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Moved main scripts to root dir

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Bugra Onal
2023-02-21 13:51:13 -08:00
parent 3496ac8f5a
commit bce71af0ad
2 changed files with 4 additions and 4 deletions
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compiler/sram_char.py
-89
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@@ -1,89 +0,0 @@
#!/usr/bin/env python3
# See LICENSE for licensing information.
#
# Copyright (c) 2016-2021 Regents of the University of California and The Board
# of Regents for the Oklahoma Agricultural and Mechanical College
# (acting for and on behalf of Oklahoma State University)
# All rights reserved.
#
"""
This script will characterize an SRAM previously generated by OpenRAM given a
configuration file. Configuration option "use_pex" determines whether extracted
or generated spice is used and option "analytical_delay" determines whether
an analytical model or spice simulation is used for characterization.
"""
import sys
import datetime
from globals import *
try:
import openram
except:
# If openram library isn't found as a python package,
# import it from the $OPENRAM_HOME path.
import importlib.util
OPENRAM_HOME = os.getenv("OPENRAM_HOME")
# Import using spec since the directory can be named something
# other than "openram".
spec = importlib.util.spec_from_file_location("openram", "{}/../__init__.py".format(OPENRAM_HOME))
module = importlib.util.module_from_spec(spec)
sys.modules["openram"] = module
spec.loader.exec_module(module)
import openram
(OPTS, args) = openram.parse_args()
# Override the usage
USAGE = "Usage: {} [options] <config file> <spice netlist>\nUse -h for help.\n".format(__file__)
# Check that we are left with a single configuration file as argument.
if len(args) != 2:
print(USAGE)
sys.exit(2)
OPTS.top_process = 'memchar'
# These depend on arguments, so don't load them until now.
from openram import debug
# Parse config file and set up all the options
openram.init_openram(config_file=args[0], is_unit_test=False)
openram.print_banner()
# Configure the SRAM organization (duplicated from openram.py)
from openram.characterizer import fake_sram
s = fake_sram(name=OPTS.output_name,
word_size=OPTS.word_size,
num_words=OPTS.num_words,
write_size=OPTS.write_size,
num_banks=OPTS.num_banks,
words_per_row=OPTS.words_per_row,
num_spare_rows=OPTS.num_spare_rows,
num_spare_cols=OPTS.num_spare_cols)
debug.check(os.path.exists(args[1]), "Spice netlist file {} not found.".format(args[1]))
sp_file = args[1]
s.generate_pins()
s.setup_multiport_constants()
OPTS.netlist_only = True
OPTS.check_lvsdrc = False
OPTS.nomimal_corner_only = True
# TODO: remove this after adding trimmed netlist gen to sram run
OPTS.trim_netlist = False
# Characterize the design
start_time = datetime.datetime.now()
from openram.characterizer import lib
debug.print_raw("LIB: Characterizing... ")
lib(out_dir=OPTS.output_path, sram=s, sp_file=sp_file, use_model=False)
print_time("Characterization", datetime.datetime.now(), start_time)
# Output info about this run
print("Output files are:\n{0}*.lib".format(OPTS.output_path))
#report_status() #could modify this function to provide relevant info
# Delete temp files, remove the dir, etc.
openram.end_openram()
compiler/sram_func.py
-91
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#!/usr/bin/env python3
# See LICENSE for licensing information.
#
# Copyright (c) 2016-2021 Regents of the University of California and The Board
# of Regents for the Oklahoma Agricultural and Mechanical College
# (acting for and on behalf of Oklahoma State University)
# All rights reserved.
#
"""
This script will functionally simulate an SRAM previously generated by OpenRAM
given a configuration file. Configuration option "use_pex" determines whether
extracted or generated spice is used. Command line arguments dictate the
number of cycles and period to be simulated.
"""
import sys
import datetime
from globals import *
try:
import openram
except:
# If openram library isn't found as a python package,
# import it from the $OPENRAM_HOME path.
import importlib.util
OPENRAM_HOME = os.getenv("OPENRAM_HOME")
# Import using spec since the directory can be named something
# other than "openram".
spec = importlib.util.spec_from_file_location("openram", "{}/../__init__.py".format(OPENRAM_HOME))
module = importlib.util.module_from_spec(spec)
sys.modules["openram"] = module
spec.loader.exec_module(module)
import openram
(OPTS, args) = openram.parse_args()
# Override the usage
USAGE = "Usage: {} [options] <config file> <cycles> <period>\nUse -h for help.\n".format(__file__)
# Check that we are left with a single configuration file as argument.
if len(args) != 3:
print(USAGE)
sys.exit(2)
OPTS.top_process = 'memfunc'
# Parse argument
config_file = args[0]
cycles = int(args[1])
period = float(args[2])
sp_file = args[3]
html_file = args[4]
# These depend on arguments, so don't load them until now.
from openram import debug
# Parse config file and set up all the options
openram.init_openram(config_file=config_file, is_unit_test=False)
openram.print_banner()
# Configure the SRAM organization (duplicated from openram.py)
from characterizer.fake_sram import fake_sram
s = fake_sram(name=OPTS.output_name,
word_size=OPTS.word_size,
num_words=OPTS.num_words,
write_size=OPTS.write_size,
num_banks=OPTS.num_banks,
words_per_row=OPTS.words_per_row,
num_spare_rows=OPTS.num_spare_rows,
num_spare_cols=OPTS.num_spare_cols)
s.parse_html(html_file)
s.generate_pins()
s.setup_multiport_constants()
OPTS.netlist_only = True
OPTS.check_lvsdrc = False
# Generate stimulus and run functional simulation on the design
start_time = datetime.datetime.now()
from openram.characterizer import functional
debug.print_raw("Functional simulation... ")
f = functional(s, cycles=cycles, spfile=sp_file, period=period, output_path=OPTS.openram_temp)
(fail, error) = f.run()
debug.print_raw(error)
openram.print_time("Functional simulation", datetime.datetime.now(), start_time)
# Delete temp files, remove the dir, etc. after success
if fail:
openram.end_openram()