TensorFlow 1 version | View source on GitHub |
Type specification for tf.data.Dataset
.
tf.data.DatasetSpec(
element_spec, dataset_shape=()
)
See tf.TypeSpec
for more information about TensorFlow type specifications.
dataset = tf.data.Dataset.range(3)
tf.data.DatasetSpec.from_value(dataset)
DatasetSpec(TensorSpec(shape=(), dtype=tf.int64, name=None), TensorShape([]))
Attributes | |
---|---|
value_type
|
The Python type for values that are compatible with this TypeSpec. |
Methods
from_value
@staticmethod
from_value( value )
Creates a DatasetSpec
for the given tf.data.Dataset
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.