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568c4e5e
编写于
6月 08, 2018
作者:
S
sneaxiy
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recommit using account sneaxiy
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9 changed file
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+483
-0
paddle/fluid/operators/arg_max_op.cc
paddle/fluid/operators/arg_max_op.cc
+40
-0
paddle/fluid/operators/arg_max_op.cu
paddle/fluid/operators/arg_max_op.cu
+34
-0
paddle/fluid/operators/arg_max_op.h
paddle/fluid/operators/arg_max_op.h
+16
-0
paddle/fluid/operators/arg_min_max_op_base.h
paddle/fluid/operators/arg_min_max_op_base.h
+157
-0
paddle/fluid/operators/arg_min_op.cc
paddle/fluid/operators/arg_min_op.cc
+40
-0
paddle/fluid/operators/arg_min_op.cu
paddle/fluid/operators/arg_min_op.cu
+34
-0
paddle/fluid/operators/arg_min_op.h
paddle/fluid/operators/arg_min_op.h
+16
-0
python/paddle/fluid/layers/tensor.py
python/paddle/fluid/layers/tensor.py
+64
-0
python/paddle/fluid/tests/unittests/test_arg_min_max_op.py
python/paddle/fluid/tests/unittests/test_arg_min_max_op.py
+82
-0
未找到文件。
paddle/fluid/operators/arg_max_op.cc
0 → 100644
浏览文件 @
568c4e5e
/* 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. */
#include "paddle/fluid/operators/arg_max_op.h"
/*
REGISTER_ARG_MINMAX_OP_WITHOUT_GRADIENT(arg_max, ArgMax);
REGISTER_ARG_MINMAX_KERNEL(arg_max, ArgMax, CPU);
*/
REGISTER_OPERATOR
(
arg_max
,
paddle
::
operators
::
ArgMaxOp
,
paddle
::
operators
::
ArgMaxOpMaker
,
paddle
::
framework
::
EmptyGradOpMaker
);
REGISTER_OP_CPU_KERNEL
(
arg_max
,
paddle
::
operators
::
ArgMaxKernel
<
paddle
::
platform
::
CPUDeviceContext
,
float
,
int64_t
>
,
paddle
::
operators
::
ArgMaxKernel
<
paddle
::
platform
::
CPUDeviceContext
,
double
,
int64_t
>
,
paddle
::
operators
::
ArgMaxKernel
<
paddle
::
platform
::
CPUDeviceContext
,
int64_t
,
int64_t
>
,
paddle
::
operators
::
ArgMaxKernel
<
paddle
::
platform
::
CPUDeviceContext
,
int32_t
,
int64_t
>
,
paddle
::
operators
::
ArgMaxKernel
<
paddle
::
platform
::
CPUDeviceContext
,
int16_t
,
int64_t
>
,
paddle
::
operators
::
ArgMaxKernel
<
paddle
::
platform
::
CPUDeviceContext
,
size_t
,
int64_t
>
,
paddle
::
operators
::
ArgMaxKernel
<
paddle
::
platform
::
CPUDeviceContext
,
uint8_t
,
int64_t
>
);
paddle/fluid/operators/arg_max_op.cu
0 → 100644
浏览文件 @
568c4e5e
/* 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. */
#include "paddle/fluid/operators/arg_max_op.h"
// REGISTER_ARG_MINMAX_KERNEL(arg_max, ArgMax, CUDA);
REGISTER_OP_CUDA_KERNEL
(
arg_max
,
paddle
::
operators
::
ArgMaxKernel
<
paddle
::
platform
::
CUDADeviceContext
,
float
,
int64_t
>
,
paddle
::
operators
::
ArgMaxKernel
<
paddle
::
platform
::
CUDADeviceContext
,
double
,
int64_t
>
,
paddle
::
operators
::
ArgMaxKernel
<
paddle
::
platform
::
CUDADeviceContext
,
int64_t
,
int64_t
>
,
paddle
::
operators
::
ArgMaxKernel
<
paddle
::
platform
::
CUDADeviceContext
,
int32_t
,
int64_t
>
,
paddle
::
operators
::
ArgMaxKernel
<
paddle
::
platform
::
