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

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

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

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

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

tf.argmax(input, dimension, name=None) Returns the index with the largest value across dimensions of a tensor.

tf.square(x, name=None) Computes square of x element-wise. I.e., (y = x * x = x^2).

tf.segment_prod(data, segment_ids, name=None) Computes the product along segments of a tensor. Read

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

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