ENH: example recipes for hybrid CPU/GPU project

examples/cuda/fsl-example_cuda_project_cpu/build.sh

+#!/usr/bin/env bash
+
+export FSLDIR=$PREFIX
+export FSLDEVDIR=$PREFIX
+
+mkdir -p $PREFIX/src/
+cp -r $(pwd) $PREFIX/src/$PKG_NAME
+
+. $FSLDIR/etc/fslconf/fsl-devel.sh
+
+make cpu=1
+make cpu=1 install

examples/cuda/fsl-example_cuda_project_cpu/meta.yaml

+# This is a FSL conda recipe for:              fsl-example_cuda_project_cpu
+# The project git repository is:               https://git.fmrib.ox.ac.uk/fsl/example_cuda_project.git
+# The git repository for this conda recipe is: https://git.fmrib.ox.ac.uk/fsl/conda/fsl-example_cuda_project_cpu.git
+
+# Note that this recipe only builds the CPU components
+# of the example_cuda_project project - the GPU/CUDA
+# components are built by the separate
+# fsl/conda/fsl-exampl_cuda_project_gpu recipe.
+
+{% set name       = 'fsl-example_cuda_project_cpu'                            %}
+{% set version    = '0.0.1'                                                   %}
+{% set repository = 'https://git.fmrib.ox.ac.uk/fsl/example_cuda_project.git' %}
+{% set build      = '0'                                                       %}
+
+package:
+  name:    {{ name }}
+  version: {{ version }}
+
+source:
+  # the FSLCONDA_REPOSITORY and FSLCONDA_REVISION
+  # environment variables can be used to override
+  # the repository/revision for development purposes.
+  git_url: {{ os.environ.get("FSLCONDA_REPOSITORY", repository) }}
+  git_rev: {{ os.environ.get("FSLCONDA_REVISION",   version) }}
+
+build:
+  number: {{ build }}
+  run_exports:
+    strong:
+      - {{ name }}
+
+requirements:
+  host:
+    - fsl-base >=2101.5
+  build:
+    - {{ compiler("cxx") }}
+    - make

examples/cuda/fsl-example_cuda_project_cpu/post-link.sh

+if [ -e ${FSLDIR}/share/fsl/sbin/createFSLWrapper ]; then
+  ${FSLDIR}/share/fsl/sbin/createFSLWrapper example_non_cuda_exe
+fi

examples/cuda/fsl-example_cuda_project_cpu/pre-unlink.sh

+if [ -e ${FSLDIR}/share/fsl/sbin/removeFSLWrapper ]; then
+  ${FSLDIR}/share/fsl/sbin/removeFSLWrapper example_non_cuda_exe
+fi

examples/cuda/fsl-example_cuda_project_gpu/build.sh

+#!/usr/bin/env bash
+
+export FSLDIR=$PREFIX
+export FSLDEVDIR=$PREFIX
+
+mkdir -p $PREFIX/src/
+cp -r $(pwd) $PREFIX/src/$PKG_NAME
+
+. $FSLDIR/etc/fslconf/fsl-devel.sh
+
+make cpu=0 gpu=1
+make cpu=0 gpu=1 install

examples/cuda/fsl-example_cuda_project_gpu/meta.yaml

+# This is a FSL conda recipe for:              fsl-example_cuda_project_gpu
+# The project git repository is:               https://git.fmrib.ox.ac.uk/fsl/example_cuda_project.git
+# The git repository for this conda recipe is: https://git.fmrib.ox.ac.uk/fsl/conda/fsl-example_cuda_project_gpu.git
+
+# Note that this recipe only builds the GPU components
+# of the example_cuda_project project - the CPU
+# components are built by the separate
+# fsl/conda/fsl-exampl_cuda_project_cpu recipe.
+
+{% set name       = 'fsl-example_cuda_project_gpu'                            %}
+{% set version    = '0.0.1'                                                   %}
+{% set repository = 'https://git.fmrib.ox.ac.uk/fsl/example_cuda_project.git' %}
+{% set build      = '0'                                                       %}
+
+package:
+  name:    {{ name }}
+  version: {{ version }}
+
+source:
+  # the FSLCONDA_REPOSITORY and FSLCONDA_REVISION
+  # environment variables can be used to override
+  # the repository/revision for development purposes.
+  git_url: {{ os.environ.get("FSLCONDA_REPOSITORY", repository) }}
+  git_rev: {{ os.environ.get("FSLCONDA_REVISION",   version) }}
+
+
+# The CUDA_VER environment variable must be set when
+# a CUDA project is built. CUDA_VER should contain
+# the major.minor CUDA toolkit version. CUDA_VER is
+# pre-set in the conda-forge and FSL development
+# CUDA build docker images.
+{% set cuda_version = os.environ["CUDA_VER"] %}
+
+build:
+  number: {{ build }}
+  string: h{{ PKG_HASH }}_cuda{{ cuda_version }}_{{ PKG_BUILDNUM }}
+  run_exports:
+    strong:
+      - {{ name }}
+
+requirements:
+  host:
+    - fsl-base >=2101.5
+  build:
+    # Different versions of nvcc need
+    # different versions of gcc
+    {% if   cuda_version in ("9.2", "10.0") %}
+    - {{ compiler("cxx") }} 7.*  # [linux]
+    {% elif cuda_version in ("10.1", "10.2") %}
+    - {{ compiler("cxx") }} 8.*  # [linux]
+    {% elif cuda_version in ("11.0", "11.1") %}
+    - {{ compiler("cxx") }} 9.*  # [linux]
+    {% endif %}
+    - make
+    # The nvcc_linux-64 package is a shim
+    # which will use the system-provided
+    # nvcc, but in a manner that is
+    # integrated with conda.
+    #
+    # on macOS, nvcc and the CUDA toolkit
+    # must be installed externally to conda,
+    # and available in the build environment
+    - nvcc_linux-64 {{ cuda_version }}  # [linux]

examples/cuda/fsl-example_cuda_project_gpu/post-link.sh

+if [ -e ${FSLDIR}/share/fsl/sbin/createFSLWrapper ]; then
+    ${FSLDIR}/share/fsl/sbin/createFSLWrapper example_cuda_exe
+fi

examples/cuda/fsl-example_cuda_project_gpu/pre-unlink.sh

+if [ -e ${FSLDIR}/share/fsl/sbin/removeFSLWrapper ]; then
+    ${FSLDIR}/share/fsl/sbin/removeFSLWrapper example_cuda_exe
+fi