.gitlab-ci.yml

@@ -113,22 +113,22 @@ latest-python:
       junit: report.xml
 
 # Minimal tests in windows environment
-minimal-windows:
-  stage: test
-  except:
-    variables:
-      - $ENABLE_NIGHTLY_BUILDS
-  tags:
-    - win
-  script:
-    - export NUM_CORES=$(nproc --all)
-    - export MPLBACKEND=Agg
-    - source /cygdrive/c/Users/build/Miniconda3/Scripts/activate
-    - source activate pystencils
-    - pip install git+https://gitlab-ci-token:${CI_JOB_TOKEN}@i10git.cs.fau.de/pycodegen/pystencils.git@master#egg=pystencils
-    - python -c "import numpy"
-    - pip install sympy==1.9
-    - py.test -v -m "not (notebook or longrun)"
+#minimal-windows:
+#  stage: test
+#  except:
+#    variables:
+#      - $ENABLE_NIGHTLY_BUILDS
+#  tags:
+#    - win
+#  script:
+#    - export NUM_CORES=$(nproc --all)
+#    - export MPLBACKEND=Agg
+#    - source /cygdrive/c/Users/build/Miniconda3/Scripts/activate
+#    - source activate pystencils
+#    - pip install git+https://gitlab-ci-token:${CI_JOB_TOKEN}@i10git.cs.fau.de/pycodegen/pystencils.git@master#egg=pystencils
+#    - python -c "import numpy"
+#    - pip install sympy==1.9
+#    - py.test -v -m "not (notebook or longrun)"
 
 minimal-sympy-master:
   stage: test

lbmpy/max_domain_size_info.py

@@ -26,7 +26,6 @@ Examples:
 import warnings
 
 import numpy as np
-import pystencils
 
 # Optional packages cpuinfo, cupy and psutil for hardware queries
 try:
@@ -36,19 +35,8 @@ except ImportError:
 
 try:
     import cupy
-    device = cupy.cuda.Device(pystencils.GPU_DEVICE)
 except ImportError:
     cupy = None
-    device = None
-
-if cupy:
-    try:
-        device = cupy.cuda.Device(pystencils.GPU_DEVICE)
-    except AttributeError:
-        warnings.warn("You are using an old pystencils version. Consider updating it")
-        device = cupy.cuda.Device(0)
-else:
-    device = None
 
 try:
     from psutil import virtual_memory
@@ -125,9 +113,11 @@ def memory_sizes_of_current_machine():
         if 'l3_cache_size' in cpu_info:
             result['L3'] = cpu_info['l3_cache_size']
 
-    if device:
-        size = device.mem_info[1] / (1024 * 1024)
-        result['GPU'] = "{0:.0f} MB".format(size)
+    if cupy:
+        for i in range(cupy.cuda.runtime.getDeviceCount()):
+            device = cupy.cuda.Device(i)
+            size = device.mem_info[1] / (1024 * 1024)
+            result[f'GPU{i}'] = "{0:.0f} MB".format(size)
 
     if virtual_memory:
         mem = virtual_memory()

lbmpy_tests/test_gpu_block_size_limiting.py

@@ -17,5 +17,5 @@ def test_gpu_block_size_limiting():
     kernel = ast.compile()
     assert all(b < too_large for b in limited_block_size['block'])
     bs = [too_large, too_large, too_large]
-    ast.indexing.limit_block_size_by_register_restriction(bs, kernel.num_regs)
+    bs = ast.indexing.limit_block_size_by_register_restriction(bs, kernel.num_regs)
     assert all(b < too_large for b in bs)