tf.math.reduce_max

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Computes the maximum of elements across dimensions of a tensor.

tf.math.reduce_max(
    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:

Returns:

The reduced tensor.

Numpy Compatibility

Equivalent to np.max