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tf.raw_ops.SparseCross
Generates sparse cross from a list of sparse and dense tensors.
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). | 
| Returns | |
|---|---|
A tuple of Tensor objects (output_indices, output_values, output_shape). | 
     |
output_indices | 
      A Tensor of type int64. | 
     
output_values | 
      A Tensor of type out_type. | 
     
output_shape | 
      A Tensor of type int64. | 
     
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
 https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/SparseCross