forked from mindspore-Ecosystem/mindspore
cell init performance opt
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@ -16,6 +16,7 @@
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import inspect
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import time
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import gc
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import os
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from collections import OrderedDict
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import numpy
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from mindspore import log as logger
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@ -73,8 +74,11 @@ class Cell:
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self._parameter_layout_dict = {}
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self._create_time = int(time.time() * 1e9)
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init_backend()
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# call gc to release GE session resources used by non-used cell objects
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if os.getenv('GC_COLLECT_IN_CELL') == '1':
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gc.collect()
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self._construct_inputs_num = 0
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self._construct_inputs_names = []
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self._auto_parallel_mode = False
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@ -35,10 +35,10 @@ class Net_Pool(nn.Cell):
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class Net_Pool2(nn.Cell):
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def __init__(self):
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super(Net_Pool2, self).__init__()
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self.maxpool_fun = nn.MaxPool2d(kernel_size=3, stride=2, pad_mode="SAME")
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self.maxpool_fun2 = nn.MaxPool2d(kernel_size=3, stride=2, pad_mode="SAME")
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def construct(self, x):
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return self.maxpool_fun(x)
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return self.maxpool_fun2(x)
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@pytest.mark.level0
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@ -29,6 +29,7 @@ cd ${BUILD_PATH}/mindspore/tests/ut/cpp
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export LD_LIBRARY_PATH=${BUILD_PATH}/mindspore/googletest/googlemock/gtest:${PROJECT_PATH}/mindspore:${PROJECT_PATH}/mindspore/lib:$LD_LIBRARY_PATH
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export PYTHONPATH=${PROJECT_PATH}/tests/ut/cpp/python_input:$PYTHONPATH:${PROJECT_PATH}
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export GLOG_v=2
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export GC_COLLECT_IN_CELL=1
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## prepare data for dataset & mindrecord
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cp -fr $PROJECT_PATH/tests/ut/data ${PROJECT_PATH}/build/mindspore/tests/ut/cpp/
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@ -27,6 +27,7 @@ fi
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export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:${BUILD_PATH}/third_party/gtest/lib
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export PYTHONPATH=$PYTHONPATH:${PROJECT_PATH}:${PROJECT_PATH}/tests/ut/cpp/python_input:${PROJECT_PATH}/tests/ut/python
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echo "export PYTHONPATH=$PYTHONPATH"
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export GC_COLLECT_IN_CELL=1
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if [ $# -eq 1 ] && ([ "$1" == "stage1" ] || [ "$1" == "stage2" ] || [ "$1" == "stage3" ]); then
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if [ $1 == "stage1" ]; then
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