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148fa05e
编写于
6月 29, 2022
作者:
Z
zhangkaihuo
提交者:
GitHub
6月 29, 2022
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
Change sparse Copy from Kernel to basic component utils (#43916)
上级
1dbbe20e
变更
6
隐藏空白更改
内联
并排
Showing
6 changed file
with
127 addition
and
186 deletion
+127
-186
paddle/phi/api/lib/tensor_method.cc
paddle/phi/api/lib/tensor_method.cc
+14
-32
paddle/phi/core/tensor_utils.cc
paddle/phi/core/tensor_utils.cc
+81
-0
paddle/phi/core/tensor_utils.h
paddle/phi/core/tensor_utils.h
+16
-0
paddle/phi/kernels/sparse/copy_kernel.cc
paddle/phi/kernels/sparse/copy_kernel.cc
+0
-99
paddle/phi/kernels/sparse/copy_kernel.h
paddle/phi/kernels/sparse/copy_kernel.h
+0
-40
paddle/phi/kernels/sparse/cpu/elementwise_grad_kernel.cc
paddle/phi/kernels/sparse/cpu/elementwise_grad_kernel.cc
+16
-15
未找到文件。
paddle/phi/api/lib/tensor_method.cc
浏览文件 @
148fa05e
...
@@ -167,39 +167,21 @@ void Tensor::copy_(const Tensor &src,
...
@@ -167,39 +167,21 @@ void Tensor::copy_(const Tensor &src,
blocking
,
blocking
,
static_cast
<
phi
::
SelectedRows
*>
(
impl_
.
get
()));
static_cast
<
phi
::
SelectedRows
*>
(
impl_
.
get
()));
}
else
if
(
kernel_type
==
KernelType
::
SPARSE_COO_KERNEL
)
{
}
else
if
(
kernel_type
==
KernelType
::
SPARSE_COO_KERNEL
)
{
auto
kernel
=
phi
::
KernelFactory
::
Instance
().
SelectKernelOrThrowError
(
SetSparseKernelOutput
(
this
,
TensorType
::
SPARSE_COO
);
"copy_sparse_coo"
,
{
kernel_backend
,
kernel_layout
,
kernel_data_type
});
// TODO(zhangkaihuo) add sparse infer_meta
VLOG
(
6
)
<<
"copy API kernel key: "
<<
kernel_key
;
phi
::
Copy
(
*
dev_ctx
,
VLOG
(
6
)
<<
"copy API kernel: "
<<
kernel
;
(
*
(
std
::
static_pointer_cast
<
phi
::
SparseCooTensor
>
(
src
.
impl_
))),
using
kernel_signature
=
void
(
*
)(
const
platform
::
DeviceContext
&
,
target_place
,
const
phi
::
SparseCooTensor
&
,
blocking
,
phi
::
Place
,
static_cast
<
phi
::
SparseCooTensor
*>
(
impl_
.
get
()));
bool
,
phi
::
SparseCooTensor
*
);
this
->
set_impl
(
std
::
make_shared
<
phi
::
SparseCooTensor
>
());
auto
*
kernel_fn
=
kernel
.
GetVariadicKernelFn
<
kernel_signature
>
();
(
*
kernel_fn
)(
*
dev_ctx
,
(
*
(
std
::
static_pointer_cast
<
phi
::
SparseCooTensor
>
(
src
.
impl_
))),
target_place
,
blocking
,
static_cast
<
phi
::
SparseCooTensor
*>
(
impl_
.
get
()));
}
else
if
(
kernel_type
==
KernelType
::
SPARSE_CSR_KERNEL
)
{
}
else
if
(
kernel_type
==
KernelType
::
SPARSE_CSR_KERNEL
)
{
auto
kernel
=
phi
::
KernelFactory
::
Instance
().
