fix(mgb/topk): fix topk grad

GitOrigin-RevId: a49154ff06

src/opr/impl/misc.cpp

@@ -415,6 +415,8 @@ void TopK::record_execute_deps(ExecDependencyArray& deps) {
 
 #if MGB_ENABLE_GRAD
 MGB_IMPL_OPR_GRAD(TopK) {
+    // TopK has no gradient on the input k
+    if (wrt_idx) return nullptr;
     if (opr.param().mode == TopK::Param::Mode::KTH_ONLY) {
         mgb_assert(out_grad[0] && !out_grad[1] && !out_grad[2]);
         auto add_axis = [](SymbolVar x) {

src/opr/test/misc.cpp

@@ -416,4 +416,19 @@ TEST(TestOprMisc, TopKSortedIdxOnly) {
     MGB_ASSERT_TENSOR_EQ(host_gx, *host_y);
 }
 
+TEST(TestOprMisc, TopKGrad) {
+    HostTensorGenerator<> gen;
+    auto graph = ComputingGraph::make();
+    std::shared_ptr<HostTensorND> host_x = gen({2, 5});
+    std::shared_ptr<HostTensorND> host_k = gen({1});
+    host_k->ptr<float>()[0] = 3;
+    auto x = opr::Host2DeviceCopy::make(*graph, host_x),
+         k = opr::Host2DeviceCopy::make(*graph, host_k),
+         ki = opr::TypeCvt::make(k, dtype::Int32{}),
+         val = opr::TopK::make(x, ki,
+                               opr::TopK::Param::Mode::VALUE_IDX_SORTED)[0],
+         gk = cg::grad(opr::reduce_sum(val, val.make_scalar(1)), ki, true, false);
+    EXPECT_TRUE(gk == nullptr);
+}
+
 // vim: syntax=cpp.doxygen foldmethod=marker foldmarker=f{{{,f}}}