Removing old doc.

bindings/python/py_src/safetensors/flax.py

@@ -106,9 +106,6 @@ def load_file(filename: Union[str, os.PathLike]) -> Dict[str, Array]:
     Args:
         filename (`str`, or `os.PathLike`)):
             The name of the file which contains the tensors
-        device (`Dict[str, any]`, *optional*, defaults to `cpu`):
-            The device where the tensors need to be located after load.
-            available options are all regular flax device locations
 
     Returns:
         `Dict[str, Array]`: dictionary that contains name as key, value as `Array`

bindings/python/py_src/safetensors/numpy.py

@@ -111,9 +111,6 @@ def load_file(filename: Union[str, os.PathLike]) -> Dict[str, np.ndarray]:
     Args:
         filename (`str`, or `os.PathLike`)):
             The name of the file which contains the tensors
-        device (`Dict[str, any]`, *optional*, defaults to `cpu`):
-            The device where the tensors need to be located after load.
-            available options are all regular numpy device locations
 
     Returns:
         `Dict[str, np.ndarray]`: dictionary that contains name as key, value as `np.ndarray`

bindings/python/py_src/safetensors/tensorflow.py

@@ -105,9 +105,6 @@ def load_file(filename: Union[str, os.PathLike]) -> Dict[str, tf.Tensor]:
     Args:
         filename (`str`, or `os.PathLike`)):
             The name of the file which contains the tensors
-        device (`Dict[str, any]`, *optional*, defaults to `cpu`):
-            The device where the tensors need to be located after load.
-            available options are all regular tensorflow device locations
 
     Returns:
         `Dict[str, tf.Tensor]`: dictionary that contains name as key, value as `tf.Tensor`

bindings/python/tests/test_flax_comparison.py

@@ -41,6 +41,17 @@ def test_zero_sized(self):
         # instead
         self.assertEqual(data["test"].shape, reloaded["test"].shape)
 
+    def test_gpu(self):
+        data = {
+            "test": jnp.zeros((2, 0), dtype=jnp.float32),
+        }
+        local = "./tests/data/out_safe_flat_mmap_small2.safetensors"
+        save_file(data.copy(), local)
+        reloaded = load_file(local, device="cuda")
+        # Empty tensor != empty tensor on numpy, so comparing shapes
+        # instead
+        self.assertEqual(data["test"].shape, reloaded["test"].shape)
+
     def test_deserialization_safe(self):
         weights = load_file(self.sf_filename)