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Results 1 - 2 of 2 for quantize_saved_model (0.21 sec)

  1. tensorflow/compiler/mlir/quantization/tensorflow/python/quantize_model.py

          == _PresetMethod.METHOD_STATIC_RANGE_INT8
      ):
        # Check and populate calibration options.
        _populate_calibration_options(quantization_options)
    
    
    @tf_export.tf_export('quantization.experimental.quantize_saved_model')
    def quantize(
        saved_model_path: str,
        output_directory: Optional[str] = None,
        quantization_options: Optional[_QuantizationOptions] = None,
        representative_dataset: Optional[
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri May 17 03:36:50 UTC 2024
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  2. tensorflow/compiler/mlir/quantization/tensorflow/python/representative_dataset.py

      quantization_options = tf.quantization.experimental.QuantizationOptions(
          signature_keys=['serving_default'],
          representative_datasets=dataset_file_map,
      )
      tf.quantization.experimental.quantize_saved_model(
          '/tmp/input_model',
          '/tmp/output_model',
          quantization_options=quantization_options,
      )
      ```
      """
    
      def __init__(
          self,
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Mar 22 22:55:22 UTC 2024
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