TIM-VX/src/tim/vx/ops

INFO: Actual implementations may differ from reference link in terms of dimensions and parameters supported

TIM-VX API	Internal Op	Status	Reference
Add	ADD	Mapped	tf.math.add
Multiply	MULTIPLY	Mapped	tf.math.multiply
Conv2d	CONV2D	Mapped	tf.nn.conv2d tf.nn.atros_conv2d tf.nn.depthwise_conv2d
Softmax	SOFTMAX	Mapped	tf.nn.softmax
Pool2d	POOL	Mapped	tf.nn.pool
LeakyRelu	LEAKY_RELU	Mapped	tf.nn.leaky_relu
Concat	CONCAT	Mapped	tf.concat
Split	SPLIT	Mapped	tf.split
	NOOP	Unmapped
	ROI_POOL	Unmapped	ANEURALNETWORKS_ROI_POOLING
BatchNorm	BATCH_NORM	Mapped	tf.nn.batch_normalization
	PROPOSAL	Unmapped
DeConv2d	DECONVOLUTION	Mapped	tf.nn.conv2d_transpose
Reshape	RESHAPE	Mapped	tf.reshape
Transpose	PERMUTE	Mapped	tf.transpose
Prelu	PRELU	Mapped	tf.keras.layers.PReLU
	UPSAMPLE	Unmapped
Relu	RELU	Mapped	tf.nn.relu
	RELUN	Deprecated	tf.keras.layers.ReLU(max_value=N)
	LSTM	Unmapped	tf.keras.layers.LSTM
Reorg	REORG	Mapped	darknet.reorg
	VARIABLE	Unmapped	tf.variable
L2Normalization	L2_NORMALIZE	Mapped	tf.math.l2_normalize
FullyConnected	FCL2	Mapped	tf.keras.layers.Dense
	POOLWITHARGMAX	Unmapped	tf.nn.max_pool_with_argmax
ArgMax	ARGMAX	Mapped	tf.math.argmax
Maximum	MAXIMUM	Mapped	tf.math.maximum
	L2NORMALIZESCALE	UnMapped
	CROP	Unmapped
Sub	SUBTRACT	Mapped	tf.math.subtract
Relu6	RELU6	Mapped	tf.nn.relu6
Sigmoid	SIGMOID	Mapped	tf.math.sigmoid
Tanh	TANH	Mapped	tf.math.tanh
Sqrt	SQRT	Mapped	tf.math.sqrt
Rsqrt	RSQRT	Mapped	tf.math.rsqrt
SoftRelu	SOFTRELU	Mapped	tf.math.softplus
Div	DIVIDE	Mapped	tf.math.divide
Dropout	DROPOUT	Mapped	f(x) = x*ratio
	SHUFFLECHANNEL	Unmapped	ANEURALNETWORKS_CHANNEL_SHUFFLE
Resize	RESIZE	Mapped	tf.image.resize
Reverse	REVERSE	Mapped	tf.reverse
DepthToSpace	DEPTH2SPACE	Mapped	tf.nn.depth_to_space
SpaceToDepth	SPACE2DEPTH	Mapped	tf.nn.space_to_depth
DataConvert	DATACONVERT	Mapped
Slice	SLICE	Mapped	tf.slice
Elu	ELU	Mapped	tf.nn.elu
Batch2Space	BATCH2SPACE	Mapped	tf.batch_to_space
Space2Batch	SPACE2BATCH	Mapped	tf.space_to_batch
Pad	PAD	Mapped	tf.pad
	IMAGEPROCESS	Unmapped
	MATRIXMUL	Unmapped	tf.experimental.numpy.matmul
	LSTMUNIT	Unmapped
	LAYER_NORM	Unmapped	tf.keras.layers.LayerNormalization
ReduceMin	REDUCE_MIN	Mapped	tf.math.reduce_min
ReduceMax	REDUCE_MAX	Mapped	tf.math.reduce_max
ReduceAny	REDUCE_ANY	Mapped	tf.math.reduce_any
ReduceProd	REDUCE_PROD	Mapped	tf.math.reduce_prod
ReduceMean	REDUCE_MEAN	Mapped	tf.math.reduce_mean
	INSTANCE_NORM	Unmapped	tfa.layers.InstanceNormalization
	TENSORSTACKCONCAT	Unmapped
StridedSlice	STRIDED_SLICE	Mapped	tf.strided_slice
	SIGNAL_FRAME	Unmapped
	A_TIMES_B_PLUS_C	Unmapped	tf.add(tf.mul(A, B), C)
	SVDF	Unmapped	ANEURALNETWORKS_SVDF
Abs	ABS	Mapped	tf.math.abs
	CONV1D	Unmapped	tf.nn.conv1d
NBG	NBG	Mapped
	CONCATSHIFT	Unmapped
LocalResponseNormalization	LRN2	Mapped	tf.nn.local_response_normalization
Greater	RELATIONAL_OPS_GREATER	Mapped	tf.math.greater
GreaterOrEqual	RELATIONAL_OPS_GREATER_EQUAL	Mapped	tf.math.greater_equal
Less	RELATIONAL_OPS_LESS	Mapped	tf.math.less
