hello,I don’t understand the mean of the Variabel num_subseqs_pre_example which confused me with the general mean of batch_size. In my opinion, mean of the parameter batch_size is the num of subseq per batch, and I think the Variable num_subseqs_per_example should change as the num_batch, what do you think?@astonzhang
Thanks. Given a set of subseqs, the
num_subseqs_pre_example means a list of subseqs such that
batch_size (e.g., 32) of such examples recover the entire set of subseqs. To make it less confusing, I’ve renamed it as
Hi to the d2l team.
First of all, thanks for the book.
I found and issue when I try to run the instalation of d2l in colab
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. google-colab 1.0.0 requires pandas~=1.1.0; python_version >= "3.0", but you have pandas 1.2.2 which is incompatible. google-colab 1.0.0 requires requests~=2.23.0, but you have requests 2.25.1 which is incompatible. datascience 0.10.6 requires folium==0.2.1, but you have folium 0.8.3 which is incompatible. albumentations 0.1.12 requires imgaug<0.2.7,>=0.2.5, but you have imgaug 0.2.9 which is incompatible. Successfully installed d2l-0.17.1 matplotlib-3.3.3 numpy-1.18.5 pandas-1.2.2 requests-2.25.1 WARNING: The following packages were previously imported in this runtime: [matplotlib,mpl_toolkits,numpy,pandas] You must restart the runtime in order to use newly installed versions.
Please could you help me to solve the issue?
For a quick fix I have executed the following code before calling the d2l API I used the following code:
!pip install pandas !pip install requests !pip install folium !pip install imgaug
and it worked