- Sort Score
- Result 10 results
- Languages All
Results 1 - 3 of 3 for SetInputNodesQuantizationParams (0.29 sec)
-
tensorflow/compiler/mlir/quantization/tensorflow/passes/prepare_quantize.cc
// non-float tensor types will be skipped because they are not quantizable. // Return true if number of input nodes doesn't equal to that of the input // ranges. bool SetInputNodesQuantizationParams(func::FuncOp func); // The function might contain more stats ops than required, and it will // introduce requantize if the calibration stats have conflicts. This method
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 17.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/prepare_quantize.cc
// non-float tensor types will be skipped because they are not quantizable. // Return true if number of input nodes doesn't equal to that of the input // ranges. bool SetInputNodesQuantizationParams(func::FuncOp func); // The function might contain more stats ops than required, and it will // introduce requantize if the calibration stats have conflicts. This method
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 17.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/python/saved_model_to_tfl_flatbuffer.cc
} if (toco_flags.has_qdq_conversion_mode() && toco_flags.qdq_conversion_mode() != "NONE") { // Setting this flag causes // PrepareQuantize::SetInputNodesQuantizationParams() to be false and allows // PrepareQuantizePass to complete. For the most part this step is // unnecessary for non-TF QDQ models. pass_config.quant_specs.disable_set_input_nodes_quantization_params = true;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sun May 12 12:39:37 UTC 2024 - 11K bytes - Viewed (0)