tensorboard

问题 Here is what I have tried: tf.reset_default_graph() X = tf.placeholder(tf.float32, [None, n_steps, n_inputs]) y = tf.placeholder(tf.float32, [None,n_outputs]) layers = [tf.contrib.rnn.LSTMCell(num_units=n_neurons, activation=tf.nn.leaky_relu, use_peepholes = True) for layer in range(n_layers)] multi_layer_cell = tf.contrib.rnn.MultiRNNCell(layers) rnn_outputs, states = tf.nn.dynamic_rnn(multi_layer_cell, X, dtype=tf.float32) tf.summary.histogram("outputs", rnn_outputs) tf.summary.image("RNN"

问题 I have a problem here which annoyed me for several days:( I am new to python and tensorflow. When I was practicing tensorflow and tried to use tensorboard, I met this question. I wrote python in PyCharm and also my python version is 3.6. part of my code is: init = tf.global_variables_initializer() sess = tf.Session() writer = tf.summary.FileWriter("logs/",sess.graph) sess.run(init) then, I go to terminal and write the command: cd /Users/Claire/Library/Preferences/PyCharmCE2018.2/scratches

问题 I made some log files using tensorboard but I can't access them. Using tensorboard or tensorboard --logdir=logs/ on the command prompt gives the following error:- C:\Users\User>tensorboard Traceback (most recent call last): File "C:\Users\User\Anaconda3\Scripts\tensorboard-script.py", line 6, in <module> from tensorboard.main import run_main File "C:\Users\User\Anaconda3\lib\site-packages\tensorboard\main.py", line 40, in <module> from tensorboard import default File "C:\Users\User\Anaconda3

问题 I want to run tensorboard in jupyter using the latest tensorflow 2.0.0a0. With the tensorboard version 1.13.1, and python 3.6. using ... %tensorboard --logdir {logs_base_dir} I get the error : UsageError: Line magic function %tensorboard not found Do you have an idea what the problem could be? It seems that all versions are up to date and the command seems correct too. Thanks 回答1: The extension needs to be loaded first: %load_ext tensorboard.notebook %tensorboard --logdir {logs_base_dir}

问题 I have written an algorithm using tensorflow framework and faced with the problem, that tf.train.Optimizer.compute_gradients(loss) returns zero for all weights. Another problem is if I put batch size larger than about 5, tf.histogram_summary for weights throws an error that some of values are NaN. I cannot provide here a reproducible example, because my code is quite bulky and I am not so good in TF for make it shorter. I will try to paste here some fragments. Main loop: images_ph = tf

问题 Whenever I execute TensorBoard I just get: Starting TensorBoard 54 at http://localhost:6006 (Press CTRL+C to quit) and then nothing happens. Any advice on how to get the graph to show? EDIT: Sorry I meant to clarify that I copy and paste "http://localhost:6006" into my browser and "No scalar data was found" appears. FIXED: I was not typing the correct log directory. For anyone in the future who has this problem, don't be like me and assume that TensorBoard automatically reads through the /tmp

问题 Hello guys, since I moved to TF 1.0 (with GPU) I haven't been able to get graph results from Tensorboard. I was trying to plot old event files (that TF 0.10 produced and I could see in older versions) and I didn't get anything. I made a simple code in the new version and still have the same problem. In version 0.10 I was working with Mozilla Firefox and the results were shown. Someone in a group said that Chrome could solve the problem, but I cannot see absolutely anything there. If someone

问题 Well, I am so tired of trying to install Tensorflow in Anaconda , I have installed anaconda successfully, but when I am going to install form this link, Anaconda installation on Step 4, I am seeing some exception. I have executed this line of command pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.0.0-cp35-cp35m-win_x86_64.whl However it's terminating showing a red single line exception. Later I have searched for some solution on

问题 I would like to know how to extract the same performance results from the events file of the output of a model as does Tensorboard : specifically the Precision, Recall, and Loss numbers are most of interest. Here is a subset of them displayed on Tensorboard given the model checkpoint directory: I'm not sure if there self-documenting information or other metadata available for these models. This one in particular is the Faster RNN Inception : but are these outputs tied to a particular model or

问题 First of all, I already know how to manually add float or image summaries . I can construct a tf.Summary protobuf manually. But what about text summaries? I look at the definition for summary protobuf here, but I don't find a "string" value option there. 回答1: TensorBoard's text plugin offers a pb method that lets you create text summaries outside of a TensorFlow environment. https://github.com/tensorflow/tensorboard/blob/master/tensorboard/plugins/text/summary.py#L74 Example usage: import