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Results 1 - 2 of 2 for CreateI8F32UniformQuantizedPerAxisType (0.53 sec)
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tensorflow/compiler/mlir/quantization/common/uniform_quantized_types.h
// zero point values can be non-zero values. // If `narrow_range` is set true (ex: for weights), a restricted range of // integers will be used for symmetric mapping, i.e. [-127, 127]. UniformQuantizedPerAxisType CreateI8F32UniformQuantizedPerAxisType( Location loc, MLIRContext& context, ArrayRef<double> scales, ArrayRef<int64_t> zero_points, int quantization_dimension, bool narrow_range = false);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 5.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/uniform_quantized_types.cc
/*expressedType=*/FloatType::getF32(&context), scale, zero_point, /*storageTypeMin=*/llvm::minIntN(32), /*storageTypeMax=*/llvm::maxIntN(32)); } UniformQuantizedPerAxisType CreateI8F32UniformQuantizedPerAxisType( const Location loc, MLIRContext& context, const ArrayRef<double> scales, const ArrayRef<int64_t> zero_points, const int quantization_dimension, const bool narrow_range) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 8.4K bytes - Viewed (0)