未验证 提交 a9fdbbf6 编写于 作者: W wangguanzhong 提交者: GitHub

fix ext_op (#714)

上级 a65bf31e
......@@ -59,12 +59,9 @@ export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:`python -c 'import paddle; print(paddle.
执行下列单测,确保自定义算子可在网络中正确使用:
```
# 回到 ext_op 目录,添加 PYTHONPATH
# 回到 ext_op 目录,运行单测
cd ..
export PYTHONPATH=$PYTHONPATH:`pwd`
# 运行单测
python test/test_corner_op.py
python test/test_corner_pool.py
```
单测运行成功会输出提示信息,如下所示:
......
......@@ -17,7 +17,14 @@ from __future__ import print_function
import unittest
import numpy as np
import paddle.fluid as fluid
import cornerpool_lib
import os
import sys
# add python path of PadleDetection to sys.path
parent_path = os.path.abspath(os.path.join(__file__, *(['..'] * 4)))
if parent_path not in sys.path:
sys.path.append(parent_path)
from ppdet.ext_op import cornerpool_lib
def bottom_pool_np(x):
......@@ -83,11 +90,7 @@ class TestRightPoolOp(unittest.TestCase):
place = fluid.CUDAPlace(0)
with fluid.program_guard(tp, sp):
x = fluid.data(
name=self.name,
shape=x_shape,
dtype=x_type,
append_batch_size=False)
x = fluid.data(name=self.name, shape=x_shape, dtype=x_type)
y = self.func_map[self.name][0](x)
np.random.seed(0)
......
......@@ -243,11 +243,6 @@ class CornerHead(object):
ae_threshold=1,
num_dets=1000,
top_k=100):
try:
import cornerpool_lib
except:
logger.error(
"cornerpool_lib not found, compile in ppdet/ext_op at first")
self.train_batch_size = train_batch_size
self.test_batch_size = test_batch_size
self.num_classes = num_classes
......@@ -279,6 +274,11 @@ class CornerHead(object):
return conv1
def get_output(self, input):
try:
from ppdet.ext_op import cornerpool_lib
except:
logger.error(
"cornerpool_lib not found, compile in ppdet/ext_op at first")
for ind in range(self.stack):
cnv = input[ind]
tl_modules = corner_pool(
......@@ -455,6 +455,11 @@ class CornerHead(object):
return {'loss': loss}
def get_prediction(self, input):
try:
from ppdet.ext_op import cornerpool_lib
except:
logger.error(
"cornerpool_lib not found, compile in ppdet/ext_op at first")
ind = self.stack - 1
tl_modules = corner_pool(
input,
......
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