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00e08ce0
编写于
4年前
作者:
W
wawltor
提交者:
GitHub
4年前
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差异文件
add the sigmoid, Sigmoid for the api 2.0 (#26171)
Update the sigmoid, Sigmoid layer for the api2.0
上级
f8ca7201
develop
2.0.1-rocm-post
Ligoml-patch-1
OliverLPH-patch-1
OliverLPH-patch-2
PaddlePM-patch-1
PaddlePM-patch-2
ZHUI-patch-1
add_default_att
add_model_benchmark_ci
add_some_yaml_config
addfile
all_new_design_exec
ascendrc
ascendrelease
cherry_undefined_var
compile_windows
cp_2.4_fix_numpy
delete_2.0.1-rocm-post
delete_add_default_att
delete_all_new_design_exec
delete_ascendrc
delete_compile_windows
delete_delete_addfile
delete_disable_iterable_dataset_unittest
delete_fix_dataloader_memory_leak
delete_fix_imperative_dygraph_error
delete_fix_retry_ci
delete_fix_undefined_var
delete_improve_sccache
delete_paralleltest
delete_prv-disable-more-cache
delete_revert-31068-fix_conv3d_windows
delete_revert-31562-mean
delete_revert-33630-bug-fix
delete_revert-34159-add_npu_bce_logical_dev
delete_revert-34910-spinlocks_for_allocator
delete_revert-35069-revert-34910-spinlocks_for_allocator
delete_revert-36057-dev/read_flags_in_ut
dingjiaweiww-patch-1
disable_iterable_dataset_unittest
dy2static
enable_eager_model_test
final_state_gen_python_c
final_state_intermediate
fix-numpy-issue
fix_concat_slice
fix_dataloader_memory_leak
fix_dlpack_for
fix_imperative_dygraph_error
fix_npu_ci
fix_op_flops
fix_retry_ci
fix_rnn_docs
fix_tensor_type
fix_undefined_var
fix_var_stop_gradient_error
fixiscan
fixiscan1
fixiscan2
fixiscan3
github/fork/123malin/netifaces
github/fork/123malin/tdm_abacus
github/fork/AshburnLee/dev_unique
github/fork/ForFishes/fix_memory_matmul
github/fork/ForFishes/rm_fluid
github/fork/LielinJiang/move-2.0-api
github/fork/LielinJiang/visual-dl-cb
github/fork/LiuChiachi/add-transformer-generate-square-subsequent-mask-api
github/fork/LiuChiachi/fix-example-code-for-hapi-Model
github/fork/LiuChiachi/remove-input-requirment-in-dygraph-Model
github/fork/MrChengmo/fix_ps_profiler
github/fork/MrChengmo/update_ps_heter
github/fork/PWhiddy/patch-1
github/fork/Shixiaowei02/dev/save_load_upgrade
github/fork/TCChenlong/fix_hapi
github/fork/TCChenlong/fix_inden
github/fork/Thunderbrook/xpu_slice
github/fork/XieYunshen/disable_ut_test_parallel_executor_fetch_isolated_var
github/fork/XieYunshen/disable_ut_test_parallel_executor_fetch_isolated_var_3
github/fork/XieYunshen/timeout_20S_ut
github/fork/ZeyuChen/remove-nltk
github/fork/arlesniak/arlesniak/selective__mkldnn_flags
github/fork/baiyfbupt/code_doc_mig
github/fork/chalsliu/set_timeout
github/fork/chen-zhiyu/develop
github/fork/chenwhql/ci/try_to_find_test_buffer_shared_memory_reuse_pass_error
github/fork/chenwhql/dygraph/remove_scale_loss_and_apply_collective_grads
github/fork/chenwhql/saveload/add_get_inference_program
github/fork/chenwhql/saveload/remove_save_load_config
github/fork/cryoco/pass-compatibility-trt
github/fork/danleifeng/isempty_api2.0
github/fork/frankwhzhang/api_transfer
github/fork/hbwx24/error_msg/cuda_kernel_error_msg
github/fork/heavengate/cherry_yolo_box
github/fork/heavengate/update_yolo_box
github/fork/iclementine/rnn_fix
github/fork/iducn/testestse
github/fork/jczaja/prv-25537-fix
github/fork/jiweibo/api_2.0
github/fork/jiweibo/fix_lite_resnet50_test
