diff --git a/ivy/functional/frontends/torch/creation_ops.py b/ivy/functional/frontends/torch/creation_ops.py
index b275cfb9d5db8..f41731483fe24 100644
--- a/ivy/functional/frontends/torch/creation_ops.py
+++ b/ivy/functional/frontends/torch/creation_ops.py
@@ -4,7 +4,10 @@
     to_ivy_arrays_and_back,
     to_ivy_shape,
 )
-from ivy.func_wrapper import with_unsupported_dtypes
+from ivy.func_wrapper import (
+    with_unsupported_dtypes,
+    with_supported_dtypes,
+)
 import ivy.functional.frontends.torch as torch_frontend
 
 
@@ -71,6 +74,24 @@ def asarray(
     return ivy.asarray(obj, copy=copy, dtype=dtype, device=device)
 
 
+@with_supported_dtypes({"2.0.1 and below": ("float32", "float64")}, "torch")
+@to_ivy_arrays_and_back
+def complex(
+    real,
+    imag,
+    *,
+    out=None,
+):
+    assert real.dtype == imag.dtype, ValueError(
+        "Expected real and imag to have the same dtype, "
+        f" but got real.dtype = {real.dtype} and imag.dtype = {imag.dtype}."
+    )
+
+    complex_dtype = ivy.complex64 if real.dtype != ivy.float64 else ivy.complex128
+    complex_array = real + imag * 1j
+    return complex_array.astype(complex_dtype, out=out)
+
+
 @to_ivy_arrays_and_back
 def empty(
     *args,
@@ -234,6 +255,17 @@ def ones_like_v_0p4p0_and_above(
     return ret
 
 
+@with_supported_dtypes({"2.0.1 and below": ("float32", "float64")}, "torch")
+@to_ivy_arrays_and_back
+def polar(
+    abs,
+    angle,
+    *,
+    out=None,
+):
+    return complex(abs * angle.cos(), abs * angle.sin(), out=out)
+
+
 @to_ivy_arrays_and_back
 @with_unsupported_dtypes({"2.0.1 and below": ("float16",)}, "torch")
 def range(
diff --git a/ivy_tests/test_ivy/test_frontends/test_torch/test_creation_ops.py b/ivy_tests/test_ivy/test_frontends/test_torch/test_creation_ops.py
index ebcbee64b678d..781881e18e665 100644
--- a/ivy_tests/test_ivy/test_frontends/test_torch/test_creation_ops.py
+++ b/ivy_tests/test_ivy/test_frontends/test_torch/test_creation_ops.py
@@ -150,6 +150,61 @@ def _start_stop_step(draw):
 # ------------ #
 
 
+# complex
+@handle_frontend_test(
+    fn_tree="torch.complex",
+    dtype_and_x=helpers.dtype_and_values(available_dtypes=helpers.get_dtypes("float")),
+)
+def test_complex(
+    *,
+    dtype_and_x,
+    on_device,
+    fn_tree,
+    frontend,
+    test_flags,
+    backend_fw,
+):
+    input_dtype, input = 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,
+        real=input[0],
+        imag=input[0],
+    )
+
+
+# polar
+@handle_frontend_test(
+    fn_tree="torch.polar",
+    dtype_and_x=helpers.dtype_and_values(available_dtypes=helpers.get_dtypes("float")),
+    test_with_out=st.just(False),
+)
+def test_polar(
+    *,
+    dtype_and_x,
+    on_device,
+    fn_tree,
+    frontend,
+    test_flags,
+    backend_fw,
+):
+    input_dtype, input = 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,
+        abs=input[0],
+        angle=input[0],
+    )
+
+
 # arange
 @handle_frontend_test(
     fn_tree="torch.arange",