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# Copyright 2017 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.
# ==============================================================================
"""Utilities for writing test involving spectral_ops."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.framework import ops
from tensorflow.python.platform import test
def _use_eigen_kernels():
use_eigen_kernels = False # Eigen kernels are default
if test.is_gpu_available(cuda_only=True):
use_eigen_kernels = False
return use_eigen_kernels
def fft_kernel_label_map():
"""Returns a generator overriding kernel selection.
This is used to force testing of the eigen kernels, even
when they are not the default registered kernels.
Returns:
A generator in which to wrap every test.
"""
if _use_eigen_kernels():
d = dict([(op, "eigen")
for op in [
"FFT", "FFT2D", "FFT3D", "IFFT", "IFFT2D", "IFFT3D",
"IRFFT", "IRFFT2D", "IRFFT3D", "RFFT", "RFFT2D", "RFFT3D"
]])
return ops.get_default_graph()._kernel_label_map(d) # pylint: disable=protected-access
else:
return ops.get_default_graph()._kernel_label_map({}) # pylint: disable=protected-access
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