From 58227ae570c8562ad51a135e165f35e9af3415a6 Mon Sep 17 00:00:00 2001
From: Ishtiaq Hussain <53497039+Ishticode@users.noreply.github.com>
Date: Tue, 13 Feb 2024 21:17:43 +0000
Subject: [PATCH] feat: add torch.special.erfc  in torch frontend and turn the
 implementation in pointwise ops into an alias for the special func

---
 erfissues.py                                        |  5 +++++
 ivy/functional/frontends/torch/__init__.py          |  1 +
 ivy/functional/frontends/torch/pointwise_ops.py     |  9 +++------
 ivy/functional/frontends/torch/special/__init__.py  |  1 +
 .../frontends/torch/special/special_funcs.py        | 13 +++++++++++++
 5 files changed, 23 insertions(+), 6 deletions(-)
 create mode 100644 erfissues.py
 create mode 100644 ivy/functional/frontends/torch/special/__init__.py
 create mode 100644 ivy/functional/frontends/torch/special/special_funcs.py

diff --git a/erfissues.py b/erfissues.py
new file mode 100644
index 0000000000000..3331f8968a491
--- /dev/null
+++ b/erfissues.py
@@ -0,0 +1,5 @@
+import torch
+print(torch.special.erfc(torch.tensor([0, -1., 10.])))
+from ivy.functional.frontends import torch as ivy_torch
+print(ivy_torch.special.erfc(ivy_torch.tensor([0, -1., 10.])))
+print(ivy_torch.erfc(ivy_torch.tensor([0, -1., 10.])))
\ No newline at end of file
diff --git a/ivy/functional/frontends/torch/__init__.py b/ivy/functional/frontends/torch/__init__.py
index af031aa7c9d26..e9f0986016442 100644
--- a/ivy/functional/frontends/torch/__init__.py
+++ b/ivy/functional/frontends/torch/__init__.py
@@ -261,6 +261,7 @@ def promote_types_of_torch_inputs(
 
 from . import nn
 from .nn.functional import softmax, relu, lstm
+from . import special
 from . import tensor
 from .tensor import *
 from . import blas_and_lapack_ops
diff --git a/ivy/functional/frontends/torch/pointwise_ops.py b/ivy/functional/frontends/torch/pointwise_ops.py
index 7ae00ab085319..9c0c4601c3522 100644
--- a/ivy/functional/frontends/torch/pointwise_ops.py
+++ b/ivy/functional/frontends/torch/pointwise_ops.py
@@ -10,6 +10,9 @@
 )
 
 
+erfc = torch_frontend.special.erfc
+
+
 @to_ivy_arrays_and_back
 def abs(input, *, out=None):
     return ivy.abs(input, out=out)
@@ -189,12 +192,6 @@ def erf(input, *, out=None):
     return ivy.erf(input, out=out)
 
 
-@with_unsupported_dtypes({"2.2 and below": ("float16", "complex")}, "torch")
-@to_ivy_arrays_and_back
-def erfc(input, *, out=None):
-    return 1.0 - ivy.erf(input, out=out)
-
-
 @with_unsupported_dtypes({"2.2 and below": ("float16",)}, "torch")
 @to_ivy_arrays_and_back
 def exp(input, *, out=None):
diff --git a/ivy/functional/frontends/torch/special/__init__.py b/ivy/functional/frontends/torch/special/__init__.py
new file mode 100644
index 0000000000000..7dc36a681a948
--- /dev/null
+++ b/ivy/functional/frontends/torch/special/__init__.py
@@ -0,0 +1 @@
+from .special_funcs import *
diff --git a/ivy/functional/frontends/torch/special/special_funcs.py b/ivy/functional/frontends/torch/special/special_funcs.py
new file mode 100644
index 0000000000000..a48c5a2bc006d
--- /dev/null
+++ b/ivy/functional/frontends/torch/special/special_funcs.py
@@ -0,0 +1,13 @@
+import ivy
+from ivy.func_wrapper import (
+    with_unsupported_dtypes,
+)
+from ivy.functional.frontends.torch.func_wrapper import (
+    to_ivy_arrays_and_back,
+)
+
+
+@with_unsupported_dtypes({"2.2 and below": ("float16", "complex")}, "torch")
+@to_ivy_arrays_and_back
+def erfc(input, *, out=None):
+    return 1.0 - ivy.erf(input, out=out)