CUDADeviceContext
,
int16_t
,
int64_t
>
,
paddle
::
operators
::
ArgMaxKernel
<
paddle
::
platform
::
CUDADeviceContext
,
size_t
,
int64_t
>
,
paddle
::
operators
::
ArgMaxKernel
<
paddle
::
platform
::
CUDADeviceContext
,
uint8_t
,
int64_t
>
);
paddle/fluid/operators/arg_max_op.h
0 → 100644
浏览文件 @
568c4e5e
/* 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. */
#pragma once
#include "paddle/fluid/operators/arg_min_max_op_base.h"
paddle/fluid/operators/arg_min_max_op_base.h
0 → 100644
浏览文件 @
568c4e5e
/* 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. */
#pragma once
#include <type_traits>
#include <vector>
#include "paddle/fluid/framework/ddim.h"
#include "paddle/fluid/framework/eigen.h"
#include "paddle/fluid/framework/lod_tensor.h"
#include "paddle/fluid/framework/op_registry.h"
#include "paddle/fluid/framework/operator.h"
#include "paddle/fluid/platform/enforce.h"
#include "paddle/fluid/string/printf.h"
namespace
paddle
{
namespace
operators
{
enum
ArgMinMaxType
{
kArgMin
,
kArgMax
};
template
<
typename
DeviceContext
,
typename
T
,
typename
Tout
,
int64_t
Rank
,
ArgMinMaxType
argMinMaxValue
>
struct
ArgMinMaxFunctor
{};
#define DECLARE_ARG_MIN_MAX_FUNCTOR(eigen_op_type, enum_argminmax_value) \
template <typename DeviceContext, typename T, typename Tout, int64_t Rank> \
struct ArgMinMaxFunctor<DeviceContext, T, Tout, Rank, \
enum_argminmax_value> { \
void operator()(const DeviceContext& ctx, const framework::LoDTensor& in, \
framework::LoDTensor& out, int64_t axis) { \
auto in_eigen = framework::EigenTensor<T, Rank>::From(in); \
auto out_eigen = framework::EigenTensor<Tout, Rank - 1>::From(out); \
out_eigen.device(*(ctx.eigen_device())) = \
in_eigen.eigen_op_type(axis).template cast<Tout>(); \
} \
}
DECLARE_ARG_MIN_MAX_FUNCTOR
(
argmin
,
ArgMinMaxType
::
kArgMin
);
DECLARE_ARG_MIN_MAX_FUNCTOR
(
argmax
,
ArgMinMaxType
::
kArgMax
);
template
<
typename
DeviceContext
,
typename
T
,
typename
Tout
,
ArgMinMaxType
EnumArgMinMaxValue
>
class
ArgMinMaxKernel
:
public
framework
::
OpKernel
<
T
>
{
public:
void
Compute
(
const
framework
::
ExecutionContext
&
ctx
)
const
override
{
auto
&
x
=
*
(
ctx
.
Input
<
framework
::
LoDTensor
>
(
"X"
));
auto
&
out
=
*
(
ctx
.
Output
<
framework
::
LoDTensor
>
(
"Out"
));
out
.
mutable_data
<
Tout
>
(
ctx
.
GetPlace
());
auto
axis
=
ctx
.
Attr
<
int64_t
>
(
"axis"
);
auto
&
dev_ctx
=
ctx
.
template
device_context
<
DeviceContext
>();
#define CALL_ARG_MINMAX_FUNCTOR(rank) \
ArgMinMaxFunctor<DeviceContext, T, Tout, rank, EnumArgMinMaxValue> \
functor##rank; \
functor##rank(dev_ctx, x, out, axis)
switch
(
x
.
dims
().
size
())
{
case
1
:
CALL_ARG_MINMAX_FUNCTOR
(
1
);
break
;
case
2
:
CALL_ARG_MINMAX_FUNCTOR
(
2
);
break
;
case
3
:
CALL_ARG_MINMAX_FUNCTOR
(
3
);
break
;
case
4
:
CALL_ARG_MINMAX_FUNCTOR
(
4
);
break
;
case
5
:
CALL_ARG_MINMAX_FUNCTOR
(
5
);
break
;
case
6
:
CALL_ARG_MINMAX_FUNCTOR
(
6
);
break
;
default:
PADDLE_THROW
(
"%s operator doesn't supports tensors whose ranks are greater "
"than 6."
