# Copyright 2018 The TensorFlow Probability Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ============================================================================
"""Numpy implementations of `tf.linalg` functions."""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

# pylint: disable=g-import-not-at-top
# pylint: disable=wildcard-import
from tensorflow_probability.python.internal.backend.numpy.linalg_impl import *

# Don't crash if we can't import bazel-generated numpy versions of TF
# LinearOperators. This allows external developers to run TF tests without
# installing bazel.
try:
  # pylint: disable=unused-import
  from tensorflow_probability.python.internal.backend.numpy.gen import adjoint_registrations as _adjoint_registrations
  from tensorflow_probability.python.internal.backend.numpy.gen import cholesky_registrations as _cholesky_registrations
  from tensorflow_probability.python.internal.backend.numpy.gen import inverse_registrations as _inverse_registrations
  from tensorflow_probability.python.internal.backend.numpy.gen import linear_operator_algebra as _linear_operator_algebra
  from tensorflow_probability.python.internal.backend.numpy.gen import matmul_registrations as _matmul_registrations
  from tensorflow_probability.python.internal.backend.numpy.gen import solve_registrations as _solve_registrations

  from tensorflow_probability.python.internal.backend.numpy.gen.linear_operator import *
  from tensorflow_probability.python.internal.backend.numpy.gen.linear_operator_block_diag import *
  from tensorflow_probability.python.internal.backend.numpy.gen.linear_operator_block_lower_triangular import *
  from tensorflow_probability.python.internal.backend.numpy.gen.linear_operator_circulant import *
  from tensorflow_probability.python.internal.backend.numpy.gen.linear_operator_composition import *
  from tensorflow_probability.python.internal.backend.numpy.gen.linear_operator_diag import *
  from tensorflow_probability.python.internal.backend.numpy.gen.linear_operator_full_matrix import *
  from tensorflow_probability.python.internal.backend.numpy.gen.linear_operator_identity import *
  from tensorflow_probability.python.internal.backend.numpy.gen.linear_operator_kronecker import *
  from tensorflow_probability.python.internal.backend.numpy.gen.linear_operator_low_rank_update import *
  from tensorflow_probability.python.internal.backend.numpy.gen.linear_operator_lower_triangular import *
  from tensorflow_probability.python.internal.backend.numpy.gen.linear_operator_toeplitz import *
  from tensorflow_probability.python.internal.backend.numpy.gen.linear_operator_zeros import *
except ImportError:
  import sys
  # Backend should only fail importing if we're running pytest.
  if 'pytest' not in sys.modules:
    raise

# Copyright 2018 The TensorFlow Probability Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ============================================================================
"""Numpy implementations of `tf.linalg` functions."""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

# pylint: disable=g-import-not-at-top
# pylint: disable=wildcard-import
from tensorflow_probability.python.internal.backend.numpy.linalg_impl import *

# Don't crash if we can't import bazel-generated numpy versions of TF
# LinearOperators. This allows external developers to run TF tests without
# installing bazel.
try:
  # pylint: disable=unused-import
  from tensorflow_probability.python.internal.backend.numpy.gen import adjoint_registrations as _adjoint_registrations
  from tensorflow_probability.python.internal.backend.numpy.gen import cholesky_registrations as _cholesky_registrations
  from tensorflow_probability.python.internal.backend.numpy.gen import inverse_registrations as _inverse_registrations
  from tensorflow_probability.python.internal.backend.numpy.gen import linear_operator_algebra as _linear_operator_algebra
  from tensorflow_probability.python.internal.backend.numpy.gen import matmul_registrations as _matmul_registrations
  from tensorflow_probability.python.internal.backend.numpy.gen import solve_registrations as _solve_registrations

  from tensorflow_probability.python.internal.backend.numpy.gen.linear_operator import *
  from tensorflow_probability.python.internal.backend.numpy.gen.linear_operator_block_diag import *
  from tensorflow_probability.python.internal.backend.numpy.gen.linear_operator_block_lower_triangular import *
  from tensorflow_probability.python.internal.backend.numpy.gen.linear_operator_circulant import *
  from tensorflow_probability.python.internal.backend.numpy.gen.linear_operator_composition import *
  from tensorflow_probability.python.internal.backend.numpy.gen.linear_operator_diag import *
  from tensorflow_probability.python.internal.backend.numpy.gen.linear_operator_full_matrix import *
  from tensorflow_probability.python.internal.backend.numpy.gen.linear_operator_householder import *
  from tensorflow_probability.python.internal.backend.numpy.gen.linear_operator_identity import *
  from tensorflow_probability.python.internal.backend.numpy.gen.linear_operator_kronecker import *
  from tensorflow_probability.python.internal.backend.numpy.gen.linear_operator_low_rank_update import *
  from tensorflow_probability.python.internal.backend.numpy.gen.linear_operator_lower_triangular import *
  from tensorflow_probability.python.internal.backend.numpy.gen.linear_operator_toeplitz import *
  from tensorflow_probability.python.internal.backend.numpy.gen.linear_operator_zeros import *
except ImportError:
  import sys
  # Backend should only fail importing if we're running pytest.
  if 'pytest' not in sys.modules:
    raise

Add LinearOperatorHouseholder as a symbol in the Numpy/JAX backend.