Supported Operations

Converters Equivalent

• COMMAND_LINE : indicates the Op is supported through command-line parameters provided during conversion and not as part of a source framework model. See the Source Framework’s converter help for more details.

• INFERRED: indicates Source Framework does not have a concrete definition for Op. However, converter pattern-matches a sequence of Ops to map to listed QNN Op.

• — : indicates there is no corresponding Source Framework Op, or the corresponding Op is not yet supported.

Backend Support

• YES: Backend has an implementation for Op.

• NO: Backend does not have an implementation for Op.

No.	Operation	Converters Equivalent				Backend Support
		Onnx(Opset <= 22)	TensorFlow	TensorFlow Lite	PyTorch	CPU		GPU	HTA	LPAI		HTP				DSP
						fp32	int8			INT8	INT16	FP16	INT16	INT8	OTHERS
1	ArgbToRgb	COMMAND_LINE	COMMAND_LINE	—	—	YES	YES	YES	NO	NO	NO	NO	NO	NO	NO	YES
2	Argmax	ArgMax	argmax	—	argmax	YES	YES	YES	YES	YES	YES	YES	YES	YES	YES	YES
3	Argmin	ArgMin	argmin	—	argmin	YES	YES	YES	NO	YES	YES	YES	YES	YES	NO	YES
4	AxisAlignedBboxTransform	BBoxTransform(org.pytorch._caffe2) with im_info’s img_scale = 1	—	—	—	YES	NO	NO	NO	NO	NO	NO	NO	NO	NO	NO
5	Batchnorm	BatchNormalization	batch_normalization, fused_batch_norm(FusedBatchNorm, FusedBatchNormV3)	INFERRED	BatchNorm2d	YES	YES	YES	NO	YES	YES	YES	YES	YES	NO	YES
6	BatchPermutation	—	—	—	—	YES	NO	NO	NO	NO	NO	NO	NO	NO	NO	NO
7	BatchToSpace	—	batch_to_space	batch_to_space_nd	—	YES	YES	YES	NO	YES	YES	YES	YES	YES	NO	YES
8	BboxTransform	—	—	—	—	YES	NO	NO	NO	NO	NO	NO	NO	NO	NO	NO
9	BoxWithNmsLimit	BoxWithNMSLimit(org.pytorch._caffe2)	—	—	—	YES	NO	NO	NO	NO	NO	NO	NO	NO	NO	YES
10	Buffer	—	—	—	—	YES	NO	NO	NO	YES	YES	YES	NO	NO	NO	NO
11	Cast	Cast	cast	—	to	YES	YES	YES	NO	YES	YES	YES	YES	YES	YES	YES
12	ChannelShuffle	INFERRED	INFERRED	—	ChannelShuffle	YES	YES	YES	NO	YES	YES	YES	YES	YES	NO	YES
13	Col2Im	—	—	—	—	YES	NO	NO	NO	NO	NO	NO	NO	NO	NO	NO
14	CollectRpnProposals	—	—	—	—	YES	NO	NO	NO	NO	NO	NO	NO	NO	NO	NO
15	CombinedNms	—	—	—	—	YES	NO	NO	NO	NO	NO	NO	NO	NO	NO	NO
16	Concat	Concat	concat(Concat, ConcatV2)	concatenation	cat	YES	YES	YES	YES	YES	YES	YES	YES	YES	YES	YES
17	ConstantOfShape	ConstantOfShape	—	—	—	YES	NO	NO	NO	NO	NO	NO	NO	NO	NO	NO
18	Conv1d	—	—	—	—	YES	NO	NO	NO	NO	NO	NO	NO	NO	NO	NO
