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摘要(Abstract)

Flutter (移动应用程序开发框架) Flutter是谷歌的移动UI框架,可以快速在iOS和Android上构建高质量的原生用户界面。 Flutter可以与现有的代码一起工作。在全世界,Flutter正在被越来越多的开发者和组织使用,并且Flutter是完全免费、开源的。 它也是构建未来的Google Fuchsia [1] 应用的主要方式Flutter组件采用现代响应式框架构建,这是从React中获得的灵感,中心思想是用组件(widget)构建你的UI。 组件描述了在给定其当前配置和状态时他们显示的样子。当组件状态改变,组件会重构它的描述(description),Flutter会对比之前的描述, 以确定底层渲染树从当前状态转换到下一个状态所需要的最小更改。快速开发 毫秒级的热重载,修改后,您的应用界面会立即更新。使用丰富的、完全可定制的widget在几分钟内构建原生界面。 富有表现力和灵活的UI 快速发布聚焦于原生体验的功能。分层的架构允许您完全自定义,从而实现难以置信的快速渲染和富有表现力、灵活的设计。 原生性能 Flutter包含了许多核心的widget,如滚动、导航、图标和字体等,这些都可以在iOS和Android上达到原生应用一样的性能。


主题(Topic)

项目(Project)
image-size/image-size SebiSebi/DimCache saasify-sh/image-size seep/hashpool XJINE/Unity_SceneViewPixelSizeViwer NikolasGialitsis/External-Sort zhuravljov/yii2-pagination greymd/tmux-adtty kuldeepkeshwar/size-analyzer Aditya715/Image-size-reducer harryscholes/EffectSizes.jl wzshiming/getsize shakirkhan1/social-site-for-college-students 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 source-foundry/font-size hustcc/size-sensor elasticsearch-visual iOS-LinkMapAnalyzer FreeWindowsApp/FreeStatFolder afeiship/slate-plugin-font-size RachalZhou/CCSize im-kulikov/sizefmt namth0712/icon-generator pengbo0054/vision-measuring hazer-hazer/YoctoVM AugustRush/UICollectionView-ARDynamicHeightLayoutCell YIIZ/size-loader pavel-krush/cache atese3/ImageSizeEditor ParsianRoboticLab/Parsian-ETDP 全部项目