Generates sparse cross from a list of sparse and dense tensors.
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tf.raw_ops.SparseCross(
indices,
values,
shapes,
dense_inputs,
hashed_output,
num_buckets,
hash_key,
out_type,
internal_type,
name=None
)
The op takes two lists, one of 2D SparseTensor
and one of 2D Tensor
, each
representing features of one feature column. It outputs a 2D SparseTensor
with
the batchwise crosses of these features.
For example, if the inputs are
inputs[0]: SparseTensor with shape = [2, 2]
[0, 0]: "a"
[1, 0]: "b"
[1, 1]: "c"
inputs[1]: SparseTensor with shape = [2, 1]
[0, 0]: "d"
[1, 0]: "e"
inputs[2]: Tensor [["f"], ["g"]]
then the output will be
shape = [2, 2]
[0, 0]: "a_X_d_X_f"
[1, 0]: "b_X_e_X_g"
[1, 1]: "c_X_e_X_g"
if hashed_output=true then the output will be
shape = [2, 2]
[0, 0]: FingerprintCat64(
Fingerprint64("f"), FingerprintCat64(
Fingerprint64("d"), Fingerprint64("a")))
[1, 0]: FingerprintCat64(
Fingerprint64("g"), FingerprintCat64(
Fingerprint64("e"), Fingerprint64("b")))
[1, 1]: FingerprintCat64(
Fingerprint64("g"), FingerprintCat64(
Fingerprint64("e"), Fingerprint64("c")))
Args | |
---|---|
indices
|
A list of Tensor objects with type int64 .
2-D. Indices of each input SparseTensor .
|
values
|
A list of Tensor objects with types from: int64 , string .
1-D. values of each SparseTensor .
|
shapes
|
A list with the same length as indices of Tensor objects with type int64 .
1-D. Shapes of each SparseTensor .
|
dense_inputs
|
A list of Tensor objects with types from: int64 , string .
2-D. Columns represented by dense Tensor .
|
hashed_output
|
A bool .
If true, returns the hash of the cross instead of the string.
This will allow us avoiding string manipulations.
|
num_buckets
|
An int that is >= 0 . It is used if hashed_output is true.
output = hashed_value%num_buckets if num_buckets > 0 else hashed_value.
|
hash_key
|
An int .
Specify the hash_key that will be used by the FingerprintCat64
function to combine the crosses fingerprints.
|
out_type
|
A tf.DType from: tf.int64, tf.string .
|
internal_type
|
A tf.DType from: tf.int64, tf.string .
|
name
|
A name for the operation (optional). |