SMAUG
Simulating Machine Learning Applications on gem5-Aladdin
- a -
addFinishFlag() :
smaug::SmvAcceleratorPool
advanceRegion() :
smaug::TensorRegionIndexIterator
allocateAllTensors() :
smaug::SmaugTest
allocateStorage() :
smaug::Tensor
asTensorProto() :
smaug::Tensor
asTensorShapeProto() :
smaug::TensorShape
- c -
computeBasicTileShapes() :
smaug::smv::bn::TilingOptimizer
,
smaug::smv::conv::TilingOptimizer
,
smaug::smv::fc::TilingOptimizer
,
smaug::smv::pool::TilingOptimizer
ConcatOp() :
smaug::ConcatOp< Backend >
copyDataToAllTiles() :
smaug::TiledTensor
copyDataToTile() :
smaug::TiledTensor
createAllTensors() :
smaug::EltwiseOp< Backend >
,
smaug::Operator
,
smaug::PoolingOp< Backend >
,
smaug::UnaryOp< Backend >
createAndFillTensorsWithData() :
smaug::SmaugTest
createWeightsTensors() :
smaug::ConvolutionOp< Backend >
currentIndex() :
smaug::TensorIndexIterator
- d -
data() :
smaug::Tensor
determineBestTilingDims() :
smaug::smv::bn::TilingOptimizer
,
smaug::smv::conv::TilingOptimizer
,
smaug::smv::fc::TilingOptimizer
,
smaug::smv::pool::TilingOptimizer
dispatchThread() :
smaug::ThreadPool
doTiling() :
smaug::smv::bn::TilingOptimizer
- e -
enum2DTensorTilingConfigs() :
smaug::smv::TilingOptimizerBase
enum4DTensorTilingConfigs() :
smaug::smv::TilingOptimizerBase
- f -
fillData() :
smaug::Tensor
fillHalfData() :
smaug::Tensor
findBestTilingDims() :
smaug::smv::TilingOptimizerBase
- g -
gatherDataFromTile() :
smaug::TiledTensor
generateRowwiseOutputTiledTensor() :
smaug::smv::conv::TilingOptimizer
getIndex() :
smaug::TensorIndexIterator
getInputPadding() :
smaug::ConvolutionOp< Backend >
getNextAvailableAccelerator() :
smaug::SmvAcceleratorPool
getNumParameters() :
smaug::Operator
getParameterizableInputs() :
smaug::Operator
getStorageDim() :
smaug::TensorShape
getTileWithData() :
smaug::TiledTensor
- i -
initThreadPool() :
smaug::ThreadPool
isDead() :
smaug::MergeOp< Backend >
,
smaug::Operator
isDimNHTiled() :
smaug::TiledTensor
- j -
join() :
smaug::SmvAcceleratorPool
joinAll() :
smaug::SmvAcceleratorPool
joinThreadPool() :
smaug::ThreadPool
- m -
maybeRunOperator() :
smaug::Scheduler
- o -
operator[]() :
smaug::TiledTensor
- p -
padding() :
smaug::TensorShape
parallelCopyTileData() :
smaug::TiledTensor
- r -
resolvePath() :
smaug::SmaugTest
run() :
smaug::Operator
,
smaug::SmvAvgPoolingOp
,
smaug::SmvMaxPoolingOp
,
smaug::SmvPoolingOp
runNA() :
smaug::SmvBatchNormOp
runNetwork() :
smaug::Scheduler
runNHWC() :
smaug::SmvBatchNormOp
,
smaug::SmvConvolutionOp
- s -
scheduleReady() :
smaug::Scheduler
setConcatAxis() :
smaug::ConcatOp< Backend >
setMultiples() :
smaug::RepeatOp< Backend >
setNumInputs() :
smaug::ConcatOp< Backend >
setNumPendingInputs() :
smaug::Operator
setPaddingSize() :
smaug::PaddingOp< Backend >
setShape() :
smaug::ReshapeOp< Backend >
setSplitAxis() :
smaug::SplitOp< Backend >
setSplits() :
smaug::SplitOp< Backend >
setTile() :
smaug::TiledTensor
size() :
smaug::ThreadPool
startIndex() :
smaug::Tensor
- t -
Tensor() :
smaug::Tensor
ThreadPool() :
smaug::ThreadPool
Tile() :
smaug::TiledTensor::Tile
TiledTensor() :
smaug::TiledTensor
- u -
untile() :
smaug::TiledTensor
updateChildren() :
smaug::Scheduler
- v -
validate() :
smaug::Operator
,
smaug::PoolingOp< Backend >
,
smaug::UnaryOp< Backend >
verifyOutputs() :
smaug::SmaugTest
- w -
workerLoop() :
smaug::ThreadPool
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