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Hi,
I'm observing that the GPU runs out of memory when I call local laplacian filter in a loop. It's reproducible by the following code snippet. When I only enable Mullapudi2016 and disable Manual, I do not observe this issue anymore.
from local_laplacian import local_laplacian
from local_laplacian_Mullapudi2016 import local_laplacian_Mullapudi2016
import halide.imageio
import numpy as np
import sys
import timeit
import halide as hl
def llf(input_path, levels, alpha, beta, output_path):
timing_iterations = 10
print("Reading from %s ..." % input_path)
input_buf_u8 = halide.imageio.imread(input_path)
assert input_buf_u8.dtype == np.uint8
# Convert to uint16 in range [0..1]
input_buf = input_buf_u8.astype(np.uint16) * 257
h = input_buf.shape[1]
w = input_buf.shape[2]
output_buf = np.empty([3, h, w], dtype=input_buf.dtype)
tests = {
"Manual": local_laplacian
# "Mullapudi2016": local_laplacian_Mullapudi2016,
}
for name, fn in tests.items():
print("Running %s... " % name, end="")
t = timeit.Timer(lambda: fn(input_buf, levels, alpha / (levels - 1), beta, output_buf))
avg_time_sec = t.timeit(number=timing_iterations) / timing_iterations
print("time: %fms" % (avg_time_sec * 1e3))
output_buf_u8 = (output_buf // 257).astype(np.uint8)
print("Saving to %s ..." % output_path)
halide.imageio.imwrite(output_path, output_buf_u8)
def main():
input_path = sys.argv[1]
levels = int(sys.argv[2])
alpha = float(sys.argv[3])
beta = float(sys.argv[4])
output_path = sys.argv[5]
for i in range(100):
llf(input_path, levels, alpha, beta, output_path)
print("Success!")
sys.exit(0)
if __name__ == "__main__":
main()
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