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体验新版 GitCode,发现更多精彩内容 >>
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28a558e8
编写于
4月 26, 2020
作者:
C
Chengmo
提交者:
GitHub
4月 26, 2020
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电子邮件补丁
差异文件
Update index sample (#24109)
* update index sample
上级
ab8f8fa7
变更
5
隐藏空白更改
内联
并排
Showing
5 changed file
with
117 addition
and
54 deletion
+117
-54
paddle/fluid/operators/index_sample_op.cc
paddle/fluid/operators/index_sample_op.cc
+9
-8
paddle/fluid/operators/index_sample_op.cu
paddle/fluid/operators/index_sample_op.cu
+29
-0
paddle/fluid/operators/index_sample_op.h
paddle/fluid/operators/index_sample_op.h
+30
-25
python/paddle/fluid/tests/unittests/test_index_sample_op.py
python/paddle/fluid/tests/unittests/test_index_sample_op.py
+1
-0
python/paddle/tensor/search.py
python/paddle/tensor/search.py
+48
-21
未找到文件。
paddle/fluid/operators/index_sample_op.cc
浏览文件 @
28a558e8
...
...
@@ -142,13 +142,14 @@ REGISTER_OPERATOR(index_sample, ops::IndexSampleOp, ops::IndexSampleOpMaker,
REGISTER_OPERATOR
(
index_sample_grad
,
ops
::
IndexSampleGradOp
,
ops
::
IndexSampleGradNoNeedBufferVarInferer
);
REGISTER_OP_CPU_KERNEL
(
index_sample
,
ops
::
IndexSampleKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
,
ops
::
IndexSampleKernel
<
paddle
::
platform
::
CPUPlace
,
double
>
,
ops
::
IndexSampleKernel
<
paddle
::
platform
::
CPUPlace
,
int
>
,
ops
::
IndexSampleKernel
<
paddle
::
platform
::
CPUPlace
,
int64_t
>
);
index_sample
,
ops
::
IndexSampleKernel
<
paddle
::
platform
::
CPUDeviceContext
,
float
>
,
ops
::
IndexSampleKernel
<
paddle
::
platform
::
CPUDeviceContext
,
double
>
,
ops
::
IndexSampleKernel
<
paddle
::
platform
::
CPUDeviceContext
,
int
>
,
ops
::
IndexSampleKernel
<
paddle
::
platform
::
CPUDeviceContext
,
int64_t
>
);
REGISTER_OP_CPU_KERNEL
(
index_sample_grad
,
ops
::
IndexSampleGradKernel
<
paddle
::
platform
::
CPU
Place
,
float
>
,
ops
::
IndexSampleGradKernel
<
paddle
::
platform
::
CPU
Place
,
double
>
,
ops
::
IndexSampleGradKernel
<
paddle
::
platform
::
CPU
Place
,
int
>
,
ops
::
IndexSampleGradKernel
<
paddle
::
platform
::
CPU
Place
,
int64_t
>
);
ops
::
IndexSampleGradKernel
<
paddle
::
platform
::
CPU
DeviceContext
,
float
>
,
ops
::
IndexSampleGradKernel
<
paddle
::
platform
::
CPU
DeviceContext
,
double
>
,
ops
::
IndexSampleGradKernel
<
paddle
::
platform
::
CPU
DeviceContext
,
int
>
,
ops
::
IndexSampleGradKernel
<
paddle
::
platform
::
CPU
DeviceContext
,
int64_t
>
);
paddle/fluid/operators/index_sample_op.cu
0 → 100644
浏览文件 @
28a558e8
// Copyright (c) 2020 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/index_sample_op.h"
namespace
ops
=
paddle
::
operators
;
REGISTER_OP_CUDA_KERNEL
(
index_sample
,
ops
::
IndexSampleKernel
<
paddle
::
platform
::
CUDADeviceContext
,
float
>
,
ops
::
IndexSampleKernel
<
paddle
::
platform
::
CUDADeviceContext
,
double
>
,
ops
::
IndexSampleKernel
<
paddle
::
platform
::
CUDADeviceContext
,
int
>
,
ops
::
IndexSampleKernel
<
paddle
::
platform
::
CUDADeviceContext
,
int64_t
>
);
REGISTER_OP_CUDA_KERNEL
(
index_sample_grad
,
ops
::
IndexSampleGradKernel
<
paddle
::
platform
::
CUDADeviceContext
,
float
>
,
ops
::
IndexSampleGradKernel
<
paddle
::
platform
::
CUDADeviceContext
,
double
>
,
ops
::
IndexSampleGradKernel
<
paddle
::
platform
::
CUDADeviceContext
,
int
>
,
ops
::
IndexSampleGradKernel
<
paddle
::
platform
::
CUDADeviceContext
,
int64_t
>
);
paddle/fluid/operators/index_sample_op.h
浏览文件 @
28a558e8
...
