Added test for linear regression model.

compiler/options.py

@@ -105,7 +105,7 @@ class options(optparse.Values):
     output_extended_config = True
     # Determines which analytical model to use.
     # Available Models: elmore, linear_regression
-    model_name = "linear_regression"
+    model_name = "elmore"
 
     ###################
     # Tool options

compiler/tests/23_lib_sram_linear_regression_test.py

@@ -0,0 +1,70 @@
+#!/usr/bin/env python3
+# See LICENSE for licensing information.
+#
+# Copyright (c) 2016-2019 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.
+#
+import unittest
+from testutils import *
+import sys, os,re
+sys.path.append(os.getenv("OPENRAM_HOME"))
+import globals
+from globals import OPTS
+import debug
+
+#@unittest.skip("SKIPPING 23_lib_sram_linear_regression_test")
+class lib_sram_linear_regression_test(openram_test):
+
+    def runTest(self):
+        config_file = "{}/tests/configs/config".format(os.getenv("OPENRAM_HOME"))
+        globals.init_openram(config_file)
+        OPTS.nominal_corner_only = False
+        OPTS.netlist_only = True
+        OPTS.model_name = "linear_regression"
+
+        from characterizer import lib
+        from sram import sram
+        from sram_config import sram_config
+        c = sram_config(word_size=2,
+                        num_words=16,
+                        num_banks=1)
+        c.words_per_row=1
+        c.recompute_sizes()
+        debug.info(1, "Testing analytical timing for sample 2 bit, 16 words SRAM with 1 bank")
+
+        # This doesn't have to use the factory since worst case
+        # it will just replaece the top-level module of the same name
+        s = sram(c, "sram_2_16_1_{0}".format(OPTS.tech_name))
+        tempspice = OPTS.openram_temp + "temp.sp"
+        s.sp_write(tempspice)
+
+        lib(out_dir=OPTS.openram_temp, sram=s.s, sp_file=tempspice, use_model=True)
+
+        # get all of the .lib files generated
+        files = os.listdir(OPTS.openram_temp)
+        nametest = re.compile("\.lib$", re.IGNORECASE)
+        lib_files = filter(nametest.search, files)
+
+        # and compare them with the golden model
+        for filename in lib_files:
+            newname = filename.replace(".lib","_analytical.lib")
+            libname = "{0}/{1}".format(OPTS.openram_temp,filename)
+            golden = "{0}/golden/{1}".format(os.path.dirname(os.path.realpath(__file__)),newname)
+            self.assertTrue(self.isapproxdiff(libname,golden,0.15))
+
+        globals.end_openram()
+
+# run the test from the command line
+if __name__ == "__main__":
+    (OPTS, args) = globals.parse_args()
+    del sys.argv[1:]
+    header(__file__, OPTS.tech_name)
+    unittest.main(testRunner=debugTestRunner())
+
+
+
+
+
+