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4c1e27cc
编写于
12月 14, 2021
作者:
J
jianghaicheng
提交者:
GitHub
12月 14, 2021
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差异文件
ipu_commit_tests p7 (#38089)
上级
096a07e8
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6
显示空白变更内容
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Showing
6 changed file
with
969 addition
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0 deletion
+969
-0
python/paddle/fluid/tests/unittests/ipu/test_mean_op_ipu.py
python/paddle/fluid/tests/unittests/ipu/test_mean_op_ipu.py
+128
-0
python/paddle/fluid/tests/unittests/ipu/test_mul_op_ipu.py
python/paddle/fluid/tests/unittests/ipu/test_mul_op_ipu.py
+140
-0
python/paddle/fluid/tests/unittests/ipu/test_pool_avg_op_ipu.py
.../paddle/fluid/tests/unittests/ipu/test_pool_avg_op_ipu.py
+182
-0
python/paddle/fluid/tests/unittests/ipu/test_pool_max_op_ipu.py
.../paddle/fluid/tests/unittests/ipu/test_pool_max_op_ipu.py
+181
-0
python/paddle/fluid/tests/unittests/ipu/test_pow_op_ipu.py
python/paddle/fluid/tests/unittests/ipu/test_pow_op_ipu.py
+157
-0
python/paddle/fluid/tests/unittests/ipu/test_reduce_x_op_ipu.py
.../paddle/fluid/tests/unittests/ipu/test_reduce_x_op_ipu.py
+181
-0
未找到文件。
python/paddle/fluid/tests/unittests/ipu/test_mean_op_ipu.py
0 → 100644
浏览文件 @
4c1e27cc
# Copyright (c) 2021 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
as
fluid
import
paddle.fluid.compiler
as
compiler
import
paddle.optimizer
import
paddle.static
from
paddle.fluid.tests.unittests.ipu.op_test_ipu
import
IPUOpTest
paddle
.
enable_static
()
@
unittest
.
skipIf
(
not
paddle
.
is_compiled_with_ipu
(),
"core is not compiled with IPU"
)
class
TestBase
(
IPUOpTest
):
def
setUp
(
self
):
self
.
set_atol
()
self
.
set_training
()
self
.
set_feed
()
self
.
set_attrs
()
def
set_feed
(
self
):
self
.
feed_shape
=
[]
self
.
feed_shape
.
append
([
1
,
3
,
10
,
10
])
self
.
feed
=
{}
self
.
feed
[
"in_0"
]
=
np
.
random
.
uniform
(
size
=
self
.
feed_shape
[
0
]).
astype
(
np
.
float32
)
self
.
feed_list
=
list
(
self
.
feed
.
keys
())
def
set_attrs
(
self
):
self
.
attrs
=
{}
self
.
attrs
[
'axis'
]
=
None
self
.
attrs
[
'keepdim'
]
=
False
def
_test_base
(
self
,
run_ipu
=
True
):
scope
=
fluid
.
core
.
Scope
()
main_prog
=
paddle
.
static
.
Program
()
startup_prog
=
paddle
.
static
.
Program
()
SEED
=
self
.
SEED
main_prog
.
random_seed
=
SEED
startup_prog
.
random_seed
=
SEED
with
fluid
.
scope_guard
(
scope
):
with
paddle
.
static
.
program_guard
(
main_prog
,
startup_prog
):
x
=
paddle
.
static
.
data
(
name
=
self
.
feed_list
[
0
],
shape
=
self
.
feed_shape
[
0
],
dtype
=
'float32'
)
out
=
paddle
.
mean
(
x
,
**
self
.
attrs
)
fetch_list
=
[
out
.
name
]
if
run_ipu
:
place
=
paddle
.
IPUPlace
()
else
:
place
=
paddle
.
CPUPlace
()
exe
=
paddle
.
static
.
Executor
(
place
)
exe
.
run
(
startup_prog
)
if
run_ipu
:
feed_list
=
self
.
feed_list
ipu_strategy
=
compiler
.
get_ipu_strategy
()
ipu_strategy
.
is_training
=
self
.
is_training
program
=
compiler
.
IPUCompiledProgram
(
main_prog
,
ipu_strategy
=
ipu_strategy
).
compile
(
feed_list
,
fetch_list
)
else
:
program
=
main_prog
result
=
exe
.
run
(
program
,
feed
=
self
.
feed
,
fetch_list
=
fetch_list
)
return
result
[
0
]
def
test_base
(
self
):
res0
=
self
.
