SplitToSequence#
SplitToSequence - 11#
Version
name: SplitToSequence (GitHub)
domain: main
since_version: 11
function: False
support_level: SupportType.COMMON
shape inference: True
This version of the operator has been available since version 11.
Summary
Split a tensor into a sequence of tensors, along the specified ‘axis’. Lengths of the parts can be specified using argument ‘split’. ‘split’ must contain only positive numbers. ‘split’ is either a scalar (tensor of empty shape), or a 1-D tensor. If ‘split’ is a scalar, then ‘input’ will be split into equally sized chunks(if possible). Last chunk will be smaller if the ‘input’ size along the given axis ‘axis’ is not divisible by ‘split’. Otherwise, the tensor is split into ‘size(split)’ chunks, with lengths of the parts on ‘axis’ specified in ‘split’. In this scenario, the sum of entries in ‘split’ must be equal to the dimension size of input tensor on ‘axis’.
Attributes
axis: Which axis to split on. A negative value means counting dimensions from the back. Accepted range is [-rank, rank-1]. Default value is
0.keepdims: Keep the split dimension or not. Default 1, which means we keep split dimension. If input ‘split’ is specified, this attribute is ignored. Default value is
1.
Inputs
Between 1 and 2 inputs.
input (heterogeneous) - T: The tensor to split
split (optional, heterogeneous) - I: Length of each output. It can be either a scalar(tensor of empty shape), or a 1-D tensor. All values must be >= 0.
Outputs
output_sequence (heterogeneous) - S: One or more outputs forming a sequence of tensors after splitting
Type Constraints
T in ( tensor(bool), tensor(complex128), tensor(complex64), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) ): Constrain input types to all tensor types.
I in ( tensor(int32), tensor(int64) ): Constrain split size to integral tensor.
S in ( seq(tensor(bool)), seq(tensor(complex128)), seq(tensor(complex64)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)) ): Constrain output types to all tensor types.
Examples