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-rw-r--r--scripts/abc_common.py2007
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diff --git a/scripts/abc_common.py b/scripts/abc_common.py
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--- a/scripts/abc_common.py
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@@ -1,2007 +0,0 @@
-from pyabc import *
-import pyabc_split
-import par
-import redirect
-import sys
-import os
-import time
-import math
-
-
-global G_C,G_T,latches_before_abs,latches_before_pba,n_pos_before,x_factor
-
-"""
-The functions that are currently available from module _abc are:
-
-int n_ands();
-int n_pis();
-int n_pos();
-int n_latches();
-int n_bmc_frames();
-int prob_status(); 1 = unsat, 0 = sat, -1 = unsolved
-
-int run_command(char* cmd);
-
-bool has_comb_model();
-bool has_seq_model();
-bool is_true_cex();
-bool is_valid_cex();
- return 1 if the number of PIs in the current network and in the current counter-example are equal
-int n_cex_pis();
- return the number of PIs in the current counter-example
-int n_cex_regs();
- return the number of flops in the current counter-example
-int cex_po();
- returns the zero-based output PO number that is SAT by cex
-int cex_frame();
- return the zero-based frame number where the outputs is SAT
-The last four APIs return -1, if the counter-example is not defined.
-"""
-
-#global variables
-
-stackno_gabs = stackno_gore = stackno_greg= 0
-STATUS_UNKNOWN = -1
-STATUS_SAT = 0
-STATUS_UNSAT = 1
-RESULT = ('SAT' , 'SAT', 'UNSAT', 'UNDECIDED', 'UNDECIDED,', 'UNDCIDED' )
-Sat_reg = 0
-Sat_true = 1
-Unsat = 2
-Undecided_reduction = 3
-Undecided_no_reduction = 4
-Error = 5
-Restart = 6
-xfi = x_factor = 1 #set this to higher for larger problems or if you want to try harder during abstraction
-max_bmc = -1
-last_time = 0
-
-# Function definitions:
-# simple functions: ________________________________________________________________________
-# set_globals, abc, q, x, has_any_model, is_sat, is_unsat, push, pop
-
-# ALIASES
-def p():
- return prove()
-
-def ps():
- print_circuit_stats()
-
-def n_real_inputs():
- """This gives the number of 'real' inputs. This is determined by trimming away inputs that
- have no connection to the logic. This is done by the ABC alias 'trm', which changes the current
- circuit. In some applications we do not want to change the circuit, but just to know how may inputs
- would go away if we did this. So the current circuit is saved and then restored afterwards."""
- abc('w %s_savetempreal.aig; logic; trim; st'%f_name)
- n = n_pis()
- abc('r %s_savetempreal.aig'%f_name)
- return n
-
-def long(t):
- if t<20:
- t = t
- else:
- t = 20+(t-20)/3
- return max(10,t)
-
-def rif():
- """Not used"""
- global f_name
- print 'Type in the name of the aig file to be read in'
- s = raw_input()
- if s[-5:] == '.blif':
- f_name = s[:-5]
- else:
- f_name = s
- s = s+'.blif'
- run_command(s)
- x('st;constr -i')
- print_circuit_stats()
- a = n_ands()
- f = max(1,30000/a)
- f = min (f,16)
- x('scorr -c -F %d'%f)
- x('fold')
- print_circuit_stats()
- x('w %s_c.aig'%f_name)
-
-def abc(cmd):
- abc_redirect_all(cmd)
-
-
-def abc_redirect( cmd, dst = redirect.null_file, src = sys.stdout ):
- """This is our main way of calling an ABC function. Redirect, means that we suppress any output from ABC"""
- with redirect.redirect( dst, src ):
- return run_command( cmd )
-
-
-def abc_redirect_all( cmd ):
- """This is our main way of calling an ABC function. Redirect, means that we suppress any output from ABC, including error printouts"""
- with redirect.redirect( redirect.null_file, sys.stdout ):
- with redirect.redirect( redirect.null_file, sys.stderr ):
- return run_command( cmd )
-
-def set_globals():
- """This sets global parameters that are used to limit the resources used by all the operations
- bmc, interpolation BDDs, abstract etc. There is a global factor 'x_factor' that can
- control all of the various resource limiting parameters"""
- global G_C,G_T,x_factor
- nl=n_latches()
- na=n_ands()
- np = n_pis()
- #G_C = min(500000,(3*na+500*(nl+np)))
- G_C = x_factor * min(100000,(3*na+500*(nl+np)))
- #G_T = min(250,G_C/2000)
- G_T = x_factor * min(75,G_C/2000)
- G_T = max(1,G_T)
- #print('Global values: BMC conflicts = %d, Max time = %d sec.'%(G_C,G_T))
-
-def a():
- """this puts the system into direct abc input mode"""
- print "Entering ABC direct-input mode. Type q to quit ABC-mode"
- n = 0
- while True:
- print ' abc %d> '%n,
- n = n+1
- s = raw_input()
- if s == "q":
- break
- run_command(s)
-
-def set_fname(name):
- """ Another way to set an f_name, but currently this is not used"""
- global f_name
- s = name
- if s[-4:] == '.aig':
- f_name = s[:-4]
- else:
- f_name = s
- s = s+'.aig'
- #read in file
- run_command(s)
- #print_circuit_stats()
-
-def read_file_quiet(fname=None):
- """This is the main program used for reading in a new circuit. The global file name is stored (f_name)
- Sometimes we want to know the initial starting name. The file name can have the .aig extension left off
- and it will assume that the .aig extension is implied. This should not be used for .blif files.
- Any time we want to process a new circuit, we should use this since otherwise we would not have the
- correct f_name."""
- global max_bmc, f_name, d_name, initial_f_name, x_factor, init_initial_f_name
- x_factor = 1
- max_bmc = -1
-
- if fname is None:
- print 'Type in the name of the aig file to be read in'
- s = raw_input()
- else:
- s = fname
-
- if s[-4:] == '.aig':
- f_name = s[:-4]
- else:
- f_name = s
- s = s+'.aig'
-
- run_command(s)
- initial_f_name = f_name
- init_initial_f_name = f_name
-
-def read_file():
- read_file_quiet()
- print_circuit_stats()
-
-def rf():
- read_file()
-
-
-def write_file(s):
- """this is the main method for writing the current circuit to an AIG file on disk.
- It manages the name of the file, by giving an extension (s). The file name 'f_name'
- keeps increasing as more extensions are written. A typical sequence is
- name, name_smp, name_smp_abs, name_smp_abs_spec, name_smp_abs_spec_final"""
- global f_name
- """Writes out the current file as an aig file using f_name appended with argument"""
- f_name = '%s_%s'%(f_name,s)
- ss = '%s.aig'%(f_name)
- print 'WRITING %s: '%ss,
- print_circuit_stats()
- abc('w '+ss)
-
-def wf():
- """Not used"""
- print 'input type of file to be written'
- s = raw_input()
- write_file(s)
-
-def bmc_depth():
- """ Finds the number of BMC frames that the latest operation has used. The operation could be BMC, reachability
- interpolation, abstract, speculate. max_bmc is continually increased. It reflects the maximum depth of any version of the circuit
- including g ones, for which it is known that there is not cex out to that depth."""
- global max_bmc
- b = n_bmc_frames()
- max_bmc = max(b,max_bmc)
- return max_bmc
-
-def set_max_bmc(b):
- """ Keeps increasing max_bmc which is the maximum number of time frames for
- which the current circuit is known to be UNSAT for"""
- global max_bmc
- max_bmc = max(b,max_bmc)
-
-def print_circuit_stats():
- """Stardard way of outputting statistice about the current circuit"""
- global max_bmc
- i = n_pis()
- o = n_pos()
- l = n_latches()
- a = n_ands()
- b = max(max_bmc,bmc_depth())
- c = cex_frame()
- if b>= 0:
- if c>=0:
- print 'PIs = %d, POs = %d, FF = %d, ANDs = %d, max depth = %d, CEX depth = %d'%(i,o,l,a,b,c)
- else:
- print 'PIs = %d, POs = %d, FF = %d, ANDs = %d, max depth = %d'%(i,o,l,a,b)
- else:
- if c>=0:
- print 'PIs = %d, POs = %d, FF = %d, ANDs = %d, CEX depth = %d'%(i,o,l,a,c)
- else:
- print 'PIs = %d, POs = %d, FF = %d, ANDs = %d'%(i,o,l,a)
-
-def q():
- exit()
-
-def x(s):
- """execute an ABC command"""
- print "RUNNING: ", s
- run_command(s)
-
-def has_any_model():
- """ check if a satisfying assignment has been found"""
- res = has_comb_model() or has_seq_model()
- return res
-
-def is_unsat():
- if prob_status() == 1:
- return True
- else:
- return False
-
-def is_sat():
- if prob_status() == 0:
- return True
- else:
- return False
-
-def wc(file):
- """writes <file> so that costraints are preserved explicitly"""
- abc('&get;&w %s'%file)
-
-def rc(file):
- """reads <file> so that if constraints are explicit, it will preserve them"""
- abc('&r %s;&put'%file)
-
-
-
-def fast_int(n):
- """This is used to eliminate easy-to-prove outputs. Arg n is conflict limit to be used
- in the interpolation routine. Typically n = 1 or 10"""
- n_po = n_pos()
- abc('int -k -C %d'%n)
- print 'Reduced POs from %d to %d'%(n_po,n_pos())
-
-def refine_with_cex():
- """Refines the greg (which contains the original problem with the set of FF's that have been abstracted).
