add autogen code support for sigmoid_cross_entropy_with_logits

paddle/phi/api/yaml/backward.yaml

@@ -1344,6 +1344,17 @@
     func : send_uv_grad
     data_type : x
 
+- backward_op : sigmoid_cross_entropy_with_logits_grad
+  forward : sigmoid_cross_entropy_with_logits (Tensor x, Tensor label, bool normalize=false, int ignore_index=-100) -> Tensor(out)
+  args : (Tensor x, Tensor label, Tensor out_grad, bool normalize, int ignore_index)
+  output : Tensor(x_grad)
+  infer_meta :
+    func : UnchangedInferMeta
+    param : [x]
+  kernel :
+    func : sigmoid_cross_entropy_with_logits_grad
+  inplace : (out_grad -> x_grad)
+
 - backward_op : sigmoid_double_grad
   forward : sigmoid_grad (Tensor out, Tensor fwd_grad_out) -> Tensor(grad_x)
   args : (Tensor out, Tensor fwd_grad_out, Tensor grad_x_grad)

paddle/phi/api/yaml/legacy_backward.yaml

@@ -1045,17 +1045,6 @@
     data_type : x
   optional : summed_ids
 
-- backward_op : sigmoid_cross_entropy_with_logits_grad
-  forward : sigmoid_cross_entropy_with_logits (Tensor x, Tensor label, bool normalize, int ignore_index) -> Tensor(out)
-  args : (Tensor x, Tensor label, Tensor out_grad, bool normalize, int ignore_index)
-  output : Tensor(x_grad)
-  infer_meta :
-    func : UnchangedInferMeta
-    param : [x]
-  kernel :
-    func : sigmoid_cross_entropy_with_logits_grad
-  inplace : (out_grad -> x_grad)
-
 - backward_op : slice_double_grad
   forward : slice_grad (Tensor input, Tensor grad_out, int64_t[] axes, IntArray starts, IntArray ends, int64_t[] infer_flags, int64_t[] decrease_axis) -> Tensor(grad_input)
   args : (Tensor grad_input_grad, int64_t[] axes, IntArray starts, IntArray ends, int64_t[] infer_flags, int64_t[] decrease_axis)

paddle/phi/api/yaml/legacy_ops.yaml

@@ -1417,15 +1417,6 @@
   data_transform:
     skip_transform : input
 
-- op : sigmoid_cross_entropy_with_logits
-  args : (Tensor x, Tensor label, bool normalize, int ignore_index)
-  output : Tensor
-  infer_meta :
-    func : SigmoidCrossEntropyWithLogitsInferMeta
-  kernel :
-    func : sigmoid_cross_entropy_with_logits
-  backward : sigmoid_cross_entropy_with_logits_grad
-
 - op : slice
   args : (Tensor input, int64_t[] axes, IntArray starts, IntArray ends, int64_t[] infer_flags, int64_t[] decrease_axis)
   output : Tensor

paddle/phi/api/yaml/op_compat.yaml

@@ -1994,3 +1994,10 @@
   backward : while_grad
   extra :
     attrs : ['str[] skip_eager_deletion_vars = {}']
+
+- op: sigmoid_cross_entropy_with_logits
+  backward: sigmoid_cross_entropy_with_logits_grad
+  inputs :
+    {x: X, label: Label}
+  outputs :
+    out : Out

paddle/phi/api/yaml/ops.yaml

@@ -1367,6 +1367,15 @@
   inplace : (x -> out)
   backward : sigmoid_grad
 
+- op : sigmoid_cross_entropy_with_logits
+  args : (Tensor x, Tensor label, bool normalize=false, int ignore_index=-100)
+  output : Tensor
+  infer_meta :
+    func : SigmoidCrossEntropyWithLogitsInferMeta
+  kernel :
+    func : sigmoid_cross_entropy_with_logits
+  backward : sigmoid_cross_entropy_with_logits_grad
+
 - op : sign
   args : (Tensor x)
   output : Tensor(out)