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--- tutoriais:conda [2022-09-27 13:14] – created gnann
+++ tutoriais:conda [2024-04-16 19:33] (current) – [Torch] gnann
@@ Line 8: / Line 8: @@
 <code bash>
 # criar um diretório preferencialmente fora da $HOME (e.g. /var/tmp/foo/bar)
+# instalar o ambiente
 conda create -y -p /var/tmp/foo/bar python=3.6
+# pode ser necessário ativar o conda no shell (e.g. bash)
+# nesse caso recomendamos recarregar o .bashrc
+conda init bash
+# acessar o ambiente
+conda activate /var/tmp/foo/bar
+# sair do ambiente
+conda deactivate
 </code>
+===== Tensorflow =====
+<code bash>
+# DISCLAIMER: versão 2.4 !
+conda install tensorflow-gpu numpy=1.23
+</code>
+<code python>
+import tensorflow as tf
+cuda_version = tf.sysconfig.get_build_info()["cuda_version"]
+gpu = tf.test.gpu_device_name()
+print("GPU: "+gpu)
+print("cuda: "+cuda_version)
+</code>
+===== Torch =====
+<code bash>
+# python do sistema
+conda install pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch -c nvidia
+</code>
+<code python>
+import torch
+print("gpu: "+torch.cuda.get_device_name(0))
+print("cuda: "+torch.version.cuda)
+</code>
+https://pytorch.org/get-started/locally/