def main():
options, args = parser.parse_args()
if len(args) < 1:
print('ERROR: no model file specified')
sys.exit(-1)
elif len(args) > 1:
print('ERROR: too many model files specified')
sys.exit(-1)
m = model.parse_model_file(args[0])
if options.best:
db = database.get_instance(options.url)
best, value, cost = db.get_best(m)
if best is None:
print('ERROR: Model not found')
sys.exit(-1)
m.memory = memlist.parse_memory_list(lex.Lexer(StringIO(best)))
print('-- Cost: {}, value: {}'.format(cost, value))
name = '-- ' + str(m).replace(') (', ')\n -- (')
name = name.replace(')(benchmarks ', ')\n-- (benchmarks ')
print(name)
for b in m.benchmarks:
mem = m.memory.get_subsystem(b.index)
if mem.depth < 0:
word_size = mem.get_word_size()
total_size = b.get_size(options.directory)
mem.depth = total_size // word_size
assert(mem.depth >= 0)
gen = vhdl.VHDLGenerator(m.machine)
result = gen.generate(m.memory)
print(result)
def dump_spec(db, experiments):
names = get_name_map(db, experiments)
for mname, _, _ in db.get_status():
key = db.get_hash(mname)
if key in names:
bname, _, _ = db.get_best(mname)
m = model.parse_model(lex.Lexer(StringIO(mname)))
m.memory = memlist.parse_memory_list(lex.Lexer(StringIO(bname)))
print(m)
