⬆️ Bump cuda driver from 390.46 to 410.73

The Kahutea HPC server I've been using has just updated its CUDA drivers to version 410.79, so I'm matching that (almost). Note that we are sticking to cudatoolkit 9.0 instead of 10.0 and cudnn 7.1.2 instead of 7.2.1 (or higher) as that is what the tensorflow-gpu binaries on pypi are pre-compiled with. It is possible to use an older cudatoolkit on a newer driver (as we are doing now), but not vice versa. I.e. cudatoolkit 9.0 works on a >=410.48 driver, but cudatoolkit 10.0 won't work on a 396.xx version driver. Basically, just get the latest driver!!

Also made a slight adjustment to Dockerfile script. Add the conda-forge/label/dev channel system-wide for consistency.

Dockerfile

@@ -24,7 +24,7 @@ RUN cd /tmp && \
     echo "e1045ee415162f944b6aebfe560b8fee *Miniconda3-${MINICONDA_VERSION}-Linux-x86_64.sh" | md5sum -c - && \
     /bin/bash Miniconda3-${MINICONDA_VERSION}-Linux-x86_64.sh -f -b -p $CONDA_DIR && \
     rm Miniconda3-${MINICONDA_VERSION}-Linux-x86_64.sh && \
-    $CONDA_DIR/bin/conda config --prepend channels conda-forge/label/dev && \
+    $CONDA_DIR/bin/conda config --system --prepend channels conda-forge/label/dev && \
     $CONDA_DIR/bin/conda config --system --prepend channels conda-forge && \
     $CONDA_DIR/bin/conda config --system --set auto_update_conda false && \
     $CONDA_DIR/bin/conda config --system --set show_channel_urls true && \

environment.yml

@@ -5,7 +5,7 @@ channels:
   - nodefaults
 dependencies:
   - defaults::cudnn=7.1.2[md5=4a402b88bb77e6ab2dcf3bfe6522f9cf]
-  - hcc::cuda_driver=390.46[md5=8fb0b6c39a9bf6128b1191db53ed903e]
+  - hcc::cuda_driver=410.73[md5=941787b750b372f4a240287634589d24]
   - defaults::cudatoolkit=9.0[md5=5d0febed868b80a18e74077d5d0f17bc]
   - gmt=6.0.0a17[md5=bea1e9a2cc29280f8ba173123f115496]
   - pip=18.1[md5=d68c7e5109ba0bf4b1cfe60f0f47870a]