代码空间


摘要(Abstract)

Ada,是一种程序设计语言。源于美国军方的一个计划,旨在整合美军事系统中运行着上百种不同的程序设计语言。其命名是为了纪念世界上第一位程序员Ada Lovelace。Ada不仅体现了许多现代软件的开发原理,而且将这些原理付诸实现。同时,Ada语言的使用可大大改善软件系统的清晰性、可靠性、有效性、可维护性。Ada是现有的语言中无与伦比的一种大型通用程序设计语言,它是现代计算机语言的成功代表,集中反映了程序语言研究的成果。Ada的出现,标志着软件工程成功地进入了国家和国际的规模。在一定意义上说,Ada打破了John von Neumann 思维模式的桎梏,连同Ada的支持环境(APSE)一起,形成了新一派的Ada文化。它是迄今为止最复杂、最完备的软件工具。Ada曾是美国国防部指定唯一可用于军用系统开发的语言


主题(Topic)

项目(Project)
BevoLEt/Sentence-Detection jayjaynandy/maximize-representation-gap jollheef/out-of-tree judge2020/Actual-Domain-Prices TypedUseCase/domain-resolver aws-samples/seq2seq-asr-misbehaves wx-component master801/Out-of-Translation spencermountain/out-of-character y2bd/out-of-sorts MrSimsek/out-of-home InfiniteIntel/Out-Of-Body LukeShirnia/out-of-memory out-of-cheese-error/astrochelys 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 shawn-dsilva/nginx-reverse-proxy-gateway unidom-authorization yirami/LMMS-out-of-date out-of-cheese-error/gooseberry out-of-my-mind/RedisAndSession out-of-my-mind/UpdateCssLink theDavidBarton/out-of-the-blue godaddy/out-of-band-cache out-of-cheese-error/mars2020api Jessseee/Fish-Out-of-Water StAC-VEX/Out-of-Control simon04/aur-out-of-date out-of-my-mind/GetHolidays shellyln/out-of-proc-server out-of-cheese-error/quoth 全部项目