_test_base
(
True
)
res1
=
self
.
_test_base
(
False
)
self
.
assertTrue
(
np
.
allclose
(
res0
.
flatten
(),
res1
.
flatten
(),
atol
=
self
.
atol
))
class
TestCase1
(
TestBase
):
def
set_attrs
(
self
):
self
.
attrs
=
{}
self
.
attrs
[
'axis'
]
=
1
self
.
attrs
[
'keepdim'
]
=
False
class
TestCase2
(
TestBase
):
def
set_attrs
(
self
):
self
.
attrs
=
{}
self
.
attrs
[
'axis'
]
=
2
self
.
attrs
[
'keepdim'
]
=
False
class
TestCase3
(
TestBase
):
def
set_attrs
(
self
):
self
.
attrs
=
{}
self
.
attrs
[
'axis'
]
=
2
self
.
attrs
[
'keepdim'
]
=
True
class
TestCase4
(
TestBase
):
def
set_attrs
(
self
):
self
.
attrs
=
{}
self
.
attrs
[
'axis'
]
=
None
self
.
attrs
[
'keepdim'
]
=
True
if
__name__
==
"__main__"
:
unittest
.
main
()
python/paddle/fluid/tests/unittests/ipu/test_mul_op_ipu.py
0 → 100644
浏览文件 @
4c1e27cc
# Copyright (c) 2021 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
as
fluid
import
paddle.fluid.compiler
as
compiler
import
paddle.optimizer
import
paddle.static
from
paddle.fluid.tests.unittests.ipu.op_test_ipu
import
(
IPUOpTest
,
np_dtype_to_fluid_str
)
paddle
.
enable_static
()
@
unittest
.
skipIf
(
not
paddle
.
is_compiled_with_ipu
(),
"core is not compiled with IPU"
)
class
TestBase
(
IPUOpTest
):
def
setUp
(
self
):
self
.
set_atol
()
self
.
set_training
()
self
.
set_feed
()
self
.
set_feed_attr
()
self
.
set_attrs
()
def
set_feed
(
self
):
self
.
feed
=
{
"x"
:
np
.
random
.
uniform
(
size
=
[
2
,
5
]).
astype
(
'float32'
),
"y"
:
np
.
random
.
uniform
(
size
=
[
5
,
3
]).
astype
(
'float32'
),
}
def
set_feed_attr
(
self
):
self
.
feed_shape
=
[
x
.
shape
for
x
in
self
.
feed
.
values
()]
self
.
feed_list
=
list
(
self
.
feed
.
keys
())
self
.
feed_dtype
=
[
np_dtype_to_fluid_str
(
x
.
dtype
)
for
x
in
self
.
feed
.
values
()
]
def
set_attrs
(
self
):
self
.
attrs
=
{
"x_num_col_dims"
:
1
,
"y_num_col_dims"
:
1
,
}
def
_test_base
(
self
,
run_ipu
=
True
):
scope
=
fluid
.
core
.
Scope
()
main_prog
=
paddle
.
static
.
Program
()
startup_prog
=
paddle
.
static
.
Program
()
SEED
=
self
.
SEED
main_prog
.
random_seed
=
SEED
startup_prog
.
random_seed
=
SEED
with
fluid
.
scope_guard
(
scope
):
with
paddle
.
static
.
program_guard
(
main_prog
,
startup_prog
):
x
=
paddle
.
static
.
data
(
name
=
self
.
feed_list
[
0
],
shape
=
self
.
feed_shape
[
0
],
dtype
=
self
.
feed_dtype
[
0
])
y
=
paddle
.
static
.
data
(
name
=
self
.
feed_list
[
1
],
shape
=
self
.
feed_shape
[
1
],
dtype
=
self
.
feed_dtype
[
1
])
out
=
paddle
.
fluid
.
layers
.
mul
(
x
,
y
,
**
self
.
attrs
)
fetch_list
=
[
out
.
name
]
if
run_ipu
:
place
=
paddle
.
IPUPlace
()
else
:
place
=
paddle
.
CPUPlace
()
exe
=
paddle
.
static
.
