bazel run --config=opt --config=cuda //tensorflow/cc/example:example 会发现在tensorrt的加持下,cpp inference会得到和python相同的加速比,而且比python接口的要快10%-30%。大功告成! 有时间的话,下一篇讲讲如何将tft的bazel cpp project拆分成CMake组织方式。
No MPI support will be enabledforTensorFlow. Please specifyoptimizationflags to use duringcompilationwhen bazel option"--config=opt"is specified[Default is -march=native]: Would you like to interactively configure ./WORKSPACEforAndroid builds?[y/N]: n Not configuring the WORKSPACEforAndroid builds. ...
Preconfigured Bazel build configs. You canuseanyofthe below by adding"--config=<>"toyour build command. See .bazelrcformore details.--config=mkl # Build with MKL support.--config=monolithic # Config for mostly static monolithic build.--config=gdr # Build with GDR support.--config=verbs # ...
生成了model/simple.pb文件 写load_simple_net.cpp文件(代码来源于他人代码,有修改https://gitee.com/liuzc/tensorflow_cpp.git) #include"tensorflow/core/public/session.h"#include"tensorflow/core/platform/env.h"usingnamespacetensorflow;intmain(intargc,char*argv[]) {//Initialize a tensorflow sessionSessi...
Note: Earlier tried to build tensorflow.dll (not tensorflow_cc), for which the compilation and linking was success and tensorflow.dll got generated. But while linking the tensorflow.dll to visual studio cpp project, I got 'unresolved external symbol errors'. It seems the dll generated by this...
for step, (x,y) in enumerate(train_db): # 迭代 Step 数 三、数据集加载与处理实战 #%% import matplotlib from matplotlib import pyplot as plt # Default parameters for plots matplotlib.rcParams['font.size'] = 20 matplotlib.rcParams['figure.titlesize'] = 20 ...
environ['TF_CPP_MIN_LOG_LEVEL'] = '2' # os.listdir:返回该目录下文件名的列表 file_name = os.listdir("./csvdata/") # 拼接路径 filelist = [os.path.join("./csvdata",file) for file in file_name] rad_num_batch,label_batch = csvread(filelist) # 开启会话 with tf.Session() as ...
2018-12-21 09:03:42.470495: F /home/yhj/faster_rcnn_tf/src/faster_rcnn/networks/src/network.cpp:313] Non-OK-status: session.Run(feed_map, {Shape(scope, input)}, &outputs) status: Aborted: Operation received an exception:Status: 5, message: could not create a primitive descriptor iter...
每次在运行tensorflow程序时会出现类似的SEE警告,这是因为tensorflow没有以源码的形式安装,如果不想每次都出现这个警告,处理方法: 在代码中加入下面两句 import os os.environ[‘TF_CPP_MIN_LOG_LEVEL’] = ‘2’(忽略警告) 如果想彻底没有这个警告,需要去官网下载源代码重新安装。
(SEED) # 随机数返回32行2列的矩阵 表示32组 体积和重量 作为输入数据集 X = rdm.rand(32,2) # 从X这个32行2列的矩阵中 取出一行 判断如果和小于1 给Y赋值1 如果和不小于1 给Y赋值0 # 作为输入数据集的标签(正确答案) Y_ = [[int(x0 + x1 < 1)] for (x0, x1) in X] print("X:\n...