tf.math.reduce_min

Computes the minimum of elements across dimensions of a tensor.

Used in the notebooks

Used in the guide Used in the tutorials

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.

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).

The reduced tensor.

For example:

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

Numpy Compatibility

Equivalent to np.min