![]() > writer = tf.train.FileWriter('./my_graph', sess. The interface and behavior is the same this is just a rename. Instructions for updating: Please switch to tf.summary.FileWriter. W tensorflow/core/platform/cpu_feature_:95] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations. tf.train.SummaryWriter is deprecated, instead use tf.summary.FileWriter. W tensorflow/core/platform/cpu_feature_:95] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations. ![]() Type "help", "copyright", "credits" or "license" for more information. Like tf.summary.scalar points, each collection of images is associated with a step and a name. Data appears in TensorBoard's 'Images' dashboard. Writes a collection of images to the current default summary writer. You can also log diagnostic data as images that can be helpful in the course of your model development. tf.summary.image ( name, data, step None, maxoutputs 3, description None ) See also tf.summary.scalar, tf.summary.SummaryWriter. This can be extremely helpful to sample and examine your input data, or to visualize layer weights and generated tensors. Python 2.7.5 (default, Nov 6 2016, 00:28:07) Using the TensorFlow Image Summary API, you can easily log tensors and arbitrary images and view them in TensorBoard. I have also run it in a terminal and I get the same result: ~]$ python > 1 writer = tf.train.FileWriter('./my_graph', aph)ĪttributeError: 'module' object has no attribute 'FileWriter' I have changed SummaryWriter with FileWriter: writer = tf.train.FileWriter('./my_graph', aph)Īnd I get the same error but with FileWriter function: AttributeError Traceback (most recent call last) tf.summary. You can also log diagnostic data as text that can be helpful in the course of your model development. This can be extremely helpful to sample and examine your input data, or to record execution metadata or generated text. I have run these two commands because there is bug issue on Github for the same problem: > import six Creates a summary file writer for the given log directory. Overview Using the TensorFlow Text Summary API, you can easily log arbitrary text and view it in TensorBoard. > 1 writer = tf.train.SummaryWriter('./my_graph', aph)ĪttributeError: 'module' object has no attribute 'SummaryWriter' I get this error: AttributeError Traceback (most recent call last) in () Writer = tf.train.SummaryWriter('./my_graph', aph) ![]() I'm using Tensorflow version 0.12.head with Python 2.7 on a linux CentOS 7 and when I run this: import tensorflow as tf TensorBoard Tutorial Visualize the training parameters, metrics, hyperparameters or any statistics of your neural network with TensorBoard Jun 2018 23 min read This tutorial will guide you on how to use TensorBoard, which is an amazing utility that allows you to visualize data and how it behaves.
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