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Results 1 - 3 of 3 for ScaleFn (0.1 sec)
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tensorflow/compiler/mlir/lite/quantization/device_target.h
class QuantizeContext; using AdjacentOperations = llvm::SmallVectorImpl<Operation*>; using QuantizedMultipliers = llvm::SmallVector<QuantizedMultiplier, 4>; using QuantizedRanges = llvm::SmallVector<QuantizedRange, 4>; using ScaleFn = std::function<LogicalResult(QuantizeContext*, Operation*, AdjacentOperations*, bool*)>; using ScaleDecomposeFn = std::function<LogicalResult(Operation*, QuantizedMultipliers*,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 08 10:41:08 UTC 2024 - 7.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/device_target.cc
} else { // float signature->push_back(AnyQuantizedType()); } } LogicalResult DeviceTarget::RegisterKernel( llvm::StringRef kernel, const KernelSpecs::Signature& signature, const ScaleFn& fn, const ScaleDecomposeFn& dfn) { return specs_[kernel].Add(signature, {ScaleConstraintType::CustomScale, fn}); } namespace ph = std::placeholders; LogicalResult DeviceTarget::RegisterKernel(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 08 10:41:08 UTC 2024 - 7.3K bytes - Viewed (0) -
src/cmd/vendor/github.com/google/pprof/internal/measurement/measurement.go
if sampleType[i] == nil { ratios[i] = 1 continue } ratios[i], _ = Scale(1, st.Unit, sampleType[i].Unit) p.SampleType[i].Unit = sampleType[i].Unit } if err := p.ScaleN(ratios); err != nil { return fmt.Errorf("scale: %v", err) } } return nil } // CommonValueType returns the finest type from a set of compatible // types.
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri May 31 19:48:28 UTC 2024 - 8.8K bytes - Viewed (0)