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体验新版 GitCode,发现更多精彩内容 >>
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01888482
编写于
9月 13, 2022
作者:
J
JingZhuangzhuang
提交者:
GitHub
9月 13, 2022
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电子邮件补丁
差异文件
add softmax infer kernel (#45955)
* add softmax infer kernel
上级
945b286b
变更
6
隐藏空白更改
内联
并排
Showing
6 changed file
with
88 addition
and
25 deletion
+88
-25
paddle/fluid/framework/ir/is_test_pass.cc
paddle/fluid/framework/ir/is_test_pass.cc
+12
-11
paddle/phi/kernels/cpu/gumbel_softmax_kernel.cc
paddle/phi/kernels/cpu/gumbel_softmax_kernel.cc
+7
-0
paddle/phi/kernels/gpu/gumbel_softmax_kernel.cu
paddle/phi/kernels/gpu/gumbel_softmax_kernel.cu
+7
-0
paddle/phi/kernels/gumbel_softmax_kernel.h
paddle/phi/kernels/gumbel_softmax_kernel.h
+8
-0
paddle/phi/kernels/impl/gumbel_softmax_kernel_impl.h
paddle/phi/kernels/impl/gumbel_softmax_kernel_impl.h
+36
-14
paddle/phi/ops/compat/gumbel_softmax_sig.cc
paddle/phi/ops/compat/gumbel_softmax_sig.cc
+18
-0
未找到文件。
paddle/fluid/framework/ir/is_test_pass.cc
浏览文件 @
01888482
...
...
@@ -25,17 +25,18 @@ class Graph;
void
IsTestPass
::
ApplyImpl
(
ir
::
Graph
*
graph
)
const
{
VLOG
(
3
)
<<
"Sets is_test attrbiute to true and if it is missing, inserts it "
"for activations and pooling."
;
auto
op_list
=
{
"pool2d"
,
"sigmoid"
,
"logsigmoid"
,
"softshrink"
,
"exp"
,
"brelu"
,
"pow"
,
"leaky_relu"
,
"stanh"
,
"relu"
,
"tanh"
,
"tanh_shrink"
,
"sqrt"
,
"abs"
,
"ceil"
,
"elu"
,
"floor"
,
"cos"
,
"sin"
,
"round"
,
"reciprocal"
,
"hard_shrink"
,
"hard_sigmoid"
,
"relu6"
,
"soft_relu"
,
"swish"
,
"thresholded_relu"
,
"log"
,
"square"
,
"softplus"
,
"softsign"
,
"silu"
,
"mish"
};
auto
op_list
=
{
"pool2d"
,
"sigmoid"
,
"logsigmoid"
,
"softshrink"
,
"exp"
,
"brelu"
,
"pow"
,
"leaky_relu"
,
"stanh"
,
"relu"
,
"tanh"
,
"tanh_shrink"
,
"sqrt"
,
"abs"
,
"ceil"
,
"elu"
,
"floor"
,
"cos"
,
"sin"
,
"round"
,
"reciprocal"
,
"hard_shrink"
,
"hard_sigmoid"
,
"relu6"
,
"soft_relu"
,
"swish"
,
"thresholded_relu"
,
"log"
,
"square"
,
"softplus"
,
"softsign"
,
"silu"
,
"mish"
,
"gumbel_softmax"
};
for
(
const
Node
*
n
:
graph
->
Nodes
())
{
if
(
n
->
IsOp
())
{
auto
*
op
=
n
->
Op
();
...
...
paddle/phi/kernels/cpu/gumbel_softmax_kernel.cc
浏览文件 @
01888482
...
...
@@ -119,3 +119,10 @@ struct OneHotGenerator<CPUContext, T> {
PD_REGISTER_KERNEL
(
gumbel_softmax
,
CPU
,
ALL_LAYOUT
,
phi
::
GumbelSoftmaxKernel
,
float
,
double
)
{}
PD_REGISTER_KERNEL
(
gumbel_softmax_infer
,
CPU
,
ALL_LAYOUT
,
phi
::
GumbelSoftmaxInferKernel
,
float
,
double
)
{}
paddle/phi/kernels/gpu/gumbel_softmax_kernel.cu
浏览文件 @
01888482
...
...
@@ -170,3 +170,10 @@ struct GumbleNoiseGenerator<GPUContext, T> {
PD_REGISTER_KERNEL
(
gumbel_softmax
,
GPU
,
ALL_LAYOUT
,
phi
::
GumbelSoftmaxKernel
,
float
,
double
)
{}
PD_REGISTER_KERNEL
(
gumbel_softmax_infer
,
GPU
,
ALL_LAYOUT
,
phi
::
GumbelSoftmaxInferKernel
,
float
,
double
)
{}
paddle/phi/kernels/gumbel_softmax_kernel.h
浏览文件 @
01888482
...
...