Executor
(
place
)
exe
.
run
(
startup_prog
)
if
run_ipu
:
feed_list
=
self
.
feed_list
ipu_strategy
=
compiler
.
get_ipu_strategy
()
ipu_strategy
.
is_training
=
self
.
is_training
program
=
compiler
.
IPUCompiledProgram
(
main_prog
,
ipu_strategy
=
ipu_strategy
).
compile
(
feed_list
,
fetch_list
)
else
:
program
=
main_prog
result
=
exe
.
run
(
program
,
feed
=
self
.
feed
,
fetch_list
=
fetch_list
)
return
result
[
0
]
def
test_base
(
self
):
res0
=
self
.
_test_base
(
False
)
res1
=
self
.
_test_base
(
True
)
self
.
assertTrue
(
np
.
allclose
(
res0
.
flatten
(),
res1
.
flatten
(),
atol
=
self
.
atol
))
self
.
assertTrue
(
res0
.
shape
==
res1
.
shape
)
class
TestCase1
(
TestBase
):
def
set_feed
(
self
):
self
.
feed
=
{
"x"
:
np
.
random
.
uniform
(
size
=
[
1
,
2
,
5
]).
astype
(
'float32'
),
"y"
:
np
.
random
.
uniform
(
size
=
[
5
,
3
]).
astype
(
'float32'
),
}
def
set_attrs
(
self
):
self
.
attrs
=
{
"x_num_col_dims"
:
2
,
"y_num_col_dims"
:
1
,
}
class
TestCase2
(
TestBase
):
def
set_feed
(
self
):
self
.
feed
=
{
"x"
:
np
.
random
.
uniform
(
size
=
[
3
,
4
,
2
,
9
]).
astype
(
'float32'
),
"y"
:
np
.
random
.
uniform
(
size
=
[
3
,
6
,
1
,
2
,
3
]).
astype
(
'float32'
),
}
def
set_attrs
(
self
):
self
.
attrs
=
{
'x_num_col_dims'
:
2
,
'y_num_col_dims'
:
2
,
}
if
__name__
==
"__main__"
:
unittest
.
main
()
python/paddle/fluid/tests/unittests/ipu/test_pool_avg_op_ipu.py
0 → 100644
浏览文件 @
4c1e27cc
# Copyright (c) 2021 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
as
fluid
import
paddle.fluid.compiler
as
compiler
import
paddle.optimizer
import
paddle.static
from
paddle.fluid.tests.unittests.ipu.op_test_ipu
import
(
IPUOpTest
,
np_dtype_to_fluid_str
)
paddle
.
enable_static
()
@
unittest
.
skipIf
(
not
paddle
.
is_compiled_with_ipu
(),
"core is not compiled with IPU"
)
class
TestBase
(
IPUOpTest
):
def
setUp
(
self
):
self
.
set_atol
()
self
.
set_training
()
self
.
set_feed
()
self
.
set_feed_attr
()
self
.
set_attrs
()
def
set_feed
(
self
):
self
.
feed
=
{
"x"
:
np
.
random
.
uniform
(
size
=
[
1
,
3
,
10
,
10
]).
astype
(
'float32'
),
}
def
set_feed_attr
(
self
):
self
.
feed_shape
=
[
x
.
shape
for
x
in
self
.
feed
.
values
()]
self
.
feed_list
=
list
(
self
.
feed
.
keys
())
self
.
feed_dtype
=
[
np_dtype_to_fluid_str
(
x
.
dtype
)
for
x
in
self
.
feed
.
values
()
]
def
set_attrs
(
self
):
self
.
attrs
=
{
"pool_size"
:
3
,
"pool_type"
:
'avg'
,
"pool_stride"
:
1
,
"pool_padding"
:
0
,
"global_pooling"
:
False
,
"ceil_mode"
:
False
,
"exclusive"
:
True
,
"data_format"
:
'NCHW'
,
}
def
_test_base
(
self
,
run_ipu
=
True
):
scope
=
fluid
.
core
.
Scope
()
main_prog
=
paddle
.
static
.
Program
()
startup_prog
=
paddle
.
static
.
Program
()
SEED
=
self
.
