war EAAS NFV

warsawjs-workshop-37 agent 运营 Configuration FPGA PLC CPS 人机接口 调度引擎 Operation 报警通知服务 信息物理系统 DDS ASIC Scheduling engine 数控机床 Fog calculation 网格计算 媒体访问控制 SDN 雾计算 通讯技术 SCADA Mqtt MODBUS pattern integration 现场可编程门阵列 OT HMI grid calculation vPLC BACnet 图模一体化 MAC Akraino TSN CT 5G 特定应用集成电路 组态 openedge 数据分发服务 CNC XOS communication technology EnOcean

everything as a service Network Function Virtualization clr ros2 cmd facade linq.js nullpointerexception doparallel sspi static ndis wlanapi laravel-4 gitblit repository-pattern axis2 network-flow angularjs-service sudo odp.net telnetlib hyper-v windows-services httpurlconnection iis-6 apache-spark simulation google-play-developer-api google-glass bigdata yocto eigen babel babel-loader iis android-service iwa application-shutdown ldap adobe-native-extensions service-locator development-environment nservicebus ioctl android-async-http os.system deferred

warsawjs-workshop warsawjs-workshop-1 warsawjs-workshop-12 warsawjs-workshop-13 warsawjs-workshop-18 warsawjs-workshop-19 warsawjs-workshop-2 warsawjs-workshop-22 warsawjs-workshop-24 warsawjs-workshop-25 warsawjs-workshop-26 warsawjs-workshop-27 warsawjs-workshop-29 warsawjs-workshop-3 warsawjs-workshop-31 warsawjs-workshop-33 warsawjs-workshop-35 warsawjs-workshop-4 warsawjs-workshop-41 warsawjs-workshop-43 warsawjs-workshop-44 warsawjs-workshop-5 warsawjs-workshop-6 warsawjs-workshop-7 warsawjs bootstrap3-37 python-37 python30-37 aerospike-workshop android-workshop angular-workshop arduino-workshop bioinformatics-workshop blockchain-workshop blogdown-workshop bootcamp-workshop car-workshop carpentry-workshop cdf-workshop codingnight-workshop computation-workshop conference-workshop couchbase-workshop cvpr-workshop cypress-workshop d3-workshop data-workshop datastax-workshop development-workshop

piecioshka/warsawjs-workshop-28-pwa piecioshka/warsawjs-workshop-44-netflix lukaszbasaj/manual-javascript UrszulaP/warsawjs-workshop-55-itunes lukaszbasaj/warsawjs-workshop-36-podstawy-javascript britzl/oneroom sollywollyson/Edhesive-AP-Comp-Sci-Term-1 Tym17/RemoteRanch LudumHub/LD37-Artisan Jovvik/M3137year2019 Desulfo/PSD-to-HTML-3 nidup/ludumdare37 maxpostnikov/ludum-dare-37 markusfisch/RobotClash free-creations/rachmaninow-vigil NikolaiVChr/flightgear-saab-ja-37-viggen Dorthu/ld37-one-room asyzruffz/Ludum-Dare-37 k8s-workshop brews/baysplinepy JaniceZhao/Douban-Dushu-Dataset DK22Pac/vice-37 cliwrap/alpine-37 Zeyad-37/UseCases Zeyad-37/RxRedux 37Questions/web test_main() File "cnn_test_auto.py", line 119, in test_main loss,acuracy = test(data_path,generate_test, model_path) File "cnn_test_auto.py", line 76, in test loss, accuracy = my_spatial_model.evaluate_generator(generate_test, steps=test_step) #98需要才能重新确定值的大小 File "D:\python 3.6.4\lib\site-packages\keras\legacy\interfaces.py", line 91, in wrapper return func(*args, **kwargs) File "D:\python 3.6.4\lib\site-packages\keras\engine\training.py", line 1472, in evaluate_generator verbose=verbose) File "D:\python 3.6.4\lib\site-packages\keras\engine\training_generator.py", line 346, in evaluate_generator outs = model.test_on_batch(x, y, sample_weight=sample_weight) File "D:\python 3.6.4\lib\site-packages\keras\engine\training.py", line 1256, in test_on_batch outputs = self.test_function(ins) File "D:\python 3.6.4\lib\site-packages\keras\backend\tensorflow_backend.py", line 2715, in __call__ return self._call(inputs) File "D:\python 3.6.4\lib\site-packages\keras\backend\tensorflow_backend.py", line 2675, in _call fetched = self._callable_fn(*array_vals) File "D:\python 3.6.4\lib\site-packages\tensorflow\python\client\session.py", line 1439, in __call__ run_metadata_ptr) File "D:\python 3.6.4\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 528, in __exit__ c_api.TF_GetCode(self.status.status)) tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with shape[128,64,1,1] and type float on /job :localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc [[{{node block2_sepconv1_1/separable_conv2d}}]] Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. [[{{node metrics_33/acc/Mean_1}}]] Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info." class="topic-tag topic-tag-link"> out-of-GPU-memoery laugengebaeck/BwInf-37-R2 T-N-L-37/live_streams aasu14/Garden-Nerd-Flower-Recognition-Data-Science-Competition 全部项目