But… doesn’t this only mean we do not have the nvidia-smi monitor utility up and running? The very slow training time from lesson 1 benchmark (my GTX 1070 runs 1 cycle in 1:50 instead of 0:20s-0.30s) maybe happens because we have a .jpeg bottleneck and cannot install pillow-simd instead of pillow, as reported for example from How to install precompiled pillow-simd into conda env ?
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