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To get the list of available builders, use tfds.list_builders() or look at our catalog. Update of the language files in the test page printing application. 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 . General improvements in the Print Test Page Tool for Windows 10 and 11. 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.More information on using Processing itself is can be found in the environment section of the reference. If you're not familiar with this API, we encourage you to read the official tf.data guide first. Download and open the Processing application. 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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