Leveraging NVIDIA Downloads

An issue during the installation of TensorFlow in the Anaconda Python environment is an error message citing the lack of a DLL file. Logically, you will also receive the same error for invoking any Spacy language models, which need TensorFlow installed properly.

Thus, running the code below will invoke an error message without the proper dependencies installed:

import spacy
import spacy.attrs
nlp = spacy.load('es_core_news_sm')

The error message below will appear if the NVIDIA GPU Developer kit is not installed:

"W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not found"
"I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine."

The issue is the lack of a GPU developer kit from NVIDIA.

CUDA Toolkit 11.4 Update 1 Downloads | NVIDIA Developer