Concat#
Versioned name: Concat-1
Category: Data movement
Short description: Concatenates arbitrary number of input tensors to a single output tensor along one axis.
Attributes:
axis
Description: axis specifies dimension to concatenate along
Range of values: integer number. Negative value means counting dimension from the end. The range is
[-R, R-1]
, whereR
is the rank of all inputs.Type: int
Required: yes
Inputs:
1..N: Arbitrary number of input tensors of type T. Types of all tensors should match. Rank of all tensors should match. The rank is positive, so scalars as inputs are not allowed. Shapes for all inputs should match at every position except
axis
position. At least one input is required.
Outputs:
1: Tensor of the same type T as input tensor and shape
[d1, d2, ..., d_axis, ...]
, whered_axis
is a sum of sizes of input tensors alongaxis
dimension.
Types
T: any numeric type.
Examples
<layer id="1" type="Concat">
<data axis="1" />
<input>
<port id="0">
<dim>1</dim>
<dim>8</dim> <!-- axis for concatenation -->
<dim>50</dim>
<dim>50</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>16</dim> <!-- axis for concatenation -->
<dim>50</dim>
<dim>50</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>32</dim> <!-- axis for concatenation -->
<dim>50</dim>
<dim>50</dim>
</port>
</input>
<output>
<port id="0">
<dim>1</dim>
<dim>56</dim> <!-- concatenated axis: 8 + 16 + 32 = 48 -->
<dim>50</dim>
<dim>50</dim>
</port>
</output>
</layer>
<layer id="1" type="Concat">
<data axis="-3" />
<input>
<port id="0">
<dim>1</dim>
<dim>8</dim> <!-- axis for concatenation -->
<dim>50</dim>
<dim>50</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>16</dim> <!-- axis for concatenation -->
<dim>50</dim>
<dim>50</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>32</dim> <!-- axis for concatenation -->
<dim>50</dim>
<dim>50</dim>
</port>
</input>
<output>
<port id="0">
<dim>1</dim>
<dim>56</dim> <!-- concatenated axis: 8 + 16 + 32 = 48 -->
<dim>50</dim>
<dim>50</dim>
</port>
</output>
</layer>