19	Conv2d	Conv, QLinearConv	conv2d	conv_2d	Conv2d	YES	YES	YES	YES	YES	YES	YES	YES	YES	NO	YES
20	Conv3d	Conv, QLinearConv	conv3d	conv_3d	—	YES	YES	NO	NO	NO	NO	YES	YES	YES	NO	YES
21	Convert	—	—	—	—	YES	YES	NO	NO	YES	YES	YES	YES	YES	YES	YES
22	Correlation1D	—	—	—	—	YES	NO	NO	NO	NO	NO	NO	NO	NO	NO	YES
23	CreateSparse	—	—	—	—	YES	NO	NO	NO	NO	NO	NO	NO	YES	NO	NO
24	CropAndResize	—	crop_and_resize	—	—	YES	NO	NO	NO	NO	NO	NO	NO	NO	NO	NO
25	CumulativeSum	CumSum	cumsum	cumsum	cumsum	YES	YES	YES	NO	NO	NO	YES	YES	YES	YES	NO
26	DepthToSpace	DepthToSpace	depth_to_space	depth_to_space	PixelShuffle	YES	YES	YES	NO	YES	YES	YES	YES	YES	NO	YES
27	DepthWiseConv1d	—	—	—	—	YES	NO	NO	NO	NO	NO	NO	NO	NO	NO	NO
28	DepthWiseConv2d	Conv with ‘num_output’ == ‘input channels’ == ‘group’,QLinearConv with ‘num_output’ == ‘input channels’ == ‘group’	depthwise_conv2d	—	—	YES	YES	YES	YES	YES	YES	YES	YES	YES	NO	YES
29	Dequantize	DequantizeLinear	—	—	—	YES	YES	YES	NO	YES	YES	NO	YES	YES	NO	YES
30	DetectionOutput	—	INFERRED	TfliteDetectionPostProcess	—	YES	YES	YES	NO	NO	NO	YES	YES	YES	NO	YES
31	DistributeFpnProposals	—	—	—	—	YES	NO	NO	NO	NO	NO	NO	NO	NO	NO	NO
32	ElementWiseAbs	Abs	abs	abs	abs	YES	YES	YES	NO	NO	NO	YES	YES	YES	YES	YES
33	ElementWiseAdd	Add, Sum	add(Add, AddV2, Sum), bias_add	add	add	YES	YES	YES	YES	YES	YES	YES	YES	YES	YES	YES
34	ElementWiseAnd	And	logical_and	—	logical_and	YES	YES	YES	NO	NO	NO	NO	NO	YES	YES	NO
35	ElementWiseAsin	Asin	—	—	asin	YES	NO	NO	NO	NO	NO	NO	YES	YES	NO	NO
36	ElementWiseAtan	Atan	—	atan2	atan	YES	YES	NO	NO	NO	NO	YES	YES	YES	NO	NO
37	ElementWiseBinary	—	—	—	—	YES	YES	YES	YES	NO	NO	YES	YES	YES	YES	YES
38	ElementWiseCeil	Ceil	ceil	—	ceil	YES	YES	NO	NO	NO	NO	YES	YES	YES	NO	YES
39	ElementWiseCos	Cos	—	—	cos	YES	NO	YES	NO	NO	NO	YES	YES	YES	NO	NO
40	ElementWiseDivide	Div, Reciprocal	divide, realdiv	div	div	YES	YES	YES	NO	YES	YES	YES	YES	YES	YES	YES
41	ElementWiseEqual	Equal	equal	—	eq	YES	YES	YES	NO	NO	NO	YES	YES	YES	YES	YES
42	ElementWiseExp	Exp	exp	exp	exp	YES	YES	YES	NO	YES	YES	YES	YES	YES	NO	YES
43	ElementWiseFloor	Floor	floor	floor	floor	YES	YES	YES	NO	NO	NO	YES	YES	YES	NO	YES
44	ElementWiseFloorDiv	—	floordiv	—	floor_divide	YES	NO	YES	NO	NO	NO	YES	YES	YES	NO	YES
45	ElementWiseFmod	Mod	—	—	—	YES	NO	NO	NO	NO	NO	NO	NO	NO	NO	NO
