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Results 1 - 2 of 2 for quantize_saved_model (0.21 sec)
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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 - 34.2K bytes - Viewed (0) -
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 - 14.2K bytes - Viewed (0)