...
@@ -41,39 +41,41 @@ void IndexSampleInner(const framework::ExecutionContext &context,
auto
value_length
=
input_dims
[
1
];
auto
index_length
=
index_dims
[
1
];
int
index_ids_num
=
index
.
numel
();
auto
*
input_data
=
input
.
data
<
T
>
();
auto
*
index_data
=
index
.
data
<
IndexT
>
();
std
::
vector
<
T
>
res
{};
std
::
vector
<
T
>
input_vec
;
std
::
vector
<
IndexT
>
index_vec
;
TensorToVector
(
input
,
context
.
device_context
(),
&
input_vec
);
TensorToVector
(
index
,
context
.
device_context
(),
&
index_vec
);
std
::
vector
<
T
>
res
(
index_ids_num
);
for
(
int
i
=
0
;
i
<
index_ids_num
;
i
++
)
{
int
b
=
floor
(
i
/
index_length
);
PADDLE_ENFORCE_GE
(
index_
data
[
i
],
0
,
index_
vec
[
i
],
0
,
platform
::
errors
::
InvalidArgument
(
"Variable value (index) of OP(index_sample) "
"expected >= 0 and < %ld, but got %ld. Please check input "
"value."
,
value_length
,
index_
data
[
i
]));
value_length
,
index_
vec
[
i
]));
PADDLE_ENFORCE_LT
(
index_
data
[
i
],
value_length
,
index_
vec
[
i
],
value_length
,
platform
::
errors
::
InvalidArgument
(
"Variable value (index) of OP(index_sample) "
"expected >= 0 and < %ld, but got %ld. Please check input "
"value."
,
value_length
,
index_
data
[
i
]));
value_length
,
index_
vec
[
i
]));
int
v_i
=
b
*
value_length
+
static_cast
<
int
>
(
index_
data
[
i
]);
T
v
=
input_
data
[
v_i
];
int
v_i
=
b
*
value_length
+
static_cast
<
int
>
(
index_
vec
[
i
]);
T
v
=
input_
vec
[
v_i
];
VLOG
(
4
)
<<
"Index Sample: batch = "
<<
b
<<
" index = "
<<
v_i
<<
" value = "
<<
v
;
res
.
push_back
(
v
)
;
res
[
i
]
=
v
;
}
auto
ddim
=
framework
::
make_ddim
({
batch_size
,
index_length
});
output
->
mutable_data
<
T
>
(
context
.
GetPlace
());
framework
::
TensorFromVector
(
res
,
context
.
device_context
(),
output
);
output
->
Resize
(
ddim
);
T
*
out_data
=
output
->
mutable_data
<
T
>
(
context
.
GetPlace
());
memcpy
(
out_data
,
&
res
[
0
],
sizeof
(
T
)
*
index_ids_num
);
}
template
<
typename
DeviceContext
,
typename
T
>
...
...
