Fixed a bug

```python
import dpctl.tensor
X = dpt.usm_ndarray((4,4), "i4")
X[:] = 4  # used to raise an error
```

Author: oleksandr-pavlyk

dpctl/tensor/_copy_utils.py

@@ -99,9 +99,10 @@ def copy_from_numpy(np_ary, usm_type="device", queue=None):
 def copy_from_numpy_into(dst, np_ary):
     if not isinstance(np_ary, np.ndarray):
         raise TypeError("Expected numpy.ndarray, got {}".format(type(np_ary)))
+    src_ary = np.broadcast_to(np.asarray(np_ary, dtype=dst.dtype), dst.shape)
     for i in range(dst.size):
         mi = np.unravel_index(i, dst.shape)
-        host_buf = np.array(np_ary[mi], dtype=dst.dtype, ndmin=1).view("u1")
+        host_buf = np.array(src_ary[mi], ndmin=1).view("u1")
         usm_mem = dpm.as_usm_memory(dst[mi])
         usm_mem.copy_from_host(host_buf)