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Copy file name to clipboardExpand all lines: CONTRIBUTING.md
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│ └── <ahref="devtools/visualization">visualization</a> - Visualization tools for representing model structure and performance metrics.
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├── <ahref="docs">docs</a> - Static docs tooling and documentation source files.
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├── <ahref="examples">examples</a> - Examples of various user flows, such as model export, delegates, and runtime execution.
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├── <ahref="exir">exir</a> - Ahead-of-time library: model capture and lowering APIs. EXport Intermediate Representation (EXIR) is a format for representing the result of <ahref="https://pytorch.org/docs/main/export.ir_spec.html">torch.export</a>. This directory contains utilities and passes for lowering the EXIR graphs into different <ahref="/docs/source/ir-exir.md">dialects</a> and eventually suitable to run on target hardware.
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├── <ahref="exir">exir</a> - Ahead-of-time library: model capture and lowering APIs. EXport Intermediate Representation (EXIR) is a format for representing the result of <ahref="https://pytorch.org/docs/stable/export.html">torch.export</a>. This directory contains utilities and passes for lowering the EXIR graphs into different <ahref="/docs/source/ir-exir.md">dialects</a> and eventually suitable to run on target hardware.
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│ ├── <ahref="exir/_serialize">_serialize</a> - Serialize final export artifact.
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│ ├── <ahref="exir/backend">backend</a> - Backend delegate ahead of time APIs.
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│ ├── <ahref="exir/capture">capture</a> - Program capture.
Copy file name to clipboardExpand all lines: backends/qualcomm/builders/README.md
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*[Check Operator Spec](#check-operator-spec)
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*[Implementation](#implementation)
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*[Quantizer Annotation](#quantizer-annotation)
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*[Operator Support Status](#operator-support-status)
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*[Issues](#issues)
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*[Pull Requests](#pull-requests)
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nodes_to_wrappers,
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)
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```
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The logic should be similar and straightforward. Please carefully set arguments `tensor_type`
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The logic should be similar and straightforward. Please carefully set arguments `tensor_type`
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according to tensors' property.
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3. Define parameters:
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### Quantizer Annotation
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The operator now should be functional forQualcomm backends. For operator to workin fixed-precision, we should also make `QnnQuantizer` to correctly insert observers for recording calibrated encodings. Please read more on the [Quantization Annotation Tutorial](../quantizer//README.md).
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## Operator Support Status
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Please help update following table if you are contributing new operators:
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| Operators | HTP - 77/116 Enabled |
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|-----------|---------|
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| Argmax |✗|
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| Argmin |✓|
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| BatchNorm |✓|
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| BatchToSpace |✗|
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| Cast |✓|
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| ChannelShuffle |✗|
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| Concat |✓|
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| Conv2d |✓|
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| Conv3d |✗|
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| Convert |✓|
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| CreateSparse |✗|
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| CumulativeSum |✓|
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| DepthToSpace |✓|
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| DepthWiseConv2d |✓|
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| Dequantize |✓|
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| DetectionOutput |✗|
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| ElementWiseAbs |✓|
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| ElementWiseAdd |✓|
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| ElementWiseAnd |✓|
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| ElementWiseAsin |✗|
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| ElementWiseAtan |✗|
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| ElementWiseBinary |✗|
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| ElementWiseCeil |✓|
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| ElementWiseCos |✓|
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| ElementWiseDivide |✓|
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| ElementWiseEqual |✓|
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| ElementWiseExp |✓|
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| ElementWiseFloor |✗|
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| ElementWiseFloorDiv |✗|
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| ElementWiseGreater |✓|
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| ElementWiseGreaterEqual |✓|
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| ElementWiseLess |✓|
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| ElementWiseLessEqual |✓|
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| ElementWiseLog |✓|
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| ElementWiseMaximum |✓|
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| ElementWiseMinimum |✓|
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| ElementWiseMultiply |✓|
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| ElementWiseNeg |✓|
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| ElementWiseNeuron |✓|
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| ElementWiseNot |✓|
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| ElementWiseNotEqual |✓|
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| ElementWiseOr |✓|
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| ElementWisePower |✓|
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| ElementWiseRound |✗|
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| ElementWiseRsqrt |✓|
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| ElementWiseSelect |✓|
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| ElementWiseSign |✗|
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| ElementWiseSin |✓|
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| ElementWiseSquaredDifference |✗|
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| ElementWiseSquareRoot |✓|
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| ElementWiseSubtract |✓|
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| ElementWiseUnary |✗|
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| ElementWiseXor |✗|
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| Elu |✓|
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| ExpandDims |✓|
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| ExtractGlimpse |✗|
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| ExtractPatches |✗|
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| FullyConnected |✓|
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| Gather |✓|
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| GatherElements |✗|
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| GatherNd |✓|
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| Gelu |✓|
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| GetSparseIndices |✗|
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| GetSparseValues |✗|
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| GridSample |✗|
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| GroupNorm |✓|
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| HardSwish |✓|
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| InstanceNorm |✓|
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| L2Norm |✗|
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| LayerNorm |✓|
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| LogSoftmax |✓|
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| Lrn |✗|
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| Lstm |✗|
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| MatMul |✓|
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| MultiClassNms |✗|
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| NonMaxSuppression |✗|
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| Nonzero |✗|
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| OneHot |✗|
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| Pack |✓|
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| Pad |✓|
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| PoolAvg2d |✓|
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| PoolAvg3d |✗|
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| PoolMax2d |✓|
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| Prelu |✓|
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| Quantize |✓|
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| ReduceMax |✓|
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| ReduceMean |✓|
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| ReduceMin |✗|
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| ReduceSum |✓|
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| Relu |✓|
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| Relu1 |✗|
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| Relu6 |✗|
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| ReluMinMax |✓|
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| Reshape |✓|
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| Resize |✗|
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| ResizeBilinear |✓|
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| ResizeNearestNeighbor |✓|
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| RoiAlign |✗|
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| RmsNorm |✓|
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| ScatterElements |✗|
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| ScatterNd |✓|
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| Sigmoid |✓|
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| Softmax |✓|
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| SpaceToBatch |✗|
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| SpaceToDepth |✓|
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| SparseToDense |✗|
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| Split |✓|
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| Squeeze |✓|
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| StridedSlice |✓|
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| Tanh |✓|
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| Tile |✓|
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| TopK |✓|
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| TransPose |✓|
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| TransPoseConv2d |✓|
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| TransPoseConv3d |✗|
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| Unpack |✓|
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## Issues
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Please refer to the [issue section](../README.md#issues) for more information.
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