tf.exp(x, name=None) Computes exponential of x element-wise. \(y = e^x\). Args:
tf.cross(a, b, name=None) Compute the pairwise cross product. a and b
tf.cumprod(x, axis=0, exclusive=False, reverse=False, name=None) Compute the cumulative product of the tensor x along
tf.abs(x, name=None) Computes the absolute value of a tensor. Given a tensor of real numbers x
tf.listdiff(x, y, out_idx=None, name=None) Computes the difference between two lists of numbers or strings.
tf.svd(tensor, compute_uv=True, full_matrices=False, name=None) Computes the singular value decompositions of one or more matrices
tf.tan(x, name=None) Computes tan of x element-wise. Args:
tf.neg(x, name=None) Computes numerical negative value element-wise. I.e., (y = -x).
tf.polygamma(a, x, name=None) Compute the polygamma function \(\psi^{(n)}(x)\). The polygamma
tf.cumsum(x, axis=0, exclusive=False, reverse=False, name=None) Compute the cumulative sum of the tensor x along
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