This file is generated from converter sources by scripts/generate_backend_operator_report.py.
Do not edit this file manually. Run make docs-backend-ops after backend changes.
- Converter source:
src/converters/onnx.rs - Executor source:
src/executors/onnx.rs - Converter operator count: 0
- Executor operator count: 0
- (none)
Executor-level operator coverage follows converter coverage for this backend.
- (none)
- Converter source:
src/converters/coreml_mlprogram.rs - Executor source:
src/executors/coreml.rs - Converter operator count: 88
- Executor operator count: 88
abs,hardSigmoid,reduceminadd,hardSwish,reduceproductargMax,identity,reducesumargMin,instanceNormalization,reducesumsquareaveragePool2d,layerNormalization,relubatchNormalization,leakyRelu,reshapecast,lesser,reverseceil,lesserOrEqual,roundEvenclamp,log,scatterElementsconcat,logicalAnd,scatterNDconv2d,logicalNot,sigmoidconvTranspose2d,logicalOr,signcos,logicalXor,sincumulativeSum,matmul,slicedequantizeLinear,max,softmaxdiv,maxPool2d,softpluselu,min,softsignequal,mul,spliterf,neg,sqrtexp,pad,squeezeexpand,pow,subfloor,prelu,tangather,quantizeLinear,tanhgatherElements,reciprocal,tilegelu,reducel1,transposegemm,reducel2,triangularglobalAveragePool,reducelogsum,unsqueezeglobalMaxPool,reducelogsumexp,wheregreater,reducemaxgreaterOrEqual,reducemean
Executor-level operator coverage follows converter coverage for this backend.
abs,hardSigmoid,reduceminadd,hardSwish,reduceproductargMax,identity,reducesumargMin,instanceNormalization,reducesumsquareaveragePool2d,layerNormalization,relubatchNormalization,leakyRelu,reshapecast,lesser,reverseceil,lesserOrEqual,roundEvenclamp,log,scatterElementsconcat,logicalAnd,scatterNDconv2d,logicalNot,sigmoidconvTranspose2d,logicalOr,signcos,logicalXor,sincumulativeSum,matmul,slicedequantizeLinear,max,softmaxdiv,maxPool2d,softpluselu,min,softsignequal,mul,spliterf,neg,sqrtexp,pad,squeezeexpand,pow,subfloor,prelu,tangather,quantizeLinear,tanhgatherElements,reciprocal,tilegelu,reducel1,transposegemm,reducel2,triangularglobalAveragePool,reducelogsum,unsqueezeglobalMaxPool,reducelogsumexp,wheregreater,reducemaxgreaterOrEqual,reducemean
- Converter source:
src/converters/trtx.rs - Executor source:
src/executors/trtx.rs - Converter operator count: 99
- Executor operator count: 99
abs,hardSigmoid,reduceLogSumadd,hardSwish,reduceLogSumExpargMax,identity,reduceMaxargMin,instanceNormalization,reduceMeanaveragePool2d,isInfinite,reduceMinbatchNormalization,isNaN,reduceProductcast,l2Pool2d,reduceSumceil,layerNormalization,reduceSumSquareclamp,leakyRelu,reluconcat,lesser,resample2dconv2d,lesserOrEqual,reshapeconvTranspose2d,linear,reversecos,log,roundEvencumulativeSum,logicalAnd,scatterElementsdequantizeLinear,logicalNot,scatterNDdiv,logicalOr,sigmoidelu,logicalXor,signequal,lstm,sinerf,lstmCell,sliceexp,matmul,softmaxexpand,max,softplusfloor,maxPool2d,softsigngather,min,splitgatherElements,mul,sqrtgatherND,neg,squeezegelu,notEqual,subgemm,pad,tanglobalAveragePool,pow,tanhglobalMaxPool,prelu,tilegreater,quantizeLinear,transposegreaterOrEqual,reciprocal,triangulargru,reduceL1,unsqueezegruCell,reduceL2,where
Executor-level operator coverage follows converter coverage for this backend.
abs,hardSigmoid,reduceLogSumadd,hardSwish,reduceLogSumExpargMax,identity,reduceMaxargMin,instanceNormalization,reduceMeanaveragePool2d,isInfinite,reduceMinbatchNormalization,isNaN,reduceProductcast,l2Pool2d,reduceSumceil,layerNormalization,reduceSumSquareclamp,leakyRelu,reluconcat,lesser,resample2dconv2d,lesserOrEqual,reshapeconvTranspose2d,linear,reversecos,log,roundEvencumulativeSum,logicalAnd,scatterElementsdequantizeLinear,logicalNot,scatterNDdiv,logicalOr,sigmoidelu,logicalXor,signequal,lstm,sinerf,lstmCell,sliceexp,matmul,softmaxexpand,max,softplusfloor,maxPool2d,softsigngather,min,splitgatherElements,mul,sqrtgatherND,neg,squeezegelu,notEqual,subgemm,pad,tanglobalAveragePool,pow,tanhglobalMaxPool,prelu,tilegreater,quantizeLinear,transposegreaterOrEqual,reciprocal,triangulargru,reduceL1,unsqueezegruCell,reduceL2,where