,
(
EnumArgMinMaxValue
==
kArgMin
?
"argmin"
:
"argmax"
));
break
;
}
}
};
template
<
typename
DeviceContext
,
typename
T
,
typename
Tout
>
using
ArgMinKernel
=
ArgMinMaxKernel
<
DeviceContext
,
T
,
Tout
,
ArgMinMaxType
::
kArgMin
>
;
template
<
typename
DeviceContext
,
typename
T
,
typename
Tout
>
using
ArgMaxKernel
=
ArgMinMaxKernel
<
DeviceContext
,
T
,
Tout
,
ArgMinMaxType
::
kArgMax
>
;
typedef
class
BaseArgMinMaxOp
:
public
framework
::
OperatorWithKernel
{
public:
using
framework
::
OperatorWithKernel
::
OperatorWithKernel
;
void
InferShape
(
framework
::
InferShapeContext
*
ctx
)
const
override
{
PADDLE_ENFORCE
(
ctx
->
HasInput
(
"X"
),
"Input(X) should not be null"
);
PADDLE_ENFORCE
(
ctx
->
HasOutput
(
"Out"
),
"Output(Out) should not be null"
);
const
auto
&
x_dims
=
ctx
->
GetInputDim
(
"X"
);
int64_t
axis
=
ctx
->
Attrs
().
Get
<
int64_t
>
(
"axis"
);
PADDLE_ENFORCE
(
axis
>=
-
x_dims
.
size
()
&&
axis
<
x_dims
.
size
(),
"'axis' must be inside [-Rank(X), Rank(X))"
);
auto
x_rank
=
x_dims
.
size
();
if
(
axis
<
0
)
axis
+=
x_rank
;
std
::
vector
<
int64_t
>
vec
;
for
(
int64_t
i
=
0
;
i
<
axis
;
i
++
)
vec
.
push_back
(
x_dims
[
i
]);
for
(
int64_t
i
=
axis
+
1
;
i
<
x_rank
;
i
++
)
vec
.
push_back
(
x_dims
[
i
]);
ctx
->
SetOutputDim
(
"Out"
,
framework
::
make_ddim
(
vec
));
}
}
ArgMinOp
,
ArgMaxOp
;
class
BaseArgMinMaxOpMaker
:
public
framework
::
OpProtoAndCheckerMaker
{
protected:
virtual
const
char
*
OpName
()
const
=
0
;
virtual
const
char
*
Name
()
const
=
0
;
public:
void
Make
()
override
{
AddInput
(
"X"
,
"Input tensor."
);
AddOutput
(
"Out"
,
"Output tensor."
);
AddAttr
<
int64_t
>
(
"axis"
,
"The axis in which to compute the arg indics."
);
AddComment
(
::
paddle
::
string
::
Sprintf
(
R"DOC(
%s Operator.
Computes the indices of the %s elements of the input tensor's element along the provided axis.
