google-colaboratory

How to Clear Python Output Programatically in Google Colaboratory?

由 北城余情 提交于 2019-12-07 10:51:29
问题 This question is specific to Google Colaboratory, while some solutions may work in a normal Python interperter, Google Colaboratory does not seem to allow me to programatically clear the Python interpreter output. Solutions that I have already tried that do not work: import os os.system('cls') os.system('clear') !cls !clear 回答1: from IPython.display import clear_output clear_output() This is useful to me. 回答2: This snippet will halt the current Python runtime and reconnect to a fresh one.

How to use Tensorboard in Colaboratory

由 岁酱吖の 提交于 2019-12-07 10:26:28
问题 Is it possible to use Tensorboard in Colaboratory. Running tensorboard locally shows rich information about model behaviour like loss etc..is it possible get same information when working with Colaboratory(https://colab.research.google.com). 回答1: You have two options you can use one of the python programs that allows you to tunnel to the machine instance that is hosting your python app. I tested this one: https://github.com/taomanwai/tensorboardcolab !pip install -U tensorboardcolab from

The new Form feature in Google Colaboratory

由 你。 提交于 2019-12-07 04:48:24
问题 Can someone explain or give a notebook example how to use the new Form feature? It looks really exciting, but I cannot find any example or even an announcement anywhere. 回答1: Now there is an official example here: https://colab.research.google.com/notebooks/forms.ipynb 回答2: Exciting feature indeed. It seems we can use checkboxes and date fields: boolean_checkbox = True #@param {type:"boolean"} date_input = '2018-03-22' #@param {type:"date"} but I would really love to be able to construct

Keras TPU. Compilation failure: Detected unsupported operations

由 风流意气都作罢 提交于 2019-12-07 04:41:03
问题 I try to run my keras UNet model using Google Colab TPU and I faced this problem with UpSampling2D . Any solutions or workaround? Code to run: import os import numpy as np import tensorflow as tf from tensorflow.keras.models import Sequential from tensorflow.keras.layers import UpSampling2D model = Sequential() model.add(UpSampling2D((2, 2), input_shape=(16, 16, 1))) model.compile(optimizer=tf.train.RMSPropOptimizer(learning_rate=0.01), loss='binary_crossentropy', metrics=['acc']) TPU_WORKER

ImportError: No module named object_detection.builders in colab google

由 被刻印的时光 ゝ 提交于 2019-12-06 16:01:39
I have this error when i run %cd !git clone --quiet https://github.com/tensorflow/models.git !apt-get install -qq protobuf-compiler python-tk !pip install -q Cython contextlib2 pillow lxml matplotlib PyDrive !pip install -q pycocotools %cd ~/models/research !protoc object_detection/protos/*.proto --python_out=. import os os.environ['PYTHONPATH'] += ':/content/models/research/:/content/models/research/slim/' !python object_detection/builders/model_builder_test.py I got this /root/models/research Traceback (most recent call last): File "object_detection/builders/model_builder_test.py", line 23,

How can I keep the gpu running for more than 12 hours in google colaboratory?

由 妖精的绣舞 提交于 2019-12-06 15:55:25
I am trying to train a model on google colaboratoy but the problem is that the GPU gets disconnected after 12 hours and hence I am not able to train my model beyond a certain point. Is there a way to keep GPU connected for longer times? 来源： https://stackoverflow.com/questions/49469697/how-can-i-keep-the-gpu-running-for-more-than-12-hours-in-google-colaboratory

May i install caffe or caffe2 on Google Colaboratory?

由 那年仲夏 提交于 2019-12-06 12:04:16
问题 I have try !pip install caffe and !pip install caffe2 , but it is not useful. If ok, how to install caffe or caffe2? What about other framework? Thank you. 回答1: To install Caffe with GPU support try running: !apt install -y caffe-cuda and for the CPU-only version: !apt install -y caffe-cpu 来源： https://stackoverflow.com/questions/48500120/may-i-install-caffe-or-caffe2-on-google-colaboratory

How to run shell script file on ipython at Google Colab

由 不羁岁月 提交于 2019-12-06 09:23:35
问题 I'd like to know how to run a bash sell script file on ipython(jupyter notbook) at Google Colab. I downloded an Deep-learning codes package from github and upload them on my google drive and I mount the goole drive on Google Colab The code package includes'*.py' python codes and 'fn.sh' script file. By executing the script file the python codes can be executed. I tried os.system('fn.sh') and subprocess.call('fn.sh') on the ipython prompt at Google Colab but they doesn't work like below. 1)

Saving Variable state in Colaboratory

由 走远了吗. 提交于 2019-12-06 07:43:14
When I am running a Python Script in Colaboratory , it's running all previous code cell. Is there any way by which previous cell state/output can be saved and I can directly run next cell after returning to the notebook. The outputs of Colab cells shown in your browser are stored in notebook JSON saved to Drive. Those will persist. If you want to save your Python variable state, you'll need to use something like pickle to save to a file and then save that file somewhere outside of the VM. Of course, that's a bit a trouble. One way to make things easier is to use a FUSE filesystem to mount some

Google colab changing directory

由 我只是一个虾纸丫 提交于 2019-12-06 07:14:00
I can't change my directory in Google colab. when I type cd it gives output like this '/content' I tried to change the directory using import os os.chdir("drive") but it shows error No such file or directory: 'drive' . How to get rid of this? Did you create a /drive directory? (By default, one does not exist. You'll need to mount your Drive using a recipe like this one . Otherwise, create a directory first. For example, !mkdir demo %cd demo !pwd will show /content/demo . First, you have to install OCaml Fuse to use this feature on Google Colab, run the following command to install OCaml Fuse :
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