Summary
Jobs
build-deeploy
generic-kernels (Adder)
generic-kernels (MultIO)
generic-kernels (test1DConvolution)
generic-kernels (test2DConvolution)
generic-kernels (test1DDWConvolution)
generic-kernels (test2DDWConvolution)
generic-kernels (test1DPad)
generic-kernels (test2DPad)
generic-kernels (testGEMM)
generic-kernels (testMatMul)
generic-kernels (testMatMulAdd)
generic-kernels (testMaxPool)
generic-kernels (testRQConv)
generic-kernels (testRQMatMul)
generic-kernels (testReduceSum)
generic-kernels (testReduceMean)
generic-kernels (testSlice)
generic-kernels (testRequantizedDWConv)
generic-kernels (test2DRequantizedConv)
generic-models (simpleRegression)
generic-models (WaveFormer)
generic-models (simpleCNN)
generic-models (ICCT)
generic-models (ICCT_ITA)
generic-models (ICCT_8)
generic-models (ICCT_ITA_8)
generic-models (miniMobileNet)
generic-models (miniMobileNetv2)
cortexm-kernels (Adder)
cortexm-kernels (MultIO)
cortexm-kernels (test1DPad)
cortexm-kernels (test2DPad)
cortexm-kernels (testMatMul)
cortexm-kernels (testMatMulAdd)
cortexm-kernels (testMaxPool)
cortexm-kernels (testRQConv)
cortexm-kernels (testReduceSum)
cortexm-kernels (testReduceMean)
cortexm-kernels (testSlice)
cortexm-models (simpleRegression)
cortexm-models (WaveFormer)
mempool-kernels (Adder)
mempool-kernels (MultIO)
mempool-kernels (test1DConvolution)
mempool-kernels (test2DConvolution)
mempool-kernels (test1DDWConvolution)
mempool-kernels (test2DDWConvolution)
mempool-kernels (test1DPad)
mempool-kernels (test2DPad)
mempool-kernels (testGEMM)
mempool-kernels (testMatMul)
mempool-kernels (testMatMulAdd)
mempool-kernels (testMaxPool)
mempool-kernels (testRQConv)
mempool-kernels (testRQGEMM)
mempool-kernels (testRQMatMul)
mempool-kernels (testReduceSum)
mempool-kernels (testReduceMean)
mempool-kernels (testSlice)
mempool-kernels (testRequantizedDWConv)
mempool-kernels (test2DRequantizedConv)
mempool-models (simpleRegression)
mempool-models (simpleCNN)
mempool-models (ICCT)
mempool-models (ICCT_ITA)
mempool-models (ICCT_8)
mempool-models (ICCT_ITA_8)
mempool-models (miniMobileNet)
mempool-models (miniMobileNetv2)
siracusa-kernels (Adder)
siracusa-kernels (MultIO)
siracusa-kernels (test1DPad)
siracusa-kernels (test2DPad)
siracusa-kernels (testMatMul)
siracusa-kernels (testMatMulAdd)
siracusa-kernels (testRequantizedDWConv)
siracusa-kernels (test2DRequantizedConv)
siracusa-kernels (iSoftmax)
siracusa-kernels (testConcat)
siracusa-kernels (testRMSNorm)
siracusa-kernels (trueIntegerDivSandwich)
siracusa-kernels (Hardswish)
siracusa-kernels (RQHardswish)
siracusa-kernels (testBacktracking)
siracusa-models (simpleRegression)
siracusa-models (miniMobileNet)
siracusa-models (miniMobileNetv2)
siracusa-models (Attention)
siracusa-models (MLPerf/KeywordSpotting)
siracusa-models (MLPerf/ImageClassification)
siracusa-models (MLPerf/AnomalyDetection)
siracusa-kernels-tiled-singlebuffer-L2 (testMatMul, 64000, 32000, 16000, 8)
siracusa-kernels-tiled-singlebuffer-L2 (test2DRequantizedConv, 8000, 6000, 4000, 8)
siracusa-kernels-tiled-singlebuffer-L2 (testRequantizedDWConv, 2561, 8)
siracusa-kernels-tiled-singlebuffer-L2 (iSoftmax, 800, 500, 300, 8)
