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Results 1 - 2 of 2 for CreateI8F32UniformQuantizedPerAxisType (0.43 sec)

  1. 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
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  2. 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)
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