- This generates a new abstraction (gabs) and modifies the greg file to reflect which regs are in the
- current abstraction"""
- global f_name
- print 'CEX in frame %d for output %d'%(cex_frame(),cex_po())
- abc('&r %s_greg.aig; &abs_refine; &w %s_greg.aig'%(f_name,f_name))
- return
-
-def generate_abs(n):
- """generates an abstracted model (gabs) from the greg file. The gabs file is automatically
- generated in the & space by &abs_derive. We store it away using the f_name of the problem
- being solved at the moment. The f_name keeps changing with an extension given by the latest
- operation done - e.g. smp, abs, spec, final, group. """
- global f_name
- #we have a cex and we use this generate a new gabs file
- abc('&r %s_greg.aig; &abs_derive; &put; w %s_gabs.aig'%(f_name,f_name)) # do we still need the gabs file
- if n == 1:
- print 'New abstraction: ',
- print_circuit_stats()
- return
-
-
-#more complex functions: ________________________________________________________
-#, abstract, pba, speculate, final_verify, dprove3
-
-
-def simplify():
- """Our standard simplification of logic routine. What it does depende on the problem size.
- For large problems, we use the &methods which use a simple circuit based SAT solver. Also problem
- size dictates the level of k-step induction done in 'scorr' The stongest simplification is done if
- n_ands < 20000. Then it used the clause based solver and k-step induction where |k| depends
- on the problem size """
- # set_globals()
-## print 'simplify initial ',
-## ps()
- #abc('w t.aig')
- n=n_ands()
- abc('scl')
- if n > 40000:
- abc('&get;&scl;&put')
- n = n_ands()
- if n < 100000:
- abc("&dc2;&put;dr;&get;&lcorr;&dc2;&put;dr;&get;&scorr;&fraig;&dc2;&put;dr")
- run_command('ps')
- print '.',
- n = n_ands()
- if n<60000:
- abc("&get;&scorr -F 2;&put;dc2rs")
- print '.',
- #ps()
- else:
- abc("dc2rs")
- print '.',
- #ps()
- n = n_ands()
- n = n_ands()
- if n <= 40000:
- print '.',
- #ps()
- if n > 30000:
- abc("dc2rs")
- print '.',
-## else:
-## abc("scorr -F 2;dc2rs")
-## print '.',
-## ps()
- n = max(1,n_ands())
- #ps()
- if n < 30000:
- abc('scl;rw;dr;lcorr;rw;dr')
- m = int(min( 60000/n, 16))
- #print 'm = %d'%m
- if m >= 1:
- j = 1
- while j <= m:
- set_size()
- #print 'j - %d'%j
- #abc('scl;dr;dc2;scorr -C 5000 -F %d'%j)
- if j<8:
- abc('dc2')
- else:
- abc('dc2rs')
- abc('scorr -C 5000 -F %d'%j)
- if check_size():
- break
- j = 2*j
- #ps()
- continue
- print '.',
-
-
-def iterate_simulation(latches_before):
- """Subroutine of 'abstract' which does the refinement of the abstracted model,
- using counterexamples found by simulation. Simulation is controlled by the amount
- of memory it might use. At first wide but shallow simulation is done, bollowed by
- successively more narrow but deeper simulation"""
- global x_factor, f_name
-## print 'RUNNING simulation iteratively'
- f = 5
- w = 255
- for k in range(9):
- f = min(f *2, 3500)
- w = max(((w+1)/2)-1,1)
- print '.',
- abc('sim -m -F %d -W %d'%(f,w))
- if not is_sat():
- continue
- while True:
- refine_with_cex()
- if is_sat():
- print 'cex failed to refine abstraction '
- return Sat_true
- generate_abs(0)
- latches_after = n_latches()
- print 'Latches increased to %d'%latches_after
- if latches_after >= .99*latches_before:
- abc('r %s_savetempabs.aig'%f_name)
- print "No reduction!."
- return Undecided_no_reduction
- abc('sim -m -F %d -W %d'%(f,w))
- if not is_sat():
- break
-
-def simulate():
- """Simulation is controlled by the amount
- of memory it might use. At first wide but shallow simulation is done, bollowed by
- successively more narrow but deeper simulation"""
- global x_factor, f_name
-## print 'RUNNING simulation iteratively'
- f = 5
- w = 255
- for k in range(9):
- f = min(f *2, 3500)
- w = max(((w+1)/2)-1,1)
- print '.',
- abc('sim -m -F %d -W %d'%(f,w))
- if is_sat():
- print 'cex found in frame %d'%cex_frame()
- return 'SAT'
- return 'UNDECIDED'
-
-
-def iterate_abstraction_refinement(latches_before,NBF):
- """Subroutine of 'abstract' which does the refinement of the abstracted model,
- using counterexamples found by BMC or BDD reachability"""
- global x_factor, f_name
- if NBF == -1:
- F = 2000
- else:
- F = 2*NBF
- print '\nIterating BMC/PDR'
- always_reach = 0
- cexf = 0
- reach_failed = 0
- while True:
- #print 'Generating problem abstraction'
- generate_abs(1)
- set_globals()
- latches_after = n_latches()
- if latches_after >= .98*latches_before:
-## print 'No reduction'
-## abc('r &s_savetemp.aig'%f_name)
- break
- ri = n_real_inputs() # No. of inputs after trm
- nlri = n_latches()+ri
- #reach_allowed = ((nlri<150) or (((cexf>250))&(nlri<300)))
- reach_allowed = ((nlri<75) or (((cexf>250))&(nlri<300)))
- pdr_allowed = True
- bmc = False
- t = max(1,G_T)
- if not F == -1:
- F = int(1.5*max_bmc)
- if (((reach_allowed or pdr_allowed ) and not reach_failed)):
- #cmd = 'reach -B 200000 -F 3500 -T %f'%t
- #cmd = 'reachx -e %d -t %d'%(int(long(t)),max(10,int(t)))
- #cmd = 'reachx -t %d'%max(10,int(t))
- cmd = '&get;,pdr -vt=%f'%t
- else:
- #cmd = 'bmc3 -C %d -T %f -F %d'%(G_C,t,F)
- bmc = True
- cmd = '&get;,bmc -vt=%f'%(t)
- #cmd = '&get;,pdr -vt=%f'%(t)
- print '\n***RUNNING %s'%cmd
- #run_command(cmd)
- last_bmc = max_bmc
- abc(cmd)
- if prob_status() == 1:
- #print 'Depth reached %d frames, '%n_bmc_frames()
- print 'UNSAT'
- return Unsat
- cexf = cex_frame()
- #print 'cex depth = %d'%cexf
- #set_max_bmc(cexf -1)
- if ((not is_sat()) ):
- reach_failed = 1 # if ever reach failed, then we should not try it again on more refined models
- if is_sat():
- #print 'CEX in frame %d for output %d'%(cex_frame(),cex_po())
- #set_max_bmc(cexf-1)
- refine_with_cex() # if cex can't refine, status is set to Sat_true
- if is_sat():
- print 'cex did not refine. Implies true_sat'
- return Sat_true
- else:
- print "No CEX found in %d frames"%n_bmc_frames()
- set_max_bmc(n_bmc_frames())
- if bmc:
- break
- elif max_bmc> 1.2*last_bmc: # if pdr increased significantly over abs, the assume OK
- break
- else:
- continue
- latches_after = n_latches()
- if latches_after >= .98*latches_before:
- abc('r %s_savetempabs.aig'%f_name)
- print "No reduction!"
