fix: add inplace support to torch.nn.functional.celu frontend

Author: Sam-Armstrong

ivy/functional/frontends/torch/nn/functional/non_linear_activation_functions.py

@@ -15,7 +15,10 @@
     "torch",
 )
 def celu(input, alpha=1.0, inplace=False):
-    return ivy.celu(input, alpha=alpha)
+    ret = ivy.celu(input, alpha=alpha)
+    if inplace:
+        return ivy.inplace_update(input, ret)
+    return ret
 
 
 def celu_(input, alpha=1.0):

ivy_tests/test_ivy/test_frontends/test_torch/test_nn/test_functional/test_non_linear_activation_functions.py

@@ -108,7 +108,6 @@ def _x_and_scaled_attention(draw, dtypes):
         min_num_dims=1,
     ),
     alpha=helpers.floats(min_value=0.1, max_value=1.0),
-    test_inplace=st.booleans(),
     test_with_out=st.just(False),
 )
 def test_torch_celu(