Using Cuda: Tensorflow error

0 votes

I do not understand why I get this error while using tensorflow with Cuda:

 Internal: failed initializing StreamExecutor for CUDA device ordinal 0: Internal: failed call to cuCtxCreate: CUDA_ERROR_OUT_OF_MEMORY;

How can I solve this?

Jun 13 in Data Analytics by Sophie may
• 9,850 points
45 views

1 answer to this question.

0 votes

This command will tell you which processes are occupying the memory of your GPU, you have to stop those processes. 

nvidia-smi
answered Jun 13 by Zulaikha
• 870 points

Related Questions In Data Analytics

0 votes
1 answer

Tokenizing text file generates error using word tokenize_words

Hi Bolder, As you are using the delim ...READ MORE

answered Aug 27, 2018 in Data Analytics by Anmol
• 3,620 points
98 views
0 votes
1 answer

Error saying "vector size cannot be NA" when using R with data mining

You can use the removesparseterm function.  Removes sparse ...READ MORE

answered Nov 15, 2018 in Data Analytics by Maverick
• 10,040 points
460 views
0 votes
1 answer
+1 vote
2 answers

how can i count the items in a list?

Syntax :            list. count(value) Code: colors = ['red', 'green', ...READ MORE

answered Jul 6 in Python by Neha
• 330 points

edited Jul 8 by Kalgi 278 views
0 votes
1 answer

Error while importing Tensorflow

Start by uninstalling tensorflow and protobuf and reinstall them. Use ...READ MORE

answered Jun 13 in Data Analytics by Zulaikha
• 870 points
30 views
0 votes
1 answer

Changing variable values using R programming

This should work: df$symbol <- as.character(df$symbol) df$symbol[df$symbol == "ABCD.BO"] ...READ MORE

answered May 27 in Data Analytics by Zulaikha
• 870 points
25 views