github/fork/juncaipeng/fix_doc_1
github/fork/lfchener/sample_code
github/fork/littletomatodonkey/fix_reg_doc
github/fork/liym27/dy2stat_update_assign_to_rc20
github/fork/luotao1/profiler_ut
github/fork/mapingshuo/add_wait
github/fork/mapingshuo/doc_2.0
github/fork/mapingshuo/zero-0.5
github/fork/miraiwk/dev
github/fork/pangyoki/add-Categorical-class-branch
github/fork/pangyoki/add-multinomial-op-branch
github/fork/pangyoki/fix-test_distritbution-CI
github/fork/qjing666/doublegrad
github/fork/qjing666/fix_hdfs_download
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github/fork/sandyhouse/add_send_recv_alltoall_etc
github/fork/sandyhouse/pipeline_exe_run
github/fork/seiriosPlus/feature/large_scale_kv_save_delta
github/fork/seiriosPlus/fix/paddle_errors_fix
github/fork/seiriosPlus/fix/paddle_op_errors
github/fork/shangzhizhou/fix_test_activation_op_random_bug
github/fork/smallv0221/yxp0924
github/fork/smallv0221/yxp0925
github/fork/swtkiwi/del-matplotlib
github/fork/tianshuo78520a/kunlun_test
github/fork/tianshuo78520a/update_dockerfile
github/fork/wanghaoshuang/bert_fuse
github/fork/wanghaoshuang/label_smooth
github/fork/wanghuancoder/develop_CUDASynchronize
github/fork/wanghuancoder/develop_Layer_doc
github/fork/wanghuancoder/develop_ParameterList_doc
github/fork/wanghuancoder/develop_Sequential_doc
github/fork/wanghuancoder/develop_bilinear_tensor_product
github/fork/wanghuancoder/develop_coverage_build_sh
github/fork/wanghuancoder/develop_in_dynamic_mode_doc
github/fork/wanghuancoder/develop_unique_name_doc
github/fork/wangxicoding/fleet_meta_combine
github/fork/wawltor/error_message_fix_5
github/fork/willthefrog/remove_l2_norm
github/fork/windstamp/momentum_op
github/fork/windstamp/mv_op_5
github/fork/windstamp/normal_api
github/fork/wojtuss/wojtuss/fusion_gru_quantization
github/fork/wojtuss/wojtuss/quantization-with-shift
github/fork/wzzju/fix_err_info
github/fork/wzzju/pure_fp16
github/fork/xiemoyuan/op_error_message
github/fork/xiemoyuan/optimize_error_message
github/fork/yaoxuefeng6/fix_doc
github/fork/yaoxuefeng6/mod_dataset_v2
github/fork/yongqiangma/lod
github/fork/ysh329/fix-clip-by-norm-error
github/fork/ysh329/fix-error-clip-by-value
github/fork/yukavio/error_info
github/fork/zhangting2020/conv_filter_grad
github/fork/zhangting2020/is_compile_with_cuda
github/fork/zhangting2020/place_doc
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github/fork/zhhsplendid/fix_any
github/fork/zhhsplendid/refine_api2
github/fork/zhhsplendid/refine_api2_test
github/fork/zhhsplendid/refine_api_test_ptb_lm
github/fork/zhhsplendid/refine_api_test_resnet
github/fork/zhhsplendid/refine_api_test_simnet
github/fork/zhiqiu/dev/refine_initializer
github/fork/zhiqiu/dev/remove_inplace_argument
github/fork/zlsh80826/nvinfer_plugin_var_len_cuda11
improve_sccache
incubate/frl_train_eval
incubate/infrt
inplace_addto
layer_norm
make_flag_adding_easier
matmul_double_grad
move_embedding_to_phi
move_histogram_to_pten
move_sgd_to_phi
move_slice_to_pten
move_temporal_shift_to_phi
move_yolo_box_to_phi
npu_fix_alloc
numel
paralleltest
preln_ernie
prv-disable-more-cache
prv-md-even-more
prv-onednn-2.5
prv-reshape-mkldnn-ut2
pten_tensor_refactor
release/2.0
release/2.0-beta
release/2.0-rc
release/2.0-rc1
release/2.1
release/2.2
release/2.3
release/2.3-fc-ernie-fix
