tf.floordiv(x, y, name=None) Divides x / y elementwise, rounding down for floating point. The

tf.diag_part(input, name=None) Returns the diagonal part of the tensor. This operation returns

tf.ifft(input, name=None) Compute the inverse 1-dimensional discrete Fourier Transform over the inner-most

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

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

tf.mul(x, y, name=None) Returns x * y element-wise. NOTE: Mul supports broadcasting

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

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

tf.self_adjoint_eigvals(tensor, name=None) Computes the eigenvalues of one or more self-adjoint matrices.

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