lint

apache · Jan 25, 2021 · 455f3ff · 455f3ff
1 parent 56eb07d
commit 455f3ff
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Showing 2 changed files with 1 addition and 33 deletions.
diff --git a/src/arith/solve_linear_equation.cc b/src/arith/solve_linear_equation.cc
@@ -427,7 +427,7 @@ IntConstraintsTransform SolveLinearEquations(const IntConstraints& system_to_sol
 
   // We have to transform ranges of the old variables into relations over new variables because
   // new ranges are not enough usually.
-  for (const auto& old_var: system_to_solve->variables) {
+  for (const auto& old_var : system_to_solve->variables) {
     if (system_to_solve->ranges.find(old_var) != system_to_solve->ranges.end()) {
       const Range& old_range = system_to_solve->ranges.at(old_var);
       PrimExpr express_by_new_vars = old_to_new_map.at(old_var);
@@ -442,22 +442,6 @@ IntConstraintsTransform SolveLinearEquations(const IntConstraints& system_to_sol
       }
     }
   }
-  // for (const auto& p : system_to_solve->ranges) {
-  //   const Var& old_var = p.first;
-  //   const Range& old_range = p.second;
-  //   if (old_to_new_map.count(old_var)) {
-  //     PrimExpr express_by_new_vars = old_to_new_map[old_var];
-  //     PrimExpr lower_cond = analyzer_solution.Simplify(old_range->min <= express_by_new_vars);
-  //     PrimExpr upper_cond =
-  //         analyzer_solution.Simplify(express_by_new_vars < old_range->min + old_range->extent);
-  //     if (!tir::is_const_int(lower_cond, 1)) {
-  //       new_relations.push_back(lower_cond);
-  //     }
-  //     if (!tir::is_const_int(upper_cond, 1)) {
-  //       new_relations.push_back(upper_cond);
-  //     }
-  //   }
-  // }
 
   // Add the rest conditions
   for (const PrimExpr& cond : rest) {

diff --git a/tests/python/unittest/test_te_autodiff.py b/tests/python/unittest/test_te_autodiff.py
@@ -343,23 +343,7 @@ def test_reduction_init():
     check_grad(B, A0)
 
 
-def test_stable():
-    X = te.placeholder((32, 512, 16, 16), name="X")
-    W = te.placeholder((1024, 512, 1, 1), name="W")
-    strides, padding, dilation = 2, 0, 1
-    R = topi.nn.conv2d(X, W, strides, padding, dilation)
-    ones = topi.full_like(R, 1.0)
-    grads = te.gradient(R, [X], head=ones)
-    dag = tvm.auto_scheduler.ComputeDAG(grads)
-    repeat = 100
-    for i in range(repeat):
-        grads = te.gradient(R, [X], head=ones)
-        new_dag = tvm.auto_scheduler.ComputeDAG(grads)
-        assert str(dag) == str(new_dag)
-
-
 if __name__ == "__main__":
     test_basic_operation()
     test_topi()
     test_stride_dilation()
-    test_stable()