tf_agents.bandits.agents.exp3_agent.selective_sum
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Sums entries in values
, partitioned using partitions
.
tf_agents.bandits.agents.exp3_agent.selective_sum(
values: tf_agents.typing.types.Tensor
,
partitions: tf_agents.typing.types.Int
,
num_partitions: int
) -> tf_agents.typing.types.Tensor
For example,
# Returns `[0 + 4 + 5, 2 + 3 + 4]` i.e. `[9, 6]`.
selective_sum(values=[0, 1, 2, 3, 4, 5],
partitions=[0, 1, 1, 1, 0, 0]),
num_partitions=2)
Args |
values
|
a Tensor with numerical type.
|
partitions
|
an integer Tensor with the same shape as values . Entry
partitions[i] indicates the partition to which values[i] belongs.
|
num_partitions
|
the number of partitions. All values in partitions must
lie in [0, num_partitions) .
|
Returns |
A vector of size num_partitions with the same dtype as values . Entry i
is the sum of all entries in values belonging to partition i .
|
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Last updated 2024-04-26 UTC.
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