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TensorFlow variant of NumPy's array
.
tf.experimental.numpy.array(
val, dtype=None, copy=True, ndmin=0
)
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
.