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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
)
Used in the notebooks
| Used in the guide | Used in the tutorials |
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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 | |
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sp_input
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The input SparseTensor.
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default_value
|
Scalar value to set for indices not specified in
sp_input. Defaults to zero.
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validate_indices
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A boolean value. If True, indices are checked to make
sure they are sorted in lexicographic order and that there are no repeats.
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name
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A name prefix for the returned tensors (optional). |
Returns | |
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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 | |
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TypeError
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If sp_input is not a SparseTensor.
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