just add the op error message for the matmul xpu (#30246)

 add the op error message for the matmul xpu 

paddle/fluid/operators/matmul_op_xpu.cc

@@ -127,10 +127,18 @@ class MatMulXPUKernel : public framework::OpKernel<T> {
 
     PADDLE_ENFORCE_EQ(
         mat_dim_a.width_, mat_dim_b.height_,
-        platform::errors::InvalidArgument("Shape mistake in matmul_op"));
-    PADDLE_ENFORCE_EQ(
-        mat_dim_a.batch_size_, mat_dim_b.batch_size_,
-        platform::errors::InvalidArgument("Shape mistake in matmul_op"));
+        platform::errors::InvalidArgument("Shape mistake in matmul_op, the "
+                                          "first tensor width must be same as "
+                                          "second tensor height, but received "
+                                          "width:%d, height:%d",
+                                          mat_dim_a.width_, mat_dim_b.height_));
+    PADDLE_ENFORCE_EQ(mat_dim_a.batch_size_, mat_dim_b.batch_size_,
+                      platform::errors::InvalidArgument(
+                          "Shape mistake in matmul_op, the two input"
+                          "tensor batch_size must be same, but received first "
+                          "tensor batch_size:%d, second "
+                          "tensor batch_size:%d",
+                          mat_dim_a.batch_size_, mat_dim_b.batch_size_));
     T alpha = static_cast<T>(context.Attr<float>("alpha"));
 
     auto &dev_ctx = context.template device_context<DeviceContext>();
@@ -251,12 +259,20 @@ class MatMulGradXPUKernel : public framework::OpKernel<T> {
       }
     }
 
-    PADDLE_ENFORCE_EQ(
-        mat_dim_a.width_, mat_dim_b.height_,
-        platform::errors::InvalidArgument("Shape mistake in matmul_grad_op"));
-    PADDLE_ENFORCE_EQ(
-        mat_dim_a.batch_size_, mat_dim_b.batch_size_,
-        platform::errors::InvalidArgument("Shape mistake in matmul_grad_op"));
+    PADDLE_ENFORCE_EQ(mat_dim_a.width_, mat_dim_b.height_,
+                      platform::errors::InvalidArgument(
+                          "Shape mistake in matmul_grad_op, the "
+                          "first tensor width must be same as second tensor "
+                          "height, but received "
+                          "width:%d, height:%d",
+                          mat_dim_a.width_, mat_dim_b.height_));
+    PADDLE_ENFORCE_EQ(mat_dim_a.batch_size_, mat_dim_b.batch_size_,
+                      platform::errors::InvalidArgument(
+                          "Shape mistake in matmul_grad_op, the two input"
+                          "tensor batch_size must be same, but received first "
+                          "tensor batch_size:%d, second "
+                          "tensor batch_size:%d",
+                          mat_dim_a.batch_size_, mat_dim_b.batch_size_));
 
     T alpha = static_cast<T>(context.Attr<float>("alpha"));