added tests and suggested changes

ACKNOWLEDGMENTS.md

@@ -7,6 +7,7 @@ with a short description of your contribution(s) below. For example:
 
 MLX was developed with contributions from the following individuals:
 
+- Manish Aradwad: Added support for deepcopy.
 - Nripesh Niketan: Added `softsign`, `softmax`, `hardswish`, `logsoftmax` activation functions. Added `dropout3d` ops.
 - Juarez Bochi: Fixed bug in cross attention.
 - Justin Deschenaux: Sine, Cosine, arange, randint, truncated normal, bernoulli, lion optimizer, Dropout2d, linear and logistic regression python example.

python/mlx/nn/layers/base.py

@@ -441,8 +441,7 @@ class Module(dict):
         self.train(False)
 
     def __getstate__(self):
-        state = self.__dict__.copy()
+        return self.__dict__.copy()
-        return state
 
     def __setstate__(self, state):
         self.__dict__.update(state)

python/tests/test_nn.py

@@ -840,6 +840,19 @@ class TestNN(mlx_tests.MLXTestCase):
         self.assertTrue(y.shape, x.shape)
         self.assertTrue(y.dtype, mx.float16)
 
+    def test_deepcopy(self):
+        import copy
+
+        layer = nn.Linear(input_dims=4, output_dims=8)
+        layer_copy = copy.deepcopy(layer)
+
+        # Verify that the copied layer is not the same object as the original layer
+        self.assertIsNot(layer_copy, layer)
+
+        # Verify that the copied layer has the same attributes as the original layer
+        self.assertEqual(layer_copy.input_dims, layer.input_dims)
+        self.assertEqual(layer_copy.output_dims, layer.output_dims)
+
 
 if __name__ == "__main__":
     unittest.main()