LessOrEqual	RELATIONAL_OPS_LESS_EQUAL	Mapped	tf.math.less_equal
Equal	RELATIONAL_OPS_EQUAL	Mapped	tf.math.equal
NotEqual	RELATIONAL_OPS_NOT_EQUAL	Mapped	tf.math.not_equal
	SYNC_HOST	Unmapped
Pow	POW	Mapped	tf.math.pow
	FLOORDIV	Unmapped	tf.math.floordiv
Minimum	MINIMUM	Mapped	tf.math.minimum
	SPATIAL_TRANSFORMER	Unmapped
And	LOGICAL_OPS	Mapped	tf.math.logical_and
Or	LOGICAL_OPS	Mapped	tf.math.logical_or
Select	SELECT	Mapped	tf.where
	LSTMUNIT_ACTIVATION	Unmapped
	LSTMUNIT_OVXLIB	Unmapped
	TENSOR_ADD_MEAN_STDDEV_NORM	Unmapped
Relu1	RELU1	Mapped	tf.keras.layers.ReLU(max_value=1.0)
Stack	STACK	Mapped	tf.stack
Floor	FLOOR	Mapped	tf.math.floor
Square	SQUARE	Mapped	tf.math.square
Neg	NEG	Mapped	tf.math.negative
Exp	EXP	Mapped	tf.math.exp
	LSTM_OVXLIB	Unmapped
	PRE_PROCESS_TENSOR	Unmapped
	HASHTABLE_LOOKUP	Unmapped	ANEURALNETWORKS_HASHTABLE_LOOKUP
	EMBEDDING_LOOKUP	Unmapped	ANEURALNETWORKS_EMBEDDING_LOOKUP
	LSH_PROJECTION	Unmapped	ANEURALNETWORKS_LSH_PROJECTION
	RNN	Unmapped	ANUERALNETWORKS_RNN
Clip	CLIP	Mapped	tf.clip_by_value
	POST_PROCESS	Unmapped
	PRE_PROCESS_GRAY	Unmapped
	UNSTACK	Unmapped	tf.unstack
	PRE_PROCESS_RGB	Unmapped
	PRE_PROCESS	Unmapped
AddN	ADDN	Mapped	tf.math.add_n
	PRE_PROCESS_YUV420	Unmapped
	EXTRA_ENDING	InternalOnly
Gather	GATHER	Mapped	tf.gather
	TILE	Unmapped	tf.tile
	GROUPED_CONV2D	Unmapped	ANEURALNETWORKS_GROUPED_CONV_2D
	TOPK	Unmapped	tf.math.top_k
	PRE_PROCESS_BGRA	Unmapped
LogicalNot	LOGICAL_NOT	Mapped	tf.math.logical_not
Sin	SIN	Mapped	tf.math.sin
Log	LOG	Mapped	tf.math.log
ArgMin	ARGMIN	Mapped	tf.math.argmin
	ROI_ALIGN	Unmapped	ANEURALNETWORKS_ROI_ALIGN
	HEATMAP_MAX_KEYPOINT	Unmapped	ANEURALNETWORKS_HEATMAP_MAX_KEYPOINT
	AXIS_ALIGNED_BBOX_TRANSFORM	Unmapped	ANEURALNETWORKS_AXIS_ALIGNED_BBOX_TRANSFORM
	BOX_WITH_NMS_LIMIT	Unmapped	ANEURALNETWORKS_BOX_WITH_NMX_LIMIT
	GENERATE_PROPOSALS	Unmapped	ANEURALNETWORKS_GENERATE_PROPOSALS
	DETECTION_POSTPROCESS	Unmapped	ANEURALNETWORKS_DETECTION_POSTPROCESSING
	RANDOM_MULTINOMIAL	Unmapped	ANEURALNETWORKS_RANDOM_MULTINOMIAL
	LOG_SOFTMAX	Unmapped	tf.nn.log_softmax
	RELU_KERAS	Unmapped	tf.keras.layers.ReLU
	GRU_OVXLIB	Unmapped
	GRUCELL_OVXLIB	Unmapped
	UNIDIRECTIONAL_SEQUENCE_RNN	Unmapped
	QUANTIZED_16BIT_LSTM	Unmapped
	BIDIRECTIONAL_SEQUENCE_RNN	Unmapped
	BIDIRECTIONAL_SEQUENCE_LSTM	Unmapped
	RNNCELL_OVXLIB	Unmapped
HardSwish	SWISH	Mapped	tf.keras.activations.swish
	DEPTHWISE_CONV1D	Unmapped
GatherNd	GATHER_ND	Mapped	tf.gather_nd
Cast	CAST	Mapped	tf.cast
	LINEAR	Unmapped	f(x) = a*x + b
	BATCHNORM_SINGLE	Unmapped	tf.nn.batch_normalization
	MOMENTS	Unmapped	tf.moments
Squeeze	SQUEEZE	Mapped	tf.squeeze
HardSigmoid	HARD_SIGMOID	Mapped	tf.keras.activations.hard_sigmoid
Mish	MISH	Mapped	tfa.activations.mish
	EXPAND_BROADCAST	Unmapped
	PRE_PROCESS_YUV444	Unmapped
	PRE_PROCESS_NV12	Unmapped
	SCATTER_ND	Unmapped	tf.scatter_nd
	DECONVOLUTION1D	Unmapped	tf.nn.conv1d_transpose
	INTERP	Unmapped
	RESIZE_1D	Unmapped
	CONV_RELU	Deprecated
	CONV_RELU_POOL	Deprecated
	FCL	Deprecated
	FCL_RELU	Deprecated
	LRN	Deprecated
	SCALE	Deprecated