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tft.max

Computes the maximum of the values of a Tensor 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 SparseTensor missing values will be used in return value: for float, NaN is used and for other dtypes the min is used.

x A Tensor or SparseTensor.
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.

A Tensor. Has the same type as x.

TypeError If the type of x is not supported.