- return Undecided_no_reduction
- else:
- print 'Latches reduced from %d to %d'%(latches_before, n_latches())
- return Undecided_reduction
-
-
-def abstract():
- """ abstracts using N Een's method 3 - cex/proof based abstraction. The result is further refined using
- simulation, BMC or BDD reachability"""
- global G_C, G_T, latches_before_abs, x_factor
- set_globals()
- latches_before_abs = n_latches()
- abc('w %s_savetempabs.aig'%f_name)
- print 'Start: ',
- print_circuit_stats()
- c = 1.5*G_C
- #t = max(1,1.25*G_T)
- t = 2*max(1,1.25*G_T)
- s = min(max(3,c/30000),10) # stability between 3 and 10
- time = max(1,.01*G_T)
- abc('&get;,bmc -vt=%f'%time)
- print 'BMC went %d frames'%n_bmc_frames()
- set_max_bmc(bmc_depth())
- f = max(2*max_bmc,20)
- b = min(max(10,max_bmc),200)
- cmd = '&get;,abs -bob=%d -stable=%d -timeout=%f -vt=%f -depth=%d'%(b,s,t,t,f)
- print ' Running %s'%cmd
- run_command(cmd)
- if is_sat():
- print 'Found true counterexample in frame %d'%cex_frame()
- return Sat_true
- NBF = bmc_depth()
- print 'Abstraction good to %d frames'%n_bmc_frames()
- set_max_bmc(NBF)
- abc('&w %s_greg.aig; &abs_derive; &put; w %s_gabs.aig'%(f_name,f_name))
-## print 'First abstraction: ',
-## print_circuit_stats()
- latches_after = n_latches()
- #if latches_before_abs == latches_after:
- if latches_after >= .98*latches_before_abs:
- abc('r %s_savetempabs.aig'%f_name)
- print "No reduction!"
- return Undecided_no_reduction
- # refinement loop
- if (n_ands() + n_latches() + n_pis()) < 15000:
- print '\n***Running simulation iteratively'
- for i in range(5):
- result = iterate_simulation(latches_before_abs)
- if result == Restart:
- return result
- if result == Sat_true:
- return result
- result = iterate_abstraction_refinement(latches_before_abs, NBF)
- #if the result is 'Restart' we return and the calling routine increase
- #x_factor to try one more time.
- return result
-
-def absv(n,v):
- """This is a version of 'abstract' which can control the methods used in Een's abstraction code (method = n)
- as well as whether we want to view the output of this (v = 1)"""
- global G_C, G_T, latches_before_abs, x_factor
- #input_x_factor()
- #x_factor = 3
- set_globals()
- latches_before_abs = n_latches()
- print 'Start: ',
- print_circuit_stats()
- c = 1.5*G_C
- t = max(1,1.25*G_T)
- s = min(max(3,c/30000),10) # stability between 3 and 10
- if max_bmc == -1:
- time = max(1,.01*G_T)
- #abc('bmc3 -C %d -T %f -F 165'%(.01*G_C, time))
- abc('&get;,bmc -vt=%f'%time)
- set_max_bmc(bmc_depth())
- f = min(250,1.5*max_bmc)
- f = max(20, f)
- f = 10*f
- b = x_factor*20
- if not n == 0:
- b = 10
- b = max(b,max_bmc+2)
- b = b*2**(x_factor-1)
- b = 2*b
- print 'Neen abstraction params: Method #%d, %d conflicts, %d stable, %f sec.'%(n,c/3,s,t)
- if v == 1:
- run_command('&get; &abs_newstart -v -B %f -A %d -C %d -S %d -V %f'%(b,n,c/3,s,t))
- else:
- abc('&get; &abs_newstart -v -B %f -A %d -C %d -S %d -T %f'%(b,n,c/3,s,t))
- set_max_bmc(n_bmc_frames())
- print 'Abstraction good to %d'%n_bmc_frames()
- abc('&w %s_greg.aig; &abs_derive; &put; w %s_gabs.aig'%(f_name,f_name))
- print 'Final abstraction: ',
- print_circuit_stats()
- latches_after = n_latches()
- if latches_after >= .98*latches_before_abs:
- print "No reduction!"
- return Undecided_no_reduction
- return Undecided_reduction
-
-def spec():
- """Main speculative reduction routine. Finds candidate sequential equivalences and refines them by simulation, BMC, or reachability
- using any cex found. """
- input_x_factor()
- global G_C,G_T,n_pos_before, x_factor, n_latches_before
- set_globals()
- n_pos_before = n_pos()
- n_latches_before = n_latches()
- set_globals()
- t = max(1,.5*G_T)
- r = max(1,int(t))
- print '\n***Running &equiv2 with C = %d, T = %f sec., F = %d -S 1 -R %d'%(G_C,t,200,r)
- abc("&get; &equiv2 -C %d -F 200 -T %f -S 1 -R %d; &semi -F 50; &speci -F 20 -C 1000;&srm; r gsrm.aig; w %s_gsrm.aig; &w %s_gore.aig"%((G_C),t,r,f_name,f_name))
- print 'Initial speculation: ',
- print_circuit_stats()
- print 'Speculation good to %d frames'%n_bmc_frames()
- return
-
-def speculate():
- """Main speculative reduction routine. Finds candidate sequential equivalences and refines them by simulation, BMC, or reachability
- using any cex found. """
-
- global G_C,G_T,n_pos_before, x_factor, n_latches_before
- set_globals()
- n_pos_before = n_pos()
-
- def refine_with_cex():
- """Refines the gore file to reflect equivalences that go away because of cex"""
- global f_name
- print 'CEX in frame %d for output %d'%(cex_frame(),cex_po())
- abc('&r %s_gore.aig; &resim -m; &w %s_gore.aig'%(f_name,f_name))
- #abc('&r %s_gore.aig; &equiv2 -vx ; &w %s_gore.aig'%(f_name,f_name))
- return
-
- def generate_srm(n):
- """generates a speculated reduced model (srm) from the gore file"""
- global f_name
- pos = n_pos()
- ab = n_ands()
- abc('&r %s_gore.aig; &srm ; r gsrm.aig; w %s_gsrm.aig'%(f_name,f_name)) #do we still need to write the gsrm file
- if n == 0:
- if ((pos == n_pos()) and (ab == n_ands())):
- print 'Failed to refine'
- return 'failed'
- if n == 1:
- print 'Spec. Red. Miter: ',
- print_circuit_stats()
- return 'OK'
-
- def run_simulation(n):
- f = 5
- w = (256/n)-1
- for k in range(9):
- f = min(f * 2, 3500)
- w = max(((w+1)/2)-1,1)
- print '.',
- #generate_srm(0)
- abc('sim -m -F %d -W %d'%(f,w))
- if not is_sat():
- continue
- if cex_po() < n_pos_before:
- print 'Sim found true cex: Output = %d, Frame = %d'%(cex_po(),cex_frame())
- return Sat_true
- refine_with_cex()
- if n_pos_before == n_pos():
- return Undecided_no_reduction
- while True:
- result = generate_srm(0)
- if result == 'failed':
- return Sat_true
- abc('sim -m -F %d -W %d'%(f,w))
- if not is_sat():
- break
- if cex_po() < n_pos_before:
- print 'Sim found true cex: Output = %d, Frame = %d'%(cex_po(),cex_frame())
- return Sat_true
- refine_with_cex()
- if n_pos_before == n_pos():
- return Undecided_no_reduction
- return Undecided_no_reduction
-
- n_pos_before = n_pos()
- n_latches_before = n_latches()
- set_globals()
- t = max(1,.5*G_T)
- r = max(1,int(t))
- abc('write spec_temp.aig')
- print '\n***Running &equiv2 with C = %d, T = %f sec., F = %d -S 1 -R %d'%(G_C,t,200,r)
-## abc("&get; &equiv2 -C %d -F 200 -T %f -S 1 -R %d; &semi -F 50; &speci -F 20 -C 1000;&srm; r gsrm.aig; w %s_gsrm.aig; &w %s_gore.aig"%((G_C),t,r,f_name,f_name))
- abc("&get; &equiv2 -C %d -F 200 -T %f -S 1 -R %d; &semi -W 63 -S 5 -C 500 -F 500; &speci -F 200 -C 5000;&srm; r gsrm.aig; w %s_gsrm.aig; &w %s_gore.aig"%((G_C),t,r,f_name,f_name))
- print 'Initial speculation: ',
- print_circuit_stats()
- #print 'Speculation good to %d frames'%n_bmc_frames()
- #simplify()
- if n_pos_before == n_pos():
- print 'No new outputs. Quitting speculate'
- return Undecided_no_reduction # return result is unknown
- if is_sat():
- #print '\nWARNING: if an abstraction was done, need to refine it further\n'
- return Sat_true
- if n_latches() > .98*n_latches_before:
- pre_simp()
- if n_latches() > .98*n_latches_before:
- print 'Quitting speculation - not enough gain'
- abc('r spec_temp.aig')
- return Undecided_no_reduction # not worth it
- k = n_ands() + n_latches() + n_pis()
- n = 0
- if k < 15000:
- n = 1
- elif k < 30000:
- n = 2
- elif k < 60000:
- n = 4
- elif k < 120000:
- n = 8
- if n > 0: # simulation can run out of memory for too large designs, so be careful
- print '\n***RUNNING simulation iteratively'
- for i in range(5):
- result = run_simulation(n)
- if result == Sat_true:
- return result
- simp_sw = 1
- int_sw = 1
- reach_sw = 0
- cexf = 0
- reach_failed = 0
- init = 1
- run_command('write temptemp.aig')
- print '\nIterating BMC or BDD reachability'
- while True: # now try real hard to get the last cex.
