[MLU] fix compile error & add mlu blacklist function.

paddle/fluid/imperative/prepared_operator.cc

@@ -149,6 +149,48 @@ PreparedOp::PreparedOp(const framework::OperatorBase& op,
       kernel_signature_(std::move(kernel_signature)),
       phi_kernel_(phi_kernel) {}
 
+#ifdef PADDLE_WITH_MLU
+
+static void tokenize(const std::string& ops,
+                     char delim,
+                     std::unordered_set<std::string>* op_set) {
+  std::string::size_type beg = 0;
+  for (uint64_t end = 0; (end = ops.find(delim, end)) != std::string::npos;
+       ++end) {
+    op_set->insert(ops.substr(beg, end - beg));
+    beg = end + 1;
+  }
+
+  op_set->insert(ops.substr(beg));
+}
+
+static bool is_in_mlu_black_list(const std::string& op_name) {
+  static bool inited = false;
+  static std::unordered_set<std::string> mlu_black_list;
+  static std::mutex s_mtx;
+  if (!inited) {
+    std::lock_guard<std::mutex> guard(s_mtx);
+    if (!inited) {
+      if (std::getenv("MLU_BLACK_LIST") != nullptr) {
+        std::string ops(std::getenv("MLU_BLACK_LIST"));
+        tokenize(ops, ',', &mlu_black_list);
+      }
+      inited = true;
+      VLOG(3) << "MLU Black List: ";
+      for (auto iter = mlu_black_list.begin(); iter != mlu_black_list.end();
+           ++iter) {
+        VLOG(3) << *iter << " ";
+      }
+    }
+  }
+  if (mlu_black_list.find(op_name) != mlu_black_list.end()) {
+    return true;
+  }
+  return false;
+}
+
+#endif
+
 template <typename VarType>
 PreparedOp PrepareImpl(
     const NameVarMap<VarType>& ins,
@@ -212,6 +254,12 @@ PreparedOp PrepareImpl(
       paddle::platform::is_in_xpu_black_list(op.Type());
 #endif
 
+#ifdef PADDLE_WITH_MLU
+  if (is_in_mlu_black_list(op.Type())) {
+    expected_kernel_key.place_ = platform::CPUPlace();
+  }
+#endif
+
   bool has_phi_kernel = false;
 
   const auto* arg_map_fn = phi_op_utils_map.GetArgumentMappingFn(op.Type());

paddle/fluid/operators/strided_slice_op_mlu.cc

@@ -20,7 +20,7 @@ limitations under the License. */
 namespace paddle {
 namespace operators {
 
-using Tensor = framework::Tensor;
+using Tensor = phi::DenseTensor;
 using Variable = framework::Variable;
 using LoDTensorArray = framework::LoDTensorArray;
 using DDim = framework::DDim;