tf.math.unsorted_segment_max

Defined in generated file: python/ops/gen_math_ops.py

免费成长做爱直播有哪些Computes the maximum along segments of a tensor.

Aliases:

  • tf.compat.v1.math.unsorted_segment_max
  • tf.compat.v1.unsorted_segment_max
  • tf.compat.v2.math.unsorted_segment_max
tf.math.unsorted_segment_max(
    data,
    segment_ids,
    num_segments,
    name=None
)

Read for an explanation of segments.

This operator is similar to the unsorted segment sum operator found (here)免费成长做爱直播有哪些. Instead of computing the sum over segments, it computes the maximum such that:

\(outputi = \max{j...} data[j...]\) where max is over tuples j... such that segment_ids[j...] == i.

If the maximum is empty for a given segment ID i, it outputs the smallest possible value for the specific numeric type, output[i] = numeric_limits<T>::lowest().

If the given segment ID i免费成长做爱直播有哪些 is negative, then the corresponding value is dropped, and will not be included in the result.

For example:

c = tf.constant([[1,2,3,4], [5,6,7,8], [4,3,2,1]])
tf.unsorted_segment_max(c, tf.constant([0, 1, 0]), num_segments=2)
# ==> [[ 4,  3, 3, 4],
#       [5,  6, 7, 8]]

Args:

  • data: A Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, int64, bfloat16, uint16, half, uint32, uint64.
  • segment_ids: A Tensor. Must be one of the following types: int32, int64. A tensor whose shape is a prefix of data.shape.
  • num_segments: A Tensor. Must be one of the following types: int32, int64.
  • name: A name for the operation (optional).

Returns:

A Tensor. Has the same type as data.

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