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ce5e1196
编写于
4月 12, 2022
作者:
A
Asthestarsfalll
提交者:
GitHub
4月 12, 2022
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差异文件
【Hackathon No.27】为 Paddle 新增 frac 数学计算API (#41226)
上级
4819ab4d
变更
4
显示空白变更内容
内联
并排
Showing
4 changed file
with
176 addition
and
0 deletion
+176
-0
python/paddle/__init__.py
python/paddle/__init__.py
+2
-0
python/paddle/fluid/tests/unittests/test_frac_api.py
python/paddle/fluid/tests/unittests/test_frac_api.py
+118
-0
python/paddle/tensor/__init__.py
python/paddle/tensor/__init__.py
+2
-0
python/paddle/tensor/math.py
python/paddle/tensor/math.py
+54
-0
未找到文件。
python/paddle/__init__.py
浏览文件 @
ce5e1196
...
@@ -268,6 +268,7 @@ from .tensor.math import fmax # noqa: F401
...
@@ -268,6 +268,7 @@ from .tensor.math import fmax # noqa: F401
from
.tensor.math
import
fmin
# noqa: F401
from
.tensor.math
import
fmin
# noqa: F401
from
.tensor.math
import
inner
# noqa: F401
from
.tensor.math
import
inner
# noqa: F401
from
.tensor.math
import
outer
# noqa: F401
from
.tensor.math
import
outer
# noqa: F401
from
.tensor.math
import
frac
# noqa: F401
from
.tensor.random
import
bernoulli
# noqa: F401
from
.tensor.random
import
bernoulli
# noqa: F401
from
.tensor.random
import
poisson
# noqa: F401
from
.tensor.random
import
poisson
# noqa: F401
...
@@ -606,6 +607,7 @@ __all__ = [ # noqa
...
@@ -606,6 +607,7 @@ __all__ = [ # noqa
'concat'
,
'concat'
,
'check_shape'
,
'check_shape'
,
'trunc'
,
'trunc'
,
'frac'
,
'digamma'
,
'digamma'
,
'standard_normal'
,
'standard_normal'
,
'diagonal'
,
'diagonal'
,
...
...
python/paddle/fluid/tests/unittests/test_frac_api.py
0 → 100644
浏览文件 @
ce5e1196
# 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.
from
__future__
import
print_function
import
unittest
import
numpy
as
np
import
paddle
import
paddle.fluid
as
fluid
import
paddle.fluid.core
as
core
from
paddle.fluid
import
Program
,
program_guard
from
paddle.fluid.framework
import
_test_eager_guard
def
ref_frac
(
x
):
return
x
-
np
.
trunc
(
x
)
class
TestFracAPI
(
unittest
.
TestCase
):
"""Test Frac API"""
def
set_dtype
(
self
):
self
.
dtype
=
'float64'
def
setUp
(
self
):
self
.
set_dtype
()
self
.
x_np
=
np
.
random
.
uniform
(
-
3
,
3
,
[
2
,
3
]).
astype
(
self
.
dtype
)
self
.
place
=
paddle
.
CUDAPlace
(
0
)
if
core
.
is_compiled_with_cuda
()
\
else
paddle
.
CPUPlace
()
def
test_api_static
(
self
):
paddle
.
enable_static
()
with
program_guard
(
Program
()):
input
=
fluid
.
data
(
'X'
,
self
.
x_np
.
shape
,
self
.
x_np
.
dtype
)
out
=
paddle
.
frac
(
input
)
place
=
fluid
.
CPUPlace
()
if
fluid
.
core
.
is_compiled_with_cuda
():
place
=
fluid
.
CUDAPlace
(
0
)
exe
=
fluid
.
Executor
(
place
)
res
=
exe
.
run
(
feed
=
{
'X'
:
self
.
x_np
},
fetch_list
=
[
out
])
out_ref
=
ref_frac
(
self
.
x_np
)
self
.
assertTrue
(
np
.
allclose
(
out_ref
,
res
))
def
test_api_dygraph
(
self
):
paddle
.
disable_static
(
self
.
place
)
x
=
paddle
.
to_tensor
(
self
.
x_np
)
out
=
paddle
.
frac
(
x
)
out_ref
=
ref_frac
(
self
.
x_np
)
self
.
assertTrue
(
np
.
allclose
(
out_ref
,
out
.
numpy
()))
def
test_api_eager
(
self
):
paddle
.
disable_static
(
self
.
place
)
with
_test_eager_guard
():
x_tensor
=
paddle
.
to_tensor
(
self
.
x_np
)
out
=
paddle
.
frac
(
x_tensor
)
out_ref
=
ref_frac
(
self
.
x_np
)
self
.
assertTrue
(
np
.
allclose
(
out_ref
,
out
.
numpy
()))
paddle
.
enable_static
()
def
test_api_eager_dygraph
(
self
):
with
_test_eager_guard
():
self
.
test_api_dygraph
()
class
TestFracInt32
(
TestFracAPI
):
"""Test Frac API with data type int32"""
def
set_dtype
(
self
):
self
.
dtype
=
'int32'
class
TestFracInt64
(
TestFracAPI
):
"""Test Frac API with data type int64"""
def
set_dtype
(
self
):
self
.
dtype
=
'int64'
class
TestFracFloat32
(
TestFracAPI
):
"""Test Frac API with data type float32"""
def
set_dtype
(
self
):
self
.
dtype
=
'float32'
class
TestFracError
(
unittest
.
