tf.math.top_k

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Finds values and indices of the k largest entries for the last dimension.

View aliases

Main aliases

tf.nn.top_k

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.math.top_k, tf.compat.v1.nn.top_k, tf.compat.v2.math.top_k, tf.compat.v2.nn.top_k

tf.math.top_k(
    input, k=1, sorted=True, name=None
)

If the input is a vector (rank=1), finds the k largest entries in the vector and outputs their values and indices as vectors. Thus values[j] is the j-th largest entry in input, and its index is indices[j].

For matrices (resp. higher rank input), computes the top k entries in each row (resp. vector along the last dimension). Thus,

values.shape = indices.shape = input.shape[:-1] + [k]

If two elements are equal, the lower-index element appears first.

Args:

input: 1-D or higher Tensor with last dimension at least k.
k: 0-D int32 Tensor. Number of top elements to look for along the last dimension (along each row for matrices).
sorted: If true the resulting k elements will be sorted by the values in descending order.
name: Optional name for the operation.

Returns:

values: The k largest elements along each last dimensional slice.
indices: The indices of values within the last dimension of input.