Speedup random perform

Author: ricardoV94

pytensor/tensor/random/op.py

@@ -10,7 +10,6 @@
 from pytensor.graph.basic import Apply, Variable, equal_computations
 from pytensor.graph.op import Op
 from pytensor.graph.replace import _vectorize_node
-from pytensor.misc.safe_asarray import _asarray
 from pytensor.scalar import ScalarVariable
 from pytensor.tensor.basic import (
     as_tensor_variable,
@@ -389,7 +388,6 @@ def dist_params(self, node) -> Sequence[Variable]:
 
     def perform(self, node, inputs, outputs):
         rng_var_out, smpl_out = outputs
-
         rng, size, *args = inputs
 
         # Draw from `rng` if `self.inplace` is `True`, and from a copy of `rng` otherwise.
@@ -400,12 +398,11 @@ def perform(self, node, inputs, outputs):
 
         if size is not None:
             size = tuple(size)
-        smpl_val = self.rng_fn(rng, *([*args, size]))
-
-        if not isinstance(smpl_val, np.ndarray) or str(smpl_val.dtype) != self.dtype:
-            smpl_val = _asarray(smpl_val, dtype=self.dtype)
 
-        smpl_out[0] = smpl_val
+        smpl_out[0] = np.asarray(
+            self.rng_fn(rng, *args, size),
+            dtype=self.dtype,
+        )
 
     def grad(self, inputs, outputs):
         return [