tf.sparse_reset_shape(sp_input, new_shape=None)
See the guide: Sparse Tensors > Manipulation
Resets the shape of a SparseTensor
with indices and values unchanged.
If new_shape
is None, returns a copy of sp_input
with its shape reset to the tight bounding box of sp_input
.
If new_shape
is provided, then it must be larger or equal in all dimensions compared to the shape of sp_input
. When this condition is met, the returned SparseTensor will have its shape reset to new_shape
and its indices and values unchanged from that of sp_input.
For example:
Consider a sp_input
with shape [2, 3, 5]:
[0, 0, 1]: a [0, 1, 0]: b [0, 2, 2]: c [1, 0, 3]: d
It is an error to set new_shape
as [3, 7] since this represents a rank-2 tensor while sp_input
is rank-3. This is either a ValueError during graph construction (if both shapes are known) or an OpError during run time.
Setting new_shape
as [2, 3, 6] will be fine as this shape is larger or equal in every dimension compared to the original shape [2, 3, 5].
On the other hand, setting new_shape as [2, 3, 4] is also an error: The third dimension is smaller than the original shape [2, 3, 5] (and an InvalidArgumentError
will be raised).
If new_shape
is None, the returned SparseTensor will have a shape [2, 3, 4], which is the tight bounding box of sp_input
.
sp_input
: The input SparseTensor
.new_shape
: None or a vector representing the new shape for the returned SparseTensor
.A SparseTensor
indices and values unchanged from input_sp
. Its shape is new_shape
if that is set. Otherwise it is the tight bounding box of input_sp
TypeError
: If sp_input
is not a SparseTensor
.ValueError
: If new_shape
represents a tensor with a different rank from that of sp_input
(if shapes are known when graph is constructed). OpError:new_shape
has dimension sizes that are too small.Defined in tensorflow/python/ops/sparse_ops.py
.
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/sparse_reset_shape