- set_globals()
- if not init:
- set_size()
- result = generate_srm(1)
- if check_size() == True:
- print 'Failed to refine'
- return Error
- if result == 'failed':
- return Sat_true
- if simp_sw == 1:
- na = n_ands()
- simplify()
- if n_ands() > .7*na: #if not significant reduction, stop simplification
- simp_sw = 0
- if n_latches() == 0:
- return check_sat()
- init = 0 # make it so that next time it is not the first time through
- time = max(1,G_T/(5*n_pos()))
- if int_sw ==1:
- npo = n_pos()
- if n_pos() > .5*npo: # if not sufficient reduction, turn this off
- int_sw = 0
- if is_sat(): #if fast interpolation found a cex
- cexf = cex_frame()
- set_max_bmc(cexf - 1)
- if cex_po() < n_pos_before:
- print 'Int found true cex: Output = %d, Frame = %d'%(cex_po(),cex_frame())
- return Sat_true
- refine_with_cex()
- if ((n_pos_before == n_pos()) or (n_latches_before == n_latches())):
- abc('r temp_spec.aig')
- return Undecided_no_reduction
- if is_sat():
- print '1. cex failed to refine abstraction'
- return Sat_true
- continue
- else:
- if n_latches() == 0:
- return check_sat()
- ri = n_real_inputs() #seeing how many inputs would trm get rid of
- nlri = n_latches() + ri
- reach_allowed = ((nlri<75) or (((cexf>250)) and (nlri<300)))
- pdr_allowed = True
- bmc = False
- if (((reach_allowed or pdr_allowed ) and not reach_failed)):
- t = max(1,1.2*G_T)
- f = max(3500, 2*max_bmc)
- #cmd = 'reachx -t %d'%max(10,int(t))
- cmd ='&get;,pdr -vt=%f'%t
- else:
- t = max(1,1.5*G_T)
- if max_bmc == -1:
- f = 200
- else:
- f = max_bmc
- f = int(1.5*f)
- #cmd = 'bmc3 -C %d -T %f -F %f'%(1.5*G_C,1.2*t,f)
- bmc = True
- cmd = '&get;,bmc -vt=%f'%(1.2*t)
- print '\n***Running %s'%cmd
- last_bmc = max_bmc
- abc(cmd)
- #run_command(cmd)
- if is_sat():
- cexf = cex_frame()
- #set_max_bmc(cexf - 1)
- #This is a temporary fix since reachx always reports cex_ps = 0
- if ((cex_po() < n_pos_before) and (cmd[:4] == '&get')):
- print 'BMC/PDR found true cex: Output = %d, Frame = %d'%(cex_po(),cex_frame())
- return Sat_true
- #End of temporary fix
- refine_with_cex()#change the number of equivalences
- if n_pos_before == n_pos():
- return Undecided_no_reduction
- continue
- else:
- set_max_bmc(n_bmc_frames())
- if prob_status() == 1:
- #print 'Convergence reached in %d frames'%n_bmc_frames()
- return Unsat
- print 'No cex found in %d frames'%n_bmc_frames()
- if bmc:
- break
- elif max_bmc > 1.2*last_bmc:
- break
- else:
- reach_failed = 1
- init = 1
- continue
- if n_pos_before == n_pos():
- return Undecided_no_reduction
- else:
- return Undecided_reduction
-
-def set_size():
- """Stores the problem size of the current design. Size is defined as (PIs, POs, ANDS, FF, max_bmc)"""
- global npi, npo, nands, nff, nmd
- npi = n_pis()
- npo = n_pos()
- nands = n_ands()
- nff = n_latches()
- nmd = max_bmc
-
-def check_size():
- """Assumes the problem size has been set by set_size before some operation. This checks if the size was changed
- Size is defined as (PIs, POs, ANDS, FF, max_bmc)
- Returns TRUE is size is the same"""
- global npi, npo, nands, nff, nmd
- result = ((npi == n_pis()) and (npo == n_pos()) and (nands == n_ands()) and (nff == n_latches()) and (nmd == max_bmc))
-## if result == 1:
-## print 'Size unchanged'
- return result
-
-def inferior_size():
- """Assumes the problem size has been set by set_size beore some operation.
- This checks if the new size is inferior (larger) to the old one
- Size is defined as (PIs, POs, ANDS, FF)"""
- global npi, npo, nands, nff
- result = ((npi < n_pis()) or (npo < n_pos()) or (nands < n_ands()) )
- return result
-
-def quick_verify(n):
- """Low resource version of final_verify n = 1 means to do an initial simplification first"""
- abc('trm')
- if n == 1:
- simplify()
- if n_latches == 0:
- return check_sat()
- abc('trm')
- if is_sat():
- return Sat_true
- print 'After trimming: ',
- print_circuit_stats()
- #try_rpm()
- set_globals()
- t = max(1,.4*G_T)
- print ' Running PDR for %d sec '%(t)
- abc('&get;,pdr -vt=%f'%(t*.8))
- status = get_status()
- if not status == Unsat:
- print 'PDR went to %d frames, '%n_bmc_frames(),
- print RESULT[status]
- return status #temporary
- if status <= Unsat:
- return status
- N = bmc_depth()
- c = max(G_C/10, 1000)
- t = max(1,.4*G_T)
- print ' RUNNING interpolation with %d conflicts, max %d sec and 100 frames'%(c,t)
- #abc('int -v -F 100 -C %d -T %f'%(c,t))
- abc(',imc -vt=%f '%t)
- status = get_status()
- if status <= Unsat:
- print 'Interpolation went to %d frames, '%n_bmc_frames(),
- print RESULT[status]
- return status
- L = n_latches()
- I = n_real_inputs()
- if ( ((I+L<200)&(N>100)) or (I+L<125) or L < 51 ): #heuristic that if bmc went deep, then reachability might also
- t = max(1,.4*G_T)
- cmd = 'reachx -t %d'%max(10,int(t))
- print ' Running %s'%cmd
- abc(cmd)
- status = get_status()
- if status <= Unsat:
- print 'Reachability went to %d frames, '%n_bmc_frames()
- print RESULT[status]
- return status
- print 'BDD reachability aborted'
- simplify() #why is this here
- if n_latches() == 0:
- print 'Simplified to 0 FF'
- return check_sat()
- set_max_bmc(bmc_depth()) # doesn't do anything
- print 'No success, max_depth = %d'%max_bmc
- return Undecided_reduction
-
-def get_status():
- """this simply translates the problem status encoding done by ABC (-1,0,1)=(undecided,SAT,UNSAT) into the status code used by our python code."""
- status = prob_status() #interrogates ABC for the current status of the problem.
- # 0 = SAT
- if status == 1:
- status = Unsat
- if status == -1: #undecided
- status = Undecided_no_reduction
- return status
-
-def try_rpm():
- """rpm is a cheap way of doing reparameterization and is an abstraction method, so may introduce false cex's.
- It finds a minimum cut between the PIs and the main sequential logic and replaces this cut by free inputs.
- A quick BMC is then done, and if no cex is found, we assume the abstraction is valid. Otherwise we revert back
- to the original problem before rpm was tried."""
- global x_factor
- if n_ands() > 30000:
- return
- set_globals()
- pis_before = n_pis()
- abc('w %s_savetemp.aig'%f_name)
- abc('rpm')
- result = 0
- if n_pis() < .5*pis_before:
- bmc_before = bmc_depth()
- #print 'running quick bmc to see if rpm is OK'
- t = max(1,.1*G_T)
- #abc('bmc3 -C %d, -T %f'%(.1*G_C, t))
- abc('&get;,bmc -vt=%f'%t)
- if is_sat(): #rpm made it sat by bmc test, so undo rpm
- abc('r %s_savetemp.aig'%f_name)
- else:
- abc('trm')
- print 'WARNING: rpm reduced PIs to %d. May make SAT.'%n_pis()
- result = 1
- else:
- abc('r %s_savetemp.aig'%f_name)
- return result
-
-def final_verify():
- """This is the final method for verifying anything is nothing else has worked. It first tries BDD reachability
- if the problem is small enough. If this aborts or if the problem is too large, then interpolation is called."""
