fix(mgb): fix fastrun no_profiling_on_shape_change

GitOrigin-RevId: 2735536424

src/opr/impl/search_policy/algo_chooser.cpp

@@ -523,6 +523,15 @@ AlgoChooser<Opr>::AlgoChooserHelper::AlgoChooserHelper(
                                  fastrun_batch_size);
     }
 
+    if (owner_graph()->options().no_profiling_on_shape_change) {
+        for (size_t i = 0; i < m_incache_layouts.size(); i++) {
+            for (size_t j = 0; j < m_incache_layouts.at(i).ndim; j++) {
+                m_incache_layouts.at(i)[j] = 0;
+                m_incache_layouts.at(i).stride[j] = 0;
+            }
+        }
+    }
+
     mgb_assert(m_fastrun_layouts.size() == layouts.size());
 
     static_assert(
@@ -582,12 +591,6 @@ AlgoChooser<Opr>::AlgoChooserHelper::choose_by_profile(
         if (policy.algo.valid()) {
             return policy;
         }
-        if (is_matmul<Opr>()) {
-            mgb_log_warn(
-                    "choose algo by heuristic, which may cause performance "
-                    "regression.");
-            return choose_by_heuristic(selected_strategy);
-        }
     }
 
     typename AlgoChooser<Opr>::ImplExecutionPolicy tmp_policy;
@@ -1027,6 +1030,7 @@ AlgoChooser<Opr>::AlgoChooserHelper::extract_algo_attribute(
     }
 
     //! from graph option
+    // FIXME: no_profiling_on_shape_change extract USABLE_DEPEND_ON_SHAPE attribute when fixed usable
     if (owner_graph()->options().fast_run_config.shared_batch_size) {
         ret.second |= AlgoAttribute::USABLE_DEPEND_ON_SHAPE;
     }

src/opr/include/megbrain/opr/search_policy/profiler.h

@@ -58,13 +58,6 @@ constexpr bool opr_contain_bias() {
     return std::is_same<Opr, megdnn::ConvBias>::value;
 }
 
-//! matmul and batchedMatrixMul
-template <typename Opr>
-constexpr bool is_matmul() {
-    return std::is_same<Opr, megdnn::MatrixMul>::value ||
-             std::is_same<Opr, megdnn::BatchedMatrixMul>::value;
-}
-
 template <typename Opr, bool has_prep>
 struct PreprocessFilterImpl {
     using T = union {};

src/opr/test/algo_chooser.cpp

@@ -296,6 +296,55 @@ TEST(TestOprDNN, FastrunIgnoreBatchSizeBatchedMatrixMul) {
             {TensorShape{4, 6, 8}, TensorShape{4, 8, 4}});
 }
 
+template <typename MgbOpr>
+void test_no_profiling_on_shape_change(const TensorShapeArray& inps0,
+                                       const TensorShapeArray& inps1) {
+    using Policy = typename MgbOpr::ExecutionPolicy;
+
+    int nr_set = 0;
+    auto on_get = [](const std::string&, const void*, size_t, const void*,
+                     size_t) {};
+    auto on_set = [&nr_set](const std::string&, const void*, size_t,
+                            const void*, size_t) { nr_set++; };
+    PersistentCacheHook cache_hook{on_get, on_set};
+
+    auto cn = CompNode::load("xpu0");
+    auto run = [&cn](const TensorShapeArray& shapes) {
+        auto graph = ComputingGraph::make();
+        graph->options().no_profiling_on_shape_change = true;
+
+        HostTensorGenerator<> gen;
+        auto host_a = gen(shapes[0], cn);
+        auto host_b = gen(shapes[1], cn);
+        HostTensorND host_out;
+        auto a = opr::Host2DeviceCopy::make(*graph, host_a),
+             b = opr::Host2DeviceCopy::make(*graph, host_b);
+
+        Policy policy;
+        policy.strategy = Policy::Strategy::PROFILE;
+        auto out = MgbOpr::make(a, b, {}, policy, {});
+
+        std::unique_ptr<cg::AsyncExecutable> func = graph->compile({{out, {}}});
+        func->execute();
+    };
+
+    run(inps0);
+    int nr = nr_set;
+    ASSERT_GT(nr, 0);
+    run(inps1);
+    ASSERT_EQ(nr, nr_set);
+}
+
+TEST(TestOprDNN, FastrunNoProfilingOnShapeChange) {
+    REQUIRE_GPU(1);
+
+    test_no_profiling_on_shape_change<opr::Convolution>(
+            {{12, 3, 36, 36}, {4, 3, 3, 3}}, {{32, 3, 28, 28}, {4, 3, 3, 3}});
+
+    test_no_profiling_on_shape_change<opr::MatrixMul>({{20, 30}, {30, 40}},
+                                                      {{30, 40}, {40, 60}});
+}
+
 #endif // MGB_ENABLE_FASTRUN
 #endif // MGB_CUDA
 

src/opr/test/blas.cpp

@@ -916,11 +916,12 @@ TEST(TestOprBlas, MatrixMulExePolicy) {
     graph->options().no_profiling_on_shape_change = true;
     auto func = graph->compile({make_callback_copy(matmul, host_y)});
     func->execute();
-    ASSERT_EQ(nr_get, 0);
+    ASSERT_GT(nr_get, 0);
+    int nr = nr_get;
     graph->options().no_profiling_on_shape_change = false;
     func = graph->compile({make_callback_copy(matmul, host_y)});
     func->execute();
-    ASSERT_GT(nr_get, 0);
+    ASSERT_GT(nr_get, nr);
 }
 #endif