release/2.4
revert-26856-strategy_example2
revert-27520-disable_pr
revert-31068-fix_conv3d_windows
revert-31562-mean
revert-32290-develop-hardlabel
revert-33037-forci
revert-33475-fix_cifar_label_dimension
revert-33630-bug-fix
revert-34159-add_npu_bce_logical_dev
revert-34406-add_copy_from_tensor
revert-34910-spinlocks_for_allocator
revert-35069-revert-34910-spinlocks_for_allocator
revert-36057-dev/read_flags_in_ut
revert-36201-refine_fast_threaded_ssa_graph_executor
revert-36985-add_license
revert-37318-refactor_dygraph_to_eager
revert-37926-eager_coreops_500
revert-37956-revert-37727-pylayer_support_tuple
revert-38100-mingdong
revert-38301-allocation_rearrange_pr
revert-38703-numpy_bf16_package_reupload
revert-38732-remove_useless_header_in_elementwise_mul_grad
revert-38959-Reduce_Grad
revert-39143-adjust_empty
revert-39227-move_trace_op_to_pten
revert-39268-dev/remove_concat_fluid_kernel
revert-40170-support_partial_grad
revert-41056-revert-40727-move_some_activaion_to_phi
revert-41065-revert-40993-mv_ele_floordiv_pow
revert-41068-revert-40790-phi_new
revert-41944-smaller_inference_api_test
revert-42149-do-not-reset-default-stream-for-stream-safe-cuda-allocator
revert-43155-fix_ut_tempfile
revert-43882-revert-41944-smaller_inference_api_test
revert-45808-phi/simplify_size_op
revert-46827-deform_comment
revert-47325-remove_cudnn_hardcode
revert-47645-add_npu_storage_dims
revert-48815-set_free_when_no_cache_hit_default_value_true
revert-49654-prim_api_gen
revert-49763-fix_static_composite_gen
rocm_dev_0217
support-0D-sort
support_weight_transpose
test_benchmark_ci
test_feature_precision_test_c
test_for_Filtetfiles
test_model_benchmark
test_model_benchmark_ci
zhiqiu-patch-1
v2.4.1
v2.4.0
v2.4.0-rc0
v2.3.2
v2.3.1
v2.3.0
v2.3.0-rc0
v2.2.2
v2.2.1
v2.2.0
v2.2.0-rc0
v2.2.0-bak0
v2.1.3
v2.1.2
v2.1.1
v2.1.0
v2.1.0-rc0
v2.0.2
v2.0.1
v2.0.0
v2.0.0-rc1
v2.0.0-rc0
v2.0.0-beta0
无相关合并请求
变更
6
隐藏空白更改
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并排
Showing
6 changed file
with
157 addition
and
169 deletion
+157
-169
python/paddle/fluid/layers/layer_function_generator.py
python/paddle/fluid/layers/layer_function_generator.py
+1
-0
python/paddle/fluid/layers/ops.py
python/paddle/fluid/layers/ops.py
+17
-5
python/paddle/fluid/tests/unittests/test_activation_op.py
python/paddle/fluid/tests/unittests/test_activation_op.py
+3
-70
python/paddle/fluid/tests/unittests/test_nn_sigmoid_op.py
python/paddle/fluid/tests/unittests/test_nn_sigmoid_op.py
+107
-0
python/paddle/nn/functional/activation.py
python/paddle/nn/functional/activation.py
+2
-62
python/paddle/nn/layer/activation.py
python/paddle/nn/layer/activation.py
+27
-32
未找到文件。
python/paddle/fluid/layers/layer_function_generator.py
浏览文件 @
00e08ce0
...
...
@@ -274,6 +274,7 @@ def generate_activation_fn(op_type):
return
output
func
.
__name__
=
op_type
func
.
__module__
=
"paddle.fluid.layers"
func
.
__doc__
=
_generate_doc_string_
(
op_proto
,
additional_args_lines
=
[
...
...
This diff is collapsed.
Click to expand it.
python/paddle/fluid/layers/ops.py
浏览文件 @
00e08ce0
...
...
@@ -23,10 +23,15 @@ from paddle.utils import deprecated
__activations_noattr__
=
[
'sigmoid'
,
'logsigmoid'
,
'tanh_shrink'
,
'softplus'
,
'softsign'
,
]
__unary_func__
=
[
'exp'
,
'tanh'
,
'atan'
,
'tanh_shrink'
,
'sqrt'
,
'rsqrt'
,
'abs'
,
...
...
