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

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

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

tf.log(x, name=None) Computes natural logarithm of x element-wise. I.e., \(y = \log_e x\).

tf.lbeta(x, name='lbeta') Computes ln(|Beta(x)|), reducing along the last dimension. Given

tf.matrix_diag_part(input, name=None) Returns the batched diagonal part of a batched tensor. This

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

tf.reduce_all(input_tensor, reduction_indices=None, keep_dims=False, name=None) Computes the "logical and" of elements across

tf.add(x, y, name=None) Returns x + y element-wise. NOTE: Add supports broadcasting

tf.ifft2d(input, name=None) Compute the inverse 2-dimensional discrete Fourier Transform over the inner-most 2