- global x_factor
- set_globals()
-## simplify()
-## if n_latches() == 0:
-## return check_sat()
-## abc('trm')
- #rpm_result = try_rpm()
- set_globals()
- N = bmc_depth()
- L = n_latches()
- I = n_real_inputs()
- #try_induction(G_C)
- c = max(G_C/5, 1000)
- t = max(1,G_T)
- print '\n***Running PDR for %d sec'%(t)
- abc('&get;,pdr -vt=%f'%(t*.8))
- status = get_status()
- if status <= Unsat:
- print 'PDR went to %d frames, '%n_bmc_frames(),
- print RESULT[status]
- return status
- if ( ((I+L<250)&(N>100)) or (I+L<200) or (L<51) ): #heuristic that if bmc went deep, then reachability might also
- t = max(1,1.5*G_T)
- #cmd = 'reach -v -B 1000000 -F 10000 -T %f'%t
- #cmd = 'reachx -e %d'%int(long(t))
- #cmd = 'reachx -e %d -t %d'%(int(long(t)),max(10,int(t)))
- cmd = 'reachx -t %d'%max(10,int(t))
- print '\n***Running %s'%cmd
- abc(cmd)
- status = get_status()
- if status <= Unsat:
- print 'Reachability went to %d frames, '%n_bmc_frames(),
- print RESULT[status]
- return status
- print 'BDD reachability aborted'
- return status #temporary
- #f = max(100, bmc_depth())
- print '\n***RUNNING interpolation with %d conflicts, %d sec, max 100 frames'%(c,t)
- #abc('int -v -F 100 -C %d -T %f'%(c,t))
- abc(',imc -vt=%f '%t)
- status = get_status()
- if status <= Unsat:
- print 'Interpolation went to %d frames, '%n_bmc_frames(),
- print RESULT[status]
- return status
- t = max(1,G_T)
- simplify()
- if n_latches() == 0:
- return check_sat()
- print 'Undecided'
- return Undecided_reduction
-
-def check_sat():
- """This is called if all the FF have disappeared, but there is still some logic left. In this case,
- the remaining logic may be UNSAT, which is usually the case, but this has to be proved. The ABC command 'dsat' is used fro combinational problems"""
-## if n_ands() == 0:
-## return Unsat
- abc('orpos;dsat -C %d'%G_C)
- if is_sat():
- return Sat_true
- elif is_unsat():
- return Unsat
- else:
- return Undecided_no_reduction
-
-def try_era(s):
- """era is explicit state enumeration that ABC has. It only works if the number of PIs is small,
- but there are cases where it works and nothing else does"""
- if n_pis() > 12:
- return
- cmd = '&get;&era -mv -S %d;&put'%s
- print 'Running %s'%cmd
- run_command(cmd)
-
-def try_induction(C):
- """Sometimes proving the property directly using induction works but not very often.
- For 'ind' to work, it must have only 1 output, so all outputs are or'ed together temporarily"""
- return Undecided_reduction
- print '\n***Running induction'
- abc('w %s_temp.aig'%f_name)
- abc('orpos; ind -uv -C %d -F 10'%C)
- abc('r %s_savetemp.aig'%f_name)
- status = prob_status()
- if not status == 1:
- return Undecided_reduction
- print 'Induction succeeded'
- return Unsat
-
-def final_verify_recur(K):
- """During prove we make backups as we go. These backups have increasing abstractions done, which can cause
- non-verification by allowing false counterexamples. If an abstraction fails with a cex, we can back up to
- the previous design before the last abstraction and try to proceed from there. K is the backup number we
- start with and this decreases as the backups fails. For each backup, we just try final_verify.
- If ever we back up to 0, which is the backup just after simplify, we then try speculate on this. This often works
- well if the problem is a SEC problem where there are a lot of equivalences across the two designs."""
- for j in range(K):
- i = K-(j+1)
- if i == 0: #don't try final verify on original
- status = 3
- break
- print '\nVerifying backup number %d:'%i,
- abc('r %s_backup_%d.aig'%(initial_f_name,i))
- print_circuit_stats()
- status = final_verify()
- if status >= Unsat:
- return status
- if i > 0:
- print 'SAT returned, Running less abstract backup'
- continue
- break
- if ((i == 0) and (status > Unsat) and (n_ands() > 0)):
- print '\n***Running speculate on initial backup number %d:'%i,
- abc('r %s_backup_%d.aig'%(initial_f_name,i))
- ps()
- if n_ands() < 20000:
- status = speculate()
- if ((status <= Unsat) or (status == Error)):
- return status
- status = final_verify()
- if status == Unsat:
- return status
- else:
- return Undecided_reduction
-
-
-def smp():
- pre_simp()
- write_file('smp')
-
-def pre_simp():
- """This uses a set of simplification algorithms which preprocesses a design.
- Includes forward retiming, quick simp, signal correspondence with constraints, trimming away
- PIs, and strong simplify"""
-## print "Trying BMC for 2 sec."
-## abc("&get; ,bmc -vt=2")
-## if is_sat():
-## return Sat_true
- set_globals()
- if n_latches == 0:
- return check_sat()
- #print '\n*** Running forward'
- try_forward()
- #print \n*** Running quick simp'
- quick_simp()
- #print 'Running_scorr_constr'
- status = try_scorr_constr()
- #status = 3
- #print 'Running trm'
- if ((n_ands() > 0) or (n_latches()>0)):
- abc('trm')
- print 'Forward, quick_simp, scorr_constr,: ',
- print_circuit_stats()
- if n_latches() == 0:
- return check_sat()
- status = process_status(status)
- if status <= Unsat:
- return status
- simplify()
- print 'Simplify: ',
- print_circuit_stats()
- #abc('w temp_simp.aig')
- if n_latches() == 0:
- return check_sat()
- try_phase()
- if n_latches() == 0:
- return check_sat()
- #abc('trm')
- if ((n_ands() > 0) or (n_latches()>0)):
- abc('trm')
- status = process_status(status)
- if status <= Unsat:
- return status
- status = try_scorr_constr()
- abc('trm')
- return process_status(status)
-
-def try_scorr_constr():
- set_size()
- abc('w %s_savetemp.aig'%f_name)
- status = scorr_constr()
- if inferior_size():
- abc('r %s_savetemp.aig'%f_name)
- return status
-
-def process(status):
- """Checks if there are no FF and if so checks if the remaining combinational
- problem is UNSAT"""
- if n_latches() == 0:
- return check_sat()
- return status
-
-def try_phase():
- """Tries phase abstraction. ABC returns the maximum clock phase it found using n_phases.
- Then unnrolling is tried up to that phase and the unrolled model is quickly
- simplified (with retiming to see if there is a significant reduction.
- If not, then revert back to original"""
- n = n_phases()
- if ((n == 1) or (n_ands() > 40000)):
- return
- print 'Number of possible phases = %d'%n
- abc('w %s_savetemp.aig'%f_name)
- na = n_ands()
- nl = n_latches()
- ni = n_pis()
- no = n_pos()
- cost_init = (1*n_pis())+(2*n_latches())+1*n_ands()
- cost_min = cost_init
- cost = cost_init
- abc('w %s_best.aig'%f_name)
- for j in range(4):
- abc('r %s_savetemp.aig'%f_name)
- p = 2**(j+1)
- if p > n:
- break
- abc('phase -F %d'%p)
- if na == n_ands():
- break
- abc('scl;rw')
- if n_latches() > nl: #why would this ever happen
- break
- #print_circuit_stats()
- abc('rw;lcorr;trm')
- #print_circuit_stats()
- cost = (1*n_pis())+(2*n_latches())+1*n_ands()
- if cost < cost_min:
- cost_min = cost
- abc('w %s_best.aig'%f_name)
- else:
- break
- if cost < cost_init:
- abc('r %s_best.aig'%f_name)
- simplify()
- abc('trm')
- print 'Phase abstraction obtained :',
- print_circuit_stats()
- return
- abc('r %s_savetemp.aig'%f_name)
- return
-
-def try_forward():
- """Attempts most forward retiming, and latch correspondence there. If attempt fails to help simplify, then we revert back to the original design
- This can be effective for equivalence checking problems where synthesis used retiming"""
- abc('w %s_savetemp.aig'%f_name)
- if n_ands() < 30000:
- abc('dr')
- abc('lcorr')
- nl = n_latches()
- na = n_ands()
- abc('w %s_savetemp0.aig'%f_name)
- abc('r %s_savetemp.aig'%f_name)
- abc('dr -m')
- abc('lcorr')
- abc('dr')
- if ((n_latches() <= nl) and (n_ands() < na)):
- print 'Forward retiming reduced size to: ',
- print_circuit_stats()
- return
- else:
- abc('r %s_savetemp0.aig'%f_name)
- return
- return
-
-def quick_simp():
- """A few quick ways to simplify a problem before more expensive methods are applied.
- Uses & commands if problem is large. These commands use the new circuit based SAT solver"""
- na = n_ands()
- if na < 30000:
- abc('scl;rw')
- elif na < 80000:
- abc('&get;&scl;&put;rw')
-
-def scorr_constr():
- """Extracts implicit constraints and uses them in signal correspondence
- Constraints that are found are folded back when done"""
- na = max(1,n_ands())
- if ((na > 40000) or n_pos()>1):
- return Undecided_no_reduction
- f = 40000/na
- f = min(f,16)
- n_pos_before = n_pos()
- f = 1 #temporary until bug fixed.