)DOC"
,
OpName
(),
Name
()));
}
};
class
ArgMinOpMaker
:
public
BaseArgMinMaxOpMaker
{
protected:
const
char
*
OpName
()
const
override
{
return
"ArgMin"
;
}
const
char
*
Name
()
const
override
{
return
"min"
;
}
};
class
ArgMaxOpMaker
:
public
BaseArgMinMaxOpMaker
{
protected:
const
char
*
OpName
()
const
override
{
return
"ArgMax"
;
}
const
char
*
Name
()
const
override
{
return
"max"
;
}
};
}
// namespace operators
}
// namespace paddle
paddle/fluid/operators/arg_min_op.cc
0 → 100644
浏览文件 @
568c4e5e
/* 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. */
#include "paddle/fluid/operators/arg_min_op.h"
/*
REGISTER_ARG_MINMAX_OP_WITHOUT_GRADIENT(arg_min, ArgMin);
REGISTER_ARG_MINMAX_KERNEL(arg_min, ArgMin, CPU);
*/
REGISTER_OPERATOR
(
arg_min
,
paddle
::
operators
::
ArgMinOp
,
paddle
::
operators
::
ArgMinOpMaker
,
paddle
::
framework
::
EmptyGradOpMaker
);
REGISTER_OP_CPU_KERNEL
(
arg_min
,
paddle
::
operators
::
ArgMinKernel
<
paddle
::
platform
::
CPUDeviceContext
,
float
,
int64_t
>
,
paddle
::
operators
::
ArgMinKernel
<
paddle
::
platform
::
CPUDeviceContext
,
double
,
int64_t
>
,
paddle
::
operators
::
ArgMinKernel
<
paddle
::
platform
::
CPUDeviceContext
,
int64_t
,
int64_t
>
,
paddle
::
operators
::
ArgMinKernel
<
paddle
::
platform
::
CPUDeviceContext
,
int32_t
,
int64_t
>
,
paddle
::
operators
::
ArgMinKernel
<
paddle
::
platform
::
CPUDeviceContext
,
int16_t
,
int64_t
>
,
paddle
::
operators
::
ArgMinKernel
<
paddle
::
platform
::
CPUDeviceContext
,
size_t
,
int64_t
>
,
paddle
::
operators
::
ArgMinKernel
<
paddle
::
platform
::
CPUDeviceContext
,
uint8_t
,
int64_t
>
);
paddle/fluid/operators/arg_min_op.cu
0 → 100644
浏览文件 @
568c4e5e
/* 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. */
#include "paddle/fluid/operators/arg_min_op.h"
// REGISTER_ARG_MINMAX_KERNEL(arg_min, ArgMin, CUDA);
REGISTER_OP_CUDA_KERNEL
(
arg_min
,
paddle
::
operators
::
ArgMinKernel
<
paddle
::
platform
::
CUDADeviceContext
,
float
,
int64_t
>
,
paddle
::
operators
::
ArgMinKernel
<
paddle
::
platform
::
CUDADeviceContext
,
double
,
int64_t
>
,
paddle
::
operators
::
ArgMinKernel
<
paddle
::
platform
::
CUDADeviceContext
,
int64_t
,
int64_t
>
,
paddle
::
operators
::
ArgMinKernel
<
paddle
::
platform
::
CUDADeviceContext
,
int32_t
,
int64_t
>
,
paddle
::
operators
::
ArgMinKernel
<
paddle
::
platform
::
CUDADeviceContext
,
int16_t
,
int64_t
>
,
paddle
::
operators
::
ArgMinKernel
<
paddle
::
platform
::
CUDADeviceContext
,
size_t
,
int64_t
>
,
paddle
::
operators
::
ArgMinKernel
<
paddle
::
platform
::
CUDADeviceContext
,
uint8_t
,
int64_t
>
);
paddle/fluid/operators/arg_min_op.h
0 → 100644
浏览文件 @
568c4e5e
/* 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. */
#pragma once
#include "paddle/fluid/operators/arg_min_max_op_base.h"
python/paddle/fluid/layers/tensor.py
浏览文件 @
568c4e5e
...
@@ -30,6 +30,8 @@ __all__ = [
...
@@ -30,6 +30,8 @@ __all__ = [
'assign'
,
'assign'
,
'fill_constant_batch_size_like'
,
'fill_constant_batch_size_like'
,
'fill_constant'
,
'fill_constant'
,
'argmin'
,
'argmax'
,
'ones'
,
'ones'
,
'zeros'
,
'zeros'
,
]
]
...
@@ -315,6 +317,68 @@ def fill_constant_batch_size_like(input,
...
@@ -315,6 +317,68 @@ def fill_constant_batch_size_like(input,
return
out
return
out
def
argmin
(
x
,
axis
=
0
):
"""
**argmin**
This function computes the indices of the min elements
of the input tensor's element along the provided axis.
Args:
x(Variable): The input to compute the indices of
the min elements.
axis(int): Axis to compute indices along.