SEED
main_prog
.
random_seed
=
SEED
startup_prog
.
random_seed
=
SEED
with
fluid
.
scope_guard
(
scope
):
with
paddle
.
static
.
program_guard
(
main_prog
,
startup_prog
):
x
=
paddle
.
static
.
data
(
name
=
self
.
feed_list
[
0
],
shape
=
self
.
feed_shape
[
0
],
dtype
=
self
.
feed_dtype
[
0
])
out
=
paddle
.
fluid
.
layers
.
pool2d
(
x
,
**
self
.
attrs
)
fetch_list
=
[
out
.
name
]
if
run_ipu
:
place
=
paddle
.
IPUPlace
()
else
:
place
=
paddle
.
CPUPlace
()
exe
=
paddle
.
static
.
Executor
(
place
)
exe
.
run
(
startup_prog
)
if
run_ipu
:
feed_list
=
self
.
feed_list
ipu_strategy
=
compiler
.
get_ipu_strategy
()
ipu_strategy
.
is_training
=
self
.
is_training
program
=
compiler
.
IPUCompiledProgram
(
main_prog
,
ipu_strategy
=
ipu_strategy
).
compile
(
feed_list
,
fetch_list
)
else
:
program
=
main_prog
result
=
exe
.
run
(
program
,
feed
=
self
.
feed
,
fetch_list
=
fetch_list
)
return
result
[
0
]
def
test_base
(
self
):
res0
=
self
.
_test_base
(
False
)
res1
=
self
.
_test_base
(
True
)
self
.
assertTrue
(
np
.
allclose
(
res0
.
flatten
(),
res1
.
flatten
(),
atol
=
self
.
atol
))
self
.
assertTrue
(
res0
.
shape
==
res1
.
shape
)
class
TestCase1
(
TestBase
):
def
set_attrs
(
self
):
super
().
set_attrs
()
self
.
attrs
[
'pool_size'
]
=
3
class
TestCase1_2
(
TestBase
):
def
set_attrs
(
self
):
super
().
set_attrs
()
self
.
attrs
[
'pool_size'
]
=
[
3
,
1
]
class
TestCase2
(
TestBase
):
def
set_attrs
(
self
):
super
().
set_attrs
()
self
.
attrs
[
'pool_stride'
]
=
2
class
TestCase2_2
(
TestBase
):
def
set_attrs
(
self
):
super
().
set_attrs
()
self
.
attrs
[
'pool_stride'
]
=
[
2
,
1
]
class
TestCase3
(
TestBase
):
def
set_attrs
(
self
):
super
().
set_attrs
()
self
.
attrs
[
'pool_padding'
]
=
[
1
,
1
]
class
TestCase3_2
(
TestBase
):
def
set_attrs
(
self
):
super
().
set_attrs
()
self
.
attrs
[
'pool_padding'
]
=
[
1
,
1
,
2
,
2
]
@
unittest
.
skip
(
'the results has a positional offset'
)
class
TestCase3_3
(
TestBase
):
def
set_attrs
(
self
):
super
().
set_attrs
()
self
.
attrs
[
'pool_padding'
]
=
[
1
,
2
,
1
,
1
]
@
unittest
.
skip
(
'paddle output has nan'
)
class
TestCase3_4
(
TestBase
):
def
set_attrs
(
self
):
super
().
set_attrs
()
self
.
attrs
[
'pool_size'
]
=
1
self
.
attrs
[
'pool_padding'
]
=
1
class
TestCase4
(
TestBase
):
def
set_attrs
(
self
):
super
().
set_attrs
()
self
.
attrs
[
'global_pooling'
]
=
True
class
TestCase5
(
TestBase
):
def
set_attrs
(
self
):
super
().
set_attrs
()
self
.
attrs
[
'ceil_mode'
]
=
True
class
TestCase6
(
TestBase
):
def
set_attrs
(
self
):
super
().
set_attrs
()
self
.
attrs
[
'exclusive'
]
=
False
if
__name__
==
"__main__"
:
unittest
.
main
()
python/paddle/fluid/tests/unittests/ipu/test_pool_max_op_ipu.py
0 → 100644
浏览文件 @
4c1e27cc
# Copyright (c) 2021 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
as
fluid
import
paddle.fluid.compiler
as
compiler
import
paddle.optimizer
import
paddle.static
from
paddle.fluid.tests.unittests.ipu.op_test_ipu
import
(
IPUOpTest
,
np_dtype_to_fluid_str
)
paddle
.
enable_static
()
@
unittest
.
skipIf
(
not
paddle
.
is_compiled_with_ipu
(),
"core is not compiled with IPU"
)
class
TestBase
(
IPUOpTest
):
def
setUp
(
self
):
self
.
