google-colaboratory

问题 I am trying to run (training) my CNN at Google Colab Pro , when I run my code, all is allright, but It does not know the number of steps, so an infinite loop is created. Mounted at /content/drive 2.2.0-rc3 Found 10018 images belonging to 2 classes. Found 1336 images belonging to 2 classes. WARNING:tensorflow:`period` argument is deprecated. Please use `save_freq` to specify the frequency in number of batches seen. Epoch 1/300 8/Unknown - 364s 45s/step - loss: 54.9278 - accuracy: 0.5410 I am

问题 colab offers free TPUs. It's easy to see how many cores are given, but I was wondering if its possible to see how much memory per core? 回答1: As far as I know we don't have an Tensorflow op or similar for accessing memory info, though in XRT we do. In the meantime, would something like the following snippet work? import os from tensorflow.python.profiler import profiler_client tpu_profile_service_address = os.environ['COLAB_TPU_ADDR'].replace('8470', '8466') print(profiler_client.monitor(tpu

问题 This warning has been going on for three weeks now. I would like to know this solution. this warning comes out. 回答1: I believe it means your work isn't using the GPU. GPU and TPU runtimes are valued more than the "None" runtime. Colab only allows for two GPU runtime sessions at a time. None allows for approximatley five. Also they only allow for twelve hours total use, and each session will be cumulative. If you don't need or don't know if you need GPU, I would suggest the None runtime. Colab

问题 This warning has been going on for three weeks now. I would like to know this solution. this warning comes out. 回答1: I believe it means your work isn't using the GPU. GPU and TPU runtimes are valued more than the "None" runtime. Colab only allows for two GPU runtime sessions at a time. None allows for approximatley five. Also they only allow for twelve hours total use, and each session will be cumulative. If you don't need or don't know if you need GPU, I would suggest the None runtime. Colab

问题 This warning has been going on for three weeks now. I would like to know this solution. this warning comes out. 回答1: I believe it means your work isn't using the GPU. GPU and TPU runtimes are valued more than the "None" runtime. Colab only allows for two GPU runtime sessions at a time. None allows for approximatley five. Also they only allow for twelve hours total use, and each session will be cumulative. If you don't need or don't know if you need GPU, I would suggest the None runtime. Colab

问题 I am from other country than US, as mentioned in the FAQ of Google Colab Platform for online experiments. Can I buy pro from here or could any one buy it from any other country? 回答1: If you really want to, you can. If you input a zip in the US it will allow you to buy it, but with TAX. If you choose 03222 or 97222, there will be no tax charged. Beware : This is against the agreement that you will not pretend to be in the US. So, do it at your own risk. They might terminate your subscription

问题 Is there a way to get or compute the URL to a cell in Colab? I know you can click on a link button to get the url, or click on the TOC and get the #scrollTo=J1nFJPC9V1-X part of the URL, but I want a way to generate this. The use case is I search colabs for headlines, and I want to generate a link that opens a colab to that heading. Suppose I know the id for a colab, and I know it has a heading called "Printing arrays". I want to generate a full link that opens it at that cell. Is it possible

问题 Your session crashed for an unknown reason when I run the following cell in Google Colab: from keras import backend as K if 'tensorflow' == K.backend(): import tensorflow as tf from keras.backend.tensorflow_backend import set_session config = tf.ConfigProto() config.gpu_options.allow_growth = True config.gpu_options.visible_device_list = "0" set_session(tf.Session(config=config)) I receive this message since I have uploaded two data sets to google drive. Does anyone know this message and can

问题 I have an R notebook in colab where I want to read a file which is saved in my google drive. I only seem to find python code such as "from google.colab import drive drive.mount('/content/drive')" to mount the drive. However, is there code for R to do this or another alternative? I am really struggling and would very much appreciate the help! 回答1: It seems there is no mechanism as of now to mount google drive in colab notebook with R kernel. Although a workaround can be used to have google

问题 I have an R notebook in colab where I want to read a file which is saved in my google drive. I only seem to find python code such as "from google.colab import drive drive.mount('/content/drive')" to mount the drive. However, is there code for R to do this or another alternative? I am really struggling and would very much appreciate the help! 回答1: It seems there is no mechanism as of now to mount google drive in colab notebook with R kernel. Although a workaround can be used to have google