SelectKernelOrThrowError
(
SetSparseKernelOutput
(
this
,
TensorType
::
SPARSE_CSR
);
"copy_sparse_csr"
,
{
kernel_backend
,
kernel_layout
,
kernel_data_type
});
// TODO(zhangkaihuo) add sparse infer_meta
VLOG
(
6
)
<<
"copy API kernel key: "
<<
kernel_key
;
phi
::
Copy
(
*
dev_ctx
,
VLOG
(
6
)
<<
"copy API kernel: "
<<
kernel
;
(
*
(
std
::
static_pointer_cast
<
phi
::
SparseCsrTensor
>
(
src
.
impl_
))),
using
kernel_signature
=
void
(
*
)(
const
platform
::
DeviceContext
&
,
target_place
,
const
phi
::
SparseCsrTensor
&
,
blocking
,
phi
::
Place
,
static_cast
<
phi
::
SparseCsrTensor
*>
(
impl_
.
get
()));
bool
,
phi
::
SparseCsrTensor
*
);
this
->
set_impl
(
std
::
make_shared
<
phi
::
SparseCsrTensor
>
());
auto
*
kernel_fn
=
kernel
.
GetVariadicKernelFn
<
kernel_signature
>
();
(
*
kernel_fn
)(
*
dev_ctx
,
(
*
(
std
::
static_pointer_cast
<
phi
::
SparseCsrTensor
>
(
src
.
impl_
))),
target_place
,
blocking
,
static_cast
<
phi
::
SparseCsrTensor
*>
(
impl_
.
get
()));
}
else
{
}
else
{
PADDLE_THROW
(
phi
::
errors
::
InvalidArgument
(
PADDLE_THROW
(
phi
::
errors
::
InvalidArgument
(
"We currently only support dense tensor copy for now and if u need to "
"We currently only support dense tensor copy for now and if u need to "
...
...
paddle/phi/core/tensor_utils.cc
浏览文件 @
148fa05e
...
@@ -234,6 +234,53 @@ void Copy(const Context& dev_ctx,
...
@@ -234,6 +234,53 @@ void Copy(const Context& dev_ctx,
dev_ctx
,
src
.
value
(),
dst_place
,
blocking
,
dst
->
mutable_value
());
dev_ctx
,
src
.
value
(),
dst_place
,
blocking
,
dst
->
mutable_value
());
}
}
template
<
typename
Context
>
void
Copy
(
const
Context
&
dev_ctx
,
const
SparseCooTensor
&
src
,
Place
dst_place
,
bool
blocking
,
SparseCooTensor
*
dst
)
{
phi
::
Copy
<
Context
>
(
dev_ctx
,
src
.
non_zero_indices
(),
dst_place
,
blocking
,
dst
->
mutable_non_zero_indices
());
phi
::
Copy
<
Context
>
(
dev_ctx
,
src
.
non_zero_elements
(),
dst_place
,
blocking
,
dst
->
mutable_non_zero_elements
());
dst
->
set_dims
(
src
.
dims
());
dst
->
SetCoalesced
(
src
.
coalesced
());
}
template
<
typename
Context
>
void
Copy
(
const
Context
&
dev_ctx
,
const
SparseCsrTensor
&
src
,
Place
dst_place
,
bool
blocking
,
SparseCsrTensor
*
dst
)
{
phi
::
Copy
<
Context
>
(
dev_ctx
,
src
.
non_zero_crows
(),
dst_place
,
blocking
,
dst
->
mutable_non_zero_crows
());
phi
::
Copy
<
Context
>
(
dev_ctx
,
src
.
non_zero_cols
(),
dst_place
,
blocking
,
dst
->
mutable_non_zero_cols
());
phi
::
Copy
<
Context
>
(
dev_ctx
,
src
.
non_zero_elements
(),
dst_place
,
blocking
,
dst
->
mutable_non_zero_elements
());
dst
->
set_dims
(
src
.
dims
());
}
template
void
Copy
(
const
CPUContext
&
dev_ctx
,
template
void
Copy
(
const
CPUContext
&
dev_ctx
,
const
DenseTensor
&
src
,
const
DenseTensor
&
src
,
Place
dst_place
,
Place
dst_place
,
...
@@ -257,6 +304,30 @@ template void Copy(const DeviceContext& dev_ctx,
...