set_atol
()
self
.
set_training
()
self
.
set_feed
()
self
.
set_feed_attr
()
self
.
set_attrs
()
def
set_feed
(
self
):
self
.
feed
=
{
"x"
:
np
.
random
.
uniform
(
size
=
[
1
,
3
,
10
,
10
]).
astype
(
'float32'
),
}
def
set_feed_attr
(
self
):
self
.
feed_shape
=
[
x
.
shape
for
x
in
self
.
feed
.
values
()]
self
.
feed_list
=
list
(
self
.
feed
.
keys
())
self
.
feed_dtype
=
[
np_dtype_to_fluid_str
(
x
.
dtype
)
for
x
in
self
.
feed
.
values
()
]
def
set_attrs
(
self
):
self
.
attrs
=
{
"pool_size"
:
3
,
"pool_type"
:
'max'
,
"pool_stride"
:
1
,
"pool_padding"
:
0
,
"global_pooling"
:
False
,
"ceil_mode"
:
False
,
"exclusive"
:
True
,
"data_format"
:
'NCHW'
,
}
def
_test_base
(
self
,
run_ipu
=
True
):
scope
=
fluid
.
core
.
Scope
()
main_prog
=
paddle
.
static
.
Program
()
startup_prog
=
paddle
.
static
.
Program
()
SEED
=
self
.
SEED
main_prog
.
random_seed
=
SEED
startup_prog
.
random_seed
=
SEED
with
fluid
.
scope_guard
(
scope
):
with
paddle
.
static
.
program_guard
(
main_prog
,
startup_prog
):
x
=
paddle
.
static
.
data
(
name
=
self
.
feed_list
[
0
],
shape
=
self
.
feed_shape
[
0
],
dtype
=
self
.
feed_dtype
[
0
])
out
=
paddle
.
fluid
.
layers
.
pool2d
(
x
,
**
self
.
attrs
)
fetch_list
=
[
out
.
name
]
if
run_ipu
:
place
=
paddle
.
IPUPlace
()
else
:
place
=
paddle
.
CPUPlace
()
exe
=
paddle
.
static
.
Executor
(
place
)
exe
.
run
(
startup_prog
)
if
run_ipu
:
feed_list
=
self
.
feed_list
ipu_strategy
=
compiler
.
get_ipu_strategy
()
ipu_strategy
.
is_training
=
self
.
is_training
program
=
compiler
.
IPUCompiledProgram
(
main_prog
,
ipu_strategy
=
ipu_strategy
).
compile
(
feed_list
,
fetch_list
)
else
:
program
=
main_prog
result
=
exe
.
run
(
program
,
feed
=
self
.
feed
,
fetch_list
=
fetch_list
)
return
result
[
0
]
def
test_base
(
self
):
res0
=
self
.
_test_base
(
False
)
res1
=
self
.
_test_base
(
True
)
self
.
assertTrue
(
np
.
allclose
(
res0
.
flatten
(),
res1
.
flatten
(),
atol
=
self
.
atol
))
self
.
assertTrue
(
res0
.
shape
==
res1
.
shape
)
class
TestCase1
(
TestBase
):
def
set_attrs
(
self
):
super
().
set_attrs
()
self
.
attrs
[
'pool_size'
]
=
3
class
TestCase1_2
(
TestBase
):
def
set_attrs
(
self
):
super
().
set_attrs
()
self
.
attrs
[
'pool_size'
]
=
[
3
,
1
]
class
TestCase2
(
TestBase
):
def
set_attrs
(
self
):
super
().
set_attrs
()
self
.
attrs
[
'pool_stride'
]
=
2
class
TestCase2_2
(
TestBase
):
def
set_attrs
(
self
):
super
().
set_attrs
()
self
.
attrs
[
'pool_stride'
]
=
[
2
,
1
]
class
TestCase3
(
TestBase
):
def
set_attrs
(
self
):
super
().
set_attrs
()
self
.
attrs
[
'pool_padding'
]
=
[
1
,
1
]
class
TestCase3_2
(
TestBase
):
def
set_attrs
(
self
):
super
().
set_attrs
()
self
.
attrs
[
'pool_padding'
]
=
[
1
,
1
,
2
,
2
]
@
unittest
.