@@ -34,15 +39,13 @@ __activations_noattr__ = [
'floor'
,
'cos'
,
'acos'
,
'asin'
,
'sin'
,
'sinh'
,
'asin'
,
'cosh'
,
'round'
,
'reciprocal'
,
'square'
,
'softplus'
,
'softsign'
,
]
__all__
=
[]
...
...
@@ -58,9 +61,18 @@ globals()['_scale'] = generate_layer_fn('scale')
globals
()[
'_elementwise_div'
]
=
generate_layer_fn
(
'elementwise_div'
)
__all__
+=
__activations_noattr__
__all__
+=
__unary_func__
for
_OP
in
set
(
__activations_noattr__
):
globals
()[
_OP
]
=
generate_activation_fn
(
_OP
)
func
=
generate_activation_fn
(
_OP
)
func
=
deprecated
(
since
=
"2.0.0"
,
update_to
=
"paddle.nn.functional.%s"
%
(
_OP
))(
func
)
globals
()[
_OP
]
=
func
for
_OP
in
set
(
__unary_func__
):
func
=
generate_activation_fn
(
_OP
)
func
=
deprecated
(
since
=
"2.0.0"
,
update_to
=
"paddle.%s"
%
(
_OP
))(
func
)
globals
()[
_OP
]
=
func
add_sample_code
(
globals
()[
"sigmoid"
],
r
"""
Examples:
...
...
This diff is collapsed.
Click to expand it.
python/paddle/fluid/tests/unittests/test_activation_op.py
浏览文件 @
00e08ce0
...
...
@@ -1440,9 +1440,9 @@ class TestNNReluAPI(unittest.TestCase):
y_t
[
y_t
>
0
]
=
1
return
y_t
*
dy
def
check_api
(
self
,
place
=
fluid
.
CPUPlace
()
,
inplace
=
False
):
def
check_api
(
self
,
place
=
fluid
.
CPUPlace
()):
main_program
=
Program
()
myrelu
=
nn
.
ReLU
(
inplace
)
myrelu
=
nn
.
ReLU
()
with
fluid
.
program_guard
(
main_program
):
x
=
fluid
.
data
(
name
=
'x'
,
shape
=
self
.
x_shape
)
x
.
stop_gradient
=
False
...
...
@@ -1465,8 +1465,7 @@ class TestNNReluAPI(unittest.TestCase):
if
core
.
is_compiled_with_cuda
():
places
.
append
(
fluid
.
CUDAPlace
(
0
))
for
place
in
places
:
for
inplace
in
[
True
,
False
]:
self
.
check_api
(
place
,
inplace
)
self
.
check_api
(
place
)
class
TestNNFunctionalReluAPI
(
unittest
.
TestCase
):
...
...
@@ -1491,71 +1490,5 @@ class TestNNFunctionalReluAPI(unittest.TestCase):
self
.
assertTrue
(
np
.
allclose
(
out
[
0
],
self
.
y
))
class
TestNNSigmoidAPI
(
unittest
.
TestCase
):
def
setUp
(
self
):
self
.
init_data
()
def
init_data
(
self
):
self
.
x_shape
=
[
10
,
15
]
self
.
x
=
np
.
random
.
uniform
(
-
1
,
1
,
self
.
x_shape
).
astype
(
np
.
float32
)
self
.
y
=
self
.
ref_forward
(
self
.
x
)
def
ref_forward
(
self
,
x
):
return
1
/
(
1
+
np
.
exp
(
-
x
))
def
ref_backward
(
self
,
y
,
dy
):
return
dy
*
y
*
(
1
-
y
)
def
check_api
(
self
,
place
=
fluid
.
CPUPlace
(),
inplace
=
False
):
main_program
=
Program
()
mysigmoid
=
nn
.
Sigmoid
(
inplace
)
with
fluid
.
program_guard
(
main_program
):
x
=
fluid
.
data
(
name
=
'x'
,
shape
=
self
.
x_shape
)
x
.
stop_gradient
=
False
y
=
mysigmoid
(
x
)
fluid
.
backward
.
append_backward
(
fluid
.
layers
.
mean
(
y
))
exe
=
fluid
.