- abc('w %s_savetemp.aig'%f_name)
- if n_ands() < 3000:
- cmd = 'unfold -a -F 2'
- else:
- cmd = 'unfold'
- abc(cmd)
- if ((n_ands() > na) or (n_pos() == n_pos_before)):
- abc('r %s_savetemp.aig'%f_name)
- return Undecided_no_reduction
- print_circuit_stats()
- print 'Number of constraints = %d'%(n_pos() - n_pos_before)
- abc('scorr -c -F %d'%f)
- abc('fold')
- return Undecided_no_reduction
-
-def process_status(status):
- """ if there are no FF, the problem is combinational and we still have to check if UNSAT"""
- if n_latches() == 0:
- return check_sat()
- return status
-
-def input_x_factor():
- """Sets the global x_factor according to user input"""
- global x_factor, xfi
- print 'Type in x_factor:',
- xfi = x_factor = input()
- print 'x_factor set to %f'%x_factor
-
-def prove(a):
- """Proves all the outputs together. If ever an abstraction was done then if SAT is returned,
- we make RESULT return "undecided".
- If a == 1 do not run speculate"""
- global x_factor,xfi,f_name
- x = time.clock()
- max_bmc = -1
- K = 0
- print 'Initial: ',
- print_circuit_stats()
- x_factor = xfi
- print 'x_factor = %f'%x_factor
- print '\n***Running pre_simp'
- set_globals()
- if n_latches() > 0:
- status = pre_simp()
- else:
- status = check_sat()
- if ((status <= Unsat) or (n_latches() == 0)):
- print 'Time for proof = %f sec.'%(time.clock() - x)
- return RESULT[status]
- if n_ands() == 0:
- #abc('bmc3 -T 2')
- abc('&get;,bmc -vt=2')
- if is_sat():
- return 'SAT'
- abc('trm')
- write_file('smp')
- abc('w %s_backup_%d.aig'%(initial_f_name,K))
- K = K +1
- set_globals()
-## if ((n_ands() < 30000) and (a == 1) and (n_latches() < 300)):
- if ((n_ands() < 30000) and (n_latches() < 300)):
- print '\n***Running quick_verify'
- status = quick_verify(0)
- if status <= Unsat:
- if not status == Unsat:
- print 'CEX in frame %d'%cex_frame()
- print 'Time for proof = %f sec.'%(time.clock() - x)
- return RESULT[status]
- if n_ands() == 0:
- #abc('bmc3 -T 2')
- abc('&get;,bmc -vt=2')
- if is_sat():
- return 'SAT'
- print'\n***Running abstract'
- nl_b = n_latches()
- status = abstract()
- abc('trm')
- write_file('abs')
- status = process_status(status)
- if ((status <= Unsat) or status == Error):
- if status < Unsat:
- print 'CEX in frame %d'%cex_frame()
-## status = final_verify_recur(K)
-## write_file('final')
- print 'Time for proof = %f sec.'%(time.clock() - x)
- return RESULT[status]
- print 'Time for proof = %f sec.'%(time.clock() - x)
- return RESULT[status]
- abc('w %s_backup_%d.aig'%(initial_f_name,K))
- K = K +1
- if ((n_ands() > 20000) or (a == 1)):
- print 'Speculation skipped because either too large or already done'
- K = 2
- elif n_ands() == 0:
- print 'Speculation skipped because no AND nodes'
- K = 2
- else:
- print '\n***Running speculate'
- status = speculate()
- abc('trm')
- write_file('spec')
- status = process_status(status)
- if status == Unsat:
- print 'Time for proof = %f sec.'%(time.clock() - x)
- return RESULT[status]
- if ((status < Unsat) or (status == Error)):
- print 'CEX in frame %d'%cex_frame()
- K = K-1 #if spec found a true cex, then result of abstract was wrong
- else:
- abc('w %s_backup_%d.aig'%(initial_f_name,K))
- K = K +1
- status = final_verify_recur(K)
- abc('trm')
- write_file('final')
- print 'Time for proof = %f sec.'%(time.clock() - x)
- return RESULT[status]
-
-def prove_g_pos(a):
- """Proves the outputs clustered by a parameter a.
- a is the disallowed increase in latch support Clusters must be contiguous
- If a = 0 then outputs are proved individually. Clustering is done from last to first
- Output 0 is attempted to be proved inductively using other outputs as constraints.
- Proved outputs are removed if all the outputs have not been proved.
- If ever one of the proofs returns SAT, we stop and do not try any other outputs."""
- global f_name, max_bmc,x_factor
- x = time.clock()
- #input_x_factor()
- init_f_name = f_name
- #fast_int(1)
- print 'Beginning prove_g_pos'
- prove_all_ind()
- print 'Number of outputs reduced to %d by induction and fast interpolation'%n_pos()
- print '\n************Running second level prove****************\n'
- try_rpm()
- result = prove(1) # 1 here means do not try speculate.
- #result = prove_0_ind()
- if result == 'UNSAT':
- print 'Second prove returned UNSAT'
- return result
- if result == 'SAT':
- print 'CEX found'
- return result
- print '\n********** Proving each output separately ************'
- prove_all_ind()
- print 'Number of outputs reduced to %d by induction and fast interpolation'%n_pos()
- f_name = init_f_name
- abc('w %s_osavetemp.aig'%f_name)
- n = n_pos()
- print 'Number of outputs = %d'%n
- #count = 0
- pos_proved = []
- J = 0
- jnext = n-1
- while jnext >= 0:
- max_bmc = -1
- f_name = init_f_name
- abc('r %s_osavetemp.aig'%f_name)
- #Do in reverse order
- jnext_old = jnext
- if a == 0: # do not group
- extract(jnext,jnext)
- jnext = jnext -1
- else:
- jnext = group(a,jnext)
- if jnext_old > jnext+1:
- print '\nProving outputs [%d-%d]'%(jnext + 1,jnext_old)
- else:
- print '\nProving output %d'%(jnext_old)
- #ps()
- #fast_int(1)
- f_name = f_name + '_%d'%jnext_old
- result = prove_1()
- if result == 'UNSAT':
- if jnext_old > jnext+1:
- print '\n******** PROVED OUTPUTS [%d-%d] ******** \n\n'%(jnext+1,jnext_old)
- else:
- print '\n******** PROVED OUTPUT %d ******** \n\n'%(jnext_old)
- pos_proved = pos_proved + range(jnext +1,jnext_old+1)
- continue
- if result == 'SAT':
- print 'One of output in (%d to %d) is SAT'%(jnext + 1,jnext_old)
- return result
- else:
- print '\n******** UNDECIDED on OUTPUTS %d thru %d ******** \n\n'%(jnext+1,jnext_old)
- f_name = init_f_name
- abc('r %s_osavetemp.aig'%f_name)
- if not len(pos_proved) == n:
- print 'Eliminating %d proved outputs'%(len(pos_proved))
- remove(pos_proved)
- abc('trm')
- write_file('group')
- result = 'UNDECIDED'
- else:
- print 'Proved all outputs. The problem is proved UNSAT'
- result = 'UNSAT'
- print 'Total time for prove_g_pos = %f sec.'%(time.clock() - x)
- return result
-
-def prove_pos():
- """
- Proved outputs are removed if all the outputs have not been proved.
- If ever one of the proofs returns SAT, we stop and do not try any other outputs."""
