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last fixes to extract_rdcosts
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@ -10,19 +10,19 @@ import time
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logdir = os.path.join("/tmp", "rdcost", "logs")
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ofdir = os.path.join("/tmp", "rdcost", "data")
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n_threads = 8
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home_rel = lambda path: os.path.join(os.environ["HOME"], path)
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# Note that n_kvazaars * len(dest_qps) has to be less than the max number of
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# fd's that a process can have (check it out: ulimit -a, likely 1024)
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smt_threads = 8 # Kinda lazy, but just match this to your cpu
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n_kvz_threads = 4 # How many threads each kvz instance is running?
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n_kvazaars = smt_threads // n_kvz_threads
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kvz_srcdir = lambda path: os.path.join(os.path.dirname(os.path.realpath(__file__)), path)
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dest_qps = tuple(range(51))
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base_qps = tuple(range(12, 43))
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#base_qps = tuple(range(12, 15))
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sequences = ("/opt/test_seqs/hevc-B/*.yuv", "/opt/test_seqs/custom_seqs/*/*.yuv")
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#sequences = ("/opt/test_seqs/custom_seqs/*/*.yuv",)
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dest_qps = tuple(range(51))
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base_qps = tuple(range(12, 43))
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sequences = ("/opt/test_seqs/hevc-B/*.yuv", "/opt/test_seqs/custom_seqs/*/*.yuv")
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kvzargs = [home_rel("kvazaar/src/kvazaar"), "--threads", "1", "--preset=ultrafast", "--fastrd-sampling", "--fast-residual-cost=0"]
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kvzenv = {"LD_LIBRARY_PATH": home_rel("kvazaar/src/.libs/")}
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gzargs = ["gzip"]
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kvzargs = [kvz_srcdir("kvazaar"), "--threads", str(n_kvz_threads), "--preset=ultrafast", "--fastrd-sampling", "--fast-residual-cost=0"]
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kvzenv = {"LD_LIBRARY_PATH": kvz_srcdir(".libs/")}
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class MultiPipeGZOutManager:
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pipe_fn_template = "%02i.txt"
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@ -123,14 +123,7 @@ def run_job(job):
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with MultiPipeGZOutManager(odpath, dest_qps) as pipes_and_outputs:
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gzips = []
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gzip_threads = []
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#for pipe_fn, out_f in pipes_and_outputs.items():
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for pipe_fn, out_fn in pipes_and_outputs.items():
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#my_gzargs = gzargs + ["-c", pipe_fn]
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#gzip = subprocess.Popen(my_gzargs, stdout=out_f)
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#gzips.append(gzip)
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#print(" launched gzip %s" % " ".join(my_gzargs))
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gzip_thread = threading.Thread(target=do_gzip, args=(pipe_fn, out_fn))
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gzip_thread.start()
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gzip_threads.append(gzip_thread)
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@ -149,7 +142,7 @@ def main():
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jobs = combinations(chain(map(glob.glob, sequences)), base_qps)
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joblist = MTSafeIterable(jobs)
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threads = [threading.Thread(target=threadfunc, args=(joblist,)) for _ in range(n_threads)]
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threads = [threading.Thread(target=threadfunc, args=(joblist,)) for _ in range(n_kvazaars)]
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for thread in threads:
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thread.start()
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