diff --git a/paddle/fluid/operators/fc_op.cc b/paddle/fluid/operators/fc_op.cc
index 033eca967ac34929de26f09132af6188f3d38cfe..242f5390b806756283686dae2e2c32b93c2bd71e 100644
--- a/paddle/fluid/operators/fc_op.cc
+++ b/paddle/fluid/operators/fc_op.cc
@@ -119,11 +119,8 @@ void FCOpMaker::Make() {
   AddAttr<bool>("use_mkldnn",
                 "(bool, default false) Only used in mkldnn kernel")
       .SetDefault(false);
-  AddAttr<bool>(
-      framework::kAllKernelsMustComputeRuntimeShape,
-      "If an Op has this attribute, all its kernels should calculate output"
-      "variable's shape in the corresponding Compute() function. Note that "
-      "this temporal attribute would be deleted after all ops contain it.")
+  AddAttr<bool>(framework::kAllKernelsMustComputeRuntimeShape,
+                "Skip calling InferShape() function in the runtime.")
       .SetDefault(true);
   AddComment(R"DOC(
   Fully Connected Operator.
@@ -140,8 +137,8 @@ class FCOpKernel : public framework::OpKernel<T> {
     PADDLE_ENFORCE(platform::is_cpu_place(ctx.GetPlace()),
                    "It must use CPUPlace.");
     auto input = ctx.Input<framework::LoDTensor>("Input");
-    auto w = ctx.Input<framework::LoDTensor>("W");
-    auto bias = ctx.Input<framework::LoDTensor>("Bias");
+    auto w = ctx.Input<Tensor>("W");
+    auto bias = ctx.Input<Tensor>("Bias");
     auto output = ctx.Output<framework::LoDTensor>("Out");
     int in_num_col_dims = ctx.Attr<int>("in_num_col_dims");
     auto w_dims = w->dims();
diff --git a/paddle/fluid/operators/fused/fused_embedding_seq_pool_op.cc b/paddle/fluid/operators/fused/fused_embedding_seq_pool_op.cc
index 40a411985c1af4dad48254c37bbf5fc2d32f1c76..ecb89184990b6f6295a104b2adc96875b5d15fd6 100644
--- a/paddle/fluid/operators/fused/fused_embedding_seq_pool_op.cc
+++ b/paddle/fluid/operators/fused/fused_embedding_seq_pool_op.cc
@@ -88,11 +88,8 @@ class FusedEmbeddingSeqPoolOpMaker : public framework::OpProtoAndCheckerMaker {
                   "(boolean, default false) "
                   "Sparse update.")
         .SetDefault(false);
-    AddAttr<bool>(
-        framework::kAllKernelsMustComputeRuntimeShape,
-        "If an Op has this attribute, all its kernels should calculate output"
-        "variable's shape in the corresponding Compute() function. Note that "
-        "this temporal attribute would be deleted after all ops contain it.")
+    AddAttr<bool>(framework::kAllKernelsMustComputeRuntimeShape,
+                  "Skip calling InferShape() function in the runtime.")
         .SetDefault(true);
     AddComment(R"DOC(
 FusedEmbeddingSeqPool Operator.
diff --git a/paddle/fluid/operators/hash_op.cc b/paddle/fluid/operators/hash_op.cc
index 4deee8b4336dfe4937dca9b41b275dfb14555730..82222d0a7e739e15a779541c14576ce2de24a3d2 100644
--- a/paddle/fluid/operators/hash_op.cc
+++ b/paddle/fluid/operators/hash_op.cc
@@ -54,11 +54,8 @@ $$Out = scale * X$$
 )DOC");
     AddAttr<int>("num_hash", "").SetDefault(1);
     AddAttr<int>("mod_by", "").SetDefault(100000);
-    AddAttr<bool>(
-        framework::kAllKernelsMustComputeRuntimeShape,
-        "If an Op has this attribute, all its kernels should calculate output"
-        "variable's shape in the corresponding Compute() function. Note that "
-        "this temporal attribute would be deleted after all ops contain it.")
+    AddAttr<bool>(framework::kAllKernelsMustComputeRuntimeShape,
+                  "Skip calling InferShape() function in the runtime.")
         .SetDefault(true);
   }
 };
diff --git a/paddle/fluid/operators/mkldnn/fc_mkldnn_op.cc b/paddle/fluid/operators/mkldnn/fc_mkldnn_op.cc
index 2bdf146f4dd575b167f94a596ad171a9a584e38b..69c0486eb63475d759b6869f55d14ef1bec08b59 100644
--- a/paddle/fluid/operators/mkldnn/fc_mkldnn_op.cc
+++ b/paddle/fluid/operators/mkldnn/fc_mkldnn_op.cc
@@ -124,8 +124,8 @@ class FCMKLDNNOpKernel : public paddle::framework::OpKernel<T> {
     const auto& mkldnn_engine = dev_ctx.GetEngine();
 
     auto input = ctx.Input<framework::LoDTensor>("Input");
-    auto w = ctx.Input<framework::LoDTensor>("W");
-    auto bias = ctx.Input<framework::LoDTensor>("Bias");
+    auto w = ctx.Input<Tensor>("W");
+    auto bias = ctx.Input<Tensor>("Bias");
 
     PADDLE_ENFORCE(input->dims().size() == 2 || input->dims().size() == 4,
                    "Input must be with 2 or 4 dimensions, i.e. NCHW");
diff --git a/paddle/fluid/operators/sequence_ops/sequence_enumerate_op.cc b/paddle/fluid/operators/sequence_ops/sequence_enumerate_op.cc
index 75bcd3c47f4ae0e599a9efc6fa659390ffd1dbbf..f5d6060bc365ad5d252127d1e6806ae7f06f93f6 100644
--- a/paddle/fluid/operators/sequence_ops/sequence_enumerate_op.cc
+++ b/paddle/fluid/operators/sequence_ops/sequence_enumerate_op.cc
@@ -59,11 +59,8 @@ class SequenceEnumerateOpMaker : public framework::OpProtoAndCheckerMaker {
         });
     AddAttr<int>("pad_value", "(int) The enumerate sequence padding value.")
         .SetDefault(0);
-    AddAttr<bool>(
-        framework::kAllKernelsMustComputeRuntimeShape,
-        "If an Op has this attribute, all its kernels should calculate output"
-        "variable's shape in the corresponding Compute() function. Note that "
-        "this temporal attribute would be deleted after all ops contain it.")
+    AddAttr<bool>(framework::kAllKernelsMustComputeRuntimeShape,
+                  "Skip calling InferShape() function in the runtime.")
         .SetDefault(true);
     AddComment(R"DOC(
 Sequence Enumerate Operator.