@@ -257,6 +304,30 @@ template void Copy(const DeviceContext& dev_ctx,
bool
blocking
,
bool
blocking
,
SelectedRows
*
dst
);
SelectedRows
*
dst
);
template
void
Copy
(
const
CPUContext
&
dev_ctx
,
const
SparseCooTensor
&
src
,
Place
dst_place
,
bool
blocking
,
SparseCooTensor
*
dst
);
template
void
Copy
(
const
DeviceContext
&
dev_ctx
,
const
SparseCooTensor
&
src
,
Place
dst_place
,
bool
blocking
,
SparseCooTensor
*
dst
);
template
void
Copy
(
const
CPUContext
&
dev_ctx
,
const
SparseCsrTensor
&
src
,
Place
dst_place
,
bool
blocking
,
SparseCsrTensor
*
dst
);
template
void
Copy
(
const
DeviceContext
&
dev_ctx
,
const
SparseCsrTensor
&
src
,
Place
dst_place
,
bool
blocking
,
SparseCsrTensor
*
dst
);
#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
template
void
Copy
(
const
GPUContext
&
dev_ctx
,
template
void
Copy
(
const
GPUContext
&
dev_ctx
,
const
DenseTensor
&
src
,
const
DenseTensor
&
src
,
...
@@ -268,6 +339,16 @@ template void Copy(const GPUContext& dev_ctx,
...
@@ -268,6 +339,16 @@ template void Copy(const GPUContext& dev_ctx,
Place
dst_place
,
Place
dst_place
,
bool
blocking
,
bool
blocking
,
SelectedRows
*
dst
);
SelectedRows
*
dst
);
template
void
Copy
(
const
GPUContext
&
dev_ctx
,
const
SparseCooTensor
&
src
,
Place
dst_place
,
bool
blocking
,
SparseCooTensor
*
dst
);
template
void
Copy
(
const
GPUContext
&
dev_ctx
,
const
SparseCsrTensor
&
src
,
Place
dst_place
,
bool
blocking
,
SparseCsrTensor
*
dst
);
#endif
#endif
#ifdef PADDLE_WITH_XPU
#ifdef PADDLE_WITH_XPU
...
...
paddle/phi/core/tensor_utils.h
浏览文件 @
148fa05e
...
@@ -16,6 +16,8 @@ limitations under the License. */
...
@@ -16,6 +16,8 @@ limitations under the License. */
#include "paddle/phi/core/dense_tensor.h"
#include "paddle/phi/core/dense_tensor.h"
#include "paddle/phi/core/selected_rows.h"
#include "paddle/phi/core/selected_rows.h"
#include "paddle/phi/core/sparse_coo_tensor.h"
#include "paddle/phi/core/sparse_csr_tensor.h"
#include "paddle/phi/core/tensor_meta.h"
#include "paddle/phi/core/tensor_meta.h"
namespace
phi
{
namespace
phi
{
...
@@ -85,4 +87,18 @@ void Copy(const Context& dev_ctx,
...
@@ -85,4 +87,18 @@ void Copy(const Context& dev_ctx,
bool
blocking
,
bool
blocking
,
SelectedRows
*
dst
);
SelectedRows
*
dst
);
template
<
typename
Context
>
void
Copy
(
const
Context
&
dev_ctx
,
const
SparseCooTensor
&
src
,
Place
dst_place
,
bool
blocking
,
SparseCooTensor
*
dst
);
template
<
typename
Context
>
void
Copy
(
const
Context
&
dev_ctx
,
const
SparseCsrTensor
&
src
,
Place
dst_place
,
bool
blocking
,
SparseCsrTensor
*
dst
);
}
// namespace phi
}
// namespace phi
paddle/phi/kernels/sparse/copy_kernel.cc
已删除
100644 → 0
浏览文件 @
1dbbe20e
/* Copyright (c) 2022 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/phi/kernels/sparse/copy_kernel.h"
#include "paddle/phi/backends/cpu/cpu_context.h"
#include "paddle/phi/backends/gpu/gpu_context.h"
#include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/core/sparse_coo_tensor.h"
#include "paddle/phi/core/sparse_csr_tensor.h"
#include "paddle/phi/core/tensor_utils.h"
namespace
phi
{
namespace
sparse
{
template
<
typename
Context
>
void
CopyCoo
(
const
Context
&
dev_ctx
,
const
SparseCooTensor
&
src
,
Place
dst_place
,
bool
blocking
,
SparseCooTensor
*
dst
)
{
phi
::
Copy
<
Context
>
(
dev_ctx
,
src
.
