TensorFlow 1 version | View source on GitHub |
Type specification for a tf.RaggedTensor
.
tf.RaggedTensorSpec(
shape=None, dtype=tf.dtypes.float32, ragged_rank=None,
row_splits_dtype=tf.dtypes.int64
)
Args | |
---|---|
shape
|
The shape of the RaggedTensor, or None to allow any shape. If
a shape is specified, then all ragged dimensions must have size None .
|
dtype
|
tf.DType of values in the RaggedTensor.
|
ragged_rank
|
Python integer, the ragged rank of the RaggedTensor
to be described. Defaults to shape.ndims - 1 .
|
row_splits_dtype
|
dtype for the RaggedTensor's row_splits tensor.
One of tf.int32 or tf.int64 .
|
Attributes | |
---|---|
value_type
|
The Python type for values that are compatible with this TypeSpec. |
Methods
from_value
@classmethod
from_value( value )
is_compatible_with
is_compatible_with(
spec_or_value
)
Returns true if spec_or_value
is compatible with this TypeSpec.
most_specific_compatible_type
most_specific_compatible_type(
other
)
Returns the most specific TypeSpec compatible with self
and other
.
Args | |
---|---|
other
|
A TypeSpec .
|
Raises | |
---|---|
ValueError
|
If there is no TypeSpec that is compatible with both self
and other .
|
__eq__
__eq__(
other
)
Return self==value.
__ne__
__ne__(
other
)
Return self!=value.