tft.min | TFX | TensorFlow (original) (raw)
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. |
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Last updated 2024-11-01 UTC.