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Results 1 - 3 of 3 for AffineOpCoefficient (0.24 sec)
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tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization_traits.h
// // class Conv2DOp // : public Op<Conv2DOp, OpTrait::quant::AffineOpCoefficient<0>::Impl> // template <int QuantDim, int OperandIndex = 1> class AffineOpCoefficient { public: template <typename ConcreteType> class Impl : public TraitBase<ConcreteType, AffineOpCoefficient<QuantDim, OperandIndex>::Impl> { public:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 05 07:39:40 UTC 2024 - 5.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization.td
// and also the quantization dimension if per-axis quantization is support. // If the quantization dimension is -1, per-axis quantization isn't supported. class AffineOpCoefficient<int dim, int index> : NativeOpTrait< !strconcat("quant::AffineOpCoefficient<", !interleave([dim, index], ", "), ">::Impl")>; // Specify this trait if the op does have quantizable output. Quantizers will
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 05 07:39:40 UTC 2024 - 8.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/tools/op_quant_spec_getters_gen.cc
// TableGenMain. // NOLINTNEXTLINE static bool OpQuantSpecWriter(raw_ostream &os, RecordKeeper &records) { llvm::Regex acc_uniform_trait_regex{"AccumulatorUniformScale<([0-9]*),"}; llvm::Regex coeff_index_trait_regex{"AffineOpCoefficient<(-?[0-9]*),"}; llvm::Regex fixed_uniform_trait_regex{ "FixedResultUniformScale<([0-9]+).*(true|false)>"}; emitSourceFileHeader("Generated Ops Quant Spec Getters", os);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 15 11:18:44 UTC 2024 - 4.9K bytes - Viewed (0)