tensorflow frontend ApproximateEqual (#12008)

ivy/functional/frontends/tensorflow/raw_ops.py

@@ -40,6 +40,29 @@ def Acosh(*, x, name="Acosh"):
 AddV2 = to_ivy_arrays_and_back(map_raw_ops_alias(tf_frontend.math.add))
 
 
+@with_unsupported_dtypes(
+    {
+        "2.10.0 and below": (
+            "float16",
+            "bool",
+            "bfloat16",
+        )
+    },
+    "tensorflow",
+)
+@to_ivy_arrays_and_back
+def ApproximateEqual(
+    *,
+    x,
+    y,
+    tolerance=1e-05,
+    name="ApproximateEqual",
+):
+    x, y = check_tensorflow_casting(x, y)
+    ret = ivy.abs(x - y)
+    return ret < tolerance
+
+
 @to_ivy_arrays_and_back
 def ArgMin(*, input, dimension, output_type=None, name=None):
     output_type = to_ivy_dtype(output_type)

ivy_tests/test_ivy/test_frontends/test_tensorflow/test_raw_ops.py

@@ -66,6 +66,39 @@ def test_tensorflow_Acosh(  # NOQA
     )
 
 
+# ApproximateEqual
+@handle_frontend_test(
+    fn_tree="tensorflow.raw_ops.ApproximateEqual",
+    dtype_and_x=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("float"),
+        num_arrays=2,
+        shared_dtype=True,
+    ),
+    tol=st.floats(1e-05, 1e-03),
+    test_with_out=st.just(False),
+)
+def test_tensorflow_ApproximateEqual(  # NOQA
+    *,
+    dtype_and_x,
+    tol,
+    frontend,
+    test_flags,
+    fn_tree,
+    on_device,
+):
+    input_dtype, xs = dtype_and_x
+    helpers.test_frontend_function(
+        input_dtypes=input_dtype,
+        frontend=frontend,
+        test_flags=test_flags,
+        fn_tree=fn_tree,
+        on_device=on_device,
+        x=xs[0],
+        y=xs[1],
+        tolerance=tol,
+    )
+
+
 # AddV2
 @handle_frontend_test(
     fn_tree="tensorflow.raw_ops.AddV2",