tf.math.reduce_min

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Computes the minimum of elements across dimensions of a tensor.

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Main aliases

tf.reduce_min

tf.math.reduce_min(
    input_tensor, axis=None, keepdims=False, name=None
)

Reduces input_tensor along the dimensions given in axis. Unless keepdims is true, the rank of the tensor is reduced by 1 for each entry in axis. If keepdims is true, the reduced dimensions are retained with length 1.

If axis is None, all dimensions are reduced, and a tensor with a single element is returned.

Args
input_tensor	The tensor to reduce. Should have real numeric type.
axis	The dimensions to reduce. If None (the default), reduces all dimensions. Must be in the range [-rank(input_tensor), rank(input_tensor)).
keepdims	If true, retains reduced dimensions with length 1.
name	A name for the operation (optional).

Returns
The reduced tensor.

For example:

a = tf.constant([[1, 2], [3, 4]]) tf.reduce_min(a)

Numpy Compatibility

Equivalent to np.min