Move linspace tests to their own file.

PiperOrigin-RevId: 313843608
Change-Id: Ifdae2ac60a721795151124a6a2ee643cb0e527ec
This commit is contained in:
Akshay Modi 2020-05-29 13:47:23 -07:00 committed by TensorFlower Gardener
parent 7d0ab61788
commit efa880137e
3 changed files with 75 additions and 30 deletions

View File

@ -5079,6 +5079,21 @@ cuda_py_test(
],
)
cuda_py_test(
name = "math_ops_linspace_test",
size = "medium",
srcs = ["ops/math_ops_linspace_test.py"],
python_version = "PY3",
tags = ["no_windows_gpu"],
deps = [
":framework_for_generated_wrappers",
":framework_test_lib",
":math_ops",
":platform_test",
"//third_party/py/numpy",
],
)
cuda_py_test(
name = "nn_batchnorm_test",
size = "medium",

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@ -0,0 +1,60 @@
# Copyright 2020 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.
# ==============================================================================
"""Tests for tensorflow.ops.math_ops.linspace."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
# Using distutils.version.LooseVersion was resulting in an error, so importing
# directly.
from distutils.version import LooseVersion # pylint: disable=g-importing-member
import itertools
import numpy as np
from tensorflow.python.framework import test_util
from tensorflow.python.ops import math_ops
from tensorflow.python.platform import googletest
@test_util.run_all_in_graph_and_eager_modes
class LinspaceTest(test_util.TensorFlowTestCase):
def testLinspaceBroadcasts(self):
if LooseVersion(np.version.version) < LooseVersion("1.16.0"):
self.skipTest("numpy doesn't support axes before version 1.16.0")
shapes = [(), (2,), (2, 2)]
types = [np.float64, np.int64]
for start_shape, stop_shape in itertools.product(shapes, repeat=2):
for num in [0, 1, 2, 20]:
ndims = max(len(start_shape), len(stop_shape))
for axis in range(-ndims, ndims):
for dtype in types:
start = np.ones(start_shape, dtype)
stop = 10 * np.ones(stop_shape, dtype)
np_ans = np.linspace(start, stop, num, axis=axis)
tf_ans = self.evaluate(
math_ops.linspace_nd(start, stop, num, axis=axis))
self.assertAllClose(np_ans, tf_ans)
if __name__ == "__main__":
googletest.main()

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@ -17,9 +17,6 @@ from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import distutils
import itertools
import numpy as np
from tensorflow.python.eager import backprop
@ -824,32 +821,5 @@ class RangeTest(test_util.TensorFlowTestCase):
self.assertAllEqual(values, self.evaluate(tensor))
@test_util.run_all_in_graph_and_eager_modes
class LinspaceTest(test_util.TensorFlowTestCase):
def testLinspaceBroadcasts(self):
if distutils.version.LooseVersion(
np.version.version) < distutils.version.LooseVersion("1.16.0"):
self.skipTest("numpy doesn't support axes before version 1.16.0")
shapes = [(), (2,), (2, 2)]
types = [np.float64, np.int64]
for start_shape, stop_shape in itertools.product(shapes, repeat=2):
for num in [0, 1, 2, 20]:
ndims = max(len(start_shape), len(stop_shape))
for axis in range(-ndims, ndims):
for dtype in types:
start = np.ones(start_shape, dtype)
stop = 10 * np.ones(stop_shape, dtype)
np_ans = np.linspace(start, stop, num, axis=axis)
tf_ans = self.evaluate(
math_ops.linspace_nd(start, stop, num, axis=axis))
self.assertAllClose(np_ans, tf_ans)
if __name__ == "__main__":
googletest.main()