I have a code which requires a version of TensorFlow >=2.3. I was wondering if I could install a version with pip in a new virtual python environment or if I should wait for the admin to install it as part of a new module so that it is fully compatible with the hardware capabilities ?
I have a code which requires a version of TensorFlow >=2.3.
We can compile the following versions (cf. Redirecting... ):
version
versionsuffix
toolchain
2.3.1
-Python-3.7.4
foss/2019b, fosscuda/2019b
2.3.1
-Python-3.8.2
foss/2020a, fosscuda/2020a
2.4.1
foss/2020b, fosscuda/2020b
2.4.1
-Python-3.7.4
fosscuda/2019b
I was wondering if I could install a version with pip in a new virtual python environment or if I should wait for the admin to install it as part of a new module so that it is fully compatible with the hardware capabilities ?
Both options are fine, if your code already requires a specific Python virtualenv than I would try also to install TensorFlow there.