# Supported ONNX Ops
Operator Support
snpe-onnx-to-dlc currently supports the following operators and
parameters:
| Operator | Opset Version
Supported | Notes |
| --- | --- | --- |
| Abs | 1,6,13 | |
| Add | 1,6,7,13,14 | |
| And | 1,7 | |
| AveragePool | 1,7,10,11,19,22 | |
| ArgMax | 1,11,12,13 | Only default value(0)
is supported for
select\_last\_index |
| ArgMin | 1,11,12,13 | Only default value(0)
is supported for
select\_last\_index |
| Asin | 7 | |
| Atan | 7 | |
| BatchNormalization | 1,6,7,9,14,15 | Momentum is not
supported. Only
default value (0) for
training\_mode is
supported. All
inputs after the
first must be
static. Only the
first output is
generated. |
| Ceil | 1,6,13 | |
| Clip | 1,6,11,12 | |
| Concat | 1,4,11,13 | |
| Constant | 1,9,11,12,13 | sparse tensor is not
currently supported. |
| ConstantOfShape | 9 | |
| Conv | 1,11,22 | “kernel\_shape” which
differs from that of
weights is not
supported. |
| ConvTranspose | 1,11,22 | |
| Cos | 7,22 | |
| CumSum | 11,14 | value of axis
attribute should be
in the range of
(-input\_rank,
>
>
> input\_rank ) |
| Cast | 1,6,9,13 | |
| DepthToSpace | 1,11,13 | |
| DequantizeLinear | 10,13,19,21 | |
| Div | 1,6,7,13,14 | |
| Dropout | 1,6,7,10 | Only test mode (i.e.
noop) is supported.
Mask output is not
generated. |
| Einsum | 12 | |
| Elu | 1,6,22 | |
| Equal | 1,7,11,13 | |
| Erf | 9,13 | Only certain cases
which can be matched
to GeLU will be
supported |
| Exp | 1,6,13 | |
| Expand | 8,13 | Static shape tensor
only supported |
| Flatten | 1,9,11,13 | |
| Floor | 1,6 | |
| Gather | 1,11,13 | |
| GatherElements | 11,13 | |
| GatherND | 11,12,13 | |
| Gelu | 20 | Value of approximate
attribute should be
none or tanh |
| Gemm | 1,6,7,9,11,13 | Gemm is only
supported in the
case where it is
used to emulate FC;
transA=0, transB=1,
broadcast=1. |
| GlobalAveragePool | 1,22 | Only Supports 3D,4D
& 5D inputs |
| GlobalMaxPool | 1,22 | Only Supports 3D,4D
& 5D inputs |
| Greater | 1,7,9,13 | |
| GreaterOrEqual | 12 | |
| GridSample | 16,20,22 | Only Supports 4D
& 5D inputs |
| GroupNormalization | 18,21 | |
| GRU | 1,7,14,22 | Custom
activations,
user-defined
activations and clip
are not supported. |
| HardSigmoid | 1,6 | |
| HardSwish | 14,22 | |
| Identity | 1,13,14,16 | |
| InstanceNormalization | 1,6,22 | |
| If | 1,11,13,16,19,21,23 | THEN and ELSE
branches can produce
more than one output
but the number of
outputs produced by
the THEN branch must
be equal to the
number of outputs
produced by the ELSE
branch.
