SenthilKumar Selvaraj senkumartup
senkumartup
/ CIFAR10 Run
Created
May 14, 2018 09:07
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| ### DENSENET Implementation ON CIFAR-10 | |
| #### l = 12, k = 12, Compression = 1.0 | |
| #### TEST ACCURACY: 85.03% | |
| ```python | |
| # https://keras.io/ | |
| #!pip install -q keras | |
| import keras |
senkumartup
/ Open CV Build
Created
May 11, 2018 12:48
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| cmake -D CMAKE_BUILD_TYPE=RELEASE \ | |
| -D CMAKE_INSTALL_PREFIX=/usr/local \ | |
| -D INSTALL_C_EXAMPLES=ON \ | |
| -D INSTALL_PYTHON_EXAMPLES=ON \ | |
| -D WITH_TBB=ON \ | |
| -D WITH_V4L=ON \ | |
| -D WITH_QT=ON \ | |
| -D WITH_OPENGL=ON \ | |
| -D OPENCV_EXTRA_MODULES_PATH=/home/dcml/workspace/opencv_build/opencv_contrib-3.4.1/modules \ | |
| -D BUILD_NEW_PYTHON_SUPPORT=ON \ |
senkumartup
/ TF_GPU_GTX_1060_issue
Created
April 30, 2018 08:15
Tensorflow GPU issue on GeForce GTX 1060 (6GB)
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| Tensorflow GPU issue on GeForce GTX 1060 (6GB) | |
| Note: CUDA and CuDNN got installed automatically when keras-gpu | |
| conda install -c anaconda keras-gpu | |
| Summary | |
| keras-gpu - 2.1.5 | |
| tensorflow-gpu - 1.7.0 | |
| dcml@dcml-MS-7B61:~$ nvcc -V | |
| Cuda compilation tools, release 7.5, V7.5.17 |
senkumartup
/ OOM_on_Y510p_TF_Monitor
Created
April 30, 2018 06:31
Out Of Memory on Y510p - How to monitor Memory allocation with TensorFlow Monitor
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| CIFAR | |
| tinyurl.com/yderp956 | |
| *OOM with CIFAR* | |
| Machine | |
| Y510p with NVIDIA GeForce GT 750M - 2 GB GDDR5 SDRAM | |
| ResourceExhaustedError: OOM when allocating tensor with shape[16,54,32,32] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc | |
| [[Node: batch_normalization_8/FusedBatchNorm = FusedBatchNorm[T=DT_FLOAT, data_format="NHWC", epsilon=0.001, is_training=true, _device="/job:localhost/replica:0/task:0/device:GPU:0"](concatenate_7/concat, batch_normalization_8/gamma/read, batch_normalization_8/beta/read, batch_normalization_1/Const_4, batch_normalization_1/Const_4)]] |