TensorFlow 1 version
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    View source on GitHub
  
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Converts a SparseTensor into a dense tensor.
tf.sparse.to_dense(
    sp_input, default_value=None, validate_indices=True, name=None
)
This op is a convenience wrapper around sparse_to_dense for SparseTensors.
For example, if sp_input has shape [3, 5] and non-empty string values:
[0, 1]: a
[0, 3]: b
[2, 0]: c
and default_value is x, then the output will be a dense [3, 5]
string tensor with values:
[[x a x b x]
 [x x x x x]
 [c x x x x]]
Indices must be without repeats.  This is only
tested if validate_indices is True.
Args | |
|---|---|
sp_input
 | 
The input SparseTensor.
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default_value
 | 
Scalar value to set for indices not specified in
sp_input.  Defaults to zero.
 | 
validate_indices
 | 
A boolean value.  If True, indices are checked to make
sure they are sorted in lexicographic order and that there are no repeats.
 | 
name
 | 
A name prefix for the returned tensors (optional). | 
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.
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Raises | |
|---|---|
TypeError
 | 
If sp_input is not a SparseTensor.
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  TensorFlow 1 version
    View source on GitHub