@@ -25,4 +25,12 @@ void GumbelSoftmaxKernel(const Context& dev_ctx,
int
axis
,
DenseTensor
*
out
);
template
<
typename
T
,
typename
Context
>
void
GumbelSoftmaxInferKernel
(
const
Context
&
dev_ctx
,
const
DenseTensor
&
x
,
float
temperature
,
bool
hard
,
int
axis
,
DenseTensor
*
out
);
}
// namespace phi
paddle/phi/kernels/impl/gumbel_softmax_kernel_impl.h
浏览文件 @
01888482
...
...
@@ -43,12 +43,13 @@ template <typename Context, typename T>
struct
OneHotGenerator
;
template
<
typename
T
,
typename
Context
>
void
GumbelSoftmaxKernel
(
const
Context
&
ctx
,
const
DenseTensor
&
x
,
float
temperature
,
bool
hard
,
int
axis
,
DenseTensor
*
out
)
{
void
GumbelSoftmaxKernelHelper
(
const
Context
&
ctx
,
const
DenseTensor
&
x
,
float
temperature
,
bool
hard
,
int
axis
,
DenseTensor
*
out
,
bool
is_test
)
{
const
int
rank
=
x
.
dims
().
size
();
axis
=
funcs
::
CanonicalAxis
(
axis
,
rank
);
int
axis_dim
=
x
.
dims
()[
axis
];
...
...
@@ -80,18 +81,39 @@ void GumbelSoftmaxKernel(const Context& ctx,
size_to_axis
,
size_from_axis
,
temperature
);
#ifdef PADDLE_ON_INFERENCE
paddle
::
operators
::
math
::
SoftmaxFunctor
<
Context
,
T
,
true
>
()(
ctx
,
axis_dim
,
&
x_noise_2d
,
&
out_2d
);
#else
paddle
::
operators
::
math
::
SoftmaxFunctor
<
Context
,
T
,
false
>
()(
ctx
,
axis_dim
,
&
x_noise_2d
,
&
out_2d
);
#endif
if
(
is_test
)
{
paddle
::
operators
::
math
::
SoftmaxFunctor
<
Context
,
T
,
true
>
()(
ctx
,
axis_dim
,
&
x_noise_2d
,
&
out_2d
);
}
else
{
paddle
::
operators
::
math
::
SoftmaxFunctor
<
Context
,
T
,
false
>
()(
ctx
,
axis_dim
,
&
x_noise_2d
,
&
out_2d
);
}
if
(
hard
)
{
OneHotGenerator
<
Context
,
T
>::
Transform
(
ctx
,
x
,
out
,
axis
);
}
}
template
<
typename
T
,
typename
Context
>
void
GumbelSoftmaxKernel
(
const
Context
&
ctx
,
const
DenseTensor
&
x
,
float
temperature
,
bool
hard
,
int
axis
,
DenseTensor
*
out
)
{
GumbelSoftmaxKernelHelper
<
T
,
Context
>
(
ctx
,
x
,
temperature
,
hard
,
axis
,
out
,
false
);
}
template
<
typename
T
,
typename
Context
>
void
GumbelSoftmaxInferKernel
(
const
Context
&
ctx
,
const
DenseTensor
&
x
,
float
temperature
,
bool
hard
,
int
axis
,
DenseTensor
*
out
)
{
GumbelSoftmaxKernelHelper
<
T
,
Context
>
(
ctx
,
x
,
temperature
,
hard
,
axis
,
out
,
true
);
}
}
// namespace phi
paddle/phi/ops/compat/gumbel_softmax_sig.cc
浏览文件 @
01888482
...
...
@@ -16,6 +16,23 @@ limitations under the License. */
namespace
phi
{
KernelSignature
GumbelSoftmaxOpArgumentMapping
(
const
ArgumentMappingContext
&
ctx
)
{
bool
is_test
=
false
;
if
(
ctx
.
HasAttr
(
"is_test"
))
{
is_test
=
paddle
::
any_cast
<
bool
>
(
ctx
.
Attr
(
"is_test"
));
}
if
(
is_test
)
{
return
KernelSignature
(
"gumbel_softmax_infer"
,
{
"X"
},
{
"temperature"
,
"hard"
,
"axis"
},
{
"Out"
});
}
else
{
return
KernelSignature
(
"gumbel_softmax"
,
{
"X"
},
{
"temperature"
,
"hard"
,
"axis"
},
{
"Out"
});
}
}
KernelSignature
GumbelSoftmaxGradOpArgumentMapping
(
const
ArgumentMappingContext
&
ctx
)
{
return
KernelSignature
(
...
...
@@ -24,5 +41,6 @@ KernelSignature GumbelSoftmaxGradOpArgumentMapping(
}
// namespace phi
PD_REGISTER_ARG_MAPPING_FN
(
gumbel_softmax
,
phi
::
GumbelSoftmaxOpArgumentMapping
);
PD_REGISTER_ARG_MAPPING_FN
(
gumbel_softmax_grad
,
phi
::
GumbelSoftmaxGradOpArgumentMapping
);
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