tft.max

Computes the maximum of the values of x over the whole dataset.

tft.max(
    x: common_types.TensorType,
    reduce_instance_dims: bool = True,
    name: Optional[str] = None
) -> tf.Tensor

In the case of a CompositeTensor missing values will be used in return value: for float, NaN is used and for other dtypes the min is used.

Args
`x`	A `Tensor`, `SparseTensor`, or `RaggedTensor`.
`reduce_instance_dims`	By default collapses the batch and instance dimensions to arrive at a single scalar output. If False, only collapses the batch dimension and outputs a vector of the same shape as the input.
`name`	(Optional) A name for this operation.

Returns
A `Tensor`. Has the same type as `x`.

Raises
`TypeError`	If the type of `x` is not supported.

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Last updated 2024-04-26 UTC.

Args