non_zero_indices
(),
dst_place
,
blocking
,
dst
->
mutable_non_zero_indices
());
phi
::
Copy
<
Context
>
(
dev_ctx
,
src
.
non_zero_elements
(),
dst_place
,
blocking
,
dst
->
mutable_non_zero_elements
());
dst
->
set_dims
(
src
.
dims
());
}
template
<
typename
Context
>
void
CopyCsr
(
const
Context
&
dev_ctx
,
const
SparseCsrTensor
&
src
,
Place
dst_place
,
bool
blocking
,
SparseCsrTensor
*
dst
)
{
phi
::
Copy
<
Context
>
(
dev_ctx
,
src
.
non_zero_crows
(),
dst_place
,
blocking
,
dst
->
mutable_non_zero_crows
());
phi
::
Copy
<
Context
>
(
dev_ctx
,
src
.
non_zero_cols
(),
dst_place
,
blocking
,
dst
->
mutable_non_zero_cols
());
phi
::
Copy
<
Context
>
(
dev_ctx
,
src
.
non_zero_elements
(),
dst_place
,
blocking
,
dst
->
mutable_non_zero_elements
());
dst
->
set_dims
(
src
.
dims
());
}
}
// namespace sparse
}
// namespace phi
PD_REGISTER_GENERAL_KERNEL
(
copy_sparse_coo
,
CPU
,
ALL_LAYOUT
,
phi
::
sparse
::
CopyCoo
<
phi
::
CPUContext
>
,
ALL_DTYPE
)
{}
PD_REGISTER_GENERAL_KERNEL
(
copy_sparse_csr
,
CPU
,
ALL_LAYOUT
,
phi
::
sparse
::
CopyCsr
<
phi
::
CPUContext
>
,
ALL_DTYPE
)
{}
#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
PD_REGISTER_GENERAL_KERNEL
(
copy_sparse_coo
,
GPU
,
ALL_LAYOUT
,
phi
::
sparse
::
CopyCoo
<
phi
::
GPUContext
>
,
ALL_DTYPE
)
{}
PD_REGISTER_GENERAL_KERNEL
(
copy_sparse_csr
,
GPU
,
ALL_LAYOUT
,
phi
::
sparse
::
CopyCsr
<
phi
::
GPUContext
>
,
ALL_DTYPE
)
{}
#endif
paddle/phi/kernels/sparse/copy_kernel.h
已删除
100644 → 0
浏览文件 @
1dbbe20e
/* Copyright (c) 2022 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/phi/core/dense_tensor.h"
#include "paddle/phi/core/sparse_coo_tensor.h"
#include "paddle/phi/core/sparse_csr_tensor.h"
#include "paddle/phi/kernels/empty_kernel.h"
namespace
phi
{
namespace
sparse
{
template
<
typename
Context
>
void
CopyCoo
(
const
Context
&
dev_ctx
,
const
SparseCooTensor
&
src
,
Place
dst_place
,
bool
blocking
,
SparseCooTensor
*
dst
);
template
<
typename
Context
>
void
CopyCsr
(
const
Context
&
dev_ctx
,
const
SparseCsrTensor
&
src
,
Place
dst_place
,
bool
blocking
,
SparseCsrTensor
*
dst
);
}
// namespace sparse
}
// namespace phi
paddle/phi/kernels/sparse/cpu/elementwise_grad_kernel.cc
浏览文件 @
148fa05e
...
@@ -16,11 +16,12 @@ limitations under the License. */
...
@@ -16,11 +16,12 @@ limitations under the License. */
#include "paddle/phi/core/enforce.h"
#include "paddle/phi/core/enforce.h"
#include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/core/tensor_meta.h"
#include "paddle/phi/core/tensor_meta.h"
#include "paddle/phi/core/tensor_utils.h"
#include "paddle/phi/core/visit_type.h"
#include "paddle/phi/core/visit_type.h"
#include "paddle/phi/kernels/activation_kernel.h"
#include "paddle/phi/kernels/activation_kernel.h"
#include "paddle/phi/kernels/elementwise_kernel.h"
#include "paddle/phi/kernels/elementwise_kernel.h"
#include "paddle/phi/kernels/empty_kernel.h"
#include "paddle/phi/kernels/funcs/eigen/common.h"
#include "paddle/phi/kernels/funcs/eigen/common.h"
#include "paddle/phi/kernels/sparse/copy_kernel.h"
#include "paddle/phi/kernels/sparse/elementwise_kernel.h"
#include "paddle/phi/kernels/sparse/elementwise_kernel.h"
namespace
phi
{
namespace
phi
{
...
