Fix op signature for avg_pool2d (pytorch#14787)

Summary:

The default for padding was incorrect, adding default with the correct dtype

Differential Revision: D83873533

Author: Andrew Grebenisan

backends/cadence/aot/ops_registrations.py

@@ -329,7 +329,7 @@
     "Tensor bias_scale, float out_scale, int out_zero_point, Tensor out_multiplier, Tensor out_shift, bool channel_last=False) -> (Tensor out)"
 )
 lib.define(
-    "avg_pool2d(Tensor input, int[2] kernel_size, int[2] stride=[], int[2] padding=0, bool ceil_mode=False, "
+    "avg_pool2d(Tensor input, int[2] kernel_size, int[2] stride=[], int[2] padding=[], bool ceil_mode=False, "
     "bool count_include_pad=True, int? divisor_override=None, Tensor? in_zero_point=None, bool channel_last=False) -> (Tensor out)"
 )
 lib.define(
@@ -525,7 +525,7 @@
     "Tensor out_multiplier, Tensor out_shift, bool channel_last=False, *, Tensor(a!) out) -> Tensor(a!)"
 )
 lib.define(
-    "avg_pool2d.out(Tensor input, int[2] kernel_size, int[2] stride=[], int[2] padding=0, "
+    "avg_pool2d.out(Tensor input, int[2] kernel_size, int[2] stride=[], int[2] padding=[], "
     "bool ceil_mode=False, bool count_include_pad=True, int? divisor_override=None, "
     "Tensor? in_zero_point=None, bool channel_last=False, *, Tensor(a!) out) -> Tensor(a!)"
 )