DirectML: Could not load dynamic library 'libcuda.so.1'

Followed the instructions here

~ » cat /proc/version                                                                                                                                                             1 ↵ jlam@MAKERPC
Linux version 4.4.0-20150-Microsoft (Microsoft@Microsoft.com) (gcc version 5.4.0 (GCC) ) #1000-Microsoft Thu Jun 12 17:34:00 PST 2020

I’m running build 20150, but am getting this error:

Python 3.6.10 |Anaconda, Inc.| (default, May  8 2020, 02:54:21)
[GCC 7.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow.compat.v1 as tf
>>>
>>> tf.enable_eager_execution(tf.ConfigProto(log_device_placement=True))
>>>
>>> print(tf.add([1.0, 2.0], [3.0, 4.0]))
2020-06-17 16:36:05.469811: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory
2020-06-17 16:36:05.469926: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303)
2020-06-17 16:36:05.470029: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (MAKERPC): /proc/driver/nvidia/version does not exist
2020-06-17 16:36:05.470532: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
2020-06-17 16:36:05.483133: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3400000000 Hz
2020-06-17 16:36:05.487879: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7fffe52ac420 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2020-06-17 16:36:05.488038: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
tf.Tensor([4. 6.], shape=(2,), dtype=float32)