fix code

python/paddle/decomposition/rules.py

@@ -56,10 +56,8 @@ def gelu(x, approximate):
         tanh_out = tanh(kAlpha * (x + GELU_CONSTANT * x * x * x))
         out = x * half * (one + tanh_out)
         return out
-
     else:
         # gelu(x) = 0.5 * x *  (1 + erf(x / sqrt(2)))
-
         cdf = half * (one + _pir_ops.erf(x * full(x.shape, M_SQRT1_2, x.dtype)))
         out = x * cdf
         return out
@@ -71,7 +69,6 @@ def sqrt(x):
     define composite rule of op sqrt
     res = pow(x, 0.5)
     """
-    # breakpoint()
     is_amp = False
     from paddle.base.data_feeder import convert_dtype
 
@@ -255,7 +252,6 @@ def silu(x):
 @register_decomp('pd_op.softmax')
 def softmax(x, axis):
     """define composite rule of op softmax"""
-    # breakpoint()
     is_amp = False
     from paddle.base.data_feeder import convert_dtype
 
@@ -285,9 +281,8 @@ def full_like(x, fill_value, dtype, place=None):
     """define composite rule of op full_like."""
     """op name: full_like  op type name: fill_any_like."""
     """arg place is not used, add it here to keep same as python api."""
-    val = full(
-        x.shape, fill_value, dtype
-    )  # x.shape = [10, 10], val.shape=[-1, -1]
+    fill_value = fill_value.get_defining_op().attrs()["value"]
+    val = full(x.shape, fill_value, dtype)
     return val
 
 
@@ -297,11 +292,9 @@ def stack(x, axis):
     define composite rule of op stack
     unsqueeze each dimension of the input (use reshape), and then concat
     """
-
     x_shape = x[0].shape
     if axis < 0:
         axis += len(x_shape) + 1
-    # breakpoint()
     out_shape = x_shape[:axis] + [1] + x_shape[axis:]
     out = concat([reshape(item, out_shape) for item in x], axis)
     return out