tf.QueueBase.enqueue(vals, name=None) Enqueues one element to this queue. If the queue is full
virtual Thread* tensorflow::Env::StartThread(const ThreadOptions &thread_options, const string &name, std::function< void()> fn) TF_MUST_USE_RESULT=0
tf.contrib.distributions.Multinomial.log_pmf(value, name='log_pmf') Log probability mass function. Args:
tf.contrib.distributions.MultivariateNormalDiag.pdf(value, name='pdf') Probability density function. Args:
TTypes<T>::Flat tensorflow::Tensor::flat() Return the tensor data as an Eigen::Tensor of the data type and
tf.contrib.util.make_ndarray(tensor) Create a numpy ndarray from a tensor. Create a numpy ndarray
class tf.contrib.bayesflow.stochastic_tensor.BernoulliTensor BernoulliTensor is a StochasticTensor backed
tf.contrib.learn.monitors.StopAtStep.epoch_end(epoch) End epoch. Args:
tensorflow::Thread::Thread()
tf.random_uniform(shape, minval=0, maxval=None, dtype=tf.float32, seed=None, name=None) Outputs random values from a uniform distribution
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