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# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# 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.
# ==============================================================================
"""Internal utilities for `LinearOperator` classes."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.framework import ops
from tensorflow.python.ops import check_ops
from tensorflow.python.ops import control_flow_ops
from tensorflow.python.ops import math_ops
def assert_no_entries_with_modulus_zero(
x, message=None, name="assert_no_entries_with_modulus_zero"):
"""Returns `Op` that asserts Tensor `x` has no entries with modulus zero.
Args:
x: Numeric `Tensor`, real, integer, or complex.
message: A string message to prepend to failure message.
name: A name to give this `Op`.
Returns:
An `Op` that asserts `x` has no entries with modulus zero.
"""
with ops.name_scope(name, values=[x]):
x = ops.convert_to_tensor(x, name="x")
dtype = x.dtype.base_dtype
if dtype.is_complex:
should_be_nonzero = math_ops.complex_abs(x)
else:
should_be_nonzero = math_ops.abs(x)
zero = ops.convert_to_tensor(0, dtype=dtype.real_dtype)
return check_ops.assert_less(zero, should_be_nonzero, message=message)
def assert_zero_imag_part(x, message=None, name="assert_zero_imag_part"):
"""Returns `Op` that asserts Tensor `x` has no non-zero imaginary parts.
Args:
x: Numeric `Tensor`, real, integer, or complex.
message: A string message to prepend to failure message.
name: A name to give this `Op`.
Returns:
An `Op` that asserts `x` has no entries with modulus zero.
"""
with ops.name_scope(name, values=[x]):
x = ops.convert_to_tensor(x, name="x")
dtype = x.dtype.base_dtype
if dtype.is_floating:
return control_flow_ops.no_op()
zero = ops.convert_to_tensor(0, dtype=dtype.real_dtype)
return check_ops.assert_equal(zero, math_ops.imag(x), message=message)
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