feat: Update to pyhf v0.7.2

README.md

@@ -15,21 +15,21 @@ These examples assume that you want to use GPU resources to take advantage of ha
 Example:
 
 ```
-docker pull pyhf/cuda:0.7.0-jax-cuda-11.6.0-cudnn8
+docker pull pyhf/cuda:0.7.2-jax-cuda-11.6.0-cudnn8
 ```
 
 ### Local use
 
 To check that NVIDIA GPUS are being properly detected run
 
 ```
-docker run --rm --gpus all pyhf/cuda:0.7.0-jax-cuda-11.6.0-cudnn8 'nvidia-smi'
+docker run --rm --gpus all pyhf/cuda:0.7.2-jax-cuda-11.6.0-cudnn8 'nvidia-smi'
 ```
 
 and check if the [`nvidia-smi`](https://developer.nvidia.com/nvidia-system-management-interface) output appears correctly.
 
 To run (interactively) using GPUs on the host machine:
 
 ```
-docker run --rm -ti --gpus all pyhf/cuda:0.7.0-jax-cuda-11.6.0-cudnn8
+docker run --rm -ti --gpus all pyhf/cuda:0.7.2-jax-cuda-11.6.0-cudnn8
 ```

docker/Dockerfile

@@ -5,7 +5,7 @@ SHELL [ "/bin/bash", "-c" ]
 
 WORKDIR /home/data
 
-ARG PYHF_VERSION=0.7.0
+ARG PYHF_VERSION=0.7.2
 ARG PYHF_BACKEND=jax
 # Set PATH to pickup virtualenv when it is unpacked
 ENV PATH=/usr/local/venv/bin:"${PATH}"

htcondor_templates/chtc_hello_gpu/chtc_hello_gpu.sub

@@ -5,7 +5,7 @@
 universe = docker
 # To avoid Docker Hub rate limits set as "missing" (default value) unless "always" needed for updated tag
 docker_pull_policy = missing
-docker_image = pyhf/cuda:0.7.0-jax-cuda-11.6.0-cudnn8
+docker_image = pyhf/cuda:0.7.2-jax-cuda-11.6.0-cudnn8
 
 # set the log, error and output files
 log = chtc_hello_gpu.log.txt

noxfile.py

@@ -22,7 +22,7 @@ def build(session):
         "nvidia/cuda:11.2.2-devel-ubuntu20.04",
         "nvidia/cuda:11.8.0-cudnn8-devel-ubuntu22.04",
     ]
-    pyhf_version = "0.7.0"
+    pyhf_version = "0.7.2"
     pyhf_backend = "jax"
     for base_image in target_images:
         cuda_version = base_image.split(":")[-1].split("-devel")[0]