Torch frontend lerp (ivy-llc#10690)

Co-authored-by: Fotios Spyridakos <[email protected]>

ivy/functional/frontends/torch/pointwise_ops.py

@@ -450,3 +450,9 @@ def hypot(input, other, *, out=None):
 @to_ivy_arrays_and_back
 def sigmoid(input, *, out=None):
     return ivy.sigmoid(input, out=out)
+
+
+@with_unsupported_dtypes({"1.11.0 and below": ("float16", "bfloat16")}, "torch")
+@to_ivy_arrays_and_back
+def lerp(input, end, weight, *, out=None):
+    return ivy.add(input, ivy.multiply(weight, ivy.subtract(end, input)), out=out)

ivy_tests/test_ivy/test_frontends/test_torch/test_pointwise_ops.py

@@ -2081,3 +2081,37 @@ def test_torch_sigmoid(
         on_device=on_device,
         input=x[0],
     )
+
+
+# lerp
+@handle_frontend_test(
+    fn_tree="torch.lerp",
+    dtype_and_input=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("float"),
+        num_arrays=3,
+        shared_dtype=True,
+        large_abs_safety_factor=2.5,
+        small_abs_safety_factor=2.5,
+        safety_factor_scale="log",
+    ),
+)
+def test_torch_lerp(
+    *,
+    dtype_and_input,
+    frontend,
+    test_flags,
+    fn_tree,
+    on_device,
+):
+    input_dtype, inputs = dtype_and_input
+    start, end, weight = inputs
+    helpers.test_frontend_function(
+        input_dtypes=input_dtype,
+        frontend=frontend,
+        test_flags=test_flags,
+        fn_tree=fn_tree,
+        on_device=on_device,
+        input=start,
+        end=end,
+        weight=weight,
+    )