"""Numpy implementations of `tf.linalg` functions.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function # Dependency imports import numpy as np import tensorflow as tf from tensorflow_probability.python.internal.backend.numpy.internal import utils from tensorflow_probability.python.internal.backend.numpy.linear_operator import * # pylint: disable=wildcard-import scipy_linalg = utils.try_import('scipy.linalg') __all__ = [ 'band_part', 'cholesky', 'cholesky_solve', 'det', 'diag', 'diag_part', 'eye', 'matmul', 'matrix_transpose', 'norm', 'set_diag', 'triangular_solve', # 'adjoint',
# limitations under the License. # ============================================================================ """Numpy implementations of TensorFlow functions.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function # Dependency imports import numpy as np import tensorflow as tf from tensorflow_probability.python.internal.backend.numpy.internal import utils scipy_special = utils.try_import('scipy.special') __all__ = [ 'abs', 'accumulate_n', 'acos', 'acosh', 'add', 'add_n', 'angle', 'argmax', 'argmin', 'asin', 'asinh', 'atan', 'atan2',