|---| | [ View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.21.0/tensorflow/python/ops/numpy_ops/np_array_ops.py#L217-L228) | TensorFlow variant of NumPy's `array`. tf.experimental.numpy.array( val, dtype=None, copy=True, ndmin=0 ) ### Used in the notebooks | Used in the guide | |---| | - [TF-NumPy Type Promotion](https://www.tensorflow.org/guide/tf_numpy_type_promotion) | Since Tensors are immutable, a copy is made only if val is placed on a different device than the current one. Even if `copy` is False, a new Tensor may need to be built to satisfy `dtype` and `ndim`. This is used only if `val` is an ndarray or a Tensor. See the NumPy documentation for [`numpy.array`](https://numpy.org/doc/stable/reference/generated/numpy.array.html).