I have a plan to use distributed TensorFlow, and I saw TensorFlow can use GPUs for training and testing. In a cluster environment, each machine could have 0 or 1 or more GPUs, and I want to run my TensorFlow graph into GPUs on as many machines as possible.
I’m taking some university classes and have been given an ‘instructional account’, which is a school account I can ssh into to do work. I want to run my computationally intensive Numpy, matplotlib, scipy code on that machine, but I cannot install these modules because I am not a system administrator.
How to plot multiple bars in matplotlib, when I tried to call the bar function multiple times, they overlap and as seen the below figure the highest value red can be seen only.
How can I plot the multiple bars with dates on the x-axes?
I found this in the Python documentation for File Objects:
randrange(start, stop) only takes integer arguments. So how would I get a random number between two float values?
Is there a simple way of testing if the generator has no items, like peek, hasNext, isEmpty, something along those lines?
I am trying to pass in a JSON file and convert the data into a dictionary.
frozendict(dict_obj): Accepts obj of dict type and returns a hashable and immutable dict
I see at many places the use of slice assignment for lists. I am able to understand its use when used with (non-default) indices, but I am not able to understand its use like:
Is it possible to modify code below to have printout from ‘stdout ‘and ‘stderr’: