From ba08c5668926cef35d472524fcce9280c56b5833 Mon Sep 17 00:00:00 2001
From: Haris Mahmood <70361308+hmahmood24@users.noreply.github.com>
Date: Sat, 3 Feb 2024 20:35:06 +0000
Subject: [PATCH] feat(frontends): Added erfinv and erfinv_ to torch frontend
 along with tests

---
 .../frontends/torch/miscellaneous_ops.py      |  5 ++
 ivy/functional/frontends/torch/tensor.py      | 12 +++
 .../test_torch/test_miscellaneous_ops.py      | 31 ++++++++
 .../test_frontends/test_torch/test_tensor.py  | 77 +++++++++++++++++++
 4 files changed, 125 insertions(+)

diff --git a/ivy/functional/frontends/torch/miscellaneous_ops.py b/ivy/functional/frontends/torch/miscellaneous_ops.py
index ee0143f3b70df..b9d15f8a976df 100644
--- a/ivy/functional/frontends/torch/miscellaneous_ops.py
+++ b/ivy/functional/frontends/torch/miscellaneous_ops.py
@@ -239,6 +239,11 @@ def einsum(equation, *operands):
     return ivy.einsum(equation, *operands)
 
 
+@to_ivy_arrays_and_back
+def erfinv(input, *, out=None):
+    return ivy.erfinv(input, out=out)
+
+
 @to_ivy_arrays_and_back
 def finfo(dtype):
     return ivy.finfo(dtype)
diff --git a/ivy/functional/frontends/torch/tensor.py b/ivy/functional/frontends/torch/tensor.py
index ec96b640d5092..22195e6f3008d 100644
--- a/ivy/functional/frontends/torch/tensor.py
+++ b/ivy/functional/frontends/torch/tensor.py
@@ -2279,6 +2279,18 @@ def _set(index):
 
         return self
 
+    @with_unsupported_dtypes({"2.1.2 and below": ("float16", "complex")}, "torch")
+    def erfinv(self, *, out=None):
+        return torch_frontend.erfinv(self, out=out)
+
+    @with_unsupported_dtypes({"2.1.2 and below": ("float16", "complex")}, "torch")
+    def erfinv_(self, *, out=None):
+        ret = self.erfinv(out=out)
+        self._ivy_array = ivy.inplace_update(
+            self._ivy_array, ivy.astype(ret.ivy_array, self._ivy_array.dtype)
+        )
+        return self
+
     # Method aliases
     absolute, absolute_ = abs, abs_
     clip, clip_ = clamp, clamp_
diff --git a/ivy_tests/test_ivy/test_frontends/test_torch/test_miscellaneous_ops.py b/ivy_tests/test_ivy/test_frontends/test_torch/test_miscellaneous_ops.py
index 5b15e0ec81308..46eb2ada3d210 100644
--- a/ivy_tests/test_ivy/test_frontends/test_torch/test_miscellaneous_ops.py
+++ b/ivy_tests/test_ivy/test_frontends/test_torch/test_miscellaneous_ops.py
@@ -1017,6 +1017,37 @@ def test_torch_einsum(
     )
 
 
+# erfinv
+@handle_frontend_test(
+    fn_tree="torch.erfinv",
+    dtype_and_x=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("float"),
+        min_value=-1,
+        max_value=1,
+        abs_smallest_val=1e-05,
+    ),
+)
+def test_torch_erfinv(
+    *,
+    dtype_and_x,
+    on_device,
+    fn_tree,
+    frontend,
+    test_flags,
+    backend_fw,
+):
+    input_dtype, x = dtype_and_x
+    helpers.test_frontend_function(
+        input_dtypes=input_dtype,
+        backend_to_test=backend_fw,
+        frontend=frontend,
+        test_flags=test_flags,
+        fn_tree=fn_tree,
+        on_device=on_device,
+        input=x[0],
+    )
+
+
 @handle_frontend_test(
     fn_tree="torch.flatten",
     dtype_input_axes=helpers.dtype_values_axis(
diff --git a/ivy_tests/test_ivy/test_frontends/test_torch/test_tensor.py b/ivy_tests/test_ivy/test_frontends/test_torch/test_tensor.py
index a0e89163f2f76..b5490c5ac5f5e 100644
--- a/ivy_tests/test_ivy/test_frontends/test_torch/test_tensor.py
+++ b/ivy_tests/test_ivy/test_frontends/test_torch/test_tensor.py
@@ -6374,6 +6374,83 @@ def test_torch_erf_(
     )
 
 
+# erfinv_ tests
+@handle_frontend_method(
+    class_tree=CLASS_TREE,
+    init_tree="torch.tensor",
+    method_name="erfinv_",
+    dtype_and_x=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("float"),
+        min_value=-1,
+        max_value=1,
+        abs_smallest_val=1e-05,
+    ),
+)
+def test_torch_erfinv(
+    dtype_and_x,
+    frontend_method_data,
+    init_flags,
+    method_flags,
+    frontend,
+    on_device,
+    backend_fw,
+):
+    input_dtype, x = dtype_and_x
+    helpers.test_frontend_method(
+        init_input_dtypes=input_dtype,
+        backend_to_test=backend_fw,
+        init_all_as_kwargs_np={
+            "data": x[0],
+        },
+        method_input_dtypes=input_dtype,
+        method_all_as_kwargs_np={},
+        frontend_method_data=frontend_method_data,
+        init_flags=init_flags,
+        method_flags=method_flags,
+        frontend=frontend,
+        on_device=on_device,
+    )
+
+
+# erfinv_ tests
+@handle_frontend_method(
+    class_tree=CLASS_TREE,
+    init_tree="torch.tensor",
+    method_name="erfinv_",
+    dtype_and_x=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("float"),
+        min_value=-1,
+        max_value=1,
+        abs_smallest_val=1e-05,
+    ),
+    test_inplace=st.just(True),
+)
+def test_torch_erfinv_(
+    dtype_and_x,
+    frontend_method_data,
+    init_flags,
+    method_flags,
+    frontend,
+    on_device,
+    backend_fw,
+):
+    input_dtype, x = dtype_and_x
+    helpers.test_frontend_method(
+        init_input_dtypes=input_dtype,
+        backend_to_test=backend_fw,
+        init_all_as_kwargs_np={
+            "data": x[0],
+        },
+        method_input_dtypes=input_dtype,
+        method_all_as_kwargs_np={},
+        frontend_method_data=frontend_method_data,
+        init_flags=init_flags,
+        method_flags=method_flags,
+        frontend=frontend,
+        on_device=on_device,
+    )
+
+
 # exp
 @handle_frontend_method(
     class_tree=CLASS_TREE,