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Results 1 - 2 of 2 for enable_custom_op_quantization_ (0.32 sec)

  1. tensorflow/compiler/mlir/lite/transforms/prepare_quantize_dynamic_range.cc

          !enable_dynamic_range_per_channel_quantization_for_dense_layers_;
      quant_specs_.minimum_elements_for_weights = min_elements_for_weights_;
    
      if (!enable_custom_op_quantization_.empty()) {
        ParseCustomOpSpecs(enable_custom_op_quantization_,
                           quant::CustomOpUpdateOptions::kInputIndices,
                           quant_specs_.custom_map);
      }
    
      ConvertTFLQuantOpsToMlirQuantOps(func);
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 16:01:03 UTC 2024
    - 20.8K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/lite/transforms/passes.td

          Option<"enable_float16_quantization_",
                  "enable-float16-quantization", "bool",
                  "false", "Whether apply float16 quantization. If false, int8 quantization is applied.">,
          Option<"enable_custom_op_quantization_",
                  "enable-custom-op-quantization", "std::string", "",
                  "Specifies which pairs of a custom op and indices are quantizable where the indices are separated with a space.">,
      ];
    }
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Apr 24 20:30:06 UTC 2024
    - 22.6K bytes
    - Viewed (0)
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