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Results 1 - 2 of 2 for min_num_elements_for_weights_ (0.29 sec)

  1. tensorflow/compiler/mlir/quantization/tensorflow/passes/lift_quantizable_spots_as_functions_drq.cc

      explicit LiftQuantizableSpotsAsFunctionsDRQPass(
          const QuantMethod quantization_method, const OpSet target_opset,
          const int min_num_elements_for_weights) {
        quantization_method_ = quantization_method;
        target_opset_ = target_opset;
        min_num_elements_for_weights_ = min_num_elements_for_weights;
      }
    
      LiftQuantizableSpotsAsFunctionsDRQPass(
          const LiftQuantizableSpotsAsFunctionsDRQPass& other) {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 16:01:03 UTC 2024
    - 8.5K bytes
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  2. tensorflow/compiler/mlir/quantization/tensorflow/quantization_options.proto

      // supported for Post-training Dynamic Range Quantization. By default, it is
      // set to 1024. To disable this, set the value to -1 explicitly.
      int64 min_num_elements_for_weights = 8;
    
      // When set to `true`, freezes all variables in the model into constants.
      // When set to `false` the model's large constants are converted to variables.
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Mar 19 06:31:19 UTC 2024
    - 9.2K bytes
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