@@ -113,39 +115,42 @@ template <typename T, typename IndexT = int>
void
IndexSampleGradInner
(
const
framework
::
ExecutionContext
&
context
,
const
LoDTensor
&
out_grad
,
const
LoDTensor
&
index
,
LoDTensor
*
x_grad
)
{
std
::
vector
<
T
>
out_grad_vec
;
std
::
vector
<
IndexT
>
index_vec
;
TensorToVector
(
out_grad
,
context
.
device_context
(),
&
out_grad_vec
);
TensorToVector
(
index
,
context
.
device_context
(),
&
index_vec
);
auto
index_dims
=
index
.
dims
();
auto
x_grad_dims
=
x_grad
->
dims
();
int
batch_size
=
x_grad_dims
[
0
];
auto
value_length
=
x_grad_dims
[
1
];
auto
index_length
=
index_dims
[
1
];
int
index_ids_num
=
index
.
numel
();
T
*
x_grad_data
=
x_grad
->
mutable_data
<
T
>
(
context
.
GetPlace
());
auto
*
out_grad_data
=
out_grad
.
data
<
T
>
();
auto
*
index_data
=
index
.
data
<
IndexT
>
();
memset
(
x_grad_data
,
0
,
batch_size
*
value_length
*
sizeof
(
T
));
std
::
vector
<
T
>
x_grad_vec
(
x_grad
->
numel
(),
0
);
for
(
int
i
=
0
;
i
<
index_ids_num
;
i
++
)
{
int
b
=
floor
(
i
/
index_length
);
PADDLE_ENFORCE_GE
(
index_
data
[
i
],
0
,
index_
vec
[
i
],
0
,
platform
::
errors
::
InvalidArgument
(
"Variable value (index) of OP(index_sample_grad) "
"expected >= 0 and < %ld, but got %ld. Please check input "
"value."
,
value_length
,
index_
data
[
i
]));
value_length
,
index_
vec
[
i
]));
PADDLE_ENFORCE_LT
(
index_
data
[
i
],
value_length
,
index_
vec
[
i
],
value_length
,
platform
::
errors
::
InvalidArgument
(
"Variable value (index) of OP(index_sample_grad) "
"expected >= 0 and < %ld, but got %ld. Please check input "
"value."
,
value_length
,
index_
data
[
i
]));
int
v_i
=
b
*
value_length
+
static_cast
<
int
>
(
index_
data
[
i
]);
x_grad_
data
[
v_i
]
+=
out_grad_data
[
i
];
value_length
,
index_
vec
[
i
]));
int
v_i
=
b
*
value_length
+
static_cast
<
int
>
(
index_
vec
[
i
]);
x_grad_
vec
[
v_i
]
+=
out_grad_vec
[
i
];
}
x_grad
->
mutable_data
<
T
>
(
context
.
GetPlace
());
framework
::
TensorFromVector
(
x_grad_vec
,
context
.
device_context
(),
x_grad
);
x_grad
->
Resize
(
x_grad_dims
);
}
template
<
typename
DeviceContext
,
typename
T
>
...
...
python/paddle/fluid/tests/unittests/test_index_sample_op.py
浏览文件 @
28a558e8
...
...
@@ -32,6 +32,7 @@ class TestIndexSampleOp(OpTest):
for
i
in
range
(
self
.
index_shape
[
0
]):
for
j
in
indexnp
[
i
]:
index_array
.
append
(
xnp
[
i
,
j
])
index_array
=
np
.
array
(
index_array
).
astype
(
self
.
x_type
)
out
=
np
.
reshape
(
index_array
,
self
.
index_shape
)
self
.
outputs
=
{
'Out'
:
out
}
...
...
python/paddle/tensor/search.py
浏览文件 @
28a558e8
...
...
