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tf.contrib.layers.dropout

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Returns a dropout op applied to the input.

With probability keep_prob, outputs the input element scaled up by 1 / keep_prob, otherwise outputs 0. The scaling is so that the expected sum is unchanged.

inputs The tensor to pass to the nn.dropout op.
keep_prob A scalar Tensor with the same type as x. The probability that each element is kept.
noise_shape A 1-D Tensor of type int32, representing the shape for randomly generated keep/drop flags.
is_training A bool Tensor indicating whether or not the model is in training mode. If so, dropout is applied and values scaled. Otherwise, inputs is returned.
outputs_collections Collection to add the outputs.
scope Optional scope for name_scope.
seed A Python integer. Used to create random seeds. See tf.compat.v1.set_random_seed for behavior.

A tensor representing the output of the operation.