Fix the proformance problem of enforce

paddle/operators/concat_op.cc

@@ -25,7 +25,7 @@ class ConcatOp : public framework::OperatorWithKernel {
 
   void InferShape(framework::InferShapeContext *ctx) const override {
     PADDLE_ENFORCE_GE(ctx->Inputs("X").size(), 1UL,
-                      "Inputs(X) of ConcatOp should be empty.")
+                      "Inputs(X) of ConcatOp should be empty.");
     PADDLE_ENFORCE(ctx->HasOutput("Out"),
                    "Output(Out) of ConcatOp should not be null.");
 
@@ -45,7 +45,7 @@ class ConcatOp : public framework::OperatorWithKernel {
         }
         PADDLE_ENFORCE_EQ(out_dims[j], ins[i][j],
                           "Input tensors should have the same "
-                          "elements except the specify axis.")
+                          "elements except the specify axis.");
       }
     }
     ctx->SetOutputDim("Out", out_dims);

paddle/operators/elementwise_op.h

@@ -35,7 +35,7 @@ class ElementwiseOp : public framework::OperatorWithKernel {
     auto x_dim = ctx->GetInputDim("X");
     auto y_dim = ctx->GetInputDim("Y");
     PADDLE_ENFORCE_GE(x_dim.size(), y_dim.size(),
-                      "Rank of first input must >= rank of second input.")
+                      "Rank of first input must >= rank of second input.");
     ctx->SetOutputDim("Out", x_dim);
     ctx->ShareLoD("X", /*->*/ "Out");
   }
@@ -120,7 +120,7 @@ class ElementwiseOpGrad : public framework::OperatorWithKernel {
     auto out_dims = ctx->GetInputDim(framework::GradVarName("Out"));
 
     PADDLE_ENFORCE_GE(x_dims.size(), y_dims.size(),
-                      "Rank of first input must >= rank of second input.")
+                      "Rank of first input must >= rank of second input.");
 
     auto x_grad_name = framework::GradVarName("X");
     auto y_grad_name = framework::GradVarName("Y");

paddle/operators/elementwise_op_function.h

@@ -106,7 +106,7 @@ void ElementwiseCompute(const framework::ExecutionContext& ctx) {
   auto x_dims = x->dims();
   auto y_dims = y->dims();
   PADDLE_ENFORCE_GE(x_dims.size(), y_dims.size(),
-                    "Rank of first input must >= rank of second input.")
+                    "Rank of first input must >= rank of second input.");
 
   if (x_dims == y_dims) {
     functor f;

paddle/operators/sequence_slice_op.h

@@ -54,10 +54,10 @@ class SequenceSliceOpKernel : public framework::OpKernel<T> {
     PADDLE_ENFORCE_EQ(lod.size(), 1UL, "Only support one level sequence now.");
     PADDLE_ENFORCE_EQ(
         n, static_cast<size_t>(length->dims()[0]),
-        "The size of input-sequence and length-array should be the same")
+        "The size of input-sequence and length-array should be the same");
     PADDLE_ENFORCE_EQ(
         n, static_cast<size_t>(offset->dims()[0]),
-        "The size of input-sequence and offset-array should be the same")
+        "The size of input-sequence and offset-array should be the same");
 
     const int64_t* offset_data = offset->data<int64_t>();
     const int64_t* length_data = length->data<int64_t>();
@@ -78,11 +78,11 @@ class SequenceSliceOpKernel : public framework::OpKernel<T> {
 
     for (size_t i = 0; i < n; ++i) {
       PADDLE_ENFORCE_LT(0, offset_data[i],
-                        "The offset[%d] must greater than zero.", i)
+                        "The offset[%d] must greater than zero.", i);
       PADDLE_ENFORCE_LT(0, length_data[i],
-                        "The length[%d] must greater than zero.", i)
+                        "The length[%d] must greater than zero.", i);
       PADDLE_ENFORCE_LT(lod[0][i] + offset_data[i] + length_data[i],
-                        lod[0][i + 1], "The target tensor's length overflow.")
+                        lod[0][i + 1], "The target tensor's length overflow.");
     }
 
     out->mutable_data<T>(ctx.GetPlace());

paddle/operators/sum_op.h

@@ -84,7 +84,7 @@ class SumKernel : public framework::OpKernel<T> {
       int64_t offset = 0;
       for (int i = 0; i < N; i++) {
         PADDLE_ENFORCE_EQ(out->height(),
-                          in_vars[i]->Get<SelectedRows>().height())
+                          in_vars[i]->Get<SelectedRows>().height());
         functor(context.device_context(), in_vars[i]->Get<SelectedRows>(),
                 offset, out);
         offset += in_vars[i]->Get<SelectedRows>().value().numel();

paddle/platform/enforce.h

@@ -234,16 +234,24 @@ inline void throw_on_error(T e) {
   __PADDLE_BINARY_COMPARE(__VAL0, __VAL1, <, >=, __VA_ARGS__)
 #define PADDLE_ENFORCE_LE(__VAL0, __VAL1, ...) \
   __PADDLE_BINARY_COMPARE(__VAL0, __VAL1, <=, >, __VA_ARGS__)
-#define PADDLE_ENFORCE_NOT_NULL(__VAL, ...)                            \
-  PADDLE_ENFORCE(nullptr != (__VAL), #__VAL " should not be null\n%s", \
-                 paddle::string::Sprintf("" __VA_ARGS__));
-
-#define __PADDLE_BINARY_COMPARE(__VAL0, __VAL1, __CMP, __INV_CMP, ...)        \
-  PADDLE_ENFORCE(__VAL0 __CMP __VAL1,                                         \
-                 "enforce %s " #__CMP " %s failed, %s " #__INV_CMP " %s\n%s", \
-                 #__VAL0, #__VAL1, paddle::string::to_string(__VAL0),         \
-                 paddle::string::to_string(__VAL1),                           \
-                 paddle::string::Sprintf("" __VA_ARGS__));
+#define PADDLE_ENFORCE_NOT_NULL(__VAL, ...)                  \
+  do {                                                       \
+    if (UNLIKELY(nullptr == (__VAL))) {                      \
+      PADDLE_THROW(#__VAL " should not be null\n%s",         \
+                   paddle::string::Sprintf("" __VA_ARGS__)); \
+    }                                                        \
+  } while (0)
+
+#define __PADDLE_BINARY_COMPARE(__VAL0, __VAL1, __CMP, __INV_CMP, ...)  \
+  do {                                                                  \
+    if (!UNLIKELY((__VAL0)__CMP(__VAL1))) {                             \
+      PADDLE_THROW("enforce %s " #__CMP " %s failed, %s " #__INV_CMP    \
+                   " %s\n%s",                                           \
+                   #__VAL0, #__VAL1, paddle::string::to_string(__VAL0), \
+                   paddle::string::to_string(__VAL1),                   \
+                   paddle::string::Sprintf("" __VA_ARGS__));            \
+    }                                                                   \
+  } while (0)
 
 }  // namespace platform
 }  // namespace paddle