摘要(Abstract)
TeX是由著名的计算机科学家Donald E. Knuth(高德纳)发明的排版系统,利用TeX可以很容易地生成高质量的dvi文件,打印输出。利用dvips,dvipdfmx,pdfLaTeX等程序生成pdf,ps文件,LaTeX2html生成html文件。 它在学术界十分流行,特别是数学、物理学、统计学与计算机科学界。TeX被普遍认为是一个很好的 排版工具,特别是在处理复杂的数学公式时。利用诸如是LaTeX等终端软件,TeX就能够排版出精美的文本。通过CTAN上的宏包可以扩展其功能,可以作幻灯片,定义模板。中文支持可以由CCT、CJK、ctex等来完成。
主题(Topic)
项目(Project)
NatGr/annotate_audio
zaharkogan/yass
zkogan/yass
f20180127/Speech-to-text-basic-transcriptor
AnthumChris/fetch-stream-audio
phsultan/real-time-audio-transcription
conema/GA-Server
AnthumChris/opus-stream-decoder
octaviotron/wave-peaks
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
teamable-software/css-chunks-html-webpack-plugin
Mehni/ShipChunks
eihwaz/anvil-region
aimenux/BatchLinqDemo
kevinstuffandthings/termichunk
rookiedk/Chunka-Codes
TomDeneire/chunkhunterweb
SergioLaRosa/splitnjoin
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
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