The output shape and
data type of the
corresponding
outputs of the THEN
and ELSE branches
must be equal (i.e.,
shape and data type
of 1st output of
THEN branch must be
equal to those of
the ELSE branch, and
so on. |
| IsNaN | 9, 13, 20 | |
| IsInf | 10, 20 | |
| LayerNormalization | 17 | |
| LRN | 1,13 | |
| LeakyRelu | 1,6 | |
| Less | 1,7,9,13 | |
| LessOrEqual | 12 | |
| Log | 1,6,13 | |
| LogSoftmax | 1,11 | |
| LpNormalization | 1,22 | Only support
attribute p=2 |
| LpPool | 1,2,11,18,22 | |
| LSTM | 1,7,14,22 | Custom
activations,
user-defined
activations, clip
and input-forget
parameters are not
supported. Only
default value(0)
is supported for
layout |
| Matmul | 1,9,13 | |
| Max | 1,6,8,12,13 | |
| MaxPool | 1,8,10,11,12,22 | Only support
Dilations = 1. Only
support single
output, doesn’t
support Indices
output. |
| MaxRoiPool | 1,22 | |
| Min | 1,6,8,12,13 | |
| Mod | 10,13 | |
| Mul | 1,6,7,13,14 | |
| Neg | 1,6,13 | |
| NonMaxSuppression | 10,11 | |
| NonZero | 9,13 | |
| Not | 1 | |
| OneHot | 9,11 | |
| Or | 1,7 | |
| Pad | 1,2,11,13,18,19,21 | Constant, Reflect
& Edge padding mode
is supported. |
| Pow | 1,7,12,13,15 | |
| PRelu | 1,6,7,9 | Slope must be
static. |
| QLinearConv | 10 | Translate to Conv. |
| QLinearMatMul | 10,21 | Translate to MatMul. |
| QuantizeLinear | 10,13,19,21 | |
| RandomUniformLike | 1,22 | |
| Range | 11 | |
| Reciprocal | 1,6 | Translate to Div. |
| Reducel2 | 1,11,13,18 | |
| ReduceLogSumExp | 1,11,13,18 | Translate to
Log + ReduceSum + Exp |
| ReduceMax | 1,11,12,13,18,20 | |
| ReduceMean | 1,11,13,18 | |
| ReduceMin | 1,11,12,13,18,20 | |
| ReduceProd | 1,11,13,18 | |
| ReduceSum | 1,11,13 | |
| ReduceSumSquare | 1,11,13,18 | |
| Relu | 1,6 | |
| Reshape | 1,5,13,14 | Only default value(0)
is supported for
allow\_zero |
| Resize | 10,11,13,18,19 | Only 3D,4D & 5D
inputs are supported. |
| RoiAlign | 10,16,22 | Only output\_haf\_pixel
is supported for
coordinate
transformation mode |
| Round | 11,22 | |
| RNN | 1, 7 | Custom and
user-defined
activations
(activation\_alpha
and beta) are not
supported. |
| Scatter | 9,11 | |
| ScatterElements | 11,13,16 | |
| ScatterND | 11,13,16 | |
| Shape | 1,13,15 | Shape is only
supported at
conversion time. The
input to Shape and
all operators which
manipulate the
resulting output
shape (eg slice,
concat, etc) are
also computed at
conversion time. |
| Sign | 13 | |
| Sigmoid | 1,6,13 | |
| Sin | 7,22 | |
| Slice | 1,10,11,13 | |
| Size | 1,13,15,19,21,23 | Size is supported
only at conversion
time. The input to
Size and all
operators which
manipulate the
resulting output
shape (eg slize,
concat, etc) are
also computed at
conversion time. |
| Softmax | 1,11,13 | |
| Softplus | 1,22 | |
| Split | 1,2,11,13,18 | |
| Squeeze | 1,11,13 | |
| Sqrt | 1,6,13 | |
| STFT | 17 | |
| Sub | 1,6,7,13,14 | |
| Sum | 1,6,8,13 | |
| Tanh | 1,6,13 | |
| Tile | 1.6,13 | |
| TopK | 1,10,11 | |
| Transpose | 1,13 | |
| Unsqueeze | 1,11,13 | |
| Upsample | 1,7,9 | Only bilinear and
nearest neighbor
modes are supported. |
| FC | 1 | Both “axis” and
“axis\_w” must be 1. |
| ScaledTanh | 1,6 | Scaledtanh is
removed in ONNX
release v1.5.0 |
| ThresholdedRelu | 10,22 | |
| SpaceToDepth | 1,13 | |
| Where | 9,16 | |
| Xor | 1,7 | |
Last Published: Oct 02, 2025
[Previous Topic
Supported Network Layers](https://docs.qualcomm.com/bundle/publicresource/80-63442-2/topics/network_layers.md) [Next Topic
Quantized vs Non-Quantized Models](https://docs.qualcomm.com/bundle/publicresource/80-63442-2/topics/quantized_models.md)