tf.contrib.distributions.GammaWithSoftplusAlphaBeta.sample_n(n, seed=None, name='sample_n') Generate n samples.
Status tensorflow::PartialTensorShape::MergeWith(const PartialTensorShape &shape, PartialTensorShape *result) const Merges
tf.contrib.distributions.MultivariateNormalCholesky.prob(value, name='prob') Probability density/mass function (depending on
tf.trace(x, name=None) Compute the trace of a tensor x. trace(x) returns
tf.image.decode_png(contents, channels=None, dtype=None, name=None) Decode a PNG-encoded image to a uint8 or uint16 tensor.
tf.contrib.learn.monitors.PrintTensor.epoch_begin(epoch) Begin epoch. Args:
tf.contrib.distributions.Categorical.num_classes Scalar int32 tensor: the number of classes.
tf.contrib.distributions.MultivariateNormalDiag.mean(name='mean') Mean.
tf.contrib.learn.LinearRegressor.set_params(**params) Set the parameters of this estimator. The
class tf.errors.AbortedError The operation was aborted, typically due to a concurrent action. For
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