46	ElementWiseGreater	Greater	greater	—	gt	YES	YES	YES	NO	NO	NO	YES	YES	YES	YES	YES
47	ElementWiseGreaterEqual	GreaterOrEqual	greater_equal	—	ge	YES	YES	YES	NO	NO	NO	YES	YES	YES	YES	YES
48	ElementWiseLess	Less	less	—	lt	YES	YES	YES	NO	NO	NO	YES	YES	YES	YES	YES
49	ElementWiseLessEqual	LessOrEqual	less_equal	—	le	YES	YES	YES	NO	NO	NO	YES	YES	YES	YES	YES
50	ElementWiseLog	Log	log	—	log	YES	YES	YES	NO	YES	YES	YES	YES	YES	NO	YES
51	ElementWiseMaximum	Max	maximum	maximum	maximum	YES	YES	YES	NO	YES	YES	YES	YES	YES	YES	YES
52	ElementWiseMinimum	Min	minimum	minimum	minimum	YES	YES	YES	NO	YES	YES	YES	YES	YES	YES	YES
53	ElementWiseMod	Mod	—	—	—	YES	NO	NO	NO	NO	NO	NO	NO	NO	NO	NO
54	ElementWiseMultiply	Mul	mul	mul	mul	YES	YES	YES	YES	YES	YES	YES	YES	YES	YES	YES
55	ElementWiseNeg	Neg	negative	—	neg	YES	YES	YES	NO	NO	NO	YES	YES	YES	NO	YES
56	ElementWiseNeuron	—	—	—	—	YES	YES	YES	YES	NO	NO	YES	YES	YES	YES	YES
57	ElementWiseNot	Not	logical_not	—	logical_not	YES	YES	YES	NO	NO	NO	NO	NO	YES	YES	NO
58	ElementWiseNotEqual	IsNaN	not_equal	—	ne	YES	YES	YES	NO	NO	NO	YES	YES	YES	YES	YES
59	ElementWiseOr	Or	logical_or	—	logical_or	YES	NO	YES	NO	NO	NO	NO	NO	YES	YES	NO
60	ElementWisePower	Pow	pow, square	—	pow	YES	YES	YES	NO	YES	YES	YES	YES	YES	NO	YES
61	ElementWiseRound	Round	round	—	round	YES	YES	YES	NO	NO	NO	YES	YES	YES	NO	YES
62	ElementWiseRsqrt	—	rsqrt	—	rsqrt	YES	YES	YES	NO	NO	NO	YES	YES	YES	NO	YES
63	ElementWiseSelect	Where	where	—	—	YES	YES	YES	NO	NO	NO	YES	YES	YES	YES	YES
64	ElementWiseSign	Sign	—	sign	sign	YES	NO	NO	NO	NO	NO	YES	YES	YES	NO	NO
65	ElementWiseSin	Sin	sin	—	sin	YES	YES	YES	NO	NO	NO	YES	YES	YES	NO	NO
66	ElementWiseSoftplus	Softplus	—	—	Softplus	YES	NO	YES	NO	NO	NO	NO	NO	NO	NO	NO
67	ElementWiseSquaredDifference	—	—	—	—	YES	YES	YES	NO	NO	NO	YES	YES	YES	NO	YES
68	ElementWiseSquareRoot	Sqrt	sqrt	sqrt	sqrt	YES	YES	YES	NO	YES	YES	YES	YES	YES	NO	YES
69	ElementWiseSubtract	Sub	subtract	sub	sub	YES	YES	YES	YES	YES	YES	YES	YES	YES	YES	YES
70	ElementWiseUnary	—	—	—	—	YES	YES	YES	NO	NO	NO	YES	YES	YES	YES	YES
71	ElementWiseXor	Xor	logical_xor	—	logical_xor	YES	NO	NO	NO	NO	NO	NO	NO	YES	YES	YES
72	Elu	Elu	elu	—	—	YES	NO	YES	NO	NO	NO	YES	YES	YES	NO	YES
73	ExpandDims	—	—	—	—	YES	YES	YES	NO	NO	NO	YES	YES	YES	NO	NO
74	ExtractGlimpse	—	extract_glimpse	—	—	YES	YES	NO	NO	NO	NO	YES	NO	YES	NO	YES
75	ExtractPatches	—	extract_patches	—	—	YES	NO	NO	NO	NO	NO	YES	NO	YES	NO	YES
76	FullyConnected	MatMul(limited usecase), Gemm(limited usecase)	dense and tensordot(MatMul)	fully_connected	Linear	YES	YES	YES	YES	YES	YES	YES	YES	YES	NO	YES
77	Gather	Gather	gather(Gather, GatherV2)	—	—	YES	YES	YES	NO	YES	YES	YES	YES	YES	YES	YES
78	GatherElements	GatherElements	—	—	—	YES	NO	NO	NO	NO	NO	YES	YES	YES	YES	YES
79	GatherNd	GatherND	gather_nd	—	—	YES	YES	YES	NO	NO	NO	YES	YES	YES	YES	YES
80	Gelu	INFERRED / Gelu(for onnx version>=1.15)	INFERRED	gelu	GELU	YES	YES	YES	NO	YES	YES	YES	YES	YES	NO	NO
81	GenerateProposals	GenerateProposals(org.pytorch._caffe2) with im_info’s img_scale = 1	—	—	—	YES	NO	NO	NO	NO	NO	NO	NO	NO	NO	YES
82	GetSparseIndices	—	—	—	—	YES	NO	NO	NO	NO	NO	NO	NO	YES	NO	NO
83	GetSparseValues	—	—	—	—	YES	NO	NO	NO	NO	NO	NO	NO	YES	NO	NO
84	GridSample	GridSample	—	—	—	YES	YES	YES	NO	NO	NO	YES	YES	YES	NO	NO
85	GroupNorm	GroupNormalization	—	—	GroupNorm	YES	YES	YES	NO	NO	NO	YES	YES	YES	NO	NO
86	Gru	GRU	—	—	—	YES	NO	NO	NO	YES	YES	YES	NO	NO	NO	NO
87	HadamardTransform	—	—	—	—	NO	NO	NO	NO	NO	NO	NO	NO	NO	NO	NO
88	HardSwish	INFERRED	INFERRED	—	Hardswish	YES	YES	YES	YES	YES	YES	YES	YES	YES	NO	YES
89	HeatMapMaxKeyPoint	—	—	—	—	YES	YES	YES	NO	NO	NO	NO	NO	NO	NO	NO
90	If	—	—	—	—	YES	NO	NO	NO	NO	NO	NO	NO	NO	NO	NO
91	Im2Col	—	—	—	—	YES	NO	NO	NO	NO	NO	NO	NO	NO	NO	NO
92	ImageProjectionTransform	—	image.transform(ImageProjectiveTransform)	—	—	YES	YES	NO	NO	NO	NO	NO	NO	NO	NO	YES
93	InstanceNorm	InstanceNormalization	INFERRED	—	InstanceNorm2d	YES	YES	YES	NO	NO	NO	YES	YES	YES	NO	YES
94	IsInf	IsInf	—	—	—	YES	NO	NO	NO	NO	NO	YES	NO	NO	NO	NO
95	IsNan	IsNaN	—	—	—	YES	NO	NO	NO	NO	NO	YES	NO	NO	NO	NO
96	L2Norm	LpNormalization	INFERRED	—	—	YES	YES	YES	NO	NO	NO	YES	YES	YES	NO	YES
97	L2Pool2d	LpPool	—	—	—	YES	NO	YES	NO	NO	NO	NO	NO	NO	NO	NO
98	LayerNorm	LayerNormalization	LayerNormalization	—	LayerNorm	YES	YES	YES	NO	YES	YES	YES	YES	YES	NO	YES
99	Logit	—	—	—	—	YES	NO	NO	NO	NO	NO	YES	YES	YES	NO	NO
100	LogSoftmax	LogSoftmax	log_softmax	—	LogSoftmax	YES	NO	YES	NO	YES	YES	YES	YES	YES	NO	YES
101	Lrn	LRN	local_response_normalization	—	LocalResponseNorm	YES	YES	YES	NO	NO	NO	YES	NO	YES	NO	YES
102	Lstm	LSTM	INFERRED	—	—	YES	YES	YES	NO	YES	YES	YES	NO	YES	NO	YES
103	MaskedSoftmax	—	—	—	—	YES	YES	NO	NO	NO	NO	NO	NO	NO	NO	NO
