better access to debugger

Author: William Cohen

src/debug.py

@@ -4,11 +4,13 @@
 # support for debugging/visualization
 #
 
+import sys
 import Tkinter as TK
 import ttk
 import tkFont
 import time
 
+import tensorlog
 import dataset
 import matrixdb
 import tensorlog
@@ -46,7 +48,7 @@ def __init__(self,initProgram,targetPred,trainData,gradient=False):
 
         # evaluate the gradient so that's cached
         if gradient:
-            self.learner = learn.Learner(prog)
+            self.learner = learn.OnePredFixedRateGDLearner(self.prog)
             self.grad = self.learner.crossEntropyGrad(self.mode,self.X,self.Y)
 
     def render(self):
@@ -161,22 +163,24 @@ def mainloop(self):
 
 if __name__ == "__main__":
 
-    #TODO more useful main?
-
-    TRAINED = True
-
-    if not TRAINED:
-        db = matrixdb.MatrixDB.uncache('tlog-cache/textcat.db','test/textcattoy.cfacts')
+    def usage():
+        print 'debug.py [usual tensorlog options] mode [inputs]'
+
+    optdict,args = tensorlog.parseCommandLine(sys.argv[1:])
+    dset = optdict.get('trainData') or optdict.get('testData')
+    if dset==None and len(args)<2:
+        usage()
+        print 'debug on what input? specify --trainData or give a function input'
+    elif len(args)<1:
+        usage()
+    elif dset and len(args)>2:
+        print 'using --trainData not the function input given'
+    elif dset:
+        mode = declare.asMode(args[0])
+        Debugger(optdict['prog'],mode,dset,gradient=True).mainloop()
     else:
-        db = matrixdb.MatrixDB.deserialize('toy-trained.db')
-    trainData = dataset.Dataset.uncacheMatrix('tlog-cache/train.dset',db,'predict/io','train')
-    prog = tensorlog.ProPPRProgram.load(["test/textcat.ppr"],db=db)
-    if not TRAINED:
-        prog.setWeights(db.ones())
-
-    db = Debugger(prog,"predict/io",trainData,gradient=False)
-#    default_font = tkFont.nametofont("TkDefaultFont")
-#    default_font.configure(size=14)
-    #ttk.Style().theme_use('clam')
-    db.mainloop()
+        mode = declare.asMode(args[0])
+        X = optdict['prog'].db.onehot(args[1])
+        dset = dataset.Dataset({mode:X},{mode:optdict['prog'].db.zeros()})
+        Debugger(optdict['prog'],mode,dset,gradient=False).mainloop()
 

src/tensorlog.py

@@ -18,7 +18,7 @@
 import mutil
 import debug
 
-VERSION = "1.0"
+VERSION = "1.0.01"
 
 DEFAULT_MAXDEPTH=10
 DEFAULT_NORMALIZE='softmax'
@@ -210,16 +210,19 @@ def loadRules(fileNames,db):
 class Interp(object):
     """High-level interface to tensor log."""
 
-    def __init__(self,prog):
+    def __init__(self,prog,trainData=None,testData=None):
         self.prog = prog
         self.db = self.prog.db
+        self.trainData = trainData
+        self.testData = testData
 
     def help(self):
         print "ti.list(foo): foo can be a compiled function, eg \"foo/io\", a predicate definition, eg"
         print "              \"foo/2\", or a database predicate, also specified as \"foo/2\"."
         print "ti.list():    list everything."
         print "ti.eval(\"functor/mode\",\"c\"): evaluate a function on a database constant c"
         print "ti.debug(\"functor/mode\",\"c\"): debug the corresponding eval command"
+        print "ti.debugDset(\"functor/mode\"[,test=True]): run debugger on a dataset"
 
     def list(self,str=None):
         if str==None:
@@ -273,6 +276,15 @@ def debug(self,modeSpec,sym):
         dset = dataset.Dataset({mode:X},{mode:self.db.zeros()})
         debug.Debugger(self.prog,mode,dset,gradient=False).mainloop()
 
+    def debugDset(self,modeSpec,test=False):
+        fullDataset = self.testData if test else self.trainData
+        if fullDataset==None:
+            print 'train/test dataset is not specified on command line?'
+        else:
+            mode = declare.asMode(modeSpec)        
+            dset = fullDataset.extractMode(mode)
+            debug.Debugger(self.prog,mode,dset,gradient=True).mainloop()
+
 #
 # utilities for reading command lines
 #
@@ -367,7 +379,7 @@ def parseProgSpec(spec,db,proppr=False):
     print "Tensorlog v%s (C) William W. Cohen and Carnegie Mellon University, 2016" % VERSION
 
     optdict,args = parseCommandLine(sys.argv[1:])
-    ti = Interp(optdict['prog'])
+    ti = Interp(optdict['prog'],trainData=optdict.get('trainData'),testData=optdict.get('testData'))
 
     try:
         if sys.ps1: interactiveMode = True