tft.min

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

tft.min(
    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 max 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 `Tensor` of the same shape as the input.
`name`	(Optional) A name for this operation.

Returns
A `Tensor` with 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.

Args