INFO: TfLiteFlexDelegate delegate: 4 nodes delegated out of 21284 nodes with 2 partitions. The input tensor has the following dimensions: [1,-1,-1,3] INFO: Created TensorFlow Lite XNNPACK delegate for CPU. WARNING: Attempting to use a delegate that only supports static-sized tensors with ...
tf.lite.experimental.TensorFlowLiteFlexDelegateOptions() # 创建Flex委托 delegate = tf.lite.experimental.TensorFlowLiteFlexDelegate(delegate_options) # 将Flex委托分配给解释器 interpreter = tf.lite.Interpreter(model_path="your_model.tflite", experimental_delegates=[delegate]) # 分配张量内存 interpreter....
未能应用委托: TfLiteGpuDelegate Init: MUL:预期形状为HxWxC的三维张量或形状为1xHxWxC的4D张量，但...
from tflite_runtime.interpreter import Interpreter, load_delegate import os import platform import subprocess as sp import tempfile import base64 import json from io import BytesIO import torchvision.transforms as T from torchvision import models, transforms相关文章推荐 文心一言接入指南:通过百度智能云千...
tflite v1.0.5 侧重于为特定用途的应用场景提供高级特性,比如图片分类、物体检测等等。而新的 tflite_flutter 则提供了与 Java API 相同的特性和灵活性,而且可以用于任何 tflite 模型中,它还支持 delegate。 由于使用 dart:ffi (dart (ffi) C),tflite_flutter 非常快 (拥有低延时)。而 tflite 使用平台集成...
I can successfully load the mobilenet_v1_1.0_224_quant.tflite model which is part of the label_image example suggesting the vx_delegate setup code is correct. Is there a method for conversion of the YOLO model to an NPU compatible model? I have attempted to do the conversion with eIQ in...
line 152, in load_delegate delegate = Delegate(library, options) File "C:\Program Files\Python38\lib\site-packages\tflite_runtime\interpreter.py", line 111, in __init__ raise ValueError(capture.message) ValueError During handling of the above exception, another...
This package includes only the Interpreter class and load_delegate() function, which is all that's required to run inference, saving you a lot of disk space. Shouldn't this say "You must use the tflite_runtime package. The full Tensorflow lite API is not currently supported"? 👍 2 ...
TFlite依靠谷歌大腿(技术强劲)在端侧和云侧有广泛的应用场景,在移动端推理框架中,Android NNAPI为高层次的构建DL框架提供支持,应用较多的下层有TFLite GPU、Hexagon NN等,TFLite Delegate的推出可以在Hexagon DSP的移动式设备上利用Hexagon NN Direct特性直接提高模型的性能;(Hexagon DSP为美国高通公司开发) Tensorflow...
#include "tensorflow/lite/delegates/nnapi/nnapi_delegate.h" /* 使用 NNAPI */ std::map<std::string, tflite::Interpreter::TfLiteDelegatePtr> delegates; auto delegate = tflite::Interpreter::TfLiteDelegatePtr(tflite::NnApiDelegate(), [](TfLiteDelegate*) {}); delegates.emplace("NNAPI", ...