503f3418ca
This PR removes expired forward compatibility statements that will always evaluate to `True`.
89 lines
3.4 KiB
Python
89 lines
3.4 KiB
Python
# Copyright 2019 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.
|
|
# ==============================================================================
|
|
"""Test cases for einsum op."""
|
|
|
|
from __future__ import absolute_import
|
|
from __future__ import division
|
|
from __future__ import print_function
|
|
|
|
import numpy as np
|
|
|
|
from tensorflow.compiler.tests import xla_test
|
|
from tensorflow.python.framework import dtypes
|
|
from tensorflow.python.ops import array_ops
|
|
from tensorflow.python.ops import special_math_ops
|
|
from tensorflow.python.platform import googletest
|
|
|
|
|
|
class EinsumOpTest(xla_test.XLATestCase):
|
|
"""Test cases for einsum op."""
|
|
|
|
def _testUnary(self, op, inp, expected):
|
|
"""Verifies that unary 'op' produces 'expected' when fed input 'inp'."""
|
|
with self.session() as session:
|
|
with self.test_scope():
|
|
pinp = array_ops.placeholder(
|
|
dtypes.as_dtype(inp.dtype), inp.shape, name='a')
|
|
output = op(pinp)
|
|
result = session.run(output, {pinp: inp})
|
|
self.assertEqual(output.dtype, expected.dtype)
|
|
self.assertAllCloseAccordingToType(
|
|
expected, result, rtol=1e-3, atol=1e-5, bfloat16_rtol=0.03)
|
|
|
|
def _testBinary(self, op, a, b, expected):
|
|
"""Verifies that binary 'op' produces 'expected' when fed 'a' and 'b'."""
|
|
with self.session() as session:
|
|
with self.test_scope():
|
|
pa = array_ops.placeholder(dtypes.as_dtype(a.dtype), a.shape, name='a')
|
|
pb = array_ops.placeholder(dtypes.as_dtype(b.dtype), b.shape, name='b')
|
|
output = op(pa, pb)
|
|
result = session.run(output, {pa: a, pb: b})
|
|
self.assertAllCloseAccordingToType(result, expected, rtol=1e-3)
|
|
|
|
def testMatMul(self):
|
|
for dtype in self.float_types:
|
|
self._testBinary(
|
|
lambda x, y: special_math_ops.einsum('ij,jk->ik', x, y),
|
|
np.array([[-0.25]], dtype=dtype),
|
|
np.array([[8]], dtype=dtype),
|
|
expected=np.array([[-2]], dtype=dtype))
|
|
|
|
def testImplicitForm(self):
|
|
for dtype in self.float_types:
|
|
self._testBinary(
|
|
lambda x, y: special_math_ops.einsum('ijk,kji', x, y),
|
|
np.array([[[1, 3], [2, 5], [6, 8]]], dtype=dtype),
|
|
np.array([[[1], [3], [2]], [[5], [6], [8]]], dtype=dtype),
|
|
expected=np.array(128, dtype=dtype))
|
|
|
|
def testReducedIndices(self):
|
|
for dtype in self.float_types:
|
|
self._testBinary(
|
|
lambda x, y: special_math_ops.einsum('ij,j->', x, y),
|
|
np.array([[1, 3], [2, 5], [6, 8]], dtype=dtype),
|
|
np.array([3, 2], dtype=dtype),
|
|
expected=np.array(59, dtype=dtype))
|
|
|
|
def testUnary(self):
|
|
for dtype in self.float_types:
|
|
self._testUnary(
|
|
lambda x: special_math_ops.einsum('ijk->kji', x),
|
|
np.array([[[1, 3], [2, 5], [6, 8]]], dtype=dtype),
|
|
expected=np.array([[[1], [2], [6]], [[3], [5], [8]]], dtype=dtype))
|
|
|
|
|
|
if __name__ == '__main__':
|
|
googletest.main()
|