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Results 1 - 2 of 2 for quantize_ptq_dynamic_range (0.23 sec)
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tensorflow/compiler/mlir/quantization/tensorflow/python/pywrap_quantize_model.cc
py::arg("py_function_library")); m.def( // If the function signature changes, likely its corresponding .pyi type // hinting should also change. // LINT.IfChange "quantize_ptq_dynamic_range", [](const absl::string_view src_saved_model_path, const absl::string_view dst_saved_model_path, const QuantizationOptions& quantization_options,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 09 06:33:29 UTC 2024 - 12K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/quantize_model.py
src_saved_model_path, quantization_options.signature_keys, quantization_options.tags, ) # Apply post-training dynamic range quantization to the model. pywrap_quantize_model.quantize_ptq_dynamic_range( src_saved_model_path, dst_saved_model_path, quantization_options_serialized=quantization_options.SerializeToString(), signature_keys=list(quantization_options.signature_keys),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 03:36:50 UTC 2024 - 34.2K bytes - Viewed (0)