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Results 1 - 2 of 2 for min_num_elements_for_weights_ (0.27 sec)
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tensorflow/compiler/mlir/quantization/tensorflow/passes/lift_quantizable_spots_as_functions_drq.cc
explicit LiftQuantizableSpotsAsFunctionsDRQPass( const QuantMethod quantization_method, const OpSet target_opset, const int min_num_elements_for_weights) { quantization_method_ = quantization_method; target_opset_ = target_opset; min_num_elements_for_weights_ = min_num_elements_for_weights; } LiftQuantizableSpotsAsFunctionsDRQPass( const LiftQuantizableSpotsAsFunctionsDRQPass& other) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 8.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/quantization_options.proto
// supported for Post-training Dynamic Range Quantization. By default, it is // set to 1024. To disable this, set the value to -1 explicitly. int64 min_num_elements_for_weights = 8; // When set to `true`, freezes all variables in the model into constants. // When set to `false` the model's large constants are converted to variables.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 19 06:31:19 UTC 2024 - 9.2K bytes - Viewed (0)