skip
(
'auto_pad is not currently supported'
)
class
TestCase3_3
(
TestBase
):
def
set_attrs
(
self
):
super
().
set_attrs
()
self
.
attrs
[
'pool_padding'
]
=
'VALID'
@
unittest
.
skip
(
'auto_pad is not currently supported'
)
class
TestCase3_4
(
TestBase
):
def
set_attrs
(
self
):
super
().
set_attrs
()
self
.
attrs
[
'pool_padding'
]
=
'SAME'
class
TestCase4
(
TestBase
):
def
set_attrs
(
self
):
super
().
set_attrs
()
self
.
attrs
[
'global_pooling'
]
=
True
class
TestCase5
(
TestBase
):
def
set_attrs
(
self
):
super
().
set_attrs
()
self
.
attrs
[
'ceil_mode'
]
=
True
class
TestCase6
(
TestBase
):
def
set_attrs
(
self
):
super
().
set_attrs
()
self
.
attrs
[
'exclusive'
]
=
False
if
__name__
==
"__main__"
:
unittest
.
main
()
python/paddle/fluid/tests/unittests/ipu/test_pow_op_ipu.py
0 → 100644
浏览文件 @
4c1e27cc
# Copyright (c) 2021 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
as
fluid
import
paddle.fluid.compiler
as
compiler
import
paddle.optimizer
import
paddle.static
from
paddle.fluid.tests.unittests.ipu.op_test_ipu
import
(
IPUOpTest
,
np_dtype_to_fluid_str
)
paddle
.
enable_static
()
@
unittest
.
skipIf
(
not
paddle
.
is_compiled_with_ipu
(),
"core is not compiled with IPU"
)
class
TestBase
(
IPUOpTest
):
def
setUp
(
self
):
self
.
set_atol
()
self
.
set_training
()
self
.
set_feed
()
self
.
set_feed_attr
()
self
.
set_attrs
()
def
set_feed
(
self
):
self
.
feed
=
{
"x"
:
np
.
random
.
uniform
(
size
=
[
1
,
3
,
2
,
2
]).
astype
(
'float32'
),
}
def
set_feed_attr
(
self
):
self
.
feed_shape
=
[
x
.
shape
for
x
in
self
.
feed
.
values
()]
self
.
feed_list
=
list
(
self
.
feed
.
keys
())
self
.
feed_dtype
=
[
np_dtype_to_fluid_str
(
x
.
dtype
)
for
x
in
self
.
feed
.
values
()
]
def
set_attrs
(
self
):
self
.
attrs
=
{
"factor"
:
2.0
}
def
_test_base
(
self
,
run_ipu
=
True
):
scope
=
fluid
.
core
.
Scope
()
main_prog
=
paddle
.
static
.
Program
()
startup_prog
=
paddle
.
static
.
Program
()
SEED
=
self
.
SEED
main_prog
.
random_seed
=
SEED
startup_prog
.
random_seed
=
SEED
with
fluid
.
scope_guard
(
scope
):
with
paddle
.
static
.
program_guard
(
main_prog
,
startup_prog
):
x
=
paddle
.
static
.
data
(
name
=
self
.
feed_list
[
0
],
shape
=
self
.
feed_shape
[
0
],
dtype
=
self
.
feed_dtype
[
0
])
out
=
paddle
.
fluid
.
layers
.
pow
(
x
,
**
self
.
attrs
)
fetch_list
=
[
out
.
name
]
if
run_ipu
:
place
=
paddle
.
IPUPlace
()
else
:
place
=
paddle
.
CPUPlace
()
exe
=
paddle
.
static
.
Executor
(
place
)
exe
.
run
(
startup_prog
)
if
run_ipu
:
feed_list
=
self
.
feed_list
ipu_strategy
=
compiler
.
get_ipu_strategy
()
ipu_strategy
.
is_training
=
self
.
is_training
program
=
compiler
.
IPUCompiledProgram
(
main_prog
,
ipu_strategy
=
ipu_strategy
).
compile
(
feed_list
,
fetch_list
)
else
:
program
=
main_prog
result
=
exe
.
run
(
program
,
feed
=
self
.
feed
,
fetch_list
=
fetch_list
)
return
result
[
0
]
def
test_base
(
self
):
res0
=
self
.
_test_base
(
False
)
res1
=
self
.
