tft.min
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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.
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Last updated 2026-10-30 UTC.
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View source on GitHub