mirror of https://github.com/VLSIDA/OpenRAM.git
86 lines
3.1 KiB
Python
Executable File
86 lines
3.1 KiB
Python
Executable File
#!/usr/bin/env python3
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# See LICENSE for licensing information.
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#
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# Copyright (c) 2016-2021 Regents of the University of California and The Board
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# of Regents for the Oklahoma Agricultural and Mechanical College
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# (acting for and on behalf of Oklahoma State University)
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# All rights reserved.
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#
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import unittest
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from testutils import *
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import sys, os
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sys.path.append(os.getenv("OPENRAM_HOME"))
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import globals
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from globals import OPTS
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from sram_factory import factory
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import debug
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# @unittest.skip("SKIPPING 21_regression_model_test")
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class regression_model_test(openram_test):
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""" Compare the accuracy of the analytical model with a spice simulation. """
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def runTest(self):
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config_file = "{}/tests/configs/config".format(os.getenv("OPENRAM_HOME"))
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globals.init_openram(config_file)
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OPTS.analytical_delay = False
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OPTS.netlist_only = True
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# This is a hack to reload the characterizer __init__ with the spice version
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from importlib import reload
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import characterizer
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reload(characterizer)
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from characterizer import linear_regression
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from sram import sram
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from sram_config import sram_config
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c = sram_config(word_size=1,
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num_words=16,
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num_banks=1)
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c.words_per_row=1
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c.recompute_sizes()
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debug.info(1, "Testing timing for sample 1bit, 16words SRAM with 1 bank")
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s = factory.create(module_type="sram", sram_config=c)
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tempspice = OPTS.openram_temp + "temp.sp"
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s.sp_write(tempspice)
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probe_address = "1" * s.s.addr_size
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probe_data = s.s.word_size - 1
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debug.info(1, "Probe address {0} probe data bit {1}".format(probe_address, probe_data))
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corner = (OPTS.process_corners[0], OPTS.supply_voltages[0], OPTS.temperatures[0])
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m = linear_regression(s.s, tempspice, corner)
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m.cross_validation()
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# Only compare the delays
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# spice_delays = {key:value for key, value in spice_data.items() if 'delay' in key}
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# spice_delays['min_period'] = spice_data['min_period']
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# model_delays = {key:value for key, value in model_data.items() if 'delay' in key}
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# model_delays['min_period'] = model_data['min_period']
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# debug.info(1,"Spice Delays={}".format(spice_delays))
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# debug.info(1,"Model Delays={}".format(model_delays))
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# if OPTS.tech_name == "freepdk45":
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# error_tolerance = 0.25
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# elif OPTS.tech_name == "scn4m_subm":
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# error_tolerance = 0.25
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# else:
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# self.assertTrue(False) # other techs fail
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# print('spice_delays', spice_delays)
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# print('model_delays', model_delays)
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# # Check if no too many or too few results
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# self.assertTrue(len(spice_delays.keys())==len(model_delays.keys()))
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# self.assertTrue(self.check_golden_data(spice_delays,model_delays,error_tolerance))
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globals.end_openram()
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# run the test from the command line
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if __name__ == "__main__":
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(OPTS, args) = globals.parse_args()
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del sys.argv[1:]
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header(__file__, OPTS.tech_name)
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unittest.main(testRunner=debugTestRunner())
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