tf.experimental.numpy.array

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

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.

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Last updated 2024-04-26 UTC.