When I run sess.run(train_step, feed_dict={x: batch_xs, y_: batch_ys}) I get InternalError: Blas SGEMM launch failed. Here is the full error and st
For me, I got this error when using Keras, and Tensorflow was the the backend. It was because the deep learning environment in Anaconda was not activated properly, as a result, Tensorflow didn't kick in properly either. I noticed this since the last time I activated my deep learning environment (which is called dl), the prompt changed in my Anaconda Prompt to this:
(dl) C:\Users\georg\Anaconda3\envs\dl\etc\conda\activate.d>set "KERAS_BACKEND=tensorflow"
While it only had the dl before then. Therefore, what I did to get rid of the above error was to close my jupyter notebook and Anaconda prompt, then relaunch, for several times.