- global f_name, max_bmc,x_factor
- x = time.clock()
- #input_x_factor()
- init_f_name = f_name
- #fast_int(1)
- print 'Beginning prove_pos'
- prove_all_ind()
- print 'Number of outputs reduced to %d by induction and fast interpolation'%n_pos()
- print '\n********** Proving each output separately ************'
- f_name = init_f_name
- abc('w %s_osavetemp.aig'%f_name)
- n = n_pos()
- print 'Number of outputs = %d'%n
- #count = 0
- pos_proved = []
- pos_disproved = []
- J = 0
- jnext = n-1
- while jnext >= 0:
- max_bmc = -1
- f_name = init_f_name
- abc('r %s_osavetemp.aig'%f_name)
- #Do in reverse order
- jnext_old = jnext
- extract(jnext,jnext)
- jnext = jnext -1
- print '\nProving output %d'%(jnext_old)
- f_name = f_name + '_%d'%jnext_old
- result = prove_1()
- if result == 'UNSAT':
- print '\n******** PROVED OUTPUT %d ******** \n\n'%(jnext_old)
- pos_proved = pos_proved + range(jnext +1,jnext_old+1)
- continue
- if result == 'SAT':
- print '\n******** DISPROVED OUTPUT %d ******** \n\n'%(jnext_old)
- pos_disproved = pos_disproved + range(jnext +1,jnext_old+1)
- continue
- else:
- print '\n******** UNDECIDED on OUTPUT %d ******** \n\n'%(jnext_old)
- f_name = init_f_name
- abc('r %s_osavetemp.aig'%f_name)
- list = pos_proved + pos_disproved
- print 'Proved the following outputs: %s'%pos_proved
- print 'Disproved the following outputs: %s'%pos_disproved
- if not len(list) == n:
- print 'Eliminating %d resolved outputs'%(len(list))
- remove(list)
- abc('trm')
- write_file('group')
- result = 'UNRESOLVED'
- else:
- print 'Proved or disproved all outputs. The problem is proved RESOLVED'
- result = 'RESOLVED'
- print 'Total time for prove_pos = %f sec.'%(time.clock() - x)
- return result
-
-
-def prove_g_pos_split():
- """like prove_g_pos but quits when any output is undecided"""
- global f_name, max_bmc,x_factor
- x = time.clock()
- #input_x_factor()
- init_f_name = f_name
- #fast_int(1)
- print 'Beginning prove_g_pos_split'
- prove_all_ind()
- print 'Number of outputs reduced to %d by induction and fast interpolation'%n_pos()
- try_rpm()
- print '\n********** Proving each output separately ************'
- f_name = init_f_name
- abc('w %s_osavetemp.aig'%f_name)
- n = n_pos()
- print 'Number of outputs = %d'%n
- pos_proved = []
- J = 0
- jnext = n-1
- while jnext >= 0:
- max_bmc = -1
- f_name = init_f_name
- abc('r %s_osavetemp.aig'%f_name)
- jnext_old = jnext
- extract(jnext,jnext)
- jnext = jnext -1
- print '\nProving output %d'%(jnext_old)
- f_name = f_name + '_%d'%jnext_old
- result = prove_1()
- if result == 'UNSAT':
- if jnext_old > jnext+1:
- print '\n******** PROVED OUTPUTS [%d-%d] ******** \n\n'%(jnext+1,jnext_old)
- else:
- print '\n******** PROVED OUTPUT %d ******** \n\n'%(jnext_old)
- pos_proved = pos_proved + range(jnext +1,jnext_old+1)
- continue
- if result == 'SAT':
- print 'One of output in (%d to %d) is SAT'%(jnext + 1,jnext_old)
- return result
- else:
- print '\n******** UNDECIDED on OUTPUTS %d thru %d ******** \n\n'%(jnext+1,jnext_old)
- print 'Eliminating %d proved outputs'%(len(pos_proved))
- # remove outputs proved and return
- f_name = init_f_name
- abc('r %s_osavetemp.aig'%f_name)
- remove(pos_proved)
- abc('trm')
- write_file('group')
- return 'UNDECIDED'
- f_name = init_f_name
- abc('r %s_osavetemp.aig'%f_name)
- if not len(pos_proved) == n:
- print 'Eliminating %d proved outputs'%(len(pos_proved))
- remove(pos_proved)
- abc('trm')
- write_file('group')
- result = 'UNDECIDED'
- else:
- print 'Proved all outputs. The problem is proved UNSAT'
- result = 'UNSAT'
- print 'Total time = %f sec.'%(time.clock() - x)
- return result
-
-
-
-def group(a,n):
- """Groups together outputs beginning at output n and any contiguous preceeding output
- that does not increase the latch support by a or more"""
- global f_name, max_bmc
- nlt = n_latches()
- extract(n,n)
- nli = n_latches()
- if n == 0:
- return n-1
- for J in range(1,n+1):
- abc('r %s_osavetemp.aig'%f_name)
- j = n-J
- #print 'Running %d to %d'%(j,n)
- extract(j,n)
- #print 'n_latches = %d'%n_latches()
- #if n_latches() >= nli + (nlt - nli)/2:
- if n_latches() == nli:
- continue
- if n_latches() > nli+a:
- break
- abc('r %s_osavetemp.aig'%f_name)
-## if j == 1:
-## j = j-1
- print 'extracting [%d-%d]'%(j,n)
- extract(j,n)
- ps()
- return j-1
-
-def extract(n1,n2):
- """Extracts outputs n1 through n2"""
- no = n_pos()
- if n2 > no:
- return 'range exceeds number of POs'
- abc('cone -s -O %d -R %d'%(n1, 1+n2-n1))
- abc('scl')
-
-def prove_0_ind():
- """Uses all other outputs as constraints to try to prove output 0 by induction"""
- abc('w %s_osavetemp.aig'%f_name)
- #ps()
- abc('constr -N %d'%(n_pos()-1))
- #ps()
- abc('fold')
- #ps()
- abc('ind -u -C 1000000 -F 20')
- status = get_status()
- abc('r %s_osavetemp.aig'%f_name)
- return status
-
-def remove(list):
- """Removes outputs in list"""
- zero(list)
- abc('&get;&trim;&put')
- #fast_int(1)
-
-def zero(list):
- """Zeros out POs in list"""
- for j in list:
- run_command('zeropo -N %d'%j)
-
-def sp():
- """Alias for super_prove"""
- print 'Executing super_prove'
- result = super_prove()
- return result
-
-def super_prove():
- """Main proof technique now. Does original prove and if after speculation there are multiple output left
- if will try to prove each output separately, in reverse order. It will quit at the first output that fails
- to be proved, or any output that is proved SAT"""
- global max_bmc, init_initial_f_name, initial_f_name
- init_initial_f_name = initial_f_name
- if x_factor > 1:
- print 'x_factor = %d'%x_factor
- input_x_factor()
- max_bmc = -1
- x = time.clock()
- print "Trying BMC for 2 sec."
- abc("&get; ,bmc -vt=2")
- if is_sat():
- print 'Total time taken by super_prove = %f sec.'%(time.clock() - x)
- return 'SAT'
- result = prove(0)
- if ((result[:3] == 'UND') and (n_latches() == 0)):
- return result
- k = 1
- print result
- if not result[:3] == 'UND':
- print 'Total time taken by super_prove = %f sec.'%(time.clock() - x)
- return result
- if n_pos() > 1:
- result = prove_g_pos(0)
- print result
- if result == 'UNSAT':
- print 'Total time taken by super_prove = %f sec.'%(time.clock() - x)
- return result
- if result == 'SAT':
- k = 0 #Don't try to prove UNSAT on an abstraction that had SAT
- # should go back to backup 1 since probably spec was bad.
- y = time.clock()
- result = BMC_VER_result(k)
- print 'Total time taken by last gasp verification = %f sec.'%(time.clock() - y)
- print 'Total time for %s = %f sec.'%(init_initial_f_name,(time.clock() - x))
- return result
-
-def reachm(t):
- x = time.clock()
- run_command('&get;&reach -vcs -T %d;&put'%t)
- print 'Time = %f'%(time.clock() - x)
-
-def reachx(t):
- x = time.clock()
- run_command('reachx -t %d'%t)
- print 'Time = %f'%(time.clock() - x)
-
-def BMC_VER_result(n):
- global init_initial_f_name
- #print init_initial_f_name
- xt = time.clock()
- result = 5
- T = 150
- if n == 0:
- abc('r %s_smp.aig'%init_initial_f_name)
- print '\n***Running proof on initial simplified circuit\n',
- ps()
- else:
- print '\n***Running proof on final unproved circuit'
- ps()
- print ' Running PDR for %d sec'%T
- abc('&get;,pdr -vt=%d'%(T*.8))
- result = get_status()
- if result == Unsat:
- return 'UNSAT'
- if result > Unsat: #still undefined
- if (n_pis()+n_latches() < 250):
- print ' Running Reachability for 150 sec.'
- abc('reachx -t 150')
- #run_command('&get;&reach -vcs -T %d'%T)
- result = get_status()
- if result == Unsat:
- return 'UNSAT'
- if ((result > Unsat) and n ==1):
- print ' Running interpolation for %f sec.'%T
- abc(',imc -vt=%f'%T)
- result = get_status()
- if result == Unsat:
- return 'UNSAT'
- # if n=1 we are trying to prove result on abstracted circuit. If still undefined, then probably does
- # not make sense to try pdr, reach, int on original simplified circuit, only BMC here.
- if n == 1:
- abc('r %s_smp.aig'%init_initial_f_name) #check if the initial circuit was SAT
- #print 'Reading %s_smp'%init_initial_f_name,
- #run_command('bmc3 -v -T %d -F 200000 -C 1000000'%T)
- print '***Running BMC on initial simplified circuit'
- ps()
- print '\n'
- abc('&get;,bmc -vt=%f'%T)
- result = get_status()
- if result < Unsat:
- result = 'SAT'
- print ' CEX found in frame %d'%cex_frame()
- else:
- result = 'UNDECIDED'
- print 'Additional time taken by BMC/PDR/Reach = %f sec.'%(time.clock() - xt)
- return result
-
-def try_split():
- abc('w %s_savetemp.aig'%f_name)
- na = n_ands()
- split(3)
- if n_ands()> 2*na:
- abc('r %s_savetemp.aig'%f_name)
-
-
-def time_diff():
- global last_time
- new_time = time.clock()
- diff = new_time - last_time
- last_time = new_time
- result = 'Lapsed time = %.2f sec.'%diff
- return result
-
-def prove_all_ind():
- """Tries to prove output k by induction, using other outputs as constraints. If ever an output is proved
- it is set to 0 so it can't be used in proving another output to break circularity.
