fix fused_dropout_add bug (#52644)

paddle/phi/api/yaml/fused_backward.yaml

@@ -9,8 +9,9 @@
   args : (Tensor seed_offset, Tensor out_grad, Scalar p, bool is_test, str mode, bool fix_seed)
   output : Tensor(x_grad), Tensor(y_grad)
   infer_meta :
-    func : GeneralBinaryGradInferMeta
-    param : [out_grad, out_grad]
+    func : FusedDropoutAddGradInferMeta
+    param : [seed_offset, out_grad]
   kernel :
     func : fused_dropout_add_grad
+    data_type : out_grad
   support_dygraph_mode : true

paddle/phi/infermeta/backward.cc

@@ -215,6 +215,19 @@ void FlashAttnGradInferMeta(const MetaTensor& q,
   }
 }
 
+void FusedDropoutAddGradInferMeta(const MetaTensor& seed_offset,
+                                  const MetaTensor& out_grad,
+                                  MetaTensor* x_grad,
+                                  MetaTensor* y_grad) {
+  if (x_grad != nullptr) {
+    x_grad->share_meta(out_grad);
+  }
+
+  if (y_grad != nullptr) {
+    y_grad->share_meta(out_grad);
+  }
+}
+
 void CrossEntropyWithSoftmaxGradInferMeta(const MetaTensor& label,
                                           const MetaTensor& softmax,
                                           const MetaTensor& loss_grad,

paddle/phi/infermeta/backward.h

@@ -179,6 +179,11 @@ void FlashAttnGradInferMeta(const MetaTensor& q,
                             MetaTensor* dk,
                             MetaTensor* dv);
 
+void FusedDropoutAddGradInferMeta(const MetaTensor& seed_offset,
+                                  const MetaTensor& out_grad,
+                                  MetaTensor* x_grad,
+                                  MetaTensor* y_grad);
+
 void GatherNdGradInferMeta(const MetaTensor& x,
                            const MetaTensor& index,
                            const MetaTensor& out_grad,

paddle/phi/kernels/fusion/gpu/fused_dropout_add_utils.h

@@ -20,7 +20,7 @@ namespace phi {
 namespace fusion {
 
 template <typename Context>
-static inline std::vector<size_t> GetRandomCudaProp(int numel,
+static inline std::vector<size_t> GetRandomCudaProp(int64_t numel,
                                                     const Context& dev_ctx) {
   constexpr int kVecSize = funcs::uniform_distribution<float>::kReturnsCount;
   auto gpu_config =

python/paddle/distributed/auto_parallel/utils.py

@@ -1260,6 +1260,7 @@ def set_grad_var_shape(program, dist_context):
                 "exp_grad",
                 "sigmoid_grad",
                 "unsqueeze2_grad",
+                "fused_dropout_add_grad",
             ]
             forward_list = [
                 "reshape2",
@@ -1281,6 +1282,7 @@ def set_grad_var_shape(program, dist_context):
                 "exp",
                 "sigmoid",
                 "unsqueeze2",
+                "fused_dropout_add",
             ]
             if op.type in need_set_shape_list:
                 for forward_op in block.ops: