Supported Operations - by Framework Frontend¶
This page lists operations supported by OpenVINO Framework Frontend.
PyTorch Supported Operations |
Limitations |
|---|---|
aten::__and__ |
|
aten::__derive_index |
|
aten::__getitem__ |
|
aten::__not__ |
|
aten::__or__ |
|
aten::__range_length |
|
aten::__xor__ |
|
aten::_convolution |
|
aten::_convolution_mode |
|
aten::_native_multi_head_attention |
|
aten::_set_item |
|
aten::_shape_as_tensor |
|
aten::_upsample_bicubic2d_aa |
|
aten::_upsample_bilinear2d_aa |
|
aten::_weight_norm |
|
aten::abs |
|
aten::acos |
|
aten::acos_ |
|
aten::acosh |
|
aten::acosh_ |
|
aten::adaptive_avg_pool1d |
|
aten::adaptive_avg_pool2d |
|
aten::adaptive_avg_pool3d |
|
aten::adaptive_max_pool1d |
|
aten::adaptive_max_pool2d |
|
aten::adaptive_max_pool3d |
|
aten::add |
|
aten::add_ |
|
aten::addcmul |
|
aten::addmm |
|
aten::alias |
|
aten::alias_copy |
|
aten::all |
|
aten::amax |
|
aten::amin |
|
aten::append |
Supported in limited set of patterns |
aten::arange |
|
aten::argmax |
|
aten::argmin |
|
aten::argsort |
|
aten::as_strided |
|
aten::as_tensor |
|
aten::asin |
|
aten::asin_ |
|
aten::asinh |
|
aten::asinh_ |
|
aten::atan |
|
aten::atan_ |
|
aten::atanh |
|
aten::atanh_ |
|
aten::avg_pool1d |
|
aten::avg_pool2d |
|
aten::avg_pool3d |
|
aten::baddbmm |
|
aten::batch_norm |
|
aten::bitwise_and |
|
aten::bitwise_not |
|
aten::bitwise_or |
|
aten::bitwise_xor |
|
aten::bmm |
|
aten::Bool |
|
aten::broadcast_tensors |
Supported in limited set of patterns |
aten::broadcast_to |
|
aten::cat |
|
aten::cdist |
|
aten::ceil |
|
aten::ceil_ |
|
aten::channel_shuffle |
|
aten::chunk |
Supported in limited set of patterns |
aten::clamp |
|
aten::clamp_ |
|
aten::clamp_max |
|
aten::clamp_min |
|
aten::clip |
|
aten::clip_ |
|
aten::clone |
|
aten::complex |
Supported in limited set of patterns |
aten::concat |
|
aten::contiguous |
|
aten::conv1d |
|
aten::conv2d |
|
aten::conv3d |
|
aten::conv_transpose1d |
|
aten::conv_transpose2d |
|
aten::conv_transpose3d |
|
aten::convolution |
|
aten::copy |
|
aten::copy_ |
|
aten::cos |
|
aten::cos_ |
|
aten::cosh |
|
aten::cosh_ |
|
aten::cross |
|
aten::cumsum |
|
aten::dequantize |
|
aten::detach |
|
aten::dim |
|
aten::div |
|
aten::div_ |
|
aten::dropout |
|
aten::dropout_ |
|
aten::einsum |
Supported in limited set of patterns |
aten::elu |
|
aten::embedding |
|
aten::embedding_bag |
|
aten::empty |
|
aten::empty_like |
|
aten::eq |
|
aten::erf |
|
aten::erf_ |
|
aten::erfc |
|
aten::erfc_ |
|
aten::exp |
|
aten::exp_ |
|
aten::expand |
|
aten::expand_as |
|
aten::eye |
|
aten::fake_quantize_per_channel_affine |
|
aten::fake_quantize_per_tensor_affine |
|
aten::feature_dropout |
|
aten::fft_irfftn |
Supported in limited set of patterns |
aten::fft_rfftn |
Supported in limited set of patterns |
aten::fill |
|
aten::fill_ |
|
aten::fill_diagonal_ |
|
aten::flatten |
|
aten::flip |
|
aten::floor |
|
aten::floor_ |
|
aten::floor_divide |
|
aten::floordiv |
|
aten::fmod |
|
aten::frobenius_norm |
|
aten::full |
|
aten::full_like |
|
aten::gather |
|
aten::ge |
|
aten::gelu |
|
aten::glu |
|
aten::grid_sampler |
|
aten::group_norm |
|
aten::gru |
|
aten::gt |
|
aten::hardsigmoid |
|
aten::hardswish |
|
aten::hardswish_ |
|
aten::hardtanh |
|
aten::hardtanh_ |
|
aten::im2col |
|
aten::imag |
Supported in limited set of patterns |
aten::index |
Supported in limited set of patterns |
aten::index_put_ |
|
aten::index_select |
|
aten::instance_norm |
|
aten::Int |
|
aten::IntImplicit |
|
aten::is_grad_enabled |
|
aten::is_nonzero |
|
aten::item |
|
aten::layer_norm |
|
aten::le |
|
aten::leaky_relu |
|
aten::leaky_relu_ |
|
aten::len |
|
aten::lift |
|
aten::lift_fresh |
|
aten::lift_fresh_copy |
|
aten::linalg_cross |
|
aten::linalg_matrix_norm |
|
aten::linalg_norm |
|
aten::linalg_vector_norm |
|
aten::linear |
|
aten::linspace |
|
aten::log |
|
aten::log10 |
|
aten::log10_ |
|
aten::log1p |
|
aten::log1p_ |
|
aten::log2 |
|
aten::log2_ |
|
aten::log_ |
|
aten::log_softmax |
|
aten::logical_and |
|
aten::logical_not |
|
aten::logical_or |
|
aten::logical_xor |
|
aten::lstm |
|
aten::lt |
|
aten::masked_fill |
|
aten::masked_fill_ |
|
aten::masked_scatter |
|
aten::masked_scatter_ |
|
aten::matmul |
|
aten::max |
|
aten::max_pool1d |
|
aten::max_pool1d_with_indices |
|
aten::max_pool2d |
|
aten::max_pool2d_with_indices |
|
aten::max_pool3d |
|
aten::max_pool3d_with_indices |
|
aten::maximum |
|
aten::mean |
|
aten::meshgrid |
|
aten::min |
|
aten::minimum |
|
aten::mm |
|
aten::mul |
|
aten::mul_ |
|
aten::multinomial |
|
aten::multiply |
|
aten::multiply_ |
|
aten::narrow |
|
aten::ne |
|
aten::neg |
|
aten::new_empty |
|
aten::new_full |
|
aten::new_ones |
|
aten::new_zeros |
|
aten::nonzero |
|
aten::nonzero_numpy |
Supported in limited set of patterns |
aten::norm |
|
aten::normal |
|
aten::normal_ |
|
aten::numel |
|
aten::numpy_T |
|
aten::one_hot |
|
aten::ones |
|
aten::ones_like |
|
aten::outer |
|
aten::pad |
|
aten::pairwise_distance |
|
aten::permute |
|
aten::pixel_shuffle |
|
aten::pixel_unshuffle |
|
aten::pow |
|
aten::pow_ |
|
aten::prelu |
|
aten::prod |
|
aten::quantize_per_channel |
|
aten::quantize_per_tensor |
|
aten::rand |
|
aten::rand_like |
|
aten::randint |
|
aten::randn |
|
aten::randn_like |
|
aten::real |
Supported in limited set of patterns |
aten::reciprocal |
|
aten::reflection_pad2d |
Supported in limited set of patterns |
aten::relu |
|
aten::relu6 |
|
aten::relu_ |
|
aten::remainder |
|
aten::repeat |
|
aten::repeat_interleave |
|
aten::reshape |
|
aten::reshape_as |
|
aten::resolve_conj |
|
aten::resolve_neg |
|
aten::rnn_relu |
|
aten::rnn_tanh |
|
aten::roll |
|
aten::round |
|
aten::rsqrt |
|
aten::rsub |
|
aten::ScalarImplicit |
|
aten::scaled_dot_product_attention |
|
aten::scatter |
|
aten::scatter_ |
|
aten::scatter_add |
|
aten::scatter_add_ |
|
aten::scatter_reduce |
|
aten::scatter_reduce_ |
|
aten::select |
|
aten::selu |
|
aten::selu_ |
|
aten::sigmoid |
|
aten::sigmoid_ |
|
aten::sign |
|
aten::silu |
|
aten::silu_ |
|
aten::sin |
|
aten::sin_ |
|
aten::sinh |
|
aten::sinh_ |
|
aten::size |
|
aten::slice |
|
aten::softmax |
|
aten::softplus |
|
aten::sort |
|
aten::split |
Supported in limited set of patterns |
aten::split_with_sizes |
Supported in limited set of patterns |
aten::sqrt |
|
aten::square |
|
aten::squeeze |
|
aten::stack |
Supported in limited set of patterns |
aten::std |
|
aten::std_mean |
|
aten::sub |
|
aten::sub_ |
|
aten::sum |
|
aten::swapaxes |
|
aten::t |
|
aten::t_ |
|
aten::take_along_dim |
|
aten::tan |
|
aten::tan_ |
|
aten::tanh |
|
aten::tanh_ |
|
aten::tensor |
|
aten::tensor_split |
Supported in limited set of patterns |
aten::tile |
|
aten::to |
|
aten::topk |
|
aten::transpose |
|
aten::tril |
|
aten::tril_ |
|
aten::triu |
|
aten::triu_ |
|
aten::type_as |
|
aten::unbind |
Supported in limited set of patterns |
aten::unflatten |
|
aten::unfold |
|
aten::unsqueeze |
|
aten::unsqueeze_ |
|
aten::upsample_bicubic2d |
|
aten::upsample_bilinear2d |
|
aten::upsample_linear1d |
|
aten::upsample_nearest1d |
|
aten::upsample_nearest2d |
|
aten::upsample_nearest3d |
|
aten::upsample_trilinear3d |
|
aten::var |
|
aten::var_mean |
|
aten::view |
|
aten::view_as |
|
aten::where |
|
aten::zero_ |
|
aten::zeros |
|
aten::zeros_like |
|
prim::Constant |
|
prim::device |
|
prim::DictConstruct |
Supported in limited set of patterns |
prim::GetAttr |
|
prim::If |
|
prim::is_cuda |
|
prim::ListConstruct |
|
prim::ListUnpack |
|
prim::Loop |
|
prim::NumToTensor |
|
prim::PythonOp |
|
prim::requires_grad |
|
prim::TupleConstruct |
Supported in limited set of patterns |
prim::TupleIndex |
|
prim::TupleUnpack |
Supported in limited set of patterns |
prim::type |
|
quantized::add |
|
quantized::add_relu |
|
quantized::cat |
|
quantized::conv2d |
|
quantized::conv2d_relu |
|
quantized::hardswish |
|
quantized::linear |
|
quantized::mul |
|
torchvision::deform_conv2d |
|
torchvision::nms |
|
torchvision::roi_align |
ONNX Supported Operations (standard) |
Limitations |
|---|---|
Abs |
|
Acos |
|
Acosh |
|
Add |
|
And |
|
ArgMin |
|
ArgMax |
|
Asin |
|
Asinh |
|
Atan |
|
ATen |
|
Atanh |
|
AveragePool |
|
BatchNormalization |
|
BitShift |
|
Cast |
|
CastLike |
|
Ceil |
|
Clip |
|
Concat |
|
Constant |
|
ConstantOfShape |
|
Conv |
|
ConvInteger |
|
ConvTranspose |
|
Compress |
|
Cos |
|
Cosh |
|
ConstantFill |
|
CumSum |
|
DepthToSpace |
|
DequantizeLinear |
|
Div |
|
Dropout |
|
Einsum |
|
Elu |
|
Equal |
|
Erf |
|
Exp |
|
Expand |
|
EyeLike |
|
Flatten |
|
Floor |
|
Gather |
|
GatherElements |
|
GatherND |
|
Gemm |
|
GlobalAveragePool |
|
GlobalLpPool |
|
GlobalMaxPool |
|
Greater |
|
GRU |
|
Hardmax |
|
HardSigmoid |
|
HardSwish |
|
Identity |
|
If |
|
ImageScaler |
|
InstanceNormalization |
|
LeakyRelu |
|
Less |
|
Log |
|
LogSoftmax |
|
Loop |
|
LpNormalization |
|
LRN |
|
LSTM |
|
MatMulInteger |
|
MatMul |
|
MaxPool |
|
Max |
|
Mean |
|
MeanVarianceNormalization |
|
Min |
|
Mod |
|
Mul |
|
Neg |
|
NonMaxSuppression |
|
NonZero |
|
Not |
|
Or |
|
OneHot |
|
Pad |
|
Pow |
|
PRelu |
|
QLinearConv |
|
QLinearMatMul |
|
QuantizeLinear |
|
Range |
|
RandomNormal |
|
RandomNormalLike |
|
RandomUniform |
|
RandomUniformLike |
|
Reciprocal |
|
ReduceLogSum |
|
ReduceLogSumExp |
|
ReduceL1 |
|
ReduceL2 |
|
ReduceMax |
|
ReduceMean |
|
ReduceMin |
|
ReduceProd |
|
ReduceSum |
|
ReduceSumSquare |
|
Relu |
|
Reshape |
|
Resize |
|
ReverseSequence |
|
RNN |
|
RoiAlign |
|
Round |
|
ScatterElements |
|
ScatterND |
|
Selu |
|
Shape |
|
Shrink |
|
Sigmoid |
|
Sign |
|
Sin |
|
Sinh |
|
Size |
|
Slice |
|
Softmax |
|
Softplus |
|
Softsign |
|
SpaceToDepth |
|
Split |
|
Sqrt |
|
Squeeze |
|
Sub |
|
Sum |
|
Tan |
|
Tanh |
|
ThresholdedRelu |
|
Tile |
|
TopK |
|
Transpose |
|
Unsqueeze |
|
Where |
|
Xor |
ONNX Supported Operations (deprecated) |
Limitations |
|---|---|
Affine |
|
Crop |
|
Scatter |
|
Upsample |
ONNX Supported Operations (custom - the org.openvinotoolkit Domain) |
Limitations |
|---|---|
DeformableConv2D |
|
DetectionOutput |
|
ExperimentalDetectronDetectionOutput |
|
ExperimentalDetectronGenerateProposalsSingleImage |
|
ExperimentalDetectronGroupNorm |
|
ExperimentalDetectronPriorGridGenerator |
|
ExperimentalDetectronROIFeatureExtractor |
|
ExperimentalDetectronTopKROIs |
|
FakeQuantize |
|
GroupNorm |
|
Normalize |
|
PriorBox |
|
PriorBoxClustered |
|
Swish |
ONNX Supported Operations (custom - com.microsoft Domain) |
Limitations |
|---|---|
Attention |
|
BiasGelu |
|
EmbedLayerNormalization |
|
SkipLayerNormalization |
PaddlePaddle Supported Operations (v. >= 2.1) |
Limitations |
|---|---|
arg_max |
The |
adaptive_pool2d |
The |
assign |
|
assign_value |
|
batch_norm |
|
bicubic_interp |
|
bilinear_interp |
|
bmm |
|
box_coder |
|
cast |
|
ceil |
|
clip |
|
concat |
|
conditional_block |
|
conv2d |
|
conv2d_transpose |
|
cumsum |
|
deformable_conv |
|
depthwise_conv2d |
|
depthwise_conv2d_transpose |
|
dropout |
|
elementwise_add |
|
elementwise_div |
|
elementwise_floordiv |
|
elementwise_max |
|
elementwise_min |
|
elementwise_mod |
|
elementwise_mul |
|
elementwise_pow |
|
elementwise_sub |
|
equal |
|
exp |
|
expand |
|
fill_any_like |
|
fill_constant |
|
fill_constant_batch_size_like |
|
flatten_contiguous_range |
|
floor |
|
gather |
|
gather_nd |
|
gelu |
|
generate_proposals |
|
greater_equal |
|
greater_than |
|
group_norm |
|
hard_sigmoid |
|
hard_swish |
|
layer_norm |
|
leaky_relu |
|
less_than |
|
linear_interp |
|
log |
|
logical_and |
|
logical_not |
|
logical_or |
|
logical_xor |
|
lookup_table |
|
matmul |
|
matrix_nms |
Only supports IE CPU plugin with “number of selected boxes” static shape (e.g.: |
max_pool2d_with_index |
|
meshgrid |
|
multiclass_nms |
Only supports IE CPU plugin with “number of selected boxes” static shape (e.g.: |
nearest_interp |
|
not_equal |
|
p_norm |
|
pad3d |
|
pool2d |
|
pow |
|
prior_box |
|
range |
|
reduce_max |
|
reduce_mean |
|
reduce_min |
|
reduce_prod |
|
reduce_sum |
|
relu |
|
reshape |
|
reverse |
|
rnn |
|
roi_align |
|
scale |
|
select_input |
|
shape |
|
sigmoid |
|
slice |
|
softmax |
|
softplus |
|
split |
|
sqrt |
|
squeeze |
|
stack |
|
strided_slice |
|
sum |
|
swish |
|
sync_batch_norm |
|
tanh |
|
tile |
|
top_k |
|
transpose |
|
trilinear_interp |
|
unsqueeze |
|
where |
|
where_index |
|
while |
|
yolo_box |
Caffe Supported Operations |
Limitations |
|---|---|
Axpy |
|
BN |
|
BatchNorm |
|
Bias |
|
Binarization (Intel experimental) |
|
Concat |
|
Convolution |
|
ConvolutionBinary |
|
Crop |
|
Deconvolution |
|
DetectionOutput |
|
Dropout |
Not needed for inference. |
Eltwise |
|
Flatten |
|
GlobalInput |
|
InnerProduct |
|
Input |
|
LRN |
|
Normalize |
|
Python |
Supported only for the Python Proposal operation. |
Permute |
|
Pooling |
|
Power |
|
PReLU |
|
PriorBox |
|
PriorBoxClustered |
|
Proposal |
|
PSROIPooling |
|
ROIPooling |
|
RegionYolo |
|
ReorgYolo |
|
ReLU |
|
Resample |
|
Reshape |
|
Scale |
|
ShuffleChannel |
|
Sigmoid |
|
Slice |
|
Softmax |
|
Tile |
Kaldi Supported Operations |
Limitations |
|---|---|
addshift |
|
affinecomponent |
|
affinecomponentpreconditionedonline |
|
affinetransform |
|
backproptruncationcomponent |
|
batchnormcomponent |
|
clipgradientcomponent |
Not needed for inference. |
concat |
|
convolutional1dcomponent |
|
convolutionalcomponent |
|
copy |
|
dropoutmaskcomponent |
|
elementwiseproductcomponent |
|
fixedaffinecomponent |
|
fixedbiascomponent |
|
fixedscalecomponent |
|
generaldropoutcomponent |
Not needed for inference. |
linearcomponent |
|
logsoftmaxcomponent |
|
lstmnonlinearitycomponent |
|
lstmprojected |
|
lstmprojectedstreams |
|
maxpoolingcomponent |
|
naturalgradientaffinecomponent |
|
naturalgradientperelementscalecomponent |
|
noopcomponent |
Not needed for inference. |
normalizecomponent |
|
parallelcomponent |
|
pnormcomponent |
|
rectifiedlinearcomponent |
|
rescale |
|
sigmoid |
|
sigmoidcomponent |
|
softmax |
|
softmaxComponent |
|
specaugmenttimemaskcomponent |
Not needed for inference. |
splicecomponent |
|
tanhcomponent |
|
tdnncomponent |
|
timeheightconvolutioncomponent |
Apache MXNet Supported Operations |
Limitations |
|---|---|
_Plus |
|
_contrib_arange_like |
|
_contrib_box_nms |
|
_contrib_DeformableConvolution |
|
_contrib_DeformablePSROIPooling |
|
_contrib_div_sqrt_dim |
|
_contrib_MultiBoxDetection |
|
_contrib_MultiBoxPrior |
|
_contrib_Proposal |
|
_copy |
Not needed for inference |
_div_scalar |
|
_greater_scalar |
|
_minus_scalar |
|
_mul_scalar |
|
_plus_scalar |
|
_random_uniform |
Operation provides sequence from uniform distribution, but exact values won’t match. |
_rnn_param_concat |
|
_arange |
|
_contrib_AdaptiveAvgPooling2D |
Converted to the Average Pooling with fixed paddings. |
_maximum |
|
_minimum |
|
_np_roll |
|
_zeros |
|
add_n |
|
arccosh |
|
arcsinh |
|
arctanh |
|
batch_dot |
|
broadcast_add |
|
broadcast_div |
|
broadcast_mul |
|
broadcast_sub |
|
BlockGrad |
|
cumsum |
|
div_scalar |
|
elementwise_sub |
|
elemwise_add |
|
elemwise_mul |
|
elemwise_sub |
|
exp |
|
expand_dims |
|
greater_scalar |
|
max |
|
minus_scalar |
|
null |
Not needed for inference. |
LayerNorm |
|
repeat |
|
rnn |
|
rnn_param_concat |
|
round |
|
sigmoid |
|
slice |
|
SliceChannel |
|
slice_axis |
|
slice_channel |
|
slice_like |
|
softmax |
|
stack |
|
swapaxis |
|
tile |
|
transpose |
|
zeros |
|
Activation |
Supported |
BatchNorm |
|
Concat |
|
Convolution |
|
Crop |
|
Custom |
|
Deconvolution |
|
DeformableConvolution |
|
DeformablePSROIPooling |
|
Dropout |
Not needed for inference. |
ElementWiseSum |
|
Embedding |
|
Flatten |
|
FullyConnected |
|
InstanceNorm |
|
L2Normalization |
Only 4D input is supported. |
LRN |
|
LeakyReLU |
Supported |
ones_like |
|
Pad |
|
Pooling |
|
ROIPooling |
|
ReLU |
|
Reshape |
|
ScaleShift |
|
SoftmaxActivation |
|
SoftmaxOutput |
|
SoftSign |
|
Take |
The attribute |
Tile |
|
UpSampling |
|
Where |
|
zeros_like |
TensorFlow Supported Operations |
Limitations |
|---|---|
Abs |
|
Acosh |
|
Add |
|
AddV2 |
|
AddN |
|
All |
|
Any |
|
ArgMax |
|
ArgMin |
|
Asinh |
|
Assert |
Not needed for inference. |
Assign |
Not needed for inference. |
AssignSub |
Not needed for inference. |
Atanh |
|
AvgPool |
|
AvgPoolV2 |
Supported only for constant-foldable |
AvgPool3D |
|
BatchMatMul |
|
BatchMatMulV2 |
|
BatchToSpaceND |
|
BiasAdd |
|
BlockLSTM |
|
Bucketize |
CPU only. |
BroadcastTo |
|
Cast |
|
Ceil |
|
ClipByValue |
|
Concat |
|
ConcatV2 |
|
Const |
|
Conv2D |
|
Conv2DBackpropInput |
|
Conv3D |
|
Conv3DBackpropInputV2 |
|
Cos |
|
Cosh |
|
CropAndResize |
|
CTCGreedyDecoder |
Supported only with decoded indices output in a dense format. |
CTCLoss |
Supported only with decoded indices input in a dense format. |
CumSum |
|
DepthToSpace |
|
DepthwiseConv2dNative |
|
Einsum |
Supported only with equation that does not contain repeated labels within a subscript. |
Elu |
|
EmptyTensorList |
Supported only when it is part of a sub-graph of the special form. |
Enter |
Supported only when it is fused to the TensorIterator layer. |
Equal |
|
Erf |
|
Exit |
Supported only when it is fused to the TensorIterator layer. |
Exp |
|
ExpandDims |
|
ExperimentalSparseWeightedSum |
CPU only. |
ExtractImagePatches |
|
EuclideanNorm |
|
FakeQuantWithMinMaxVars |
|
FakeQuantWithMinMaxVarsPerChannel |
|
FFT |
Supported only when it is part of a sub-graph of the special form. |
FFT2D |
Supported only when it is part of a sub-graph of the special form. |
FFT3D |
Supported only when it is part of a sub-graph of the special form. |
FIFOQueueV2 |
Supported only when it is part of a sub-graph of the special form. |
Fill |
|
Floor |
|
FloorDiv |
|
FloorMod |
|
FusedBatchNorm |
|
FusedBatchNormV2 |
|
FusedBatchNormV3 |
|
Gather |
|
GatherNd |
|
GatherTree |
|
GatherV2 |
|
Greater |
|
GreaterEqual |
|
Identity |
Not needed for shape inference. |
IdentityN |
|
IFFT |
Supported only when it is part of a sub-graph of the special form. |
IFFT2D |
Supported only when it is part of a sub-graph of the special form. |
IFFT3D |
Supported only when it is part of a sub-graph of the special form. |
IteratorGetNext |
Supported only when it is part of a sub-graph of the special form. |
LRN |
|
LeakyRelu |
|
Less |
|
LessEqual |
|
Log |
|
Log1p |
|
LogicalAnd |
|
LogicalOr |
|
LogicalNot |
|
LogSoftmax |
|
LookupTableInsertV2 |
Supported only when it is part of a sub-graph of the special form. |
LoopCond |
Supported only when it is fused to the TensorIterator layer. |
MatMul |
|
Max |
|
MaxPool |
|
MaxPoolV2 |
Supported only for constant-foldable |
MaxPool3D |
|
Maximum |
|
Mean |
|
Merge |
Supported only when it is fused to the TensorIterator layer. |
Min |
|
Minimum |
|
MirrorPad |
|
Mod |
|
Mul |
|
Neg |
|
NextIteration |
Supported only when it is fused to the TensorIterator layer. |
NonMaxSuppressionV2 |
|
NonMaxSuppressionV3 |
|
NonMaxSuppressionV4 |
|
NonMaxSuppressionV5 |
|
NotEqual |
|
NoOp |
|
OneHot |
|
Pack |
|
Pad |
|
PadV2 |
|
Placeholder |
|
PlaceholderWithDefault |
|
Prod |
|
QueueDequeue |
Supported only when it is part of a sub-graph of the special form. |
QueueDequeueUpToV2 |
Supported only when it is part of a sub-graph of the special form. |
QueueDequeueV2 |
Supported only when it is part of a sub-graph of the special form. |
RandomUniform |
|
RandomUniformInt |
|
Range |
|
Rank |
|
RealDiv |
|
Reciprocal |
|
Relu |
|
Relu6 |
|
Reshape |
|
ResizeBilinear |
|
ResizeNearestNeighbor |
|
ResourceGather |
|
ReverseSequence |
|
ReverseV2 |
Supported only when it can be converted to the ReverseSequence operation. |
Roll |
|
Round |
|
Pow |
|
Rsqrt |
|
ScatterNd |
|
Select |
|
SelectV2 |
|
Shape |
|
Sigmoid |
|
Sin |
|
Sinh |
|
Size |
|
Slice |
|
Softmax |
|
Softplus |
|
Softsign |
|
SpaceToBatchND |
|
SpaceToDepth |
|
SparseFillEmptyRows |
Supported only when it is part of a sub-graph of the special form. |
SparseReshape |
Supported only when it is part of a sub-graph of the special form. |
SparseSegmentSum |
Supported only when it is part of a sub-graph of the special form. |
SparseSegmentMean |
Supported only when it is part of a sub-graph of the special form. |
SparseToDense |
CPU only |
Split |
|
SplitV |
|
Sqrt |
|
Square |
|
SquaredDifference |
|
Square |
|
Squeeze |
Cases in which squeeze axis is not specified are not supported. |
StatelessWhile |
|
StopGradient |
Not needed for shape inference. |
StridedSlice |
Supported only for constant-foldable |
Sub |
|
Sum |
|
Swish |
|
swish_f32 |
|
Switch |
Control flow propagation. |
Tan |
|
Tanh |
|
TensorArrayGatherV3 |
Supported only when it is fused to the TensorIterator layer. |
TensorArrayReadV3 |
Supported only when it is fused to the TensorIterator layer. |
TensorArrayScatterV3 |
Supported only when it is fused to the TensorIterator layer. |
TensorArraySizeV3 |
Supported only when it is fused to the TensorIterator layer. |
TensorArrayV3 |
Supported only when it is fused to the TensorIterator layer. |
TensorArrayWriteV3 |
Supported only when it is fused to the TensorIterator layer. |
TensorListPushBack |
Supported only when it is part of a sub-graph of the special form. |
Tile |
|
TopkV2 |
|
Transpose |
|
Unpack |
|
Variable |
|
VariableV2 |
|
Where |
