Automated coda build on win works for cpu, nvcc compilation is not working yet

Author: spollok

.conda-recipe/bld.bat

@@ -1,19 +1,16 @@
 @echo off
 
-:: Preparation of terminal to find ifort
+:: Preparation of terminal to find ifort and icl
 :: Assuming there is a setvars.bat for Intel OneAPI on Windows
 call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
 
 :: Navigate to wrapper file for python module
 cd %RECIPE_DIR%\..\python\src\magtense\lib
+del /Q /F %RECIPE_DIR%\..\python\src\magtense.egg-info
+del /Q /F %RECIPE_DIR%\..\python\build
+make clean
 make
 
 :: Navigate to distribution script
 cd %RECIPE_DIR%\..\python
 %PYTHON% -m pip install . -vvv --use-deprecated=legacy-resolver --no-deps --ignore-installed --no-cache-dir
-
-:: Clean up
-cd %RECIPE_DIR%\..\python\src\magtense\lib
-make clean
-del /Q /F %RECIPE_DIR%\..\python\src\magtense.egg-info
-del /Q /F %RECIPE_DIR%\..\python\build

.conda-recipe/meta.yaml

@@ -3,6 +3,7 @@
 {% set cuda_version = "cuda12" %}
 {% set cuda_pkg_version = "12.*" %}
 {% set mkl_version = "2023.*" %}
+{% set numpy_version_build = "1.25.2" %}
 
 package:
   name: magtense
@@ -15,11 +16,12 @@ build:
 requirements:
   build:
     - python {{ py_version }}
-    - numpy
+    - numpy =={{ numpy_version_build }}
     - mkl =={{ mkl_version }}
     - mkl-static
     - intel-fortran-rt # [unix]
 {% if cuda_version != 'cpu' %}
+    - cuda-nvcc =={{ cuda_pkg_version }}
     - libcusparse-dev =={{ cuda_pkg_version }}
     - libcublas-dev =={{ cuda_pkg_version }}
     - cuda-cudart-dev =={{ cuda_pkg_version }}

python/README.md

@@ -96,6 +96,11 @@ When the soft tiles differ in their M-H-curves, multiple state function can be c
 
 ## Distribution on [Anaconda](https://anaconda.org/cmt-dtu-energy/magtense)
 
+### Required compilers have to be pre-installed
+
+- [Intel® C++ Compiler](https://www.intel.com/content/www/us/en/developer/articles/tool/oneapi-standalone-components.html#inpage-nav-6-undefined)
+- [Intel® Fortran Compiler](https://www.intel.com/content/www/us/en/developer/articles/tool/oneapi-standalone-components.html#fortran)
+
 ```bash
 conda install -y anaconda-client conda-build
 
@@ -106,7 +111,7 @@ conda config --env --append channels intel
 # On Windows
 # conda config --env --append channels conda-forge
 
-# Version numbers have to be set in advance
+# Version numbers have to be set in advance in pyproject.toml
 cd MagTense/python/
 python scripts/dist_conda.py
 ```

python/pyproject.toml

@@ -14,7 +14,7 @@ where = ["src"]
 
 [project]
 name = "magtense"
-version = "2.2.0"
+version = "2.2.1"
 authors = [
   { name="Stefan Pollok", email="[email protected]" },
 ]

python/src/magtense/lib/Makefile

@@ -29,14 +29,17 @@ PYTHON_MODN = magtensesource
 VPATH = ../../../../source/NumericalIntegration/NumericalIntegration:\
 ../../../../source/TileDemagTensor/TileDemagTensor:\
 ../../../../source/DemagField/DemagField:\
-../../../../source/MagTenseMicroMag
+../../../../source/MagTenseMicroMag:\
+../../../../source/MagTenseFortranCuda/cuda
 
-CU_PATH = ../../../../source/MagTenseFortranCuda/cuda
 CUDA_SOURCE = MagTenseCudaBlas
 CUDA_WRAP_SOURCE = MagTenseCudaBlasICLWrapper
 
+# file names
 CUDA_FILE = $(addsuffix .cu, ${CUDA_SOURCE})
 CUDA_WRAP_FILE = $(addsuffix .cxx, ${CUDA_WRAP_SOURCE})
+
+# object files
 CUDA_OBJECT = $(addsuffix .o, ${CUDA_SOURCE})
 CUDA_WRAP = $(addsuffix .o, ${CUDA_WRAP_SOURCE})
 
@@ -150,7 +153,7 @@ LIBSRC_WRAP_FILES = $(addsuffix .f90, ${LIBSRC_WRAP_SOURCES})
 #=======================================================================
 #                 Relevant suffixes
 #=======================================================================
-.SUFFIXES: .f90
+.SUFFIXES: .f90 .cu .cxx
 
 #=======================================================================
 #
@@ -170,11 +173,11 @@ clean:
 .c.o:
 	${CC} ${CFLAGS} -c $< -o $@
 
-${CUDA_OBJECT}:
-	${CU} ${CUFLAGS} -c ${CU_PATH}/${CUDA_FILE} -o $@
+.cu.o:
+	${CU} ${CUFLAGS} -c $< -o $@
 
-${CUDA_WRAP}:
-	${CPP} ${CPPFLAGS} -c ${CU_PATH}/${CUDA_WRAP_FILE}
+.cxx.o:
+	${CPP} ${CPPFLAGS} -c $< -o $@
 
 ${STATIC_LIB}: ${LIBSRC_OBJECTS} ${CUDA_OBJECT} ${CUDA_WRAP}
 	${LIBTOOL}