fixed: Bugs1

ivy/functional/backends/paddle/experimental/layers.py

@@ -438,7 +438,39 @@ def interpolate(
     antialias: Optional[bool] = False,
     out: Optional[paddle.Tensor] = None,
 ):
-    raise IvyNotImplementedException()
+    if mode == "linear":
+        interpolation_method = "linear"
+    elif mode == "bilinear":
+        interpolation_method = "bilinear"
+    elif mode == "trilinear":
+        interpolation_method = "trilinear"
+    else:
+        raise ValueError("Invalid interpolation mode")
+
+    if scale_factor is not None:
+        if isinstance(scale_factor, int):
+            scale_factor = (scale_factor,) * len(size)
+        elif isinstance(scale_factor, tuple):
+            scale_factor = scale_factor
+        else:
+            raise ValueError("Invalid scale_factor type")
+
+    if recompute_scale_factor is not None:
+        raise ValueError("recompute_scale_factor is not supported in paddle backend")
+
+    if align_corners is None:
+        align_corners = False
+
+    if antialias is not None:
+        raise ValueError("antialias is not supported in paddle backend")
+
+    return paddle.nn.functional.interpolate(
+        x,
+        size,
+        mode=interpolation_method,
+        align_corners=align_corners,
+        scale_factor=scale_factor,
+    )
 
 
 def adaptive_max_pool2d(