Thanks, Moaz! Could you update the cwiki website directly? Sent from my iPhone
> On 5 Jun 2019, at 7:16 PM, Moaz Reyad (JIRA) <j...@apache.org> wrote: > > > [ > https://issues.apache.org/jira/browse/SINGA-445?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel > ] > > Moaz Reyad updated SINGA-445: > ----------------------------- > Comment: was deleted > > (was: I think the [Three most important unfinished issues to address before > graduating > |https://cwiki.apache.org/confluence/display/INCUBATOR/June2019#three-most-important-unfinished-issues-to-address-before-graduating-18] > section should contain issues related to graduating from the incubator and > not general issues like website update and rafiki integration. These general > issues do not block the graduation and they are independent from the > graduation tasks. > > The most important issues to address before graduation (in my opinion) are: > 1. [Choosing the project PMC > chair|https://lists.apache.org/thread.html/ce3c626d22ecf520d73cd5add269cf1993f1d253dd6f6ce13446d44b@%3Cprivate.singa.apache.org%3E]. > 2. Finalize the [Graduation > Resolution|https://cwiki.apache.org/confluence/display/SINGA/Graduation+Resolution]. > Missing parts are marked in red. > 3. > [Discuss|https://lists.apache.org/thread.html/dc37e2c7614f0f7f0f91d0451ddeff1d253b1d05bfeb3c4797fefa0e@%3Cdev.singa.apache.org%3E] > and Vote with mentors and team members on the mail list if there is any > other missing issue before graduation.) > >> can not run Singa module example >> -------------------------------- >> >> Key: SINGA-445 >> URL: https://issues.apache.org/jira/browse/SINGA-445 >> Project: Singa >> Issue Type: Bug >> Components: Documentation >> Environment: - Ubuntu 18.10 >> - python 3.6 >> Reporter: thao p nguyen >> Priority: Critical >> >> Following the latest Singa documentation's examples on running modules, >> below error was found for running module Metric: >>>>> from singa import tensor >>>>> from singa import metric >>>>> x = tensor.Tensor((3, 5)) >>>>> x.uniform(0, 1) # randomly generate the prediction activation >>>>> x = tensor.SoftMax # normalize the prediction into probabilities >> Traceback (most recent call last): >> File "<stdin>", line 1, in <module> >> AttributeError: module 'singa.tensor' has no attribute 'SoftMax' >>>>> y = tensor.from_numpy(np.array([0, 1, 3], dtype=np.int)) # set the truth >> Traceback (most recent call last): >> File "<stdin>", line 1, in <module> >> NameError: name 'np' is not defined >>>>> >>>>> f = metric.Accuracy() >>>>> acc = f.evaluate(x, y) # averaged accuracy over all 3 samples in x >> > > > > -- > This message was sent by Atlassian JIRA > (v7.6.3#76005)