siracusa-kernels-tiled-singlebuffer-L2 (testConcat, 32000, 16000, 8000, 8)
siracusa-kernels-tiled-singlebuffer-L2 (testRMSNorm, 2048, 1024, 512, 8)
siracusa-kernels-tiled-singlebuffer-L2 (Hardswish, 750, 8)
siracusa-kernels-tiled-singlebuffer-L2 (RQHardswish, 750, 8)
siracusa-kernels-tiled-doublebuffer-L2 (testMatMul, 64000, 32000, 16000, 8, true)
siracusa-kernels-tiled-doublebuffer-L2 (test2DRequantizedConv, 8000, 6000, 5000, 8, true)
siracusa-kernels-tiled-doublebuffer-L2 (testRequantizedDWConv, 5121, 8, true)
siracusa-kernels-tiled-doublebuffer-L2 (iSoftmax, 1600, 1000, 600, 8, true)
siracusa-kernels-tiled-doublebuffer-L2 (testConcat, 64000, 32000, 16000, 8, true)
siracusa-kernels-tiled-doublebuffer-L2 (testRMSNorm, 4096, 2048, 1024, 8, true)
siracusa-kernels-tiled-doublebuffer-L2 (Hardswish, 750, 8, true)
siracusa-kernels-tiled-doublebuffer-L2 (RQHardswish, 750, 8, true)
siracusa-kernels-tiled-doublebuffer-L2 (microLlama/microLlama1, 60000, 20000, 10000, 8, true)
siracusa-kernels-tiled-doublebuffer-L2 (microLlama/microLlama8, 60000, 20000, 10000, 8, true)
siracusa-kernels-tiled-doublebuffer-L2 (microLlama/microLlama8_parallel, 60000, 20000, 10000, 8, ...
siracusa-models-tiled-singlebuffer-L2 (simpleRegression, 45000, 30000, 15000, 8)
siracusa-models-tiled-singlebuffer-L2 (miniMobileNet, 60000, 12000, 6000, 3000, 8)
siracusa-models-tiled-singlebuffer-L2 (miniMobileNetv2, 60000, 16000, 12000, 8000, 8)
siracusa-models-tiled-singlebuffer-L2 (Attention, 60000, 10000, 5000, 8)
siracusa-models-tiled-singlebuffer-L2 (microLlama/microLlama1, 60000, 10000, 5000, 8)
siracusa-models-tiled-singlebuffer-L2 (microLlama/microLlama8, 60000, 10000, 5000, 8)
siracusa-models-tiled-singlebuffer-L2 (microLlama/microLlama8_parallel, 60000, 10000, 5000, 8)
siracusa-models-tiled-singlebuffer-L2 (MLPerf/KeywordSpotting, 64000, 8)
siracusa-models-tiled-singlebuffer-L2 (MLPerf/ImageClassification, 64000, 8)
siracusa-models-tiled-singlebuffer-L2 (MLPerf/AnomalyDetection, 64000, 8)
siracusa-models-tiled-singlebuffer-L3 (simpleRegression, 45000, 30000, 16000, 8, L3)
siracusa-models-tiled-singlebuffer-L3 (miniMobileNet, 60000, 12000, 6000, 8, L3)
siracusa-models-tiled-singlebuffer-L3 (miniMobileNetv2, 60000, 16000, 12000, 8000, 8, L3)
siracusa-models-tiled-singlebuffer-L3 (Attention, 60000, 10000, 5000, 2500, 8, L3)
siracusa-models-tiled-singlebuffer-L3 (Transformer, 60000, 30000, 15000, 8, L3)
siracusa-models-tiled-singlebuffer-L3 (microLlama/microLlama1, 60000, 10000, 5000, 8, L3)
siracusa-models-tiled-doublebuffer-L3 (simpleRegression, 60000, 45000, 30000, 8, true, L3)
siracusa-models-tiled-doublebuffer-L3 (miniMobileNet, 60000, 24000, 12000, 6000, 8, true, L3)
siracusa-models-tiled-doublebuffer-L3 (miniMobileNetv2, 60000, 32000, 24000, 16000, 8, true, L3)
siracusa-models-tiled-doublebuffer-L3 (Attention, 60000, 20000, 10000, 5000, 8, true, L3)
siracusa-models-tiled-doublebuffer-L3 (Transformer, 60000, 30000, 15000, 8, true, L3)
siracusa-neureka-kernels-tiled-singlebuffer-L2 (testRequantizedLinear, 16000, 8)
siracusa-neureka-kernels-tiled-singlebuffer-L2 (testPointwise, 32000, 8)