_test_base
(
True
)
self
.
assertTrue
(
np
.
allclose
(
res0
.
flatten
(),
res1
.
flatten
(),
atol
=
self
.
atol
))
self
.
assertTrue
(
res0
.
shape
==
res1
.
shape
)
class
TestCase1
(
TestBase
):
def
set_feed
(
self
):
self
.
feed
=
{
"x"
:
np
.
random
.
uniform
(
size
=
[
1
,
3
,
2
,
2
]).
astype
(
'float32'
),
"y"
:
np
.
array
([
2.0
]).
astype
(
'float32'
),
}
def
set_attrs
(
self
):
self
.
attrs
=
{}
def
_test_base
(
self
,
run_ipu
=
True
):
scope
=
fluid
.
core
.
Scope
()
main_prog
=
paddle
.
static
.
Program
()
startup_prog
=
paddle
.
static
.
Program
()
SEED
=
self
.
SEED
main_prog
.
random_seed
=
SEED
startup_prog
.
random_seed
=
SEED
with
fluid
.
scope_guard
(
scope
):
with
paddle
.
static
.
program_guard
(
main_prog
,
startup_prog
):
x
=
paddle
.
static
.
data
(
name
=
self
.
feed_list
[
0
],
shape
=
self
.
feed_shape
[
0
],
dtype
=
self
.
feed_dtype
[
0
])
factor
=
paddle
.
static
.
data
(
name
=
self
.
feed_list
[
1
],
shape
=
self
.
feed_shape
[
1
],
dtype
=
self
.
feed_dtype
[
1
])
out
=
paddle
.
fluid
.
layers
.
pow
(
x
,
factor
=
factor
,
**
self
.
attrs
)
fetch_list
=
[
out
.
name
]
if
run_ipu
:
place
=
paddle
.
IPUPlace
()
else
:
place
=
paddle
.
CPUPlace
()
exe
=
paddle
.
static
.
Executor
(
place
)
exe
.
run
(
startup_prog
)
if
run_ipu
:
feed_list
=
self
.
feed_list
ipu_strategy
=
compiler
.
get_ipu_strategy
()
ipu_strategy
.
is_training
=
self
.
is_training
program
=
compiler
.
IPUCompiledProgram
(
main_prog
,
ipu_strategy
=
ipu_strategy
).
compile
(
feed_list
,
fetch_list
)
else
:
program
=
main_prog
result
=
exe
.
run
(
program
,
feed
=
self
.
feed
,
fetch_list
=
fetch_list
)
return
result
[
0
]
if
__name__
==
"__main__"
:
unittest
.
main
()
python/paddle/fluid/tests/unittests/ipu/test_reduce_x_op_ipu.py
0 → 100644
浏览文件 @
4c1e27cc
# Copyright (c) 2021 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
as
fluid
import
paddle.fluid.compiler
as
compiler
import
paddle.optimizer
import
paddle.static
from
paddle.fluid.tests.unittests.ipu.op_test_ipu
import
(
IPUOpTest
,
np_dtype_to_fluid_str
)
paddle
.
enable_static
()
@
unittest
.
skipIf
(
not
paddle
.
is_compiled_with_ipu
(),
"core is not compiled with IPU"
)
class
TestMean
(
IPUOpTest
):
def
setUp
(
self
):
self
.
set_atol
()
self
.
set_training
()
self
.
init_op
()
def
init_op
(
self
):
self
.
op
=
paddle
.
fluid
.
layers
.
reduce_mean
def
set_feed_attr
(
self
):
self
.
feed_shape
=
[
x
.
shape
for
x
in
self
.
feed
.
values
()]
self
.
feed_list
=
list
(
self
.
feed
.
keys
())
self
.
feed_dtype
=
[
np_dtype_to_fluid_str
(
x
.
dtype
)
for
x
in
self
.
feed
.
values
()
]
def
_test_base
(
self
,
run_ipu
=
True
):
scope
=
fluid
.
core
.
Scope
()
main_prog
=
paddle
.
static
.
Program
()
startup_prog
=
paddle
.
static
.
Program
()
SEED
=
self
.
SEED
main_prog
.
random_seed
=
SEED
startup_prog
.
random_seed
=
SEED
with
fluid
.
scope_guard
(
scope
):
with
paddle
.
static
.
program_guard
(
main_prog
,
startup_prog
):
x
=
paddle
.
static
.
data
(
name
=
self
.
feed_list
[
0
],
shape
=
self
.
feed_shape
[
0
],
dtype
=
'float32'
)
out
=
self
.
op
(
x
,
**
self
.
attrs
)
fetch_list
=
[
out
.
name
]
if
run_ipu
:
place
=
paddle
.
