Tensorflow lite中的NNAPI Delegate将共享内存用于图形的输入和输出张量。但是,共享内存池的名称是硬编码的("input_pool"和"otput_pool"): // Create shared memory pool for inputs and outputs.
nn_input_memory_.reset(
new NNMemory(nnapi_, "input_pool", total_input_byte_size));
nn_output_memory_.reset(
n
我正在将一些代码从Python 2迁移到Python 3,并得到了不同的行为。看一看“改变了什么”的清单,我并没有发现任何相关的差异,但我大概错过了一个大的区别。
我已经尽可能地简化了我的代码,以获得这个“最小错误程序”:
def decorator(Type):
""" This is a class decorator. It replaces a class with a subclass which
*should be* equivalent.
The result works on Python 2.7 but not on Pyt
这是我的代码: import speech_recognition as sr
r = sr.Recognizer()
file = sr.AudioFile('E:/music/jack.wav')
with file as source:
audio_file = r.record(source,duration=20)
print(r.recognize_google(source)) 我得到了这个错误: [Running] python -u "e:\Visual studio code\file-1.py"
Traceback (mos