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fix: change cupy._util.memoize to cupy.memoize #6

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fix: change cupy._util.memoize to cupy.memoize #6

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2 changes: 1 addition & 1 deletion FasterRCNNDetection/model/roi_module.py
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Original file line number Diff line number Diff line change
Expand Up @@ -11,7 +11,7 @@
Stream = namedtuple('Stream', ['ptr'])


@cupy.util.memoize(for_each_device=True)
@cupy.memoize(for_each_device=True)
def load_kernel(kernel_name, code, **kwargs):
cp.cuda.runtime.free(0)
code = Template(code).substitute(**kwargs)
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4 changes: 2 additions & 2 deletions FasterRCNNDetection/model/utils/nms/non_maximum_suppression.py
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Original file line number Diff line number Diff line change
Expand Up @@ -8,12 +8,12 @@
import warnings
warnings.warn('''
the python code for non_maximum_suppression is about 2x slow
It is strongly recommended to build cython code:
It is strongly recommended to build cython code:
`cd model/utils/nms/; python3 build.py build_ext --inplace''')
from ._nms_gpu_post_py import _nms_gpu_post


@cp.util.memoize(for_each_device=True)
@cp.memoize(for_each_device=True)
def _load_kernel(kernel_name, code, options=()):
cp.cuda.runtime.free(0)
assert isinstance(options, tuple)
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