Fix four error messages (#32899)

* fix two error message

* fix two error message

* fix error

* fix error

* fix error

* fix error

* fix some error message

* fix some error

* fix error

* fix some error

* fix some error

* fix some error

* fix one error

* fix some error

* fix seven error message

* fix error

* fix error

* fix error

* fix error

* fix some error message

* fix error

* fix some error

* fix some error

* fix four error message

* fix error

* fix error

paddle/fluid/operators/fused/fused_bn_activation_op.cc

@@ -173,7 +173,9 @@ void FusedBatchNormActOpMaker::Make() {
       .AddCustomChecker([](const float &epsilon) {
         PADDLE_ENFORCE_EQ(epsilon >= 0.0f && epsilon <= 0.001f, true,
                           platform::errors::InvalidArgument(
-                              "'epsilon' should be between 0.0 and 0.001."));
+                              "Attr(epsilon) should be between 0.0 and 0.001, "
+                              "but received value is %f.",
+                              epsilon));
       });
   AddAttr<std::string>("act_type", "The activation type to be fused.")
       .SetDefault("relu");

paddle/fluid/operators/fused/fused_embedding_eltwise_layernorm_op.cc

@@ -25,11 +25,13 @@ class EmbeddingEltWiseLayerNormOp : public framework::OperatorWithKernel {
 
  protected:
   void InferShape(framework::InferShapeContext* context) const override {
-    PADDLE_ENFORCE_EQ(context->Inputs("Ids").size(),
-                      context->Inputs("Embs").size(),
-                      platform::errors::InvalidArgument(
-                          "Two inputs of EmbeddingEltWiseLayerNormOp shoube be "
-                          "the same size"));
+    PADDLE_ENFORCE_EQ(
+        context->Inputs("Ids").size(), context->Inputs("Embs").size(),
+        platform::errors::InvalidArgument(
+            "Two inputs of EmbeddingEltWiseLayerNormOp shoube be "
+            "the same size, but received the size of input Ids = %d,"
+            " the size of input Embs = %d",
+            context->Inputs("Ids").size(), context->Inputs("Embs").size()));
     PADDLE_ENFORCE_GE(context->Inputs("Embs").size(), 2UL,
                       platform::errors::InvalidArgument(
                           "Input Embs of EmbeddingEltWiseLayerNormOp should "
@@ -77,7 +79,8 @@ class EmbeddingEltWiseLayerNormOp : public framework::OperatorWithKernel {
       PADDLE_ENFORCE_EQ(
           embs_dims[i][1], hidden,
           platform::errors::InvalidArgument(
-              "The Emb first dim size(%d) shoule equal to hidden (%d).",
+              "The second dimension size(%d) of the Embedding should be "
+              "equal to the hidden's size(%d)",
               embs_dims[i][1], hidden));
     }
 

paddle/fluid/operators/fused/fusion_transpose_flatten_concat_op.cc

@@ -40,7 +40,9 @@ class TransposeFlattenConcatFusionOp : public framework::OperatorWithKernel {
     const size_t n = ins.size();
     PADDLE_ENFORCE_GT(n, 0,
                       platform::errors::InvalidArgument(
-                          "Input tensors dim size should greater than 0."));
+                          "The size of Inputs(X)'s dimension should be greater "
+                          " than 0, but received %d.",
+                          n));
 
     std::vector<int> trans_axis =
         ctx->Attrs().Get<std::vector<int>>("trans_axis");