sergei-grechanik commented on a change in pull request #5618:
URL: https://github.com/apache/incubator-tvm/pull/5618#discussion_r444310282
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File path: python/tvm/testing.py
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@@ -188,5 +189,96 @@ def assert_prim_expr_equal(lhs, rhs):
raise ValueError("{} and {} are not equal".format(lhs, rhs))
+def check_bool_expr_is_true(bool_expr, vranges, cond=None):
+ """ Check that bool_expr holds given the condition cond
+ for every value of free variables from vranges.
+
+ Parameters
+ ----------
+ bool_expr : tvm.ir.expr.PrimExpr
+ Boolean expression to check
+ vranges: Dict[tvm.tir.expr.Var, tvm.ir.Range]
+ Free variables and their ranges
+ cond: tvm.ir.expr.PrimExpr
+ extra conditions needs to be satisfied.
+ """
+ if cond is not None:
+ bool_expr = tvm.te.any(tvm.tir.Not(cond), bool_expr)
+
+ def _run_expr(expr, vranges):
+ """ Evaluate expr for every value of free variables
+ given by vranges and return the tensor of results.
+ """
+ def _compute_body(*us):
+ vmap = {v: u + r.min for (v, r), u in zip(vranges.items(), us)}
+ return tvm.tir.stmt_functor.substitute(expr, vmap)
+
+ A = tvm.te.compute([r.extent.value for v, r in vranges.items()],
_compute_body)
+ args = [tvm.nd.empty(A.shape, A.dtype)]
+ sch = tvm.te.create_schedule(A.op)
+ mod = tvm.build(sch, [A])
+ mod(*args)
+ return args[0].asnumpy()
+
+ 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])
+ ana = tvm.arith.Analyzer()
+ raise AssertionError("Expression {}\nis not true on {}\n"
+ "Counterexample: {}"
+ .format(ana.simplify(bool_expr), vranges,
counterex))
+
+
+def check_int_constraints_trans_consistency(constraints_trans, vranges=None):
+ """ Check IntConstraintsTransform is a bijective transformation.
+
+ Parameters
+ ----------
+ constraints_trans : arith.IntConstraintsTransform
+ Integer constraints transformation
+ vranges: Dict[tvm.tir.expr.Var, tvm.ir.Range]
+ Free variables and their ranges
+ """
+ if vranges is None:
+ vranges = {}
+
+ def _check_forward(constraints1, constraints2, varmap, backvarmap):
+ ana = tvm.arith.Analyzer()
+ all_vranges = vranges.copy()
+ all_vranges.update({v: r for v, r in constraints1.ranges.items()})
+
+ # Check that the transformation is injective
+ cond_on_vars = tvm.tir.const(1, 'bool')
+ for v in constraints1.variables:
+ # variable mapping is consistent
+ v_back = ana.simplify(tvm.tir.stmt_functor.substitute(varmap[v],
backvarmap))
+ cond_on_vars = tvm.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 = tvm.tir.stmt_functor.substitute(
+ tvm.te.all(tvm.tir.const(1, 'bool'), *constraints2.relations),
backvarmap)
+ # We have to include relations from vranges too
+ for v in constraints2.variables:
+ if v in constraints2.ranges:
+ r = constraints2.ranges[v]
+ range_cond = tvm.te.all(v >= r.min, v < r.min + r.extent)
+ range_cond = tvm.tir.stmt_functor.substitute(range_cond,
backvarmap)
+ cond_subst = tvm.te.all(cond_subst, range_cond)
+ cond_subst = ana.simplify(cond_subst)
+ check_bool_expr_is_true(
+ tvm.te.all(cond_subst, cond_on_vars), all_vranges,
+ cond=tvm.te.all(tvm.tir.const(1, 'bool'), *constraints1.relations))
+
+ rels = constraints_trans.dst.relations
+ if len(rels) == 1 and tvm.ir.structural_equal(rels[0], False):
+ # not solvable, skip
Review comment:
You can check that the original constraints are false for all values of
the variables. I would remove this check completely, I think _check_forward
should do what is needed automatically or with some minor changes.
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