Versioned name: Split-1
Category: Data movement operations
Short description: Split operation splits an input tensor into pieces of the same length along some axis.
Attributes
- num_splits
- Description: it specifies the number of outputs into which the initial "*data*" tensor will be split along *"axis"*
- Range of values: a positive integer less than or equal to the size of the dimension being split over
- Type: any integer type
- Default value: None
- Required: Yes
Inputs
- 1: "data" - A tensor of type T1. Required.
- 2: "axis" - axis along *"data"* to split. A scalar of type T2 with value from range
-rank(data) .. rank(data)-1
. Negative values address dimensions from the end. Required.
Outputs
- Multiple outputs: Tensors of the same type as the 1st input tensor. The shape of the i-th output has the same shape as the *"data"* except along dimension *"axis"* where the size is
data.shape[i]/num_splits
.
Detailed Description
Split operation splits the *"data"* input tensor into pieces of the same length along *"axis"*. The i-th shape of output tensor will be equal to the *"data"* shape except along dimension *"axis"* where the shape will be data.shape[i]/num_splits
. The sum of elements of split_lengths must match data.shape[axis]
.
Shape of output tensor will be:
\[ shape_output_tensor = shape_input_tensor[shape_input_tensor[0], shape_input_tensor[1], ... ,split_lengths[axis], ... shape_input_tensor[D-1]], where D rank of input tensor. \]
Types
- T1: arbitrary supported type.
- T2: any integer type.
Example
<layer id="1" type="Split" ...>
<data num_splits="3" />
<input>
<port id="0">
<dim>6</dim>
<dim>12</dim>
<dim>10</dim>
<dim>24</dim>
</port>
<port id="1">
</port>
</input>
<output>
<port id="2">
<dim>6</dim>
<dim>4</dim>
<dim>10</dim>
<dim>24</dim>
</port>
<port id="3">
<dim>6</dim>
<dim>4</dim>
<dim>10</dim>
<dim>24</dim>
</port>
<port id="4">
<dim>6</dim>
<dim>4</dim>
<dim>10</dim>
<dim>24</dim>
</port>
</output>
</layer>