@@ -56,16 +57,16 @@ void ElementWiseAddCsrGradCPUKernel(const Context& dev_ctx,
...
@@ -56,16 +57,16 @@ void ElementWiseAddCsrGradCPUKernel(const Context& dev_ctx,
if
(
dx
!=
nullptr
&&
dy
==
nullptr
)
{
if
(
dx
!=
nullptr
&&
dy
==
nullptr
)
{
VLOG
(
4
)
<<
"Special case when dy is not needed"
;
VLOG
(
4
)
<<
"Special case when dy is not needed"
;
AllocCsrPtr
<
T
,
IntT
>
(
dev_ctx
,
x
,
dx
);
AllocCsrPtr
<
T
,
IntT
>
(
dev_ctx
,
x
,
dx
);
Copy
Csr
(
dev_ctx
,
dout
,
dev_ctx
.
GetPlace
(),
false
,
dx
);
Copy
(
dev_ctx
,
dout
,
dev_ctx
.
GetPlace
(),
false
,
dx
);
}
else
if
(
dx
==
nullptr
&&
dy
!=
nullptr
)
{
}
else
if
(
dx
==
nullptr
&&
dy
!=
nullptr
)
{
VLOG
(
4
)
<<
"Special case when dx is not needed"
;
VLOG
(
4
)
<<
"Special case when dx is not needed"
;
AllocCsrPtr
<
T
,
IntT
>
(
dev_ctx
,
y
,
dy
);
AllocCsrPtr
<
T
,
IntT
>
(
dev_ctx
,
y
,
dy
);
Copy
Csr
(
dev_ctx
,
dout
,
dev_ctx
.
GetPlace
(),
false
,
dy
);
Copy
(
dev_ctx
,
dout
,
dev_ctx
.
GetPlace
(),
false
,
dy
);
}
else
{
}
else
{
AllocCsrPtr
<
T
,
IntT
>
(
dev_ctx
,
x
,
dx
);
AllocCsrPtr
<
T
,
IntT
>
(
dev_ctx
,
x
,
dx
);
AllocCsrPtr
<
T
,
IntT
>
(
dev_ctx
,
y
,
dy
);
AllocCsrPtr
<
T
,
IntT
>
(
dev_ctx
,
y
,
dy
);
Copy
Csr
(
dev_ctx
,
dout
,
dev_ctx
.
GetPlace
(),
false
,
dx
);
Copy
(
dev_ctx
,
dout
,
dev_ctx
.
GetPlace
(),
false
,
dx
);
Copy
Csr
(
dev_ctx
,
dout
,
dev_ctx
.
GetPlace
(),
false
,
dy
);
Copy
(
dev_ctx
,
dout
,
dev_ctx
.
GetPlace
(),
false
,
dy
);
}
}
}
}
...
@@ -78,12 +79,12 @@ void ElementWiseSubtractCsrGradCPUKernel(const Context& dev_ctx,
...
@@ -78,12 +79,12 @@ void ElementWiseSubtractCsrGradCPUKernel(const Context& dev_ctx,
SparseCsrTensor
*
dy
)
{
SparseCsrTensor
*
dy
)
{
if
(
dx
)
{
if
(
dx
)
{
AllocCsrPtr
<
T
,
IntT
>
(
dev_ctx
,
x
,
dx
);
AllocCsrPtr
<
T
,
IntT
>
(
dev_ctx
,
x
,
dx
);
Copy
Csr
(
dev_ctx
,
dout
,
dev_ctx
.
GetPlace
(),
false
,
dx
);
Copy
(
dev_ctx
,
dout
,
dev_ctx
.
