MKL_VERBOSE=1 KMP_AFFINITY=compact,1,0,granularity=fine The bash output from E5-2697 v4 is: 56000,400000,30, OMP: Warning #181: OMP_PLACES: ignored because KMP_AFFINITY has been defined OMP: Warning #181: OMP_PROC_BIND: ignored because KMP_AFFINITY has been define...
Hi, currently setting MKL_VERBOSE to 1 or 2 causes the MKL library to print out lines such as MKL_VERBOSE DGEMM(N,N,...) 3.52us CNR:OFF Dyn:1
Mkldnn is not opened when I compile paddle. export MKLDNN_VERBOSE=1 and print the log as below ./build/mul_demo --model_dir=mul_model/ --thread_num=3 --num=3 WARNING: Logging before InitGoogleLogging() is written to STDERR I0312 13:12:54.974669 20557 analysis_predictor.cc:135] Pro...
python -c "import tensorflow; print(tensorflow.pywrap_tensorflow.IsMklEnabled())" source activate_tf.sh export MKL Verbose=1
verbose=verbose, header=header) File "C:\programs\WinPython-64bit-3.4.3.1\python-3.4.3.amd64\lib\site-packages\numpy\testing\utils.py", line 665, in assert_array_compare raise AssertionError(msg) AssertionError: Not equal to tolerance rtol=5e-10, atol=0 ...
options.verbosesvm=0; % verbosity of inner svm algorithm 内支持向量机算法的冗余度 options.efficientkernel=0; % use efficient storage of kernels kernelt={'gaussian' 'gaussian' 'poly' 'poly' };%SVM内核参数,这个地方你需要结合SVM理论,他有一个核函数的概念呢,这里是高斯核函数kerneloptionvect={[0....
KMP_AFFINITY=granularity=fine,verbose,compact,1,0 混合精度 NVIDIA Volta和Turing GPU上的Tensor Core和Mixed Precision可以加速cuBERT 。支持混合精度作为存储在fp16中的变量,并在fp32中进行计算。与单精度推理相比,典型的精度误差小于1%,而速度则达到了2倍以上的加速度。
KMP_AFFINITY=granularity=fine,verbose,compact,1,0 混合精度 NVIDIA Volta和Turing GPU上的Tensor Core和Mixed Precision可以加速cuBERT 。支持混合精度作为存储在fp16中的变量,并在fp32中进行计算。与单精度推理相比,典型的精度误差小于1%,而速度则达到了2倍以上的加速度。
MKL_VERBOSE DAXPY(18624,0x7ffee8f6af58,0x965e2a0,1,0x95f6810,1) 248.35ms CNR:OFF Dyn:1 FastMM:1 TID:0 NThr:1Intel MKL FATAL ERROR: Cannot load symbol MKLMPI_Get_wrappers. Additionally, I noticed the following during the PETSc compilation pro...
MKL_VERBOSE DAXPY(18624,0x7ffee8f6af58,0x965e2a0,1,0x95f6810,1) 248.35ms CNR:OFF Dyn:1 FastMM:1 TID:0 NThr:1Intel MKL FATAL ERROR: Cannot load symbol MKLMPI_Get_wrappers. Additionally, I noticed the following during the PETSc compilation process: mkl_c...