def test_memleak():
log.info("test_memleak()")
from pycuda import driver
#use the first device for this test
start_free_memory = None
for i in range(100):
d = driver.Device(0)
context = d.make_context(flags=driver.ctx_flags.SCHED_AUTO
| driver.ctx_flags.MAP_HOST)
if start_free_memory is None:
start_free_memory, _ = driver.mem_get_info()
free_memory, total_memory = driver.mem_get_info()
log.info("%s%% free_memory: %s MB, total_memory: %s MB",
str(i).rjust(3), free_memory / 1024 / 1024,
total_memory / 1024 / 1024)
context.pop()
context.detach()
w = random.randint(16, 128) * 8
h = random.randint(16, 128) * 8
n = random.randint(2, 10)
test_encoder(encoder_module,
options={},
dimensions=[(w, h)],
n_images=n)
d = driver.Device(0)
context = d.make_context(flags=driver.ctx_flags.SCHED_AUTO
| driver.ctx_flags.MAP_HOST)
end_free_memory, _ = driver.mem_get_info()
context.pop()
context.detach()
log.info("memory lost: %s MB",
(start_free_memory - end_free_memory) / 1024 / 1024)
def test_memleak():
log.info("test_memleak()")
from pycuda import driver
#use the first device for this test
start_free_memory = None
for i in range(100):
d = driver.Device(0)
context = d.make_context(flags=driver.ctx_flags.SCHED_AUTO | driver.ctx_flags.MAP_HOST)
if start_free_memory is None:
start_free_memory, _ = driver.mem_get_info()
free_memory, total_memory = driver.mem_get_info()
log.info("%s%% free_memory: %s MB, total_memory: %s MB", str(i).rjust(3), free_memory/1024/1024, total_memory/1024/1024)
context.pop()
context.detach()
w = random.randint(16, 128)*8
h = random.randint(16, 128)*8
n = random.randint(2, 10)
test_encoder(encoder_module, options={}, dimensions=[(w, h)], n_images=n)
d = driver.Device(0)
context = d.make_context(flags=driver.ctx_flags.SCHED_AUTO | driver.ctx_flags.MAP_HOST)
end_free_memory, _ = driver.mem_get_info()
context.pop()
context.detach()
log.info("memory lost: %s MB", (start_free_memory-end_free_memory)/1024/1024)
def test_reconfigure():
def reconfigure_cb(encoder):
frame_no = encoder.get_info().get("frames", 0)
newq = min(100, max(0, (frame_no * 30) % 110))
log.info("reconfigure frame %i: set new quality: %s", frame_no, newq)
encoder.set_encoding_quality(newq)
test_encoder(encoder_module, n_images=5, after_encode_cb=reconfigure_cb)
def test_reconfigure():
def reconfigure_cb(encoder):
frame_no = encoder.get_info().get("frames", 0)
newq = min(100, max(0, (frame_no * 30) % 110))
log.info("reconfigure frame %i: set new quality: %s", frame_no, newq)
encoder.set_encoding_quality(newq)
test_encoder(encoder_module, n_images=5, after_encode_cb=reconfigure_cb)
def test_encode_all_GPUs():
cuda_devices = encoder_module.get_cuda_devices()
log("")
log.info("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}
log("")
log("**********************************")
log("**********************************")
log.info("testing on %s : %s" % (device_id, info))
test_encoder(encoder_module, options, TEST_DIMENSIONS)
log("")
def test_encode_all_GPUs():
cuda_devices = encoder_module.get_cuda_devices()
log("")
log.info("test_parallel_encode() will test one encoder on each of %s sequentially" % cuda_devices)
TEST_DIMENSIONS = [(256, 256)]
for device_id, info in cuda_devices.items():
options = {"cuda_device" : device_id}
log("")
log("**********************************")
log("**********************************")
log.info("testing on %s : %s" % (device_id, info))
test_encoder(encoder_module, options, TEST_DIMENSIONS)
log("")
def test_encode_all_GPUs():
from xpra.codecs.nvenc import encoder as encoder_module #@UnresolvedImport
cuda_devices = encoder_module.get_cuda_devices()
print("")
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("")
print("**********************************")
print("**********************************")
print("testing on %s : %s" % (device_id, info))
test_encoder(encoder_module, options, TEST_DIMENSIONS)
print("")
def test_enc_ffmpeg():
print("test_enc_ffmpeg()")
from xpra.codecs.enc_ffmpeg import encoder #@UnresolvedImport
test_encoder(encoder)
def test_enc_xvid():
print("test_enc_xvid()")
from xpra.codecs.enc_xvid import encoder #@UnresolvedImport
test_encoder(encoder)
test_performance(encoder)
def test_encode_one():
log("")
log("test_nvenc()")
test_encoder(encoder_module)
log("")
def do_test_context_leak():
N = 50
info = threading.current_thread()
for i in range(N):
log.info("%s of %s (%s)", i, N, info)
test_encoder(encoder_module)
def test_encode_one():
log("")
log("test_nvenc()")
test_encoder(encoder_module)
log("")
def do_test_context_leak():
N = 50
info = threading.current_thread()
for i in range(N):
log.info("%s of %s (%s)", i, N, info)
test_encoder(encoder_module)
def test_encode_one():
log("test_encode_one()")
test_encoder(encoder_module)
def test_nvenc():
print("test_nvenc()")
from xpra.codecs.enc_x264 import encoder #@UnresolvedImport
test_encoder(encoder)
def test_encode_one():
log("test_encode_one()")
test_encoder(encoder_module)
def test_enc_xvid():
print("test_enc_xvid()")
from xpra.codecs.xvid import encoder #@UnresolvedImport
test_encoder(encoder)
test_performance(encoder)
def test_encode_one():
from xpra.codecs.nvenc import encoder as encoder_module #@UnresolvedImport
print("")
print("test_nvenc()")
test_encoder(encoder_module)
print("")