104	MatMul	MatMul, QLinearMatMul	matmul(BatchMatMul, BatchMatMulV2)	—	matmul	YES	YES	YES	NO	YES	YES	YES	YES	YES	NO	YES
105	Moments	—	INFERRED	—	—	YES	NO	NO	NO	NO	NO	NO	NO	NO	NO	YES
106	MultiClassNms	nms + gather	nms + gather	—	—	YES	YES	NO	NO	NO	NO	YES	YES	YES	NO	YES
107	NonMaxSuppression	NonMaxSuppression	—	—	—	YES	YES	NO	NO	NO	NO	YES	YES	YES	NO	NO
108	NonZero	NonZero	—	—	—	YES	YES	NO	NO	NO	NO	YES	NO	YES	YES	NO
109	Nv12ToRgb	COMMAND_LINE	COMMAND_LINE	—	—	YES	YES	YES	NO	NO	NO	NO	NO	YES	NO	YES
110	Nv21ToRgb	COMMAND_LINE	COMMAND_LINE	—	—	YES	YES	YES	NO	NO	NO	NO	NO	NO	NO	YES
111	OneHot	OneHot	one_hot	—	—	YES	NO	NO	NO	NO	NO	NO	NO	NO	YES	NO
112	Pack	—	stack(Stack, Pack)	—	stack	YES	YES	YES	NO	NO	NO	YES	YES	YES	NO	YES
113	Pad	Pad	pad(Pad, PadV2)	—	ConstantPad	YES	YES	YES	NO	YES	YES	YES	YES	YES	NO	YES
114	PoolAvg2d	AveragePool, GlobalAveragePool	average_pooling2d	average_pool_2d	AvgPool2d	YES	YES	YES	YES	YES	YES	YES	YES	YES	NO	YES
115	PoolAvg3d	AveragePool, GlobalAveragePool	—	—	—	YES	YES	NO	NO	NO	NO	YES	YES	YES	NO	YES
116	PoolMax2d	MaxPool, GlobalMaxPool	max_pooling2d	max_pool_2d	MaxPool2d	YES	YES	YES	YES	YES	YES	YES	YES	YES	NO	YES
117	PoolMax3d	MaxPool, GlobalMaxPool	—	—	—	YES	YES	NO	NO	NO	NO	NO	NO	NO	NO	YES
118	Prelu	PRelu, LeakyRelu	PReLU	—	PReLU	YES	YES	YES	YES	YES	YES	YES	YES	YES	NO	YES
119	Quantize	QuantizeLinear	—	—	—	YES	YES	NO	NO	NO	NO	NO	YES	YES	NO	YES
120	RandomUniformLike	RandomUniformLike	—	—	—	NO	NO	NO	NO	NO	NO	NO	NO	NO	YES	NO
121	ReduceMax	ReduceMax	reduce_max	—	max	YES	YES	YES	NO	YES	YES	YES	YES	YES	NO	YES
122	ReduceMean	ReduceMean	reduce_mean	—	mean	YES	YES	YES	YES	YES	YES	YES	YES	YES	NO	YES
123	ReduceMin	ReduceMin	reduce_min	—	min	YES	YES	YES	NO	YES	YES	YES	YES	YES	NO	YES
124	ReduceProd	ReduceProd	reduce_prod	—	prod	YES	NO	YES	NO	YES	YES	NO	NO	NO	NO	NO
125	ReduceSum	ReduceSum	reduce_sum	—	sum	YES	YES	YES	NO	YES	YES	YES	YES	YES	YES	YES
126	ReduceSumSquare	ReduceSumSquare	—	—	—	YES	NO	NO	NO	NO	NO	NO	NO	NO	NO	NO
127	Relu	Relu	relu	relu	ReLU	YES	YES	YES	YES	YES	YES	YES	YES	YES	NO	YES
128	Relu1	—	—	—	—	NO	YES	YES	NO	NO	NO	YES	YES	YES	NO	NO
129	Relu6	—	relu6	—	ReLU6	YES	YES	YES	YES	NO	NO	YES	YES	YES	NO	YES
130	ReluMinMax	Clip	INFERRED	relu6	Hardtanh	YES	YES	YES	YES	YES	YES	YES	YES	YES	YES	YES
