Counts the number of occurrences of each value in an integer array.
tf.raw_ops.SparseBincount(
indices, values, dense_shape, size, weights, binary_output=False, name=None
)
Outputs a vector with length size and the same dtype as weights. If
weights are empty, then index i stores the number of times the value i is
counted in arr. If weights are non-empty, then index i stores the sum of
the value in weights at each index where the corresponding value in arr is
i.
Values in arr outside of the range [0, size) are ignored.
Args |
|---|
indices
|
A Tensor of type int64. 2D int64 Tensor.
|
values
|
A Tensor. Must be one of the following types: int32, int64.
1D int Tensor.
|
dense_shape
|
A Tensor of type int64. 1D int64 Tensor.
|
size
|
A Tensor. Must have the same type as values.
non-negative int scalar Tensor.
|
weights
|
A Tensor. Must be one of the following types: int32, int64, float32, float64.
is an int32, int64, float32, or float64 Tensor with the same
shape as input, or a length-0 Tensor, in which case it acts as all weights
equal to 1.
|
binary_output
|
An optional bool. Defaults to False.
bool; Whether the kernel should count the appearance or number of occurrences.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor. Has the same type as weights.
|
