converter.experimental_new_quantizer= False#it must be false if TF version is not 2.4.1converter.representative_dataset =representative_dataset tflite_model=converter.convert() save_tflite_file= args.input_onnx.replace("onnx","tflite") save_tflite_path=os.path.join( args.output_dir, os.pat...
使用TensorFlow的tf.lite.TFLiteConverter类将TensorFlow模型转换为TFLite模型。 python import tensorflow as tf # 加载转换后的TensorFlow模型(假设是一个SavedModel) converter = tf.lite.TFLiteConverter.from_saved_model('output_model') # 转换模型 tflite_model = converter.convert() # 保存TFLite模型 with ...
TF to TFLite To convert TFSavedModelformat into TFLite models, you can use officialtf.lite.TFLiteConverterclass. # Convert the modelconverter=tf.lite.TFLiteConverter.from_saved_model(tf_model_path)tflite_model=converter.convert()# Save the modelwithopen(tflite_model_path,'wb')asf:f.write(...
So the issue is in the TFLite converter, seemingly with limited supported data types.skyler1537 commented Jun 3, 2020 @mgarbade Running into the same issue here. Did you find a way around this issue to convert to tflite?Author mgarbade commented Jun 12, 2020 • edited @skyler1253 ...
yolov5 release 6.1版本增加了TensorRT、Edge TPU和OpenVINO的支持，并提供了新的默认单周期线性LR调度器，以128批处理大小的再训练模型。YOLOv5现在正式支持11种不同的权重，不仅可以直接导出，还可以用于推理(detect.py和PyTorch Hub)，以及在导出后对mAP配置文件和速度结果进行验证。
tflite_convert \ --output_file=my_model.tflite \ --graph_def_file=my_model.pb \ --input_arrays=input.1 \ --output_arrays=497 \ --enable_v1_converter# <-- needed for conversion of frozen graphs Fatal Python error: Aborted
现在您可以直接在移动的上运行PyTorch模型。查看PyTorch Mobile的文档here
使用converter_lite转换onnx模型到mindir时,出现错误: [ERROR] ME(933796,7f184541cf40,converter_lite):2023-09-15-15:47:15.844.568 [mindspore/ccsrc/cxx_api/model/acl/model_converter.cc:200] operator()] Save ge model to buffer failed. [ERROR] ME(933796,7f184541cf40,converter_lite):2023-...
import tensorflow as tf #加载模型 tensorflow训练好保存的h5模型 model = tf.keras.models.load_model('M:\Edit\pythonProject1\cat_and_dog\model_design.h5') #使用 convert() from_keras_model(model) 方法进行转换 converter = tf.lite.TFLiteConverter.from_keras_model(model) ...
D Save log info to: ./logg.log E Catch exception when loading onnx model: yolo.onnx! E Traceback (most recent call last): E File "rknn/api/rknn_base.py", line 343, in rknn.api.rknn_base.RKNNBase.load_onnx E File "rknn/base/RKNNlib/converter/convert_onnx.py", line 523,...