TensorFlow 1 version | View source on GitHub |
Type specification for a tf.IndexedSlices
.
Inherits From: TypeSpec
tf.IndexedSlicesSpec(
shape=None, dtype=tf.dtypes.float32, indices_dtype=tf.dtypes.int64,
dense_shape_dtype=None, indices_shape=None
)
Args | |
---|---|
shape
|
The dense shape of the IndexedSlices , or None to allow any
dense shape.
|
dtype
|
tf.DType of values in the IndexedSlices .
|
indices_dtype
|
tf.DType of the indices in the IndexedSlices . One
of tf.int32 or tf.int64 .
|
dense_shape_dtype
|
tf.DType of the dense_shape in the IndexedSlices .
One of tf.int32 , tf.int64 , or None (if the IndexedSlices has
no dense_shape tensor).
|
indices_shape
|
The shape of the indices component, which indicates
how many slices are in the IndexedSlices .
|
Attributes | |
---|---|
value_type
|
Methods
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.