diff --git a/ivy/functional/frontends/torch/comparison_ops.py b/ivy/functional/frontends/torch/comparison_ops.py
index f9614486a27ca..2a9d6ca3cfc49 100644
--- a/ivy/functional/frontends/torch/comparison_ops.py
+++ b/ivy/functional/frontends/torch/comparison_ops.py
@@ -49,3 +49,11 @@ def eq(input, other, *, out=None):
 
 def argsort(input, dim=-1, descending=False):
     return ivy.argsort(input, axis=dim, descending=descending)
+
+
+def greater_equal(input, other, *, out=None):
+    ret = ivy.greater_equal(input, other, out=out)
+    return ret
+
+
+ge = greater_equal
diff --git a/ivy_tests/test_ivy/test_frontends/test_torch/test_comparison_ops.py b/ivy_tests/test_ivy/test_frontends/test_torch/test_comparison_ops.py
index f7fe05bf62c86..fb34d44e0af04 100644
--- a/ivy_tests/test_ivy/test_frontends/test_torch/test_comparison_ops.py
+++ b/ivy_tests/test_ivy/test_frontends/test_torch/test_comparison_ops.py
@@ -175,3 +175,44 @@ def test_torch_argsort(
         dim=axis,
         descending=descending,
     )
+
+
+# greater_equal
+@handle_cmd_line_args
+@given(
+    dtype_and_inputs=helpers.dtype_and_values(
+        available_dtypes=tuple(
+            set(ivy_np.valid_numeric_dtypes).intersection(
+                set(ivy_torch.valid_numeric_dtypes)
+            ),
+        ),
+        num_arrays=2,
+        allow_inf=False,
+        shared_dtype=True,
+    ),
+    num_positional_args=helpers.num_positional_args(
+        fn_name="ivy.functional.frontends.torch.greater_equal"
+    ),
+)
+def test_torch_greater_equal(
+    dtype_and_inputs,
+    as_variable,
+    with_out,
+    num_positional_args,
+    native_array,
+    fw,
+):
+    input_dtype, inputs = dtype_and_inputs
+    helpers.test_frontend_function(
+        input_dtypes=input_dtype,
+        as_variable_flags=as_variable,
+        with_out=with_out,
+        num_positional_args=num_positional_args,
+        native_array_flags=native_array,
+        fw=fw,
+        frontend="torch",
+        fn_tree="greater_equal",
+        input=np.asarray(inputs[0], dtype=input_dtype[0]),
+        other=np.asarray(inputs[1], dtype=input_dtype[1]),
+        out=None,
+    )