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Results 1 - 2 of 2 for min_num_elements_for_weights (0.57 sec)
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tensorflow/compiler/mlir/lite/quantization/lite/quantize_weights.cc
quant_specs.inference_type = tflite::TflTypeToTfType(inference_type); quant_specs.weight_quantization = true; quant_specs.weight_only_quantization = weight_only_quantization; quant_specs.minimum_elements_for_weights = minimum_elements_for_weights; quant_specs.disable_per_channel = disable_per_channel; quant_specs.legacy_float_scale = legacy_float_scale; quant_specs.ops_blocklist = denylisted_mlir_op_names;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 23:15:24 UTC 2024 - 9.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/lite/quantize_weights.h
const tflite::TensorType& inference_type, const absl::flat_hash_set<std::string>& denylisted_ops, const CustomOpMap& custom_op_map, int64_t minimum_elements_for_weights = 1024, bool disable_per_channel = false, bool weight_only_quantization = false, bool legacy_float_scale = false); // Overloading methods to support old quantizer versions API
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 23:15:24 UTC 2024 - 4.2K bytes - Viewed (0)