Executor
(
place
)
out
=
exe
.
run
(
main_program
,
feed
=
{
'x'
:
self
.
x
},
fetch_list
=
[
y
,
y
.
grad_name
,
x
.
grad_name
])
self
.
assertTrue
(
np
.
allclose
(
out
[
0
],
self
.
y
))
self
.
assertTrue
(
np
.
allclose
(
out
[
2
],
self
.
ref_backward
(
self
.
y
,
out
[
1
])))
with
fluid
.
dygraph
.
guard
(
place
):
x
=
fluid
.
dygraph
.
to_variable
(
self
.
x
)
y
=
mysigmoid
(
x
)
self
.
assertTrue
(
np
.
allclose
(
y
.
numpy
(),
self
.
y
))
def
test_check_api
(
self
):
places
=
[
fluid
.
CPUPlace
()]
if
core
.
is_compiled_with_cuda
():
places
.
append
(
fluid
.
CUDAPlace
(
0
))
for
place
in
places
:
for
inplace
in
[
True
,
False
]:
self
.
check_api
(
place
,
inplace
)
class
TestNNFunctionalSigmoidAPI
(
unittest
.
TestCase
):
def
setUp
(
self
):
self
.
init_data
()
def
init_data
(
self
):
self
.
x_shape
=
[
10
,
15
]
self
.
x
=
np
.
random
.
uniform
(
-
1
,
1
,
self
.
x_shape
).
astype
(
np
.
float32
)
self
.
y
=
self
.
ref_forward
(
self
.
x
)
def
ref_forward
(
self
,
x
):
return
1
/
(
1
+
np
.
exp
(
-
x
))
def
test_check_api
(
self
):
main_program
=
Program
()
with
fluid
.
program_guard
(
main_program
):
x
=
fluid
.
data
(
name
=
'x'
,
shape
=
self
.
x_shape
)
y
=
F
.
sigmoid
(
x
)
exe
=
fluid
.
Executor
(
fluid
.
CPUPlace
())
out
=
exe
.
run
(
main_program
,
feed
=
{
'x'
:
self
.
x
},
fetch_list
=
[
y
])
self
.
assertTrue
(
np
.
allclose
(
out
[
0
],
self
.
y
))
if
__name__
==
"__main__"
:
unittest
.
main
()
This diff is collapsed.
Click to expand it.
python/paddle/fluid/tests/unittests/test_nn_sigmoid_op.py
0 → 100644
浏览文件 @
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# 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.
from
__future__
import
print_function
import
unittest
import
numpy
as
np
import
paddle.fluid.core
as
core
from
op_test
import
OpTest
from
scipy.special
import
expit
,
erf
import
paddle
import
paddle.fluid
as
fluid
import
paddle.nn
as
nn
import
paddle.nn.functional
as
functional
class
TestNNSigmoidAPI
(
unittest
.
TestCase
):
def
setUp
(
self
):
self
.
init_data
()
def
init_data
(
self
):
self
.
x_shape
=
[
10
,
15
]
self
.
x
=
np
.
random
.
uniform
(
-
1
,
1
,
self
.
x_shape
).
astype
(
np
.
float32
)
self
.
y
=
self
.
ref_forward
(
self
.
x
)
def
ref_forward
(
self
,
x
):
return
1
/
(
1
+
np
.
exp
(
-
x
))
def
ref_backward
(
self
,
y
,
dy
):
return
dy
*
y
*
(
1
-
y
)
def
check_static_api
(
self
,
place
):
paddle
.
enable_static
()
main_program
=
paddle
.
static
.
Program
()
mysigmoid
=
nn
.
Sigmoid
(
name
=
"api_sigmoid"
)
with
paddle
.
static
.
program_guard
(
main_program
):
x
=
paddle
.
nn
.
data
(
name
=
'x'
,
shape
=
self
.
x_shape
)
x
.
stop_gradient
=
False
y
=
mysigmoid
(
x
)
fluid
.
backward
.
append_backward
(
paddle
.
mean
(
y
))
exe
=
paddle
.
static
.
Executor
(
place
)
out
=
exe
.
run
(
main_program
,
feed
=
{
'x'
:
self
.
x
},
fetch_list
=
[
y
])
self
.
assertTrue
(
np
.
allclose
(
out
[
0
],
self
.
y
))
self
.
assertTrue
(
y
.
name
.
startswith
(
"api_sigmoid"
))
def
check_dynamic_api
(
self
,
place
):
paddle
.
disable_static
(
place
)
x
=
paddle
.
to_variable
(
self
.
x
)
mysigmoid
=
nn
.
