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