siracusa-neureka-kernels-tiled-singlebuffer-L2 (testPointwiseConvBNReLU, 32000, 8)
siracusa-neureka-kernels-tiled-singlebuffer-L2 (testPointwiseUnsignedWeights, 32000, 8)
siracusa-neureka-kernels-tiled-doublebuffer-L2 (testRequantizedLinear, 16000, 8, true)
siracusa-neureka-kernels-tiled-doublebuffer-L2 (testPointwise, 32000, 8, true)
siracusa-neureka-kernels-tiled-doublebuffer-L2 (testPointwiseConvBNReLU, 32000, 8, true)
siracusa-neureka-kernels-tiled-doublebuffer-L2 (testPointwiseUnsignedWeights, 32000, 8, true)
siracusa-neureka-models-tiled-singlebuffer-L3 (miniMobileNet, 2000, 8, L3)
siracusa-neureka-models-tiled-singlebuffer-L3 (Attention, 2500, 8, L3)
siracusa-neureka-models-tiled-singlebuffer-L3 (Transformer, 15000, 8, L3)
siracusa-neureka-models-tiled-singlebuffer-L3 (microLlama/microLlama1, 10000, 8, L3)
siracusa-neureka-models-tiled-doublebuffer-L3 (miniMobileNet, 2000, 8, true, L3)
siracusa-neureka-models-tiled-doublebuffer-L3 (Attention, 5000, 8, true, L3)
siracusa-neureka-models-tiled-doublebuffer-L3 (Transformer, 30000, 8, true, L3)
siracusa-neureka-kernels-tiled-singlebuffer-L2-wmem (testRequantizedLinear, 16000, 8, true)
siracusa-neureka-kernels-tiled-singlebuffer-L2-wmem (testPointwise, 32000, 8, true)
siracusa-neureka-kernels-tiled-singlebuffer-L2-wmem (testPointwiseConvBNReLU, 32000, 8, true)
siracusa-neureka-kernels-tiled-singlebuffer-L2-wmem (testPointwiseUnsignedWeights, 32000, 8, true)
siracusa-neureka-models-tiled-doublebuffer-L3-wmem (miniMobileNet, 2000, 8, true, L3, true)
siracusa-neureka-models-tiled-doublebuffer-L3-wmem (Attention, 2500, 8, true, L3, true)
siracusa-neureka-models-tiled-doublebuffer-L3-wmem (Transformer, 30000, 8, true, L3, true)
siracusa-neureka-models-tiled-doublebuffer-L3-wmem (microLlama/microLlama1, 10000, 8, true, L3, t...
deeploy-state-serialization (simpleRegression, QEMU-ARM)
deeploy-state-serialization (simpleRegression, Siracusa)
deeploy-state-serialization (simpleRegression, MemPool)
deeploy-state-serialization (simpleRegression, Generic)
deeploy-memory-level-extension (simpleRegression, QEMU-ARM)
deeploy-memory-level-extension (simpleRegression, Siracusa)
deeploy-memory-level-extension (simpleRegression, MemPool)
deeploy-memory-level-extension (simpleRegression, Generic)
deeploy-tiler-extension (simpleRegression, Siracusa)
deeploy-tiler-extension (simpleCNN, Siracusa)
deeploy-tiler-extension (testMatMul, Siracusa)
deeploy-tiler-extension (testMaxPool, Siracusa)
deeploy-tiler-extension-fail (simpleRegression, Siracusa)
deeploy-tiler-extension-fail (simpleCNN, Siracusa)
deeploy-tiler-extension-fail (testMatMul, Siracusa)
deeploy-tiler-extension-fail (testMaxPool, Siracusa)
deeploy-memory-allocation-extension (simpleRegression, Siracusa)
deeploy-memory-allocation-extension (simpleCNN, Siracusa)
deeploy-memory-allocation-extension (miniMobileNet, Siracusa)
deeploy-memory-allocation-extension (miniMobileNetv2, Siracusa)
deeploy-memory-allocation-extension (testMatMul, Siracusa)
deeploy-memory-allocation-extension (testMaxPool, Siracusa)
deeploy-typing
deeploy-regex-matching
linting
You can’t perform that action at this time.