[Phi] Fix infershape if encounter TensorList and Attr("XXX") (#40420)

* [Phi] Fix infershape if encounter TensorList and Attr("XXX")

* add InferShapeArgumentMappingContext

paddle/fluid/framework/infershape_utils.cc

@@ -90,6 +90,8 @@ class InferShapeArgumentMappingContext : public phi::ArgumentMappingContext {
 
   bool IsForInferShape() const override { return true; }
 
+  bool IsRuntime() const override { return ctx_.IsRuntime(); }
+
  private:
   const InferShapeContext& ctx_;
 };

paddle/phi/core/compat/arg_map_context.h

@@ -96,6 +96,13 @@ class ArgumentMappingContext {
   // use this function to mark it comes from InferShapeArgumentMappingContext
   // and will be used in infershape
   virtual bool IsForInferShape() const = 0;
+
+  // NOTE(paddle-dev): [ Why do we export this interface? ]
+  // In old Fluid framework, some operators' Attribute can be a Tensor or
+  // TensorList. In this case, the InferShape logic will be different
+  // under CompileTime and RuntimeTime. So we export this interface to
+  // handle it conveniently. See "gaussian_random_sig.cc" for details.
+  virtual bool IsRuntime() const { return true; }
 };
 
 }  // namespace phi

paddle/phi/ops/compat/gaussian_random_sig.cc

@@ -18,14 +18,23 @@ namespace phi {
 
 KernelSignature GaussianRandomOpArgumentMapping(
     const ArgumentMappingContext& ctx) {
+  const auto& shape = paddle::any_cast<std::vector<int64_t>>(ctx.Attr("shape"));
   if (ctx.InputSize("ShapeTensorList") > 0) {
+    // Infer output shape by Attr("shape") in CompileTime if it is specified.
+    if (!ctx.IsRuntime() && !shape.empty()) {
       return KernelSignature("gaussian_random",
+                             {},
+                             {"shape", "mean", "std", "seed", "dtype"},
+                             {"Out"});
+    } else {
+      return KernelSignature(
+          "gaussian_random",
           {},
           {"ShapeTensorList", "mean", "std", "seed", "dtype"},
           {"Out"});
     }
+  }
 
-  const auto& shape = paddle::any_cast<std::vector<int64_t>>(ctx.Attr("shape"));
   if (ctx.HasInput("ShapeTensor") && shape.empty()) {
     return KernelSignature("gaussian_random",
                            {},