131	Reshape	Reshape, Flatten, Squeeze, UnSqueeze	reshape, squeeze, expand_dims	reshape	reshape	YES	YES	YES	YES	YES	YES	YES	YES	YES	YES	YES
132	Resize	Resize	—	—	Resize	YES	YES	YES	NO	YES	YES	YES	YES	YES	NO	YES
133	ResizeBilinear	Resize	resize_bilinear	resize_bilinear	UpsamplingBilinear2d	YES	YES	YES	YES	YES	YES	YES	YES	YES	NO	YES
134	ResizeNearestNeighbor	Resize, ResizeNearest(org.pytorch._caffe2)	resize_nearest_neighbor	—	—	YES	YES	YES	YES	YES	YES	YES	YES	YES	NO	YES
135	RmsNorm	—	—	—	—	YES	YES	YES	NO	YES	YES	YES	YES	YES	NO	NO
136	RoiAlign	RoiAlign, RoIAlign(org.pytorch._caffe2)	—	—	—	YES	YES	YES	NO	NO	NO	YES	YES	YES	NO	YES
137	RoiPooling	MaxRoiPool	—	—	—	YES	NO	NO	NO	NO	NO	NO	NO	NO	NO	YES
138	ScatterElements	ScatterElements, Scatter (deprecated)	—	—	—	YES	YES	YES	NO	NO	NO	YES	YES	YES	NO	NO
139	ScatterNd	ScatterND	—	—	—	YES	YES	NO	NO	NO	NO	YES	YES	YES	YES	NO
140	Shape	Shape	—	—	—	YES	NO	NO	NO	NO	NO	NO	NO	NO	NO	NO
141	Sigmoid	Sigmoid	sigmoid	—	sigmoid	YES	YES	YES	YES	YES	YES	YES	YES	YES	NO	YES
142	Softmax	Softmax	softmax	softmax	Softmax	YES	YES	YES	YES	YES	YES	YES	YES	YES	NO	YES
143	SpaceToBatch	—	space_to_batch(SpaceToBatchND)	space_to_batch_nd	—	YES	YES	YES	NO	YES	YES	YES	YES	YES	NO	YES
144	SpaceToDepth	SpaceToDepth	space_to_depth	—	—	YES	YES	YES	NO	YES	YES	YES	YES	YES	NO	YES
145	SparseToDense	—	—	—	—	YES	NO	NO	NO	NO	NO	NO	NO	YES	NO	NO
146	Split	Split	split(Split, SplitV)	—	split	YES	YES	YES	NO	YES	YES	YES	YES	YES	YES	YES
147	Squeeze	—	—	—	—	YES	YES	YES	NO	NO	NO	YES	YES	YES	NO	YES
148	Stft	STFT	—	—	—	YES	NO	NO	NO	NO	NO	YES	NO	NO	NO	NO
149	StridedSlice	Slice	strided_slice	slice	—	YES	YES	YES	NO	YES	YES	YES	YES	YES	YES	YES
150	Tanh	Tanh	tanh	tanh	tanh	YES	YES	YES	YES	YES	YES	YES	YES	YES	NO	YES
151	Tile	Tile	tile	—	—	YES	YES	YES	NO	NO	NO	YES	YES	YES	YES	YES
152	TopK	TopK	top_k	—	topk	YES	YES	YES	NO	NO	NO	YES	YES	YES	YES	YES
153	Transpose	Transpose	transpose	—	transpose	YES	YES	YES	NO	YES	YES	YES	YES	YES	YES	YES
154	TransposeConv1d	—	—	—	—	NO	NO	NO	NO	NO	NO	NO	NO	NO	NO	NO
155	TransposeConv2d	ConvTranspose	conv2d_transpose	transpose_conv	ConvTranspose2d	YES	YES	YES	YES	YES	YES	YES	YES	YES	NO	YES
156	TransposeConv3d	ConvTranspose	conv3d_transpose	transpose_conv3d	—	YES	YES	NO	NO	NO	NO	YES	YES	YES	NO	NO
157	UnPack	—	unstack	—	unbind	YES	YES	YES	NO	NO	NO	YES	YES	YES	NO	YES