![]() ![]() ![]() These can be quickly remedied on a laser printer or inkjet printer. There are also simple dust particles that may be causing the issue. Having this troubleshooting information provided gives you the ability to return them if required. , makes the process of adequately testing and assessing your printer's color attributes simply by quickly identifying any deviations, detecting defective toner or ink/printer cartridges. One essential thing is color and how it is rendered to the printed page. You can quickly start the test page printout via the Print button. is equipped with two test pages and color gradients, allowing you to test the printer colors, regardless of whether it is a color laser printer or a modern inkjet printer. OK is a test page printing tool that allows you to test your printer for errors and efficiency. To get the list of available builders, use tfds.list_builders() or look at our catalog. 09:31:42.312761: E tensorflow/compiler/xla/stream_executor/cuda/cuda_:1518] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registeredĪll dataset builders are subclass of. 09:31:42.312725: E tensorflow/compiler/xla/stream_executor/cuda/cuda_fft.cc:609] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered 09:31:42.312675: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:9342] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered This colab uses tfds-nightly: pip install -q tfds-nightly tensorflow matplotlib import matplotlib.pyplot as plt ![]() pip install tfds-nightly: Released every day, contains the last versions of the datasets.pip install tensorflow-datasets: The stable version, released every few months.If you're not familiar with this API, we encourage you to read the official tf.data guide first. TFDS is a high level wrapper around tf.data. Note: Do not confuse TFDS (this library) with tf.data (TensorFlow API to build efficient data pipelines). It handles downloading and preparing the data deterministically and constructing a tf.data.Dataset (or np.array). TFDS provides a collection of ready-to-use datasets for use with TensorFlow, Jax, and other Machine Learning frameworks. ![]()
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