# Author(s):
# Cedric Nugteren <www.cedricnugteren.nl>
import utils
import matplotlib
matplotlib.use('Agg')
from matplotlib import rcParams
import matplotlib.pyplot as plt
import numpy as np
# Colors
BLUEISH = [c / 255.0 for c in [71, 101, 177]] # #4765b1
REDISH = [c / 255.0 for c in [214, 117, 104]] # #d67568
PURPLISH = [c / 255.0 for c in [85, 0, 119]] # #550077
GREEN = [c / 255.0 for c in [144, 224, 98]] # #90e062
COLORS = [BLUEISH, REDISH, PURPLISH, GREEN]
MARKERS = ["o-", "x-", ".-"]
def plot_graphs(results, file_name, num_rows, num_cols,
x_keys, y_keys, titles, x_labels, y_labels,
label_names, title, tight_plot, verbose):
assert len(results) == num_rows * num_cols
assert len(results) >= 1
assert len(x_keys) == len(results)
assert len(y_keys) == len(results)
assert len(titles) == len(results)
assert len(x_labels) == len(results)
assert len(y_labels) == len(results)
# Tight plot (for in a paper or presentation) or regular (for display on a screen)
if tight_plot:
plot_size = 5
w_space = 0.20
h_space = 0.39
title_from_top = 0.11
legend_from_top = 0.17
legend_from_top_per_item = 0.04
x_label_from_bottom = 0.09
legend_spacing = 0.0
font_size = 15
font_size_legend = 13
font_size_title = font_size
bounding_box = "tight"
else:
plot_size = 8
w_space = 0.15
h_space = 0.22
title_from_top = 0.09
legend_from_top = 0.10
legend_from_top_per_item = 0.07
x_label_from_bottom = 0.06
legend_spacing = 0.8
font_size = 15
font_size_legend = font_size
font_size_title = 18
bounding_box = None # means not 'tight'
# Initializes the plot
size_x = plot_size * num_cols
size_y = plot_size * num_rows
rcParams.update({'font.size': font_size})
fig, axes = plt.subplots(nrows=num_rows, ncols=num_cols, figsize=(size_x, size_y), facecolor='w', edgecolor='k')
if len(results) == 1 and not type(axes) is np.ndarray:
axes = np.full((1,1), axes)
assert type(axes) is np.ndarray
fig.text(.5, 0.92, title, horizontalalignment="center", fontsize=font_size_title)
plt.subplots_adjust(wspace=w_space, hspace=h_space)
# Loops over each subplot
for row in range(num_rows):
for col in range(num_cols):
index = row * num_cols + col
result = results[index]
ax = axes[row, col]
plt.sca(ax)
print("[plot] Plotting subplot %d" % index)
# Sets the x-axis labels
x_list = [[r[x_key] for r in result] for x_key in x_keys[index]]
x_ticks = [",".join([utils.float_to_kilo_mega(v) for v in values]) for values in zip(*x_list)]
x_location = range(len(x_ticks))
# Optional sparsifying of the labels on the x-axis
if tight_plot and len(x_location) > 10:
x_ticks = [v if not (i % 2) else "" for i, v in enumerate(x_ticks)]
# Sets the y-data
y_list = [[r[y_key] if y_key in r.keys() else 0 for r in result] for y_key in y_keys[index]]
y_max = [max(y) if len(y) else 1 for y in y_list]
y_max = max(y_max) if len(y_list) > 0 else 1
# Sets the axes
y_rounding = 10 if y_max < 80 else 50 if y_max < 400 else 200
y_axis_limit = (y_max * 1.2) - ((y_max * 1.2) % y_rounding) + y_rounding
plt.ylim(ymin=0, ymax=y_axis_limit)
plt.xticks(x_location, x_ticks, rotation='vertical')
# Sets the labels
ax.set_title(titles[index], y=1.0 - title_from_top, fontsize=font_size)
if col == 0 or y_labels[index] != y_labels[index - 1]:
ax.set_ylabel(y_labels[index])
ax.set_xlabel(x_labels[index])
ax.xaxis.set_label_coords(0.5, x_label_from_bottom)
# Plots the graph
assert len(COLORS) >= len(y_keys[index])
assert len(MARKERS) >= len(y_keys[index])
assert len(label_names) == len(y_keys[index])
for i in range(len(y_keys[index])):
color = COLORS[i]
marker = MARKERS[i]
if label_names[i] in ["CLBlast", "CLBlast FP32"]:
color = BLUEISH
marker = "o-"
elif label_names[i] in ["CLBlast FP16"]:
color = PURPLISH
marker = ".-"
elif label_names[i] in ["clBLAS", "clBLAS FP32", "clBLAS (non-batched)"]:
color = REDISH
marker = "x-"
elif label_names[i] in ["cuBLAS", "cuBLAS (non-batched)"]:
color = GREEN
marker = ".-"
ax.plot(x_location, y_list[i], marker, label=label_names[i], color=color)
# Sets the legend
leg = ax.legend(loc=(0.02, 1.0 - legend_from_top - legend_from_top_per_item * len(y_keys[index])),
handletextpad=0.1, labelspacing=legend_spacing, fontsize=font_size_legend)
leg.draw_frame(False)
# Saves the plot to disk
print("[benchmark] Saving plot to '" + file_name + "'")
fig.savefig(file_name, bbox_inches=bounding_box)
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