IPUPlace
()
else
:
place
=
paddle
.
CPUPlace
()
exe
=
paddle
.
static
.
Executor
(
place
)
exe
.
run
(
startup_prog
)
if
run_ipu
:
feed_list
=
self
.
feed_list
ipu_strategy
=
compiler
.
get_ipu_strategy
()
ipu_strategy
.
is_training
=
self
.
is_training
program
=
compiler
.
IPUCompiledProgram
(
main_prog
,
ipu_strategy
=
ipu_strategy
).
compile
(
feed_list
,
fetch_list
)
else
:
program
=
main_prog
result
=
exe
.
run
(
program
,
feed
=
self
.
feed
,
fetch_list
=
fetch_list
)
return
result
[
0
]
def
run_test_base
(
self
):
res0
=
self
.
_test_base
(
True
)
res1
=
self
.
_test_base
(
False
)
self
.
assertTrue
(
np
.
allclose
(
res0
.
flatten
(),
res1
.
flatten
(),
atol
=
self
.
atol
))
def
set_feed0
(
self
):
self
.
feed
=
{}
self
.
feed
[
"in_0"
]
=
np
.
random
.
uniform
(
size
=
[
2
,
4
]).
astype
(
np
.
float32
)
self
.
set_feed_attr
()
def
set_feed1
(
self
):
self
.
feed
=
{}
self
.
feed
[
"in_0"
]
=
np
.
random
.
uniform
(
size
=
[
2
,
2
,
2
]).
astype
(
np
.
float32
)
self
.
set_feed_attr
()
def
set_attr0
(
self
):
self
.
attrs
=
{}
self
.
attrs
[
'dim'
]
=
None
self
.
attrs
[
'keep_dim'
]
=
False
def
test_case0
(
self
):
self
.
set_feed0
()
self
.
set_attr0
()
self
.
run_test_base
()
def
test_case1
(
self
):
self
.
set_feed0
()
self
.
set_attr0
()
self
.
attrs
[
'dim'
]
=
0
self
.
run_test_base
()
def
test_case2
(
self
):
self
.
set_feed0
()
self
.
set_attr0
()
self
.
attrs
[
'dim'
]
=
-
1
self
.
run_test_base
()
def
test_case3
(
self
):
self
.
set_feed0
()
self
.
set_attr0
()
self
.
attrs
[
'dim'
]
=
1
self
.
run_test_base
()
def
test_case4
(
self
):
self
.
set_feed0
()
self
.
attrs
=
{}
self
.
attrs
[
'dim'
]
=
1
self
.
attrs
[
'keep_dim'
]
=
True
self
.
run_test_base
()
def
test_case5
(
self
):
self
.
set_feed1
()
self
.
attrs
=
{}
self
.
attrs
[
'dim'
]
=
[
1
,
2
]
self
.
attrs
[
'keep_dim'
]
=
False
self
.
run_test_base
()
def
test_case6
(
self
):
self
.
set_feed1
()
self
.
attrs
=
{}
self
.
attrs
[
'dim'
]
=
[
0
,
1
]
self
.
attrs
[
'keep_dim'
]
=
False
self
.
run_test_base
()
def
test_case7
(
self
):
self
.
set_feed1
()
self
.
attrs
=
{}
self
.
attrs
[
'dim'
]
=
[
0
,
1
]
self
.
attrs
[
'keep_dim'
]
=
True
self
.
run_test_base
()
class
TestMax
(
TestMean
):
def
init_op
(
self
):
self
.
op
=
paddle
.
fluid
.
layers
.
reduce_max
class
TestMin
(
TestMean
):
def
init_op
(
self
):
self
.
op
=
paddle
.
fluid
.
layers
.
reduce_min
class
TestProd
(
TestMean
):
def
init_op
(
self
):
self
.
op
=
paddle
.
fluid
.
layers
.
reduce_prod
class
TestSum
(
TestMean
):
def
init_op
(
self
):
self
.
op
=
paddle
.
fluid
.
layers
.
reduce_sum
if
__name__
==
"__main__"
:
unittest
.
main
()
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