Supported only when it is part of a sub-graph of the special form. |
ZerosLike |
TensorFlow Lite Supported Operations |
Limitations |
|---|---|
ABS |
|
ADD |
|
ADD_N |
|
ARG_MAX |
|
ARG_MIN |
|
AVERAGE_POOL_2D |
|
BATCH_MATMUL |
|
BATCH_TO_SPACE_ND |
|
BROADCAST_ARGS |
|
BROADCAST_TO |
|
CAST |
|
CEIL |
|
COMPLEX_ABS |
Supported in a specific pattern with RFFT2D |
CONCATENATION |
|
CONV_2D |
|
COS |
|
DEPTH_TO_SPACE |
|
DEPTHWISE_CONV_2D |
|
DEQUANTIZE |
|
DIV |
|
ELU |
|
EQUAL |
|
EXP |
|
EXPAND_DIMS |
|
FILL |
|
FLOOR |
|
FLOOR_DIV |
|
FLOOR_MOD |
|
FULLY_CONNECTED |
|
GATHER |
|
GATHER_ND |
|
GREATER |
|
GREATER_EQUAL |
|
HARD_SWISH |
|
L2_NORMALIZATION |
|
LEAKY_RELU |
|
LESS |
|
LESS_EQUAL |
|
LOG |
|
LOG_SOFTMAX |
|
LOGICAL_AND |
|
LOGICAL_NOT |
|
LOGICAL_OR |
|
LOGISTIC |
|
MATRIX_DIAG |
|
MAX_POOL_2D |
|
MAXIMUM |
|
MEAN |
|
MINIMUM |
|
MIRROR_PAD |
|
MUL |
|
NEG |
|
NOT_EQUAL |
|
ONE_HOT |
|
PACK |
|
PAD |
|
PADV2 |
|
POW |
|
PRELU |
|
QUANTIZE |
|
RANGE |
|
RANK |
|
REDUCE_ALL |
|
REDUCE_ANY |
|
REDUCE_MAX |
|
REDUCE_MIN |
|
REDUCE_PROD |
|
RELU |
|
RELU6 |
|
RESHAPE |
|
RESIZE_BILINEAR |
|
RESIZE_NEAREST_NEIGHBOR |
|
REVERSE_V2 |
|
RFFT2D |
Supported in a specific pattern with COMPLEX_ABS |
ROUND |
|
RSQRT |
|
SCATTER_ND |
|
SEGMENT_SUM |
|
SELECT |
|
SELECT_V2 |
|
SHAPE |
|
SIGN |
|
SIN |
|
SLICE |
|
SOFTMAX |
|
SPACE_TO_BATCH_ND |
|
SPACE_TO_DEPTH |
|
SPLIT |
|
SPLIT_V |
|
SQRT |
|
SQUARE |
|
SQUARED_DIFFERENCE |
|
SQUEEZE |
|
STRIDED_SLICE |
|
SUB |
|
SUM |
|
TANH |
|
TILE |
|
TOPK_V2 |
|
TRANSPOSE |
|
TRANSPOSE_CONV |
|
UNIQUE |
|
UNPACK |
|
WHERE |
|
ZEROS_LIKE |
TensorFlow 2 Keras Supported Operations |
Limitations |
|---|---|
ActivityRegularization |
|
Add |
|
AdditiveAttention |
|
AlphaDropout |
|
Attention |
|
Average |
|
AveragePooling1D |
|
AveragePooling2D |
|
AveragePooling3D |
|
BatchNormalization |
|
Bidirectional |
|
Concatenate |
|
Conv1D |
|
Conv1DTranspose |
Not supported if |
Conv2D |
|
Conv2DTranspose |
|
Conv3D |
|
Conv3DTranspose |
|
Cropping1D |
|
Cropping2D |
|
Cropping3D |
|
Dense |
|
DenseFeatures |
Not supported for categorical and crossed features. |
DepthwiseConv2D |
|
Dot |
|
Dropout |
|
ELU |
|
Embedding |
|
Flatten |
|
GRU |
|
GRUCell |
|
GaussianDropout |
|
GaussianNoise |
|
GlobalAveragePooling1D |
|
GlobalAveragePooling2D |
|
GlobalAveragePooling3D |
|
GlobalMaxPool1D |
|
GlobalMaxPool2D |
|
GlobalMaxPool3D |
|
LSTM |
|
LSTMCell |
|
Lambda |
|
LayerNormalization |
|
LeakyReLU |
|
LocallyConnected1D |
|
LocallyConnected2D |
|
MaxPool1D |
|
MaxPool2D |
|
MaxPool3D |
|
Maximum |
|
Minimum |
|
Multiply |
|
PReLU |
|
Permute |
|
RNN |
Not supported for some custom cells. |
ReLU |
|
RepeatVector |
|
Reshape |
|
Roll |
|
SeparableConv1D |
|
SeparableConv2D |
|
SimpleRNN |
|
SimpleRNNCell |
|
Softmax |
|
SpatialDropout1D |
|
SpatialDropout2D |
|
SpatialDropout3D |
|
StackedRNNCells |
|
Subtract |
|
ThresholdedReLU |
|
TimeDistributed |
|
UpSampling1D |
|
UpSampling2D |
|
UpSampling3D |
|
ZeroPadding1D |
|
ZeroPadding2D |
|
ZeroPadding3D |