* add PCI id to device description

* when testing each gpu, add separator in log output
* test only one dimension when testing multiple GPUs

git-svn-id: https://xpra.org/svn/Xpra/trunk@4349 3bb7dfac-3a0b-4e04-842a-767bc560f471

src/tests/xpra/codecs/test_encoder.py

@@ -8,10 +8,10 @@
 from tests.xpra.codecs.test_codec import make_planar_input, make_rgb_input
 from xpra.codecs.image_wrapper import ImageWrapper
 
-DEFAULT_TEST_DIMENSIONS = ((32, 32), (1920, 1080), (512, 512))
+DEFAULT_TEST_DIMENSIONS = [(32, 32), (1920, 1080), (512, 512)]
 
 
-def test_encoder(encoder_module, dimensions=DEFAULT_TEST_DIMENSIONS, options={}):
+def test_encoder(encoder_module, options={}, dimensions=DEFAULT_TEST_DIMENSIONS):
     print("test_encoder(%s, %s)" % (encoder_module, dimensions))
     print("colorspaces=%s" % encoder_module.get_colorspaces())
     for c in encoder_module.get_colorspaces():

src/tests/xpra/codecs/test_nvenc.py

@@ -5,29 +5,35 @@
 # later version. See the file COPYING for details.
 
 from tests.xpra.codecs.test_encoder import test_encoder
-from xpra.codecs.nvenc import encoder, get_cuda_devices #@UnresolvedImport
-
 TEST_DIMENSIONS = ((32, 32), (1920, 1080), (512, 512))
 
 def test_encode():
+    from xpra.codecs.nvenc import encoder   #@UnresolvedImport
     print("test_nvenc()")
     test_encoder(encoder)
 
 def test_parallel_encode():
-    cuda_devices = get_cuda_devices()
+    from xpra.codecs.nvenc import encoder   #@UnresolvedImport
+    cuda_devices = encoder.get_cuda_devices()
     print("test_parallel_encode() will test one encoder on each of %s sequentially" % cuda_devices)
+    TEST_DIMENSIONS = [(32, 32)]
     for device_id, info in cuda_devices.items():
         options = {"cuda_device" : device_id}
-        print("testing on %s" % info)
-        test_encoder(encoder, options)
+        print("")
+        print("**********************************")
+        print("**********************************")
+        print("testing on  %s : %s" % (device_id, info))
+        test_encoder(encoder, options, TEST_DIMENSIONS)
 
 
 def main():
     import logging
     import sys
     logging.root.setLevel(logging.INFO)
     logging.root.addHandler(logging.StreamHandler(sys.stdout))
-    test_encode()
+    print("main()")
+    test_parallel_encode()
+    #test_encode()
 
 
 if __name__ == "__main__":

src/xpra/codecs/nvenc/encoder.pyx

@@ -1085,7 +1085,7 @@ cdef cuda_init_devices():
         raiseCuda(cuDeviceTotalMem(&totalMem, cuDevice), "cuDeviceTotalMem")
         debug("device[%s]=%s (%sMB) - PCI: %s / %s - compute %s.%s (nvenc=%s)",
                 i, gpu_name, int(totalMem/1024/1024), pciBusID, pciDeviceID, SMmajor, SMminor, has_nvenc)
-        devices[i] = str(gpu_name)
+        devices[i] = "%s - PCI: %s / %s" % (gpu_name, pciBusID, pciDeviceID)
         cuDeviceGetAttribute(&multiProcessorCount, CU_DEVICE_ATTRIBUTE_MULTIPROCESSOR_COUNT, cuDevice)
         #log.info("multiProcessorCount=%s", multiProcessorCount)
         #printf("  (%2d) Multiprocessors x (%3d) CUDA Cores/MP:    %d CUDA Cores\n",