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Function inputs

examples/cifar10_adaptive_batchsize.py:211–259  ·  view source on GitHub ↗

Construct input for CIFAR evaluation using the Reader ops. Args: eval_data: bool, indicating if one should use the train or eval data set. data_dir: Path to the CIFAR-10 data directory. batch_size: Number of images per batch. Returns: images: Images. 4D tensor of [batch_size, IMA

(eval_data, data_dir=DATA_DIR, batch_size=128)

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Callers

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Calls 2

read_cifar10Function · 0.85

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