|TensorFlow 1 version||View source on GitHub|
Computes the minimum of elements across dimensions of a tensor.
tf.math.reduce_min( input_tensor, axis=None, keepdims=False, name=None )
Used in the notebooks
|Used in the guide||Used in the tutorials|
input_tensor along the dimensions given in
keepdims is true, the rank of the tensor is reduced by 1 for each
keepdims is true, the reduced dimensions
are retained with length 1.
axis is None, all dimensions are reduced, and a
tensor with a single element is returned.
||The tensor to reduce. Should have real numeric type.|
The dimensions to reduce. If
||If true, retains reduced dimensions with length 1.|
||A name for the operation (optional).|
|The reduced tensor.|
a = tf.constant([[1, 2], [3, 4]]) tf.reduce_min(a)
Equivalent to np.min