Floor_divide

ivy/functional/frontends/paddle/tensor/math.py

@@ -408,6 +408,12 @@ def prod(x, axis=None, keepdim=False, dtype=None, name=None):
     return ivy.prod(x, axis=axis, keepdims=keepdim, dtype=dtype)
 
 
+@with_supported_dtypes({"2.5.1 and below": ("float32", "float64")}, "paddle")
+@to_ivy_arrays_and_back
+def floor_divide(x, y, name=None):
+    return ivy.floor_divide(x, y)
+
+
 @with_supported_dtypes({"2.5.0 and below": "bool"}, "paddle")
 @to_ivy_arrays_and_back
 def any(x, axis=None, keepdim=False, name=None):

ivy_tests/test_ivy/test_frontends/test_paddle/test_tensor/test_math.py

@@ -1818,6 +1818,41 @@ def test_paddle_any(
     )
 
 
+# floor_divide
+@handle_frontend_test(
+    fn_tree="paddle.tensor.math.floor_divide",
+    dtype_and_x=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("valid"),
+        min_value=-10,
+        max_value=10,
+        num_arrays=2,
+        allow_inf=False,
+        shared_dtype=True,
+    ),
+)
+def test_paddle_floor_divide(
+    *,
+    dtype_and_x,
+    on_device,
+    fn_tree,
+    frontend,
+    backend_fw,
+    test_flags,
+):
+    input_dtype, x = dtype_and_x
+    helpers.test_frontend_function(
+        input_dtypes=input_dtype,
+        frontend=frontend,
+        backend_to_test=backend_fw,
+        fn_tree=fn_tree,
+        test_flags=test_flags,
+        on_device=on_device,
+        x=x[0],
+        y=x[1],
+        atol=1e-5,
+    )
+
+
 # diff
 @handle_frontend_test(
     fn_tree="paddle.tensor.math.diff",