@@ -17,7 +17,7 @@ from ..fluid.layer_helper import LayerHelper
from
..fluid.data_feeder
import
check_variable_and_dtype
,
check_type
,
check_dtype
from
..fluid
import
core
,
layers
# TODO: define searching & indexing functions of a tensor
# TODO: define searching & indexing functions of a tensor
__all__
=
[
'argmax'
,
# 'argmin',
...
...
@@ -132,7 +132,7 @@ def index_select(input, index, dim=0):
the entries in `index` which is a Tensor. The returned tensor has the same number
of dimensions as the original `input` tensor. The dim-th dimension has the same
size as the length of `index`; other dimensions have the same size as in the `input` tensor.
Args:
input (Variable): The input tensor variable.
index (Variable): The 1-D tensor containing the indices to index.
...
...
@@ -140,7 +140,7 @@ def index_select(input, index, dim=0):
Returns:
Variable: A Tensor with same data type as `input`.
Examples:
.. code-block:: python
import paddle
...
...
@@ -196,7 +196,7 @@ def nonzero(input, as_tuple=False):
as_tuple is False, we can get a output tensor with shape [z, n], where `z` is the
number of all non-zero elements in the `input` tensor. If as_tuple is True, we can get
a 1-D tensor tuple of length `n`, and the shape of each 1-D tensor is [z, 1].
Args:
inputs (Variable): The input tensor variable.
as_tuple (bool): Return type, Tensor or tuple of Tensor.
...
...
@@ -365,13 +365,13 @@ def where(condition, x, y, name=None):
Return a tensor of elements selected from either $x$ or $y$, depending on $condition$.
.. math::
out_i =
\\
begin{cases}
x_i, \quad
\\
text{if}
\\
condition_i
\\
is
\\
True
\\\\
y_i, \quad
\\
text{if}
\\
condition_i
\\
is
\\
False
\\\\
\\
end{cases}
Args:
condition(Variable): The condition to choose x or y.
...
...
@@ -475,21 +475,48 @@ def index_sample(x, index):
import paddle.fluid as fluid
import numpy as np
# create x value
x_shape = (2, 5)
x_type = "float64"
x_np = np.random.random(x_shape).astype(x_type)
# create index value
index_shape = (2, 3)
index_type = "int32"
index_np = np.random.randint(low=0,
high=x_shape[1],
size=index_shape).astype(index_type)
x = fluid.data(name='x', shape=[-1, 5], dtype='float64')
index = fluid.data(name='index', shape=[-1, 3], dtype='int32')
output = paddle.index_sample(x=x, index=index)
data = np.array([[1.0, 2.0, 3.0, 4.0],
[5.0, 6.0, 7.0, 8.0],
[9.0, 10.0, 11.0, 12.0]]).astype('float32')
data_index = np.array([[0, 1, 2],
[1, 2, 3],
[0, 0, 0]]).astype('int32')
target_data = np.array([[100, 200, 300, 400],
[500, 600, 700, 800],
[900, 1000, 1100, 1200]]).astype('int32')
with fluid.dygraph.guard():
x = fluid.dygraph.to_variable(data)
index = fluid.dygraph.to_variable(data_index)
target = fluid.dygraph.to_variable(target_data)
out_z1 = paddle.index_sample(x, index)
print(out_z1.numpy())
#[[1. 2. 3.]
# [6. 7. 8.]
# [9. 9. 9.]]
# Use the index of the maximum value by topk op
# get the value of the element of the corresponding index in other tensors
top_value, top_index = fluid.layers.topk(x, k=2)
out_z2 = paddle.index_sample(target, top_index)
print(top_value.numpy())
#[[ 4. 3.]
# [ 8. 7.]
# [12. 11.]]
print(top_index.numpy())
#[[3 2]
# [3 2]
# [3 2]]
print(out_z2.numpy())
#[[ 400 300]
# [ 800 700]
# [1200 1100]]
"""
helper
=
LayerHelper
(
"index_sample"
,
**
locals
())
...
...
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