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.

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.

A Tensor with the same type as x.

TypeError If the type of x is not supported.