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Generates sparse cross from a list of sparse and dense tensors.
tf.sparse.cross( inputs, name=None, separator=None ) 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" Customized separator "Y":
inp_0 = tf.constant([['a'], ['b']])inp_1 = tf.constant([['c'], ['d']])output = tf.sparse.cross([inp_0, inp_1], separator='_Y_')output.values<tf.Tensor: shape=(2,), dtype=string, numpy=array([b'a_Y_c', b'b_Y_d'],dtype=object)>
Args | |
|---|---|
inputs | An iterable of Tensor or SparseTensor. |
name | Optional name for the op. |
separator | A string added between each string being joined. Defaults to 'X'. |
Returns | |
|---|---|
A SparseTensor of type string. |