sergei-grechanik commented on a change in pull request #5171: [Arith] linear 
system and equation solver
URL: https://github.com/apache/incubator-tvm/pull/5171#discussion_r405204662
 
 

 ##########
 File path: tests/python/unittest/test_arith_solve_linear_system.py
 ##########
 @@ -14,9 +14,130 @@
 # KIND, either express or implied.  See the License for the
 # specific language governing permissions and limitations
 # under the License.
+import random
+import numpy as np
 import tvm
-from tvm import te, arith
-from tvm.tir import ir_pass
+from tvm import te, arith, ir, tir
+
+
+def run_expr(expr, vranges):
+    def _compute_body(*us):
+        vmap = {v: u + r.min for (v, r), u in zip(vranges.items(), us)}
+        return tir.ir_pass.Substitute(expr, vmap)
+
+    A = te.compute([r.extent.value for v, r in vranges.items()], _compute_body)
+    args = [tvm.nd.empty(A.shape, A.dtype)]
+    sch = te.create_schedule(A.op)
+    mod = tvm.build(sch, [A])
+    mod(*args)
+    return args[0].asnumpy()
+
+
+def check_bruteforce(bool_expr, vranges, cond=None):
+    if cond is not None:
+        bool_expr = te.any(tir.Not(cond), bool_expr)
+
+    res = run_expr(bool_expr, vranges)
+    if not np.all(res):
+        indices = list(np.argwhere(res == 0)[0])
+        counterex = [(str(v), i + r.min) for (v, r), i in zip(vranges.items(), 
indices)]
+        counterex = sorted(counterex, key=lambda x: x[0])
+        counterex = ", ".join([v + " = " + str(i) for v, i in counterex])
+        raise AssertionError("Expression {}\nis not true on {}\n"
+                             "Counterexample: {}"
+                             .format(tir.ir_pass.CanonicalSimplify(bool_expr), 
vranges, counterex))
+
+
+def check_solution(solution, vranges={}):
+    def _check_forward(formula1, formula2, varmap, backvarmap):
+        all_vranges = vranges.copy()
+        all_vranges.update({v: r for v, r in formula1.ranges.items()})
+
+        # Check that the transformation is injective
+        cond_on_vars = tir.const(1, 'bool')
+        for v in formula1.variables:
+            # variable mapping is consistent
+            v_back = tir.ir_pass.Simplify(tir.ir_pass.Substitute(varmap[v], 
backvarmap))
+            cond_on_vars = te.all(cond_on_vars, v == v_back)
+        # Also we have to check that the new relations are true when old 
relations are true
+        cond_subst = tir.ir_pass.Substitute(
+            te.all(tir.const(1, 'bool'), *formula2.relations), backvarmap)
+        # We have to include relations from vranges too
+        for v in formula2.variables:
+            if v in formula2.ranges:
+                r = formula2.ranges[v]
+                range_cond = te.all(v >= r.min, v < r.min + r.extent)
+                range_cond = tir.ir_pass.Substitute(range_cond, backvarmap)
+                cond_subst = te.all(cond_subst, range_cond)
+        cond_subst = tir.ir_pass.Simplify(cond_subst)
+        check_bruteforce(te.all(cond_subst, cond_on_vars), all_vranges,
+                         cond=te.all(tir.const(1, 'bool'), 
*formula1.relations))
+
+    rels = solution.dst.relations
+    if len(rels) == 1 and ir.structural_equal(rels[0], False):
+        # not solvable, skip
+        return
+    _check_forward(solution.src, solution.dst,
+                   solution.src_to_dst, solution.dst_to_src)
+    _check_forward(solution.dst, solution.src,
+                   solution.dst_to_src, solution.src_to_dst)
+
+
+def test_solution_consistency():
+    random.seed(0)
 
 Review comment:
   Personally, I think it is a good idea. I'm just worried that people won't 
know what to do with such failure and will just complain about flaky tests 
instead of reporting the unlucky seed. Maybe print some message like "this test 
is intentionally nondeterministic, if it fails please report it together with 
this seed"?

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