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tft.min

tft.min(
    x,
    reduce_instance_dims=True,
    name=None
)

Computes the minimum of the values of a Tensor over the whole dataset.

In the case of a SparseTensor 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 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 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.