TestCase
):
"""Test Frac Error"""
def
setUp
(
self
):
self
.
x_np
=
np
.
random
.
uniform
(
-
3
,
3
,
[
2
,
3
]).
astype
(
'int16'
)
self
.
place
=
paddle
.
CUDAPlace
(
0
)
if
core
.
is_compiled_with_cuda
()
\
else
paddle
.
CPUPlace
()
def
test_static_error
(
self
):
paddle
.
enable_static
()
with
paddle
.
static
.
program_guard
(
paddle
.
static
.
Program
()):
x
=
paddle
.
fluid
.
data
(
'X'
,
[
5
,
5
],
'bool'
)
self
.
assertRaises
(
TypeError
,
paddle
.
frac
,
x
)
def
test_dygraph_error
(
self
):
paddle
.
disable_static
(
self
.
place
)
x
=
paddle
.
to_tensor
(
self
.
x_np
,
dtype
=
'int16'
)
self
.
assertRaises
(
TypeError
,
paddle
.
frac
,
x
)
if
__name__
==
'__main__'
:
unittest
.
main
()
python/paddle/tensor/__init__.py
浏览文件 @
ce5e1196
...
@@ -228,6 +228,7 @@ from .math import fmax # noqa: F401
...
@@ -228,6 +228,7 @@ from .math import fmax # noqa: F401
from
.math
import
fmin
# noqa: F401
from
.math
import
fmin
# noqa: F401
from
.math
import
inner
# noqa: F401
from
.math
import
inner
# noqa: F401
from
.math
import
outer
# noqa: F401
from
.math
import
outer
# noqa: F401
from
.math
import
frac
# noqa: F401
from
.random
import
multinomial
# noqa: F401
from
.random
import
multinomial
# noqa: F401
from
.random
import
standard_normal
# noqa: F401
from
.random
import
standard_normal
# noqa: F401
...
@@ -454,6 +455,7 @@ tensor_method_func = [ #noqa
...
@@ -454,6 +455,7 @@ tensor_method_func = [ #noqa
'digamma'
,
'digamma'
,
'diagonal'
,
'diagonal'
,
'trunc'
,
'trunc'
,
'frac'
,
'bitwise_and'
,
'bitwise_and'
,
'bitwise_or'
,
'bitwise_or'
,
'bitwise_xor'
,
'bitwise_xor'
,
...
...
python/paddle/tensor/math.py
浏览文件 @
ce5e1196
...
@@ -4385,3 +4385,57 @@ def angle(x, name=None):
...
@@ -4385,3 +4385,57 @@ def angle(x, name=None):
outputs
=
{
"Out"
:
out
}
outputs
=
{
"Out"
:
out
}
helper
.
append_op
(
type
=
op_type
,
inputs
=
inputs
,
outputs
=
outputs
)
helper
.
append_op
(
type
=
op_type
,
inputs
=
inputs
,
outputs
=
outputs
)
return
out
return
out
def
frac
(
x
,
name
=
None
):
"""
This API is used to return the fractional portion of each element in input.
Args:
x (Tensor): The input tensor, which data type should be int32, int64, float32, float64.
name: (str, optional): Name for operation (optional, default is None). For more
Returns:
Tensor: The output Tensor of frac.
Examples:
.. code-block:: Python
import paddle
import numpy as np
input = paddle.rand([3, 3], 'float32')
print(input.numpy())
# [[ 1.2203873 -1.0035421 -0.35193074]
# [-0.00928353 0.58917075 -0.8407828 ]
# [-1.5131804 0.5850153 -0.17597814]]
output = paddle.frac(input)
print(output.numpy())
# [[ 0.22038734 -0.00354207 -0.35193074]
# [-0.00928353 0.58917075 -0.8407828 ]
# [-0.5131804 0.5850153 -0.17597814]]
"""
op_type
=
'elementwise_sub'
axis
=
-
1
act
=
None
if
x
.
dtype
not
in
[
paddle
.
int32
,
paddle
.
int64
,
paddle
.
float32
,
paddle
.
float64
]:
raise
TypeError
(
"The data type of input must be one of ['int32', 'int64', 'float32', 'float64'], but got {}"
.
format
(
x
.
dtype
))
if
in_dygraph_mode
():
y
=
_C_ops
.
final_state_trunc
(
x
)
return
_C_ops
.
final_state_subtract
(
x
,
y
)
else
:
if
_in_legacy_dygraph
():
y
=
_C_ops
.
trunc
(
x
)
return
_elementwise_op_in_dygraph
(
x
,
y
,
axis
=
axis
,
act
=
act
,
op_name
=
op_type
)
else
:
inputs
=
{
"X"
:
x
}
attrs
=
{}
helper
=
LayerHelper
(
"trunc"
,
**
locals
())
check_variable_and_dtype
(
x
,
"X"
,
[
'int32'
,
'int64'
,
'float32'
,
'float64'
],
'trunc'
)
y
=
helper
.
create_variable_for_type_inference
(
dtype
=
x
.
dtype
)
helper
.
append_op
(
type
=
"trunc"
,
inputs
=
inputs
,
attrs
=
attrs
,
outputs
=
{
"Out"
:
y
})
return
_elementwise_op
(
LayerHelper
(
op_type
,
**
locals
()))
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