tfm.vision.sampling_ops.indices_to_dense_vector
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Creates dense vector with indices set to specific value and rest to zeros.
tfm.vision.sampling_ops.indices_to_dense_vector(
indices, size, indices_value=1.0, default_value=0, dtype=tf.float32
)
This function exists because it is unclear if it is safe to use
tf.sparse_to_dense(indices, [size], 1, validate_indices=False)
with indices which are not ordered.
This function accepts a dynamic size (e.g. tf.shape(tensor)[0])
Args |
|---|
indices
|
1d Tensor with integer indices which are to be set to
indices_values.
|
size
|
scalar with size (integer) of output Tensor.
|
indices_value
|
values of elements specified by indices in the output vector
|
default_value
|
values of other elements in the output vector.
|
dtype
|
data type.
|
Returns |
|---|
|
dense 1D Tensor of shape [size] with indices set to indices_values and the
rest set to default_value.
|
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Last updated 2024-02-02 UTC.
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View source on GitHub