Sigmoid
()
y
=
mysigmoid
(
x
)
self
.
assertTrue
(
np
.
allclose
(
y
.
numpy
(),
self
.
y
))
def
test_check_api
(
self
):
places
=
[
fluid
.
CPUPlace
()]
if
core
.
is_compiled_with_cuda
():
places
.
append
(
fluid
.
CUDAPlace
(
0
))
for
place
in
places
:
self
.
check_dynamic_api
(
place
)
self
.
check_static_api
(
place
)
class
TestNNFunctionalSigmoidAPI
(
unittest
.
TestCase
):
def
setUp
(
self
):
self
.
init_data
()
def
init_data
(
self
):
self
.
x_shape
=
[
10
,
15
]
self
.
x
=
np
.
random
.
uniform
(
-
1
,
1
,
self
.
x_shape
).
astype
(
np
.
float32
)
self
.
y
=
self
.
ref_forward
(
self
.
x
)
def
ref_forward
(
self
,
x
):
return
1
/
(
1
+
np
.
exp
(
-
x
))
def
check_static_api
(
self
,
place
):
paddle
.
enable_static
()
main_program
=
paddle
.
static
.
Program
()
with
paddle
.
static
.
program_guard
(
main_program
):
x
=
paddle
.
nn
.
data
(
name
=
'x'
,
shape
=
self
.
x_shape
)
y
=
functional
.
sigmoid
(
x
,
name
=
"api_sigmoid"
)
exe
=
paddle
.
static
.
Executor
(
fluid
.
CPUPlace
())
out
=
exe
.
run
(
main_program
,
feed
=
{
'x'
:
self
.
x
},
fetch_list
=
[
y
])
self
.
assertTrue
(
np
.
allclose
(
out
[
0
],
self
.
y
))
def
check_dynamic_api
(
self
):
paddle
.
disable_static
()
x
=
paddle
.
to_variable
(
self
.
x
)
y
=
functional
.
sigmoid
(
x
)
self
.
assertTrue
(
np
.
allclose
(
y
.
numpy
(),
self
.
y
))
def
test_check_api
(
self
):
places
=
[
fluid
.
CPUPlace
()]
if
core
.
is_compiled_with_cuda
():
places
.
append
(
fluid
.
CUDAPlace
(
0
))
for
place
in
places
:
self
.
check_static_api
(
place
)
self
.
check_dynamic_api
()
This diff is collapsed.
Click to expand it.
python/paddle/nn/functional/activation.py
浏览文件 @
00e08ce0
...
...
@@ -29,6 +29,7 @@ from ...fluid.layers import softplus #DEFINE_ALIAS
from
...fluid.layers
import
softshrink
#DEFINE_ALIAS
from
...fluid.layers
import
softsign
#DEFINE_ALIAS
from
...fluid.layers
import
swish
#DEFINE_ALIAS
from
...fluid.layers
import
sigmoid
#DEFINE_ALIAS
from
...fluid.layers
import
tanh_shrink
#DEFINE_ALIAS
from
...fluid.layers
import
thresholded_relu
#DEFINE_ALIAS
...
...
@@ -48,12 +49,12 @@ __all__ = [
'relu'
,
'relu6'
,
'selu'
,
'sigmoid'
,
'soft_relu'
,
'softmax'
,
'softplus'
,
'softshrink'
,
'softsign'
,
'sigmoid'
,
'swish'
,
'tanh_shrink'
,
'thresholded_relu'
,
...
...
@@ -296,67 +297,6 @@ def relu(input, inplace=False, name=None):
return
outs
def
sigmoid
(
input
,
inplace
=
False
,
name
=
None
):
"""
:alias_main: paddle.nn.functional.sigmoid
:alias: paddle.nn.functional.sigmoid,paddle.nn.functional.activation.sigmoid
Sigmoid Activation.
.. math:
output =
\f
rac{1}{1 + e^{-input}}
Parameters:
input (Variable): The input variable. A multi-dimension Tensor with type float16, float32, or float64.
inplace (bool, optional): If inplace is True, the input and output are the same variable.
Otherwise, the input and output of are different variables. Default: False. Note that if x is
more than one OPs' input, inplace must be False.
name (str, optional): The default value is None. Normally there is no need for user to set this property.
For more information, please refer to :ref:`api_guide_Name` .
Returns:
Output of sigmoid operator, a Tensor with shape same as input
Examples:
.. code-block:: python
import paddle.fluid as fluid
import paddle.nn.functional as functional
import numpy