Constructs a constant RaggedTensor from a nested Python list.
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Compat aliases for migration
See Migration guide for more details.
tf.ragged.constant(
pylist, dtype=None, ragged_rank=None, inner_shape=None, name=None,
row_splits_dtype=tf.dtypes.int64
)
Example:
tf.ragged.constant([[1, 2], [3], [4, 5, 6]])
<tf.RaggedTensor [[1, 2], [3], [4, 5, 6]]>
All scalar values in pylist
must have the same nesting depth K
, and the
returned RaggedTensor
will have rank K
. If pylist
contains no scalar
values, then K
is one greater than the maximum depth of empty lists in
pylist
. All scalar values in pylist
must be compatible with dtype
.
Args | |
---|---|
pylist
|
A nested list , tuple or np.ndarray . Any nested element that
is not a list , tuple or np.ndarray must be a scalar value
compatible with dtype .
|
dtype
|
The type of elements for the returned RaggedTensor . If not
specified, then a default is chosen based on the scalar values in
pylist .
|
ragged_rank
|
An integer specifying the ragged rank of the returned
RaggedTensor . Must be nonnegative and less than K . Defaults to
max(0, K - 1) if inner_shape is not specified. Defaults to `max(0, K
|
Returns | |
---|---|
A potentially ragged tensor with rank K and the specified ragged_rank ,
containing the values from pylist .
|
Raises | |
---|---|
ValueError
|
If the scalar values in pylist have inconsistent nesting
depth; or if ragged_rank or inner_shape are incompatible with pylist .
|