Similar to `tf.nn.dropout()`, but fully deterministic. Args: x: A float Tensor on which to apply dropout. keep_prob: A scalar `Tensor` of keep probability. seeds: A Tensor of shape [2]. 2 seeds for deterministic random number generator. noise_shape: A 1-D `Tensor` of type `i
(x, keep_prob, seeds, noise_shape=None, name=None)
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