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体验新版 GitCode,发现更多精彩内容 >>
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ad92a5c1
编写于
3月 06, 2023
作者:
T
Taylor-Layrose
提交者:
GitHub
3月 06, 2023
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电子邮件补丁
差异文件
greater_equal API for fp16 (#51098)
上级
42d70873
变更
2
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Showing
2 changed file
with
45 addition
and
4 deletion
+45
-4
python/paddle/fluid/tests/unittests/test_greater_equal_op.py
python/paddle/fluid/tests/unittests/test_greater_equal_op.py
+41
-0
python/paddle/tensor/logic.py
python/paddle/tensor/logic.py
+4
-4
未找到文件。
python/paddle/fluid/tests/unittests/test_greater_equal_op.py
0 → 100644
浏览文件 @
ad92a5c1
# Copyright (c) 2018 PaddlePaddle 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.
import
unittest
import
numpy
as
np
import
paddle
import
paddle.fluid.core
as
core
import
paddle.static
as
static
class
Test_Greater_Equal_Op_Fp16
(
unittest
.
TestCase
):
def
test_api_fp16
(
self
):
paddle
.
enable_static
()
with
static
.
program_guard
(
static
.
Program
(),
static
.
Program
()):
label
=
paddle
.
to_tensor
([
3
,
3
],
dtype
=
"float16"
)
limit
=
paddle
.
to_tensor
([
3
,
2
],
dtype
=
"float16"
)
out
=
paddle
.
greater_equal
(
x
=
label
,
y
=
limit
)
if
core
.
is_compiled_with_cuda
():
place
=
paddle
.
CUDAPlace
(
0
)
exe
=
static
.
Executor
(
place
)
(
res
,)
=
exe
.
run
(
fetch_list
=
[
out
])
self
.
assertEqual
((
res
==
np
.
array
([
True
,
True
])).
all
(),
True
)
if
__name__
==
'__main__'
:
paddle
.
enable_static
()
unittest
.
main
()
python/paddle/tensor/logic.py
浏览文件 @
ad92a5c1
...
...
@@ -495,8 +495,8 @@ def greater_equal(x, y, name=None):
The output has no gradient.
Args:
x(Tensor): First input to compare which is N-D tensor. The input data type should be bool, float32, float64, int32, int64.
y(Tensor): Second input to compare which is N-D tensor. The input data type should be bool, float32, float64, int32, int64.
x(Tensor): First input to compare which is N-D tensor. The input data type should be bool, float
16, float
32, float64, int32, int64.
y(Tensor): Second input to compare which is N-D tensor. The input data type should be bool, float
16, float
32, float64, int32, int64.
name(str, optional): The default value is None. Normally there is no need for
user to set this property. For more information, please refer to :ref:`api_guide_Name`.
Returns:
...
...
@@ -518,13 +518,13 @@ def greater_equal(x, y, name=None):
check_variable_and_dtype
(
x
,
"x"
,
[
"bool"
,
"float32"
,
"float64"
,
"int32"
,
"int64"
],
[
"bool"
,
"float
16"
,
"float
32"
,
"float64"
,
"int32"
,
"int64"
],
"greater_equal"
,
)
check_variable_and_dtype
(
y
,
"y"
,
[
"bool"
,
"float32"
,
"float64"
,
"int32"
,
"int64"
],
[
"bool"
,
"float
16"
,
"float
32"
,
"float64"
,
"int32"
,
"int64"
],
"greater_equal"
,
)
helper
=
LayerHelper
(
"greater_equal"
,
**
locals
())
...
...
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