- Finally all zero'ed ooutputs are removed. """
- N = n_pos()
- remove_0_pos()
- print '0 valued output removal changed POs from %d to %d'%(N,n_pos())
- abc('w %s_osavetemp.aig'%f_name)
- list = range(n_pos())
- for j in list:
- #abc('r %s_osavetemp.aig'%f_name)
- abc('swappos -N %d'%j)
- remove_0_pos() #may not have to do this if constr works well with 0'ed outputs
- abc('constr -N %d'%(n_pos()-1))
- abc('fold')
- n = max(1,n_ands())
- f = max(1,min(40000/n,16))
- f = int(f)
- abc('ind -u -C 10000 -F %d'%f)
- status = get_status()
- abc('r %s_osavetemp.aig'%f_name)
- if status == Unsat:
- print '+',
- abc('zeropo -N %d'%j)
- abc('w %s_osavetemp.aig'%f_name) #if changed, store it permanently
- print '%d'%j,
- remove_0_pos()
- print '\nThe number of POs reduced from %d to %d'%(N,n_pos())
- #return status
-
-def prove_all_pdr(t):
- """Tries to prove output k by PDR. If ever an output is proved
- it is set to 0. Finally all zero'ed ooutputs are removed. """
- N = n_pos()
- remove_0_pos()
- print '0 valued output removal changed POs from %d to %d'%(N,n_pos())
- abc('w %s_osavetemp.aig'%f_name)
- list = range(n_pos())
- for j in list:
- #abc('r %s_osavetemp.aig'%f_name)
- abc('cone -O %d -s'%j)
- abc('scl')
- abc('&get;,pdr -vt=%d'%t)
- status = get_status()
- abc('r %s_osavetemp.aig'%f_name)
- if status == Unsat:
- print '+',
- abc('zeropo -N %d'%j)
- abc('w %s_osavetemp.aig'%f_name) #if changed, store it permanently
- print '%d'%j,
- remove_0_pos()
- print '\nThe number of POs reduced from %d to %d'%(N,n_pos())
- #return status
-
-
-def remove_0_pos():
- abc('&get; &trim; &put')
-
-
-def prove_all_ind2():
- """Tries to prove output k by induction, using outputs > k as constraints. Removes proved outputs from POs."""
- abc('w %s_osavetemp.aig'%f_name)
- plist = []
- list = range(n_pos())
-## if r == 1:
-## list.reverse()
- for j in list:
- abc('r %s_osavetemp.aig'%f_name)
- extract(j,n_pos())
- abc('constr -N %d'%(n_pos()-1))
- abc('fold')
- n = max(1,n_ands())
- f = max(1,min(40000/n,16))
- f = int(f)
- abc('ind -u -C 10000 -F %d'%f)
- status = get_status()
- if status == Unsat:
- plist = plist + [j]
- print '-',
-## else:
-## status = pdr(1)
-## if status == Unsat:
-## print '+',
-## plist = plist + [j]
- print '%d'%j,
- print '\nOutputs proved = ',
- print plist
- abc('r %s_osavetemp.aig'%f_name)
- remove(plist) #remove the outputs proved
-## #the following did not work because abc command constr, allows only last set of outputs to be constraints
-## abc('w %s_osavetemp.aig'%f_name)
-## plist = []
-## list = range(n_pos())
-## list.reverse()
-## for j in list:
-## abc('r %s_osavetemp.aig'%f_name)
-## extract(j,n_pos())
-## abc('constr -N %d'%(n_pos()-1))
-## abc('fold')
-## n = max(1,n_ands())
-## f = max(1,min(40000/n,16))
-## f = int(f)
-## abc('ind -u -C 10000 -F %d'%f)
-## status = get_status()
-## if status == Unsat:
-## plist = plist + [j]
-## print '-',
-#### else:
-#### status = pdr(1)
-#### if status == Unsat:
-#### print '+',
-#### plist = plist + [j]
-## print '%d'%j,
-## print '\nOutputs proved = ',
-## print plist.reverse
-## abc('r %s_osavetemp.aig'%f_name)
-## remove(plist) #remove the outputs proved
-## return status
-
-def pdr(t):
- abc('&get; ,pdr -vt=%f'%t)
- result = get_status()
-
-def split(n):
- abc('orpos;&get')
- abc('&posplit -v -N %d;&put;dc2;trm'%n)
-
-def keep_splitting():
- for j in range(5):
- split(5+j)
- no = n_pos()
- status = prove_g_pos_split(0)
- if status <= Unsat:
- return status
- if no == n_pos():
- return Undecided
-
-def drill(n):
- run_command('&get; &reach -vcs -H 5 -S %d -T 50 -C 40'%n)
-
-def prove_1():
- """Proves all the outputs together. If ever an abstraction was done then if SAT is returned,
- we make RESULT return "undecided".
- """
- a = 1
- global x_factor,xfi,f_name
- x = time.clock()
- max_bmc = -1
- K = 0
- print 'Initial: ',
- print_circuit_stats()
- x_factor = xfi
- print 'x_factor = %f'%x_factor
- print '\n***Running pre_simp'
- set_globals()
- status = pre_simp()
- if ((status <= Unsat) or (n_latches == 0)):
- print 'Time for proof = %f sec.'%(time.clock() - x)
- return RESULT[status]
- abc('trm')
- write_file('smp')
- abc('w %s_backup_%d.aig'%(initial_f_name,K))
- K = K +1
- set_globals()
- if ((n_ands() < 30000) and (a == 1) and (n_latches() < 300)):
- print '\n***Running quick_verify'
- status = quick_verify(0)
- if status <= Unsat:
- if not status == Unsat:
- print 'CEX in frame %d'%cex_frame()
- print 'Time for proof = %f sec.'%(time.clock() - x)
- return RESULT[status]
- print'\n***Running abstract'
- nl_b = n_latches()
- status = abstract()
- abc('trm')
- write_file('abs')
- status = process_status(status)
- if ((status <= Unsat) or status == Error):
- if status < Unsat:
- print 'CEX in frame %d'%cex_frame()
- print 'Time for proof = %f sec.'%(time.clock() - x)
- return RESULT[status]
- print 'Time for proof = %f sec.'%(time.clock() - x)
- return RESULT[status]
- abc('w %s_backup_%d.aig'%(initial_f_name,K))
- status = final_verify_recur(2)
- abc('trm')
- write_file('final')
- print 'Time for proof = %f sec.'%(time.clock() - x)
- return RESULT[status]
-
-def qprove():
- global x_factor
- x = time.clock()
- x_factor = 3
- print '\n*********pre_simp**********\n'
- pre_simp()
- print '\n*********absv**********\n'
- result = absv(3,1)
- x_factor = 2
- print '\n*********absv**********\n'
- result = absv(3,1)
- print '\n*********speculate**********\n'
- result = speculate()
- if result <= Unsat:
- return RESULT[result]
- print '\n*********absv**********\n'
- result = absv(3,1)
- print '\n*********prove_pos**********\n'
- result = prove_pos()
- if result == 'UNDECIDED':
- print '\n*********BMC_VER_result**********\n'
- result = BMC_VER_result(1)
- print 'Time for proof = %f sec.'%(time.clock() - x)
- return result
-
-def pre_reduce():
- x = time.clock()
- pre_simp()
- write_file('smp')
- abstract()
- write_file('abs')
- print 'Time = %f'%(time.clock() - x)
-
-
-#PARALLEL FUNCTIONS
-""" funcs should look like
-funcs = [defer(abc)('&get;,bmc -vt=50;&put'),defer(super_prove)()]
-After this is executed funcs becomes a special list of lambda functions
-which are given to abc_split_all to be executed as in fork below.
-It has been set up so that each of the functions works on the current aig and
-possibly transforms it. The new aig and status is always read into the master when done
-
-"""
-
-def fork(funcs):
- """ runs funcs in parallel"""
- for i,res in pyabc_split.abc_split_all(funcs):
- status = prob_status()
- if not status == -1:
- print i,status
- ps()
- break
- else:
- print i,status
- ps()
- continue
- return status
-
-def handler_s(res):
- """ This serial handler returns True if the problem is solved by the first returning function,
- in which case, the problem is replaced by the new aig and status.
- """
- if not res == -1:
- #replace_prob()
- print ('UNSAT','SAT')[res]
- return True
- else:
- return False
-