tf.experimental.numpy.ndarray

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Equivalent of numpy.ndarray backed by TensorFlow tensors.

tf.experimental.numpy.ndarray(
    shape, dtype=float, buffer=None
)

This does not support all features of NumPy ndarrays e.g. strides and memory order since, unlike NumPy, the backing storage is not a raw memory buffer.

or if there are any differences in behavior.

Args
`shape`	The shape of the array. Must be a scalar, an iterable of integers or a `TensorShape` object.
`dtype`	Optional. The dtype of the array. Must be a python type, a numpy type or a tensorflow `DType` object.
`buffer`	Optional. The backing buffer of the array. Must have shape `shape`. Must be a `ndarray`, `np.ndarray` or a `Tensor`.

Raises
`ValueError`	If `buffer` is specified and its shape does not match `shape`.

Attributes
`T`
`data`	Tensor object containing the array data. This has a few key differences from the Python buffer object used in NumPy arrays. Tensors are immutable. So operations requiring in-place edit, e.g. setitem, are performed by replacing the underlying buffer with a new one. Tensors do not provide access to their raw buffer.
`dtype`
`ndim`
`shape`	Returns a tuple or tf.Tensor of array dimensions.
`size`	Returns the number of elements in the array.

Methods

`astype`

astype(
    dtype
)

`clip`

clip(
    a, a_min, a_max
)

TensorFlow variant of NumPy's clip.

Unsupported arguments: out, kwargs.

See the NumPy documentation for numpy.clip.

`from_tensor`

@classmethod
from_tensor(
    tensor
)

`ravel`

ravel(
    a
)

TensorFlow variant of NumPy's ravel.

Unsupported arguments: order.

See the NumPy documentation for numpy.ravel.

`reshape`

reshape(
    a, *newshape, **kwargs
)

`tolist`

tolist()

`transpose`

transpose(
    a, axes=None
)

TensorFlow variant of NumPy's transpose.

See the NumPy documentation for numpy.transpose.

`abs`

__abs__(
    x
)

TensorFlow variant of NumPy's absolute.

Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj.

See the NumPy documentation for numpy.absolute.

`add`

__add__(
    a, b
)

`bool`

__bool__()

`eq`

__eq__(
    a, b
)

`floordiv`

__floordiv__(
    a, b
)

`ge`

__ge__(
    a, b
)

`getitem`

__getitem__(
    slice_spec
)

Implementation of ndarray.getitem.

`gt`

__gt__(
    a, b
)

`invert`

__invert__(
    x
)

TensorFlow variant of NumPy's logical_not.

Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj.

See the NumPy documentation for numpy.logical_not.

`iter`

__iter__()

`le`

__le__(
    a, b
)

`len`

__len__()

`lt`

__lt__(
    a, b
)

`matmul`

__matmul__(
    a, b
)

`mod`

__mod__(
    a, b
)

`mul`

__mul__(
    a, b
)

`ne`

__ne__(
    a, b
)

`neg`

__neg__()

`nonzero`

__nonzero__()

`pos`

__pos__()

`pow`

__pow__(
    a, b
)

`radd`

__radd__(
    a, b
)

`rfloordiv`

__rfloordiv__(
    a, b
)

`rmatmul`

__rmatmul__(
    a, b
)

`rmod`

__rmod__(
    a, b
)

`rmul`

__rmul__(
    a, b
)

`rpow`

__rpow__(
    a, b
)

`rsub`

__rsub__(
    a, b
)

`rtruediv`

__rtruediv__(
    a, b
)

`sub`

__sub__(
    a, b
)

`truediv`

__truediv__(
    a, b
)

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Last updated 2021-02-18 UTC.