Polish the documentation for uniform_random and top_k ops (#5353)

Author: abhinavarora

paddle/operators/top_k_op.cc

@@ -48,20 +48,20 @@ class TopkOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
   TopkOpMaker(framework::OpProto *proto, framework::OpAttrChecker *op_checker)
       : OpProtoAndCheckerMaker(proto, op_checker) {
-    AddInput("X", "The input of Topk op");
-    AddOutput("Out", "The output tensor of Topk op");
-    AddOutput("Indices", "The indices of Topk elements of input");
-    AddComment(
-        R"DOC(If the input is a vector (1d tensor), 
-        finds the k largest entries in the vector 
-        and outputs their values and indices as vectors. 
-        Thus values[j] is the j-th largest entry in input, 
-        and its index is indices[j].
+    AddInput("X", "(Tensor) The input of Topk op");
+    AddOutput("Out", "(Tensor) The output tensor of Topk op");
+    AddOutput("Indices", "(Tensor) The indices of Topk elements of input");
+    AddComment(R"DOC(
+Top K operator
 
-    For matrices, computes the top k entries in each row. )DOC");
+If the input is a vector (1d tensor), this operator finds the k largest 
+entries in the vector and outputs their values and indices as vectors. 
+Thus values[j] is the j-th largest entry in input, and its index is indices[j].
+
+For matrices, this operator computes the top k entries in each row. )DOC");
     AddAttr<int>("k",
-                 "Number of top elements to look for along the last "
-                 "dimension (along each row for matrices).")
+                 "(int, default 1) Number of top elements to look for along "
+                 "the last dimension (along each row for matrices).")
         .SetDefault(1);
   }
 };

paddle/operators/uniform_random_op.cc

@@ -74,18 +74,30 @@ class UniformRandomOpMaker : public framework::OpProtoAndCheckerMaker {
   UniformRandomOpMaker(framework::OpProto* proto,
                        framework::OpAttrChecker* op_checker)
       : framework::OpProtoAndCheckerMaker(proto, op_checker) {
-    AddOutput("Out", "The output tensor of uniform random op");
-    AddComment(R"DOC(Uniform random operator.
-Used to initialize tensor with uniform random generator.
+    AddOutput("Out", "(Tensor) The output tensor of uniform random op");
+    AddComment(R"DOC(
+Uniform random operator.
+
+This operator initializes a tensor with random values sampled from a 
+uniform distribution.
+
 )DOC");
-    AddAttr<std::vector<int>>("shape", "the dimension of random tensor");
-    AddAttr<float>("min", "Minimum value of uniform random").SetDefault(-1.0f);
-    AddAttr<float>("max", "Maximun value of uniform random").SetDefault(1.0f);
+    AddAttr<std::vector<int>>("shape",
+                              "(vector<int>) The shape of the output tensor");
+    AddAttr<float>("min",
+                   "(float, default -1.0) "
+                   "Minimum value of uniform random")
+        .SetDefault(-1.0f);
+    AddAttr<float>("max",
+                   "(float, default 1.0) "
+                   "Maximun value of uniform random")
+        .SetDefault(1.0f);
     AddAttr<int>("seed",
-                 "Random seed of uniform random. "
-                 "0 means generate a seed by system")
+                 "(int, default 0) "
+                 "Random seed used for generating samples. "
+                 "0 means use a seed generated by the system.")
         .SetDefault(0);
-    AddAttr<int>("data_type", "output tensor data type")
+    AddAttr<int>("data_type", "(int, default 5(FP32)) Output tensor data type")
         .SetDefault(framework::DataType::FP32);
   }
 };