Versioned name : Select-1
Category : Conditions
Short description : Select returns a tensor filled with the elements from the second or the third inputs, depending on the condition (the first input) value.
Select takes elements from
then input tensor or the
else input tensor based on a condition mask provided in the first input
cond. Before performing selection, input tensors
else are broadcasted to each other if their shapes are different and
auto_broadcast attributes is not
none. Then the
cond tensor is one-way broadcasted to the resulting shape of broadcasted
else. Broadcasting is performed according to
Description : specifies rules used for auto-broadcasting of input tensors.
Range of values :
none - no auto-broadcasting is allowed, all input shapes should match
numpy - numpy broadcasting rules, aligned with ONNX Broadcasting. Description is available in ONNX docs.
Type : string
Default value : “numpy”
Required : no
condtensor with selection mask of type
boolean. The tensor can be 0D.
thenthe tensor with elements to take where the corresponding element in
condis true. Arbitrary type that should match type of
elsethe tensor with elements to take where the corresponding element in
condis false. Arbitrary type that should match type of
1 : blended output tensor that is tailored from values of inputs tensors
condand broadcasting rules. It has the same type of elements as
<layer ... type="Select"> <input> <port id="0"> <!-- cond value is: [[false, false], [true, false], [true, true]] --> <dim>3</dim> <dim>2</dim> </port> <port id="1"> <!-- then value is: [[-1, 0], [1, 2], [3, 4]] --> <dim>3</dim> <dim>2</dim> </port> <port id="2"> <!-- else value is: [[11, 10], [9, 8], [7, 6]] --> <dim>3</dim> <dim>2</dim> </port> </input> <output> <port id="1"> <!-- output value is: [[11, 10], [1, 8], [3, 4]] --> <dim>3</dim> <dim>2</dim> </port> </output> </layer>