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.

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.

Last updated 2024-11-01 UTC.

tft.max Stay organized with collections Save and categorize content based on your preferences.