ai-techsystems / dnnc-operators

development and discussion of DNNC operators

dnnc-operators

Development and discussion of DNNC operators.

• To get started on development, see this Developer's getting started guide.

• To get an idea of how to implement numpy like interface with dnnc see dnnc Tensor Functions.

• To see how to implement dnnc python interface see this Implementation guide

• To refer back to the original Readme click here.

Below is the list of current ongoing operators list (Under Construction)

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Operator	Testcases	Dimensions required	Dimensions supported	Broadcasting required	Broadcasting supported	Completion status	Contributer
Abs	✔️	N D	N D	❌	❌	✔️	Hrishikesh
Acos	✔️	N D	N D	❌	❌	✔️	Hrishikesh
Acosh	✔️	N D	N D	❌	❌	✔️	Hrishikesh
Add	✔️	N D	N D	✔️	❌	❌	Gunjan
And	✔️	N D	N D	❌	❌	✔️	Hrishikesh
ArgMax
ArgMin
Asin	✔️	N D	N D	❌	❌	✔️	Hrishikesh
Asinh	✔️	N D	N D	❌	❌	✔️	Hrishikesh
Atan	✔️	N D	N D	❌	❌	✔️	Hrishikesh
Atanh	✔️	N D	N D	❌	❌	✔️	Hrishikesh
AveragePool
BatchNormalization
BitShift
Cast
Ceil
Clip
Compress
Concat
Constant
ConstantOfShape
Conv
ConvInteger
ConvTranspose
Cos
Cosh
CumSum
DepthToSpace
DequantizeLinear	✔️	N D	N D	❌	❌	can't pass both "float" and "int" as input	Gunjan
Div	✔️	N D	N D	✔️	❌	❌	Gunjan
Dropout
Elu	✔️	1 D	1 D	❌	❌	✔️	Gunjan
Equal	bool return doesn't work	N D	N D	✔️	❌	❌	Gunjan
Erf	✔️	N D	N D	❌	❌	✔️	Gunjan
Exp	✔️	N D	N D	❌	❌	✔️	Gunjan
Expand
EyeLike	Fails on large shapes	2 D	2 D	❌	❌	DataType required	Gunjan
Flatten	1 D doesn't work	N D	N D	❌	❌	✔️	Gunjan
Floor	✔️	N D	N D	❌	❌	✔️	Gunjan
GRU
Gather
GatherElements
Gemm	Output doesn't match with numpy	2 D	2 D	✔️	❌	❌	Gunjan
GlobalAveragePool		N D	N D	❌	❌	✔️	Nalin Shani
GlobalLpPool		N D	N D	❌	❌	✔️	Nalin Shani
GlobalMaxPool		N D	N D	❌	❌	✔️	Nalin Shani
Greater	bool return doesn't work	N D	N D	✔️	❌	❌	Nalin Shani
HardSigmoid	✔️	N D	N D	❌	❌	✔️	Nalin Shani
HardMax		N D	N D	❌	❌	✔️	Nalin Shani
Identity	✔️	N D	N D	❌	❌	✔️	Nalin Shani
If
InstanceNormalization		N D	N D	❌	❌	✔️	Nalin Shani
IsInf		N D	N D	❌	❌	✔️	Nalin Shani
IsNaN		N D	N D	❌	❌	✔️	Nalin Shani
LRN		N D	N D	❌	❌	✔️	Nalin Shani
LSTM
LeakyRelu	✔️	N D	N D	❌	❌	✔️	Nalin Shani
Less	bool return doesn't work	N D	N D	✔️	❌	❌	Nikhil
Log	✔️	N D	N D	❌	❌	✔️	Nikhil
LogSoftmax		2 D	N D	❌	❌	✔️	Nikhil
Loop
LpNormalization	works for 2D	N D	N D	❌	❌	✔️	Nikhil
LpPool
MatMul	4 D doesn't work	N D	4 D	❌	❌	✔️	Rohit
MatMulInteger	type mismatch	N D	2 D	❌	❌	❌	Nikhil
Max		N D	N D	✔️	❌	❌	Rohit
MaxPool
MaxRoiPool
MaxUnpool
Mean	type mismatch	N D	N D	✔️	❌	❌	Nikhil
Min	type mismatch	N D	N D	✔️	❌	❌	Nikhil
Mod
Mul
Multinomial
Neg
NonMaxSupression
NonZero
Not
OneHot
Or
PRelu
Pad
Pow
QLinearConv
QlinearMatMul
QuantizeLinear
RNN
RandomNormal
RandomNormalLike
RandomUniform
RandomUniformLike
Reciprocal
ReduceL1
ReduceL2
ReduceLogSum
ReduceLogSumExp
ReduceMax
ReduceMean
ReduceMin
ReduceProd
ReduceSum
ReduceSumSquare
Relu
Reshape
Resize
ReverseSequence
RoiAlign
Round
Scan
Scatter
ScatterElements
Selu
Shape
Shrink
Sigmoid		N D	3 D			✔️	Subham
Sign		N D	3 D			✔️	Subham
Sin		N D	3 D			✔️	Subham
Sinh		N D	3 D			✔️	Subham
Size
Slice
Softmax		2 D	N D			✔️	Subham
Softplus		N D	3 D			✔️	Subham
Softsign		N D	3 D			✔️	Subham
SpaceToDepth
Split
Sqrt		N D	3 D			✔️	Subham
Squeeze
StringNormalizer
Sub		N D	4 D	❌		✔️	Vishal
Sum
Tan		N D	3 D	❌		✔️	Vishal
Tanh		N D	3 D	❌		✔️	Vishal
TfIdfVectorizer
ThresholdedRelu		N D	N D	❌	❌	✔️	Rohit
Tile
TopK
Transpose		N D	3 D			✔️	Vishal
Unique
Unsqueeze
Upsample
Where
Xor		N D	N D	✔️	❌	❌	Vishal