摘要(Abstract)
嵌入式开发就是指在嵌入式操作系统下进行开发,一般常用的系统有WinCE,ucos,vxworks,linux,android等。另外,用c,c++或汇编开发;用高级处理器,arm7,arm9,arm11,powerpc,mips,mipsel等,或加上操作系统也属于嵌入式的开发。嵌入式系统(Embedded System)是指以应用为中心、以计算机技术为基础,软件硬件可裁剪、适应应用系统对功能、可靠性、成本、体积、功耗严格要求的专用计算机系统。举例来说,大到油田的集散控制系统和工厂流水线,小到家用VCD机或手机,甚至组成普通PC终端设备的键盘、鼠标、硬盘、Modem等均是由嵌入式处理器控制的。
主题(Topic)
项目(Project)
Meatloose/inline-chunks-html-webpack-plugin
sjinks/hwp-inline-runtime-chunk-plugin
Zanderwohl/Chunks
TatianaFlores/chunks
vardecab/chunks
reactgular/chunks
halilozercan/pget
UstymUkhman/vite-plugin-glsl
TomDeneire/chunkhunter
taylor-vann/parsley
tsangwpx/chunksum
alxlu/suppress-chunks-webpack-plugin
ropenscilabs/testrmd
NatGr/annotate_audio
teamable-software/css-chunks-html-webpack-plugin
Mehni/ShipChunks
eihwaz/anvil-region
aimenux/BatchLinqDemo
kevinstuffandthings/termichunk
rookiedk/Chunka-Codes
TomDeneire/chunkhunterweb
SergioLaRosa/splitnjoin
bwanders/dokuwiki-plugin-stratainline
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
SNN01/splitnjoiny
mavericksthinker/NovaInline
faulker/jqInlineEdit
ksky521/inline-webpack-plugin
lmdsp/sleef
Saber2pr/styled
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