Simplified mathematical variants

In the latest TensorFlow release, batched versions of math operations have been removed. Now the functionality is contained in the non-batched versions. The following are some upgrades suggestions that you need to apply manually:

tf.batch_band_part should be renamed to tf.band_part 
tf.batch_cholesky should be renamed to tf.cholesky
tf.batch_cholesky_solve should be renamed to tf.cholesky_solve
tf.batch_fft should be renamed to tf.fft
tf.batch_fft3d should be renamed to tf.fft3d
tf.batch_ifft should be renamed to tf.ifft
tf.batch_ifft2d should be renamed to tf.ifft2d
tf.batch_ifft3d should be renamed to tf.ifft3d
tf.batch_matmul should be renamed to tf.matmul
tf.batch_matrix_determinant should be renamed to tf.matrix_determinant
tf.batch_matrix_diag should be renamed to tf.matrix_diag
tf.batch_matrix_inverse should be renamed to tf.matrix_inverse
tf.batch_matrix_solve should be renamed to tf.matrix_solve
tf.batch_matrix_solve_ls should be renamed to tf.matrix_solve_ls
tf.batch_matrix_transpose should be renamed to tf.matrix_transpose
tf.batch_matrix_triangular_solve should be renamed to tf.matrix_triangular_solve
tf.batch_self_adjoint_eig should be renamed to tf.self_adjoint_eig
tf.batch_self_adjoint_eigvals should be renamed to tf.self_adjoint_eigvals
tf.batch_set_diag should be renamed to tf.set_diag
tf.batch_svd should be renamed to tf.svd
tf.complex_abs should be renamed to tf.abs
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