我的jupyter笔记本中有一些导入,其中有tensorflow:
ImportError Traceback (most recent call last)
<ipython-input-2-482704985f85> in <module>()
4 import numpy as np
5 import six.moves.copyreg as copyreg
----> 6 import tensorflow as tf
7 from six.moves import cPickle as pickle
8 from six.moves import range
ImportError: No module named tensorflow
我把它放在我的电脑上,在一个特殊的环境和所有连接的东西中:
Requirement already satisfied (use --upgrade to upgrade): tensorflow in /Users/mac/anaconda/envs/tensorflow/lib/python2.7/site-packages
Requirement already satisfied (use --upgrade to upgrade): six>=1.10.0 in /Users/mac/anaconda/envs/tensorflow/lib/python2.7/site-packages (from tensorflow)
Requirement already satisfied (use --upgrade to upgrade): protobuf==3.0.0b2 in /Users/mac/anaconda/envs/tensorflow/lib/python2.7/site-packages (from tensorflow)
Requirement already …当我想在异步发送之后完全释放资源时，MPI_Bsend 好吗？这会不会：
MPI_Bsend(&array[0],...)
delete[] array;
阻止我删除我想发送的内存（问题是，当适当的 recv 开启时，数组可能已经被删除）？
更新：
void RectMPIAngleFiller::setglobalFillerbounds1() {
int_t SIZE = getSolver()->getNumInterpolators() * procnums;
int_t gridnums = getSolver()->getNumGrids();
if (layer == 1) {
if (local_rank == 0) {
MPI_Isend(&rank_size, 1, MPI_INT, 0, gridnum, MPI_COMM_WORLD);
}
} else if (layer == 0) {
int_t fillernumber = getSolver()->getNumInterpolators();
int_t local_fillernum = fillernum % fillernumber;
if (local_rank == 0 && local_fillernum == 0) {
int_t * incomeSizes = new incomeSizes[gridnums];
incomeSizes[gridnum] = getSolver()->getNumInterpolators();
for ( int_t i = 0; …为什么在c ++标准(我看cpp参考站点)中允许两个具有相同签名的变体？
例如:
reference front();
const_reference front() const;
我想设置64位数的全部,部分或无位.但是当我打印位表示时,例如我只设置了53位,我看,所有位都是1.可能是什么问题？
int main() {
uint64_t a = 0;
for (int i = 0; i <= 63; i++)
std::cout<<((a>>i) & 0x01)<<" ";
std::cout<<std::endl;
for (unsigned i = 0; i <= 52; i++)
a |= (1<<i);
for (int i = 0; i <= 63; i++)
std::cout<<((a>>i) & 1)<<" ";
std::cout<<std::endl;
}
编辑:我得到这个输出:
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 …