05caa06242
Mostly a straight-forward conversion. Looks like we can simply drop the avocado datadrainer stuff when not using the avocado framework anymore. Reviewed-by: Philippe Mathieu-Daudé <philmd@linaro.org> Tested-by: Philippe Mathieu-Daudé <philmd@linaro.org> Message-ID: <20240830133841.142644-30-thuth@redhat.com> Signed-off-by: Thomas Huth <thuth@redhat.com>
108 lines
4.4 KiB
Plaintext
108 lines
4.4 KiB
Plaintext
# Copyright (c) 2015, Intel Corporation
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# All rights reserved.
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#
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# SPDX-License-Identifier: BSD-3-Clause
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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 met:
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#
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# * Redistributions of source code must retain the above copyright notice,
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# this list of conditions and the following disclaimer.
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# * Redistributions in binary form must reproduce the above copyright notice,
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# this list of conditions and the following disclaimer in the documentation
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# and/or other materials provided with the distribution.
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# * Neither the name of Intel Corporation nor the names of its contributors
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# may be used to endorse or promote products derived from this software
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# without specific prior written permission.
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#
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# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
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# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
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# ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
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# (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
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# ANY 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 OF THIS
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# SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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# This script runs only from the biosbits VM.
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"""SMI latency test."""
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import bits
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from collections import namedtuple
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import testsuite
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import time
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import usb
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def register_tests():
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pass
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# testsuite.add_test("SMI latency test", smi_latency);
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# testsuite.add_test("SMI latency test with USB disabled via BIOS handoff", test_with_usb_disabled, runall=False);
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def smi_latency():
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MSR_SMI_COUNT = 0x34
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print "Warning: touching the keyboard can affect the results of this test."
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tsc_per_sec = bits.tsc_per_sec()
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tsc_per_usec = tsc_per_sec / (1000 * 1000)
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bins = [long(tsc_per_usec * 10**i) for i in range(9)]
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bin_descs = [
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"0 < t <= 1us",
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"1us < t <= 10us",
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"10us < t <= 100us",
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"100us < t <= 1ms",
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"1ms < t <= 10ms",
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"10ms < t <= 100ms",
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"100ms < t <= 1s ",
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"1s < t <= 10s ",
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"10s < t <= 100s ",
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"100s < t ",
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]
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print "Starting test. Wait here, I will be back in 15 seconds."
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(max_latency, smi_count_delta, bins) = bits.smi_latency(long(15 * tsc_per_sec), bins)
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BinType = namedtuple('BinType', ("max", "total", "count", "times"))
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bins = [BinType(*b) for b in bins]
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testsuite.test("SMI latency < 150us to minimize risk of OS timeouts", max_latency / tsc_per_usec <= 150)
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if not testsuite.show_detail():
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return
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for bin, desc in zip(bins, bin_descs):
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if bin.count == 0:
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continue
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testsuite.print_detail("{}; average = {}; count = {}".format(desc, bits.format_tsc(bin.total/bin.count), bin.count))
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deltas = (bits.format_tsc(t2 - t1) for t1,t2 in zip(bin.times, bin.times[1:]))
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testsuite.print_detail(" Times between first few observations: {}".format(" ".join("{:>6}".format(delta) for delta in deltas)))
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if smi_count_delta is not None:
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testsuite.print_detail("{} SMI detected using MSR_SMI_COUNT (MSR {:#x})".format(smi_count_delta, MSR_SMI_COUNT))
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testsuite.print_detail("Summary of impact: observed maximum latency = {}".format(bits.format_tsc(max_latency)))
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def test_with_usb_disabled():
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if usb.handoff_to_os():
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smi_latency()
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def average_io_smi(port, value, count):
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def f():
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tsc_start = bits.rdtsc()
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bits.outb(port, value)
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return bits.rdtsc() - tsc_start
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counts = [f() for i in range(count)]
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return sum(counts)/len(counts)
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def time_io_smi(port=0xb2, value=0, count=1000):
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count_for_estimate = 10
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start = time.time()
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average_io_smi(port, value, count_for_estimate)
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avg10 = time.time() - start
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estimate = avg10 * count/count_for_estimate
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if estimate > 1:
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print "Running test, estimated time: {}s".format(int(estimate))
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average = average_io_smi(port, value, count)
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print "Average of {} SMIs (via outb, port={:#x}, value={:#x}): {}".format(count, port, value, bits.format_tsc(average))
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