Returns:
Variable: The tensor variable storing the output
Examples:
.. code-block:: python
out = fluid.layers.argmin(x=in, axis=0)
out = fluid.layers.argmin(x=in, axis=-1)
"""
helper
=
LayerHelper
(
"arg_min"
,
**
locals
())
out
=
helper
.
create_tmp_variable
(
VarDesc
.
VarType
.
INT64
)
helper
.
append_op
(
type
=
'arg_min'
,
inputs
=
{
'X'
:
x
},
outputs
=
{
'Out'
:
[
out
]},
attrs
=
{
'axis'
:
axis
})
return
out
def
argmax
(
x
,
axis
=
0
):
"""
**argmax**
This function computes the indices of the max elements
of the input tensor's element along the provided axis.
Args:
x(Variable): The input to compute the indices of
the max elements.
axis(int): Axis to compute indices along.
Returns:
Variable: The tensor variable storing the output
Examples:
.. code-block:: python
out = fluid.layers.argmax(x=in, axis=0)
out = fluid.layers.argmax(x=in, axis=-1)
"""
helper
=
LayerHelper
(
"arg_max"
,
**
locals
())
out
=
helper
.
create_tmp_variable
(
VarDesc
.
VarType
.
INT64
)
helper
.
append_op
(
type
=
'arg_max'
,
inputs
=
{
'X'
:
x
},
outputs
=
{
'Out'
:
[
out
]},
attrs
=
{
'axis'
:
axis
})
return
out
def
ones
(
shape
,
dtype
,
force_cpu
=
False
):
def
ones
(
shape
,
dtype
,
force_cpu
=
False
):
"""
"""
**ones**
**ones**
...
...
python/paddle/fluid/tests/unittests/test_arg_min_max_op.py
0 → 100644
浏览文件 @
568c4e5e
# 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
from
op_test
import
OpTest
class
BaseTestCase
(
OpTest
):
def
initTestCase
(
self
):
self
.
op_type
=
'arg_min'
self
.
dims
=
(
3
,
4
,
5
)
self
.
dtype
=
'float32'
self
.
axis
=
0
def
setUp
(
self
):
self
.
initTestCase
()
self
.
x
=
(
1000
*
np
.
random
.
random
(
self
.
dims
)).
astype
(
self
.
dtype
)
self
.
inputs
=
{
'X'
:
self
.
x
}
self
.
attrs
=
{
'axis'
:
self
.
axis
}
if
self
.
op_type
==
"arg_min"
:
self
.
outputs
=
{
'Out'
:
np
.
argmin
(
self
.
x
,
axis
=
self
.
axis
)}
else
:
self
.
outputs
=
{
'Out'
:
np
.
argmax
(
self
.
x
,
axis
=
self
.
axis
)}
def
test_check_output
(
self
):
self
.
check_output
()
class
TestCase0
(
BaseTestCase
):
def
initTestCase
(
self
):
self
.
op_type
=
'arg_max'
self
.
dims
=
(
3
,
4
,
5
)
self
.
dtype
=
'float32'
self
.
axis
=
0
class
TestCase1
(
BaseTestCase
):
def
initTestCase
(
self
):
self
.
op_type
=
'arg_min'
self
.
dims
=
(
3
,
4
)
self
.
dtype
=
'float64'
self
.
axis
=
1
class
TestCase2
(
BaseTestCase
):
def
initTestCase
(
self
):
self
.
op_type
=
'arg_max'
self
.
dims
=
(
3
,
4
)
self
.
dtype
=
'int64'
self
.
axis
=
0
class
TestCase3
(
BaseTestCase
):
def
initTestCase
(
self
):
self
.
op_type
=
'arg_max'
self
.
dims
=
(
3
,
)
self
.
dtype
=
'int64'
self
.
axis
=
0
class
TestCase4
(
BaseTestCase
):
def
initTestCase
(
self
):
self
.
op_type
=
'arg_min'
self
.
dims
=
(
1
,
)
self
.
dtype
=
'int32'
self
.
axis
=
0
if
__name__
==
'__main__'
:
unittest
.
main
()
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