tf.batch_matmul(x, y, adj_x=None, adj_y=None, name=None) Multiplies slices of two tensors in batches. Multiplies

tf.reduce_mean(input_tensor, reduction_indices=None, keep_dims=False, name=None) Computes the mean of elements across dimensions

tf.digamma(x, name=None) Computes Psi, the derivative of Lgamma (the log of the absolute value of

tf.real(input, name=None) Returns the real part of a complex number. Given a tensor input

tf.reduce_any(input_tensor, reduction_indices=None, keep_dims=False, name=None) Computes the "logical or" of elements across dimensions

tf.div(x, y, name=None) Returns x / y element-wise. NOTE: Div supports broadcasting

tf.lgamma(x, name=None) Computes the log of the absolute value of Gamma(x) element-wise.

tf.sparse_segment_sum(data, indices, segment_ids, name=None) Computes the sum along sparse segments of a tensor.

tf.reduce_sum(input_tensor, reduction_indices=None, keep_dims=False, name=None) Computes the sum of elements across dimensions

tf.rsqrt(x, name=None) Computes reciprocal of square root of x element-wise. I.e., \(y = 1 / \sqrt{x}\)