GetPlace
(),
false
,
dx
);
}
}
if
(
dy
)
{
if
(
dy
)
{
AllocCsrPtr
<
T
,
IntT
>
(
dev_ctx
,
y
,
dy
);
AllocCsrPtr
<
T
,
IntT
>
(
dev_ctx
,
y
,
dy
);
Copy
Csr
(
dev_ctx
,
dout
,
dev_ctx
.
GetPlace
(),
false
,
dy
);
Copy
(
dev_ctx
,
dout
,
dev_ctx
.
GetPlace
(),
false
,
dy
);
phi
::
NegativeKernel
<
T
,
Context
>
(
phi
::
NegativeKernel
<
T
,
Context
>
(
dev_ctx
,
dout
.
non_zero_elements
(),
dy
->
mutable_non_zero_elements
());
dev_ctx
,
dout
.
non_zero_elements
(),
dy
->
mutable_non_zero_elements
());
}
}
...
@@ -126,7 +127,7 @@ void ElementWiseDivideCsrGradCPUKernel(const Context& dev_ctx,
...
@@ -126,7 +127,7 @@ void ElementWiseDivideCsrGradCPUKernel(const Context& dev_ctx,
if
(
dy
)
{
if
(
dy
)
{
// -dout * out / y
// -dout * out / y
AllocCsrPtr
<
T
,
IntT
>
(
dev_ctx
,
y
,
dy
);
AllocCsrPtr
<
T
,
IntT
>
(
dev_ctx
,
y
,
dy
);
Copy
Csr
(
dev_ctx
,
dout
,
dev_ctx
.
GetPlace
(),
false
,
dy
);
Copy
(
dev_ctx
,
dout
,
dev_ctx
.
GetPlace
(),
false
,
dy
);
phi
::
NegativeKernel
<
T
,
Context
>
(
phi
::
NegativeKernel
<
T
,
Context
>
(
dev_ctx
,
dout
.
non_zero_elements
(),
dy
->
mutable_non_zero_elements
());
dev_ctx
,
dout
.
non_zero_elements
(),
dy
->
mutable_non_zero_elements
());
auto
tmp
=
sparse
::
ElementWiseMultiplyCsr
<
T
,
Context
>
(
dev_ctx
,
*
dy
,
out
);
auto
tmp
=
sparse
::
ElementWiseMultiplyCsr
<
T
,
Context
>
(
dev_ctx
,
*
dy
,
out
);
...
@@ -145,16 +146,16 @@ void ElementWiseAddCooGradCPUKernel(const Context& dev_ctx,
...
@@ -145,16 +146,16 @@ void ElementWiseAddCooGradCPUKernel(const Context& dev_ctx,
if
(
dx
!=
nullptr
&&
dy
==
nullptr
)
{
if
(
dx
!=
nullptr
&&
dy
==
nullptr
)
{
VLOG
(
4
)
<<
"Special case when dy is not needed"
;
VLOG
(
4
)
<<
"Special case when dy is not needed"
;
AllocCooPtr
<
T
,
IntT
>
(
dev_ctx
,
x
,
dx
);
AllocCooPtr
<
T
,
IntT
>
(
dev_ctx
,
x
,
dx
);
Copy
Coo
(
dev_ctx
,
dout
,
dev_ctx
.
GetPlace
(),
false
,
dx
);
Copy
(
dev_ctx
,
dout
,
dev_ctx
.
GetPlace
(),
false
,
dx
);
}
else
if
(
dx
==
nullptr
&&
dy
!=
nullptr
)
{
}
else
if
(
dx
==
nullptr
&&
dy
!=
nullptr
)
{
VLOG
(
4
)
<<
"Special case when dx is not needed"
;
VLOG
(
4
)
<<
"Special case when dx is not needed"
;
AllocCooPtr
<
T
,
IntT
>
(
dev_ctx
,
y
,
dy
);
AllocCooPtr
<
T
,
IntT
>
(
dev_ctx
,
y
,
dy
);
Copy
Coo
(
dev_ctx
,
dout
,
dev_ctx
.
GetPlace
(),
false
,
dy
);
Copy
(
dev_ctx
,
dout
,
dev_ctx
.
