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| BatchNormOpGenericAdaptor (RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions={}) |
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| BatchNormOpGenericAdaptor (RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions={}) |
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| BatchNormOpGenericAdaptor (RangeT values, ::mlir::DictionaryAttr attrs) |
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| BatchNormOpGenericAdaptor (RangeT values, const BatchNormOpGenericAdaptorBase &base) |
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template<typename LateInst = BatchNormOp, typename = std::enable_if_t<std::is_same_v<LateInst, BatchNormOp>>> |
| BatchNormOpGenericAdaptor (RangeT values, LateInst op) |
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std::pair< unsigned, unsigned > | getODSOperandIndexAndLength (unsigned index) |
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RangeT | getODSOperands (unsigned index) |
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ValueT | getInput () |
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ValueT | getRunningMean () |
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ValueT | getRunningVar () |
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ValueT | getWeight () |
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ValueT | getBias () |
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RangeT | getOperands () |
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| BatchNormOpGenericAdaptorBase (::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions={}) |
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| BatchNormOpGenericAdaptorBase (BatchNormOp op) |
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std::pair< unsigned, unsigned > | getODSOperandIndexAndLength (unsigned index, unsigned odsOperandsSize) |
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const Properties & | getProperties () |
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::mlir::DictionaryAttr | getAttributes () |
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::mlir::BoolAttr | getTrainingAttr () |
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bool | getTraining () |
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::mlir::FloatAttr | getEpsilonAttr () |
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::llvm::APFloat | getEpsilon () |
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::mlir::FloatAttr | getMomentumAttr () |
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::llvm::APFloat | getMomentum () |
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::mlir::tt::ttnn::MemoryConfigAttr | getMemoryConfigAttr () |
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::std::optional<::mlir::tt::ttnn::MemoryConfigAttr > | getMemoryConfig () |
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◆ Base
template<typename RangeT >
◆ ValueT
template<typename RangeT >
◆ BatchNormOpGenericAdaptor() [1/5]
template<typename RangeT >
◆ BatchNormOpGenericAdaptor() [2/5]
template<typename RangeT >
◆ BatchNormOpGenericAdaptor() [3/5]
template<typename RangeT >
◆ BatchNormOpGenericAdaptor() [4/5]
template<typename RangeT >
◆ BatchNormOpGenericAdaptor() [5/5]
template<typename RangeT >
template<typename LateInst = BatchNormOp, typename = std::enable_if_t<std::is_same_v<LateInst, BatchNormOp>>>
◆ getBias()
template<typename RangeT >
◆ getInput()
template<typename RangeT >
◆ getODSOperandIndexAndLength()
template<typename RangeT >
◆ getODSOperands()
template<typename RangeT >
◆ getOperands()
template<typename RangeT >
◆ getRunningMean()
template<typename RangeT >
◆ getRunningVar()
template<typename RangeT >
◆ getWeight()
template<typename RangeT >
◆ odsOperands
template<typename RangeT >
The documentation for this class was generated from the following file:
- /__w/tt-mlir/tt-mlir/build/include/ttmlir/Dialect/TTNN/IR/TTNNOps.h.inc