Fix wrong dtype arguments

Author: ricardoV94

pytensor/gradient.py

@@ -2302,7 +2302,7 @@ def _is_zero(x):
 
 class ZeroGrad(ViewOp):
     def grad(self, args, g_outs):
-        return [g_out.zeros_like(g_out) for g_out in g_outs]
+        return [g_out.zeros_like() for g_out in g_outs]
 
     def R_op(self, inputs, eval_points):
         if eval_points[0] is None:

pytensor/scalar/basic.py

@@ -3237,7 +3237,7 @@ def L_op(self, inputs, outputs, gout):
             else:
                 return [x.zeros_like()]
 
-        return (gz * exp2(x) * log(np.array(2, dtype=x.type)),)
+        return (gz * exp2(x) * log(np.array(2, dtype=x.dtype)),)
 
     def c_code(self, node, name, inputs, outputs, sub):
         (x,) = inputs
@@ -3484,7 +3484,7 @@ def L_op(self, inputs, outputs, gout):
             else:
                 return [x.zeros_like()]
 
-        return (-gz / sqrt(np.array(1, dtype=x.type) - sqr(x)),)
+        return (-gz / sqrt(np.array(1, dtype=x.dtype) - sqr(x)),)
 
     def c_code(self, node, name, inputs, outputs, sub):
         (x,) = inputs
@@ -3558,7 +3558,7 @@ def L_op(self, inputs, outputs, gout):
             else:
                 return [x.zeros_like()]
 
-        return (gz / sqrt(np.array(1, dtype=x.type) - sqr(x)),)
+        return (gz / sqrt(np.array(1, dtype=x.dtype) - sqr(x)),)
 
     def c_code(self, node, name, inputs, outputs, sub):
         (x,) = inputs
@@ -3630,7 +3630,7 @@ def L_op(self, inputs, outputs, gout):
             else:
                 return [x.zeros_like()]
 
-        return (gz / (np.array(1, dtype=x.type) + sqr(x)),)
+        return (gz / (np.array(1, dtype=x.dtype) + sqr(x)),)
 
     def c_code(self, node, name, inputs, outputs, sub):
         (x,) = inputs
@@ -3753,7 +3753,7 @@ def L_op(self, inputs, outputs, gout):
             else:
                 return [x.zeros_like()]
 
-        return (gz / sqrt(sqr(x) - np.array(1, dtype=x.type)),)
+        return (gz / sqrt(sqr(x) - np.array(1, dtype=x.dtype)),)
 
     def c_code(self, node, name, inputs, outputs, sub):
         (x,) = inputs
@@ -3830,7 +3830,7 @@ def L_op(self, inputs, outputs, gout):
             else:
                 return [x.zeros_like()]
 
-        return (gz / sqrt(sqr(x) + np.array(1, dtype=x.type)),)
+        return (gz / sqrt(sqr(x) + np.array(1, dtype=x.dtype)),)
 
     def c_code(self, node, name, inputs, outputs, sub):
         (x,) = inputs
@@ -3908,7 +3908,7 @@ def L_op(self, inputs, outputs, gout):
             else:
                 return [x.zeros_like()]
 
-        return (gz / (np.array(1, dtype=x.type) - sqr(x)),)
+        return (gz / (np.array(1, dtype=x.dtype) - sqr(x)),)
 
     def c_code(self, node, name, inputs, outputs, sub):
         (x,) = inputs

pytensor/sparse/rewriting.py

@@ -193,7 +193,7 @@ def c_code_cache_version(self):
 def local_inplace_addsd_ccode(fgraph, node):
     """Rewrite to insert inplace versions of `AddSD`."""
     if isinstance(node.op, sparse.AddSD) and config.cxx:
-        out_dtype = ps.upcast(*node.inputs)
+        out_dtype = ps.upcast(*[inp.type.dtype for inp in node.inputs])
         if out_dtype != node.inputs[1].dtype:
             return
         new_node = AddSD_ccode(format=node.inputs[0].type.format, inplace=True)(