GetPlace
(),
false
,
dy
);
}
else
{
}
else
{
AllocCooPtr
<
T
,
IntT
>
(
dev_ctx
,
x
,
dx
);
AllocCooPtr
<
T
,
IntT
>
(
dev_ctx
,
x
,
dx
);
AllocCooPtr
<
T
,
IntT
>
(
dev_ctx
,
y
,
dy
);
AllocCooPtr
<
T
,
IntT
>
(
dev_ctx
,
y
,
dy
);
Copy
Coo
(
dev_ctx
,
dout
,
dev_ctx
.
GetPlace
(),
false
,
dx
);
Copy
(
dev_ctx
,
dout
,
dev_ctx
.
GetPlace
(),
false
,
dx
);
Copy
Coo
(
dev_ctx
,
dout
,
dev_ctx
.
GetPlace
(),
false
,
dy
);
Copy
(
dev_ctx
,
dout
,
dev_ctx
.
GetPlace
(),
false
,
dy
);
}
}
}
}
...
@@ -167,12 +168,12 @@ void ElementWiseSubtractCooGradCPUKernel(const Context& dev_ctx,
...
@@ -167,12 +168,12 @@ void ElementWiseSubtractCooGradCPUKernel(const Context& dev_ctx,
SparseCooTensor
*
dy
)
{
SparseCooTensor
*
dy
)
{
if
(
dx
)
{
if
(
dx
)
{
AllocCooPtr
<
T
,
IntT
>
(
dev_ctx
,
x
,
dx
);
AllocCooPtr
<
T
,
IntT
>
(
dev_ctx
,
x
,
dx
);
Copy
Coo
(
dev_ctx
,
dout
,
dev_ctx
.
GetPlace
(),
false
,
dx
);
Copy
(
dev_ctx
,
dout
,
dev_ctx
.
GetPlace
(),
false
,
dx
);
}
}
if
(
dy
)
{
if
(
dy
)
{
AllocCooPtr
<
T
,
IntT
>
(
dev_ctx
,
y
,
dy
);
AllocCooPtr
<
T
,
IntT
>
(
dev_ctx
,
y
,
dy
);
Copy
Coo
(
dev_ctx
,
dout
,
dev_ctx
.
GetPlace
(),
false
,
dy
);
Copy
(
dev_ctx
,
dout
,
dev_ctx
.
GetPlace
(),
false
,
dy
);
phi
::
NegativeKernel
<
T
,
Context
>
(
phi
::
NegativeKernel
<
T
,
Context
>
(
dev_ctx
,
dout
.
non_zero_elements
(),
dy
->
mutable_non_zero_elements
());
dev_ctx
,
dout
.
non_zero_elements
(),
dy
->
mutable_non_zero_elements
());
}
}
...
@@ -215,7 +216,7 @@ void ElementWiseDivideCooGradCPUKernel(const Context& dev_ctx,
...
@@ -215,7 +216,7 @@ void ElementWiseDivideCooGradCPUKernel(const Context& dev_ctx,
if
(
dy
)
{
if
(
dy
)
{
// -dout * out / y
// -dout * out / y
AllocCooPtr
<
T
,
IntT
>
(
dev_ctx
,
y
,
dy
);
AllocCooPtr
<
T
,
IntT
>
(
dev_ctx
,
y
,
dy
);
Copy
Coo
(
dev_ctx
,
dout
,
dev_ctx
.
GetPlace
(),
false
,
dy
);
Copy
(
dev_ctx
,
dout
,
dev_ctx
.
GetPlace
(),
false
,
dy
);
phi
::
NegativeKernel
<
T
,
Context
>
(
phi
::
NegativeKernel
<
T
,
Context
>
(
dev_ctx
,
dout
.
non_zero_elements
(),
dy
->
mutable_non_zero_elements
());
dev_ctx
,
dout
.
non_zero_elements
(),
dy
->
mutable_non_zero_elements
());
auto
tmp
=
sparse
::
ElementWiseMultiplyCoo
<
T
,
Context
>
(
dev_ctx
,
*
dy
,
out
);
auto
tmp
=
sparse
::
ElementWiseMultiplyCoo
<
T
,
Context
>
(
dev_ctx
,
*
dy
,
out
);
...
...
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