c10feed524
This commit changes metric units (e.g. kB, MB, and GB) to binary units (KiB, MiB, GiB) in various files. This PR covers files that were missed by a previous PR that also made these changes.
153 lines
5.0 KiB
Python
Executable File
153 lines
5.0 KiB
Python
Executable File
#!/usr/bin/env python3
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# Copyright (c) 2015 ARM Limited
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# All rights reserved
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#
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# The license below extends only to copyright in the software and shall
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# not be construed as granting a license to any other intellectual
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# property including but not limited to intellectual property relating
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# to a hardware implementation of the functionality of the software
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# licensed hereunder. You may use the software subject to the license
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# terms below provided that you ensure that this notice is replicated
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# unmodified and in its entirety in all distributions of the software,
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# modified or unmodified, in source code or in binary form.
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#
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# Redistribution and use in source and binary forms, with or without
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# modification, are permitted provided that the following conditions are
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# met: redistributions of source code must retain the above copyright
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# notice, this list of conditions and the following disclaimer;
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# redistributions in binary form must reproduce the above copyright
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# notice, this list of conditions and the following disclaimer in the
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# documentation and/or other materials provided with the distribution;
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# neither the name of the copyright holders nor the names of its
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# contributors may be used to endorse or promote products derived from
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# this software without specific prior written permission.
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#
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# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
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# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
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# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
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# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
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# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
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# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
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# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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try:
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import matplotlib as mpl
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import matplotlib.pyplot as plt
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import numpy as np
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except ImportError:
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print("Failed to import matplotlib and numpy")
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exit(-1)
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import re
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import sys
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# This script is intended to post process and plot the output from
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# running configs/dram/lat_mem_rd.py, as such it parses the simout.txt and
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# stats.txt to get the relevant data points.
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def main():
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if len(sys.argv) != 2:
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print("Usage: ", sys.argv[0], "<simout directory>")
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exit(-1)
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try:
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stats = open(sys.argv[1] + "/stats.txt")
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except OSError:
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print("Failed to open ", sys.argv[1] + "/stats.txt", " for reading")
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exit(-1)
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try:
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simout = open(sys.argv[1] + "/simout.txt")
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except OSError:
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print("Failed to open ", sys.argv[1] + "/simout.txt", " for reading")
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exit(-1)
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# Get the address ranges
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got_ranges = False
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ranges = []
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iterations = 1
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for line in simout:
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if got_ranges:
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ranges.append(int(line) / 1024)
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match = re.match(r"lat_mem_rd with (\d+) iterations, ranges:.*", line)
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if match:
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got_ranges = True
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iterations = int(match.groups(0)[0])
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simout.close()
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if not got_ranges:
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print("Failed to get address ranges, ensure simout.txt is up-to-date")
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exit(-1)
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# Now parse the stats
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raw_rd_lat = []
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for line in stats:
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match = re.match(r".*readLatencyHist::mean\s+(.+)\s+#.*", line)
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if match:
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raw_rd_lat.append(float(match.groups(0)[0]) / 1000)
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stats.close()
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# The stats also contain the warming, so filter the latency stats
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i = 0
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filtered_rd_lat = []
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for l in raw_rd_lat:
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if i % (iterations + 1) == 0:
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pass
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else:
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filtered_rd_lat.append(l)
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i = i + 1
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# Next we need to take care of the iterations
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rd_lat = []
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for i in range(iterations):
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rd_lat.append(filtered_rd_lat[i::iterations])
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final_rd_lat = [min(p) for p in zip(*rd_lat)]
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# Sanity check
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if not (len(ranges) == len(final_rd_lat)):
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print(
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"Address ranges (%d) and read latency (%d) do not match"
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% (len(ranges), len(final_rd_lat))
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)
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exit(-1)
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for r, l in zip(ranges, final_rd_lat):
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print(r, round(l, 2))
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# lazy version to check if an integer is a power of two
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def is_pow2(num):
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return num != 0 and ((num & (num - 1)) == 0)
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plt.semilogx(ranges, final_rd_lat)
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# create human readable labels
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xticks_locations = [r for r in ranges if is_pow2(r)]
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xticks_labels = []
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for x in xticks_locations:
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if x < 1024:
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xticks_labels.append("%d KiB" % x)
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else:
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xticks_labels.append("%d MiB" % (x / 1024))
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plt.xticks(xticks_locations, xticks_labels, rotation=-45)
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plt.minorticks_off()
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plt.xlim((xticks_locations[0], xticks_locations[-1]))
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plt.ylabel("Latency (ns)")
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plt.grid(True)
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plt.show()
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if __name__ == "__main__":
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main()
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