tf.keras.KerasTensor

Symbolic tensor -- encapsulates a shape and a dtype.

tf.keras.KerasTensor(
    shape,
    dtype='float32',
    sparse=False,
    record_history=True,
    name=None
)

You can use KerasTensor instances to build computation graphs of Keras operations, such as keras.Function objects or Functional keras.models.Model objects.

Example:

x = keras.KerasTensor(shape=(3, 4), dtype="float32")
x.shape
(3, 4)
x.dtype
float32

Calling a Keras operation (including a layer or a model) on a KerasTensor instance will return another KerasTensor instance with the appropriate shape and dtype. This is called a "symbolic call" (since there is no actual data involved). The computation of the correct output shape and dtype is called "static shape inference".

ndim

Methods

reshape

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reshape(
    newshape
)

squeeze

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squeeze(
    axis=None
)

__abs__

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__abs__()

__add__

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__add__(
    other
)

__and__

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__and__(
    other
)

__array__

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__array__()

__bool__

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__bool__()

__div__

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__div__(
    other
)

__floordiv__

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__floordiv__(
    other
)

__ge__

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__ge__(
    other
)

Return self>=value.

__getitem__

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__getitem__(
    key
)

__gt__

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__gt__(
    other
)

Return self>value.

__invert__

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__invert__()

__iter__

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__iter__()

__le__

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__le__(
    other
)

Return self<=value.

__lt__

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__lt__(
    other
)

Return self<value.

__matmul__

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__matmul__(
    other
)

__mod__

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__mod__(
    other
)

__mul__

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__mul__(
    other
)

__ne__

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__ne__(
    other
)

Return self!=value.

__neg__

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__neg__()

__or__

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__or__(
    other
)

__pow__

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__pow__(
    other
)

__radd__

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__radd__(
    other
)

__rand__

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__rand__(
    other
)

__rdiv__

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__rdiv__(
    other
)

__rfloordiv__

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__rfloordiv__(
    other
)

__rmatmul__

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__rmatmul__(
    other
)

__rmod__

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__rmod__(
    other
)

__rmul__

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__rmul__(
    other
)

__ror__

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__ror__(
    other
)

__rpow__

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__rpow__(
    other
)

__rsub__

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__rsub__(
    other
)

__rtruediv__

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__rtruediv__(
    other
)

__rxor__

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__rxor__(
    other
)

__sub__

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__sub__(
    other
)

__truediv__

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__truediv__(
    other
)

__xor__

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__xor__(
    other
)