Fix dependency problem of reducer condition (#712) (#721)

* Make duplicated function name checker working

* Fix dependency checking problem for reducer condition (#712); add test

* Fix dependency checking problem for reducer condition (#712); add test

* Specify R to be computed inlined

.gitignore

@@ -138,6 +138,7 @@ xcuserdata/
 *.xcscmblueprint
 .DS_Store
 tags
+cscope*
 
 # vim temporary files
 *.swp

src/pass/ir_visitor.cc

@@ -134,6 +134,7 @@ DEFINE_BINOP_VISIT_(Or)
 void IRVisitor::Visit_(const Reduce* op) {
   VisitRDom(op->axis, this);
   VisitArray(op->source, this);
+  this->Visit(op->condition);
 }
 
 void IRVisitor::Visit_(const Cast* op) {

tests/python/integration/test_reduce.py

@@ -7,8 +7,9 @@ def test_reduce_prims():
         n = tvm.var('n')
         m = tvm.var('m')
         A = tvm.placeholder((n, m), name='A')
+        R = tvm.compute((n, ), lambda i: tvm.select((i > 1), 1, 0), name='R')
         k = tvm.reduce_axis((0, m))
-        B = tvm.compute((n,), lambda i: reducer(A[i, k], axis=k, where=(i>1)), name='B')
+        B = tvm.compute((n,), lambda i: reducer(A[i, k], axis=k, where=(R[i]==1)), name='B')
         # schedule
         s = tvm.create_schedule(B.op)
         # create iter var and assign them tags.
@@ -16,6 +17,7 @@ def test_reduce_prims():
         xo, xi = s[B].split(B.op.axis[0], factor=num_thread)
         s[B].bind(xo, tvm.thread_axis("blockIdx.x"))
         s[B].bind(xi, tvm.thread_axis("threadIdx.x"))
+        s[R].compute_inline()
 
         # one line to build the function.
         def check_device(device, host="stackvm"):