View source on GitHub |
Converts a SparseTensor
into a dense tensor.
tf.sparse.to_dense(
sp_input, default_value=None, validate_indices=True, name=None
)
For this sparse tensor with three non-empty values:
sp_input = tf.sparse.SparseTensor(
dense_shape=[3, 5],
values=[7, 8, 9],
indices =[[0, 1],
[0, 3],
[2, 0]])
The output will be a dense [3, 5]
tensor with values:
tf.sparse.to_dense(sp_input).numpy()
array([[0, 7, 0, 8, 0],
[0, 0, 0, 0, 0],
[9, 0, 0, 0, 0]], dtype=int32)
Returns | |
---|---|
A dense tensor with shape sp_input.dense_shape and values specified by
the non-empty values in sp_input . Indices not in sp_input are assigned
default_value .
|
Raises | |
---|---|
TypeError
|
If sp_input is not a SparseTensor .
|