def test_parallel_encode():
cuda_devices = init_all_devices()
ec = getattr(encoder_module, "Encoder")
encoding = encoder_module.get_encodings()[0]
log("")
log.info(
"test_parallel_encode() will test one %s encoder using %s encoding on each of %s in parallel",
ec, encoding, cuda_devices)
w, h = 1280, 720
IMAGE_COUNT = 40
ENCODER_CONTEXTS_PER_DEVICE = 10
src_format = encoder_module.get_input_colorspaces()[0]
dst_formats = encoder_module.get_output_colorspaces(encoding, src_format)
log("generating %s images..." % IMAGE_COUNT)
images = []
for _ in range(IMAGE_COUNT):
images += gen_src_images(src_format, w, h, 1)
log("%s images generated", IMAGE_COUNT)
encoders = []
for device_id in cuda_devices:
device_info = get_device_info(device_id)
options = {"cuda_device": device_id}
for i in range(ENCODER_CONTEXTS_PER_DEVICE):
e = ec()
e.init_context(w, h, src_format, dst_formats, encoding, 0, 100,
None, options)
log("encoder %s for device %s initialized", i, device_id)
info = "%s / encoder %s" % (device_info, i)
encoders.append((info, e, images))
log("%s encoders initialized: %s", len(encoders), [e[1] for e in encoders])
threads = []
i = 0
for info, encoder, images in encoders:
name = "Context %s : %s" % (i, info)
thread = threading.Thread(target=encoding_thread,
name=name,
args=(encoder, src_format, w, h, images,
name))
threads.append(thread)
i += 1
log("%s threads created: %s", len(threads), threads)
log("starting all threads")
log("")
for thread in threads:
thread.start()
log("%s threads started - waiting for completion", len(threads))
for thread in threads:
thread.join()
log("all threads ended")
for _, encoder, _ in encoders:
encoder.clean()
log("")
def test_parallel_encode():
cuda_devices = encoder_module.get_cuda_devices()
ec = getattr(encoder_module, "Encoder")
encoding = encoder_module.get_encodings()[0]
log("")
log("test_parallel_encode() will test one %s encoder using %s encoding on each of %s in parallel"
% (ec, encoding, cuda_devices))
w, h = 1920, 1080
IMAGE_COUNT = 20
ENCODER_CONTEXTS_PER_DEVICE = 4
src_format = encoder_module.get_colorspaces()[0]
log("generating %s images..." % IMAGE_COUNT)
images = []
for _ in range(IMAGE_COUNT):
images += gen_src_images(src_format, w, h, 1)
sys.stdout.write(".")
sys.stdout.flush()
log("%s images generated" % IMAGE_COUNT)
encoders = []
for device_id, device_info in cuda_devices.items():
options = {"cuda_device": device_id}
for i in range(ENCODER_CONTEXTS_PER_DEVICE):
e = ec()
e.init_context(w, h, src_format, encoding, 20, 0, options)
log("encoder %s for device %s initialized" % (i, device_id))
info = "%s / encoder %s" % (device_info, i)
encoders.append((info, e, images))
log("%s encoders initialized: %s" %
(len(encoders), [e[1] for e in encoders]))
threads = []
i = 0
for info, encoder, images in encoders:
name = "Card %s : %s" % (i, info)
thread = threading.Thread(target=encoding_thread,
name=name,
args=(encoder, src_format, w, h, images,
name))
threads.append(thread)
i += 1
log("%s threads created: %s" % (len(threads), threads))
log("starting all threads")
log("")
for thread in threads:
thread.start()
log("%s threads started - waiting for completion" % len(threads))
for thread in threads:
thread.join()
log("all threads ended")
for _, encoder, _ in encoders:
encoder.clean()
log("")
def test_parallel_encode():
from xpra.codecs.nvenc import encoder as encoder_module #@UnresolvedImport
cuda_devices = encoder_module.get_cuda_devices()
ec = getattr(encoder_module, "Encoder")
encoding = encoder_module.get_encodings()[0]
print("")
print("test_parallel_encode() will test one %s encoder using %s encoding on each of %s in parallel" % (ec, encoding, cuda_devices))
w, h = 1920, 1080
IMAGE_COUNT = 20
ENCODER_CONTEXTS_PER_DEVICE = 4
src_format = encoder_module.get_colorspaces()[0]
print("generating %s images..." % IMAGE_COUNT)
images = []
for _ in range(IMAGE_COUNT):
images += gen_src_images(src_format, w, h, 1)
sys.stdout.write(".")
sys.stdout.flush()
print("%s images generated" % IMAGE_COUNT)
encoders = []
for device_id, device_info in cuda_devices.items():
options = {"cuda_device" : device_id}
for i in range(ENCODER_CONTEXTS_PER_DEVICE):
e = ec()
e.init_context(w, h, src_format, encoding, 20, 0, options)
print("encoder %s for device %s initialized" % (i, device_id))
info = "%s / encoder %s" % (device_info, i)
encoders.append((info, e, images))
print("%s encoders initialized: %s" % (len(encoders), [e[1] for e in encoders]))
threads = []
i = 0
for info, encoder, images in encoders:
name = "Card %s : %s" % (i, info)
thread = threading.Thread(target=encoding_thread, name=name, args=(encoder, src_format, w, h, images, name))
threads.append(thread)
i += 1
print("%s threads created: %s" % (len(threads), threads))
print("starting all threads")
print("")
for thread in threads:
thread.start()
print("%s threads started - waiting for completion" % len(threads))
for thread in threads:
thread.join()
print("all threads ended")
for _, encoder, _ in encoders:
encoder.clean()
print("")
def test_parallel_encode():
cuda_devices = init_all_devices()
ec = getattr(encoder_module, "Encoder")
encoding = encoder_module.get_encodings()[0]
log("")
log.info("test_parallel_encode() will test one %s encoder using %s encoding on each of %s in parallel", ec, encoding, cuda_devices)
w, h = 1280, 720
IMAGE_COUNT = 40
ENCODER_CONTEXTS_PER_DEVICE = 10
src_format = encoder_module.get_input_colorspaces()[0]
dst_formats = encoder_module.get_output_colorspaces(encoding, src_format)
log("generating %s images..." % IMAGE_COUNT)
images = []
for _ in range(IMAGE_COUNT):
images += gen_src_images(src_format, w, h, 1)
log("%s images generated", IMAGE_COUNT)
encoders = []
for device_id in cuda_devices:
device_info = get_device_info(device_id)
options = {"cuda_device" : device_id}
for i in range(ENCODER_CONTEXTS_PER_DEVICE):
e = ec()
e.init_context(w, h, src_format, dst_formats, encoding, 0, 100, None, options)
log("encoder %s for device %s initialized", i, device_id)
info = "%s / encoder %s" % (device_info, i)
encoders.append((info, e, images))
log("%s encoders initialized: %s", len(encoders), [e[1] for e in encoders])
threads = []
i = 0
for info, encoder, images in encoders:
name = "Context %s : %s" % (i, info)
thread = threading.Thread(target=encoding_thread, name=name, args=(encoder, src_format, w, h, images, name))
threads.append(thread)
i += 1
log("%s threads created: %s", len(threads), threads)
log("starting all threads")
log("")
for thread in threads:
thread.start()
log("%s threads started - waiting for completion", len(threads))
for thread in threads:
thread.join()
log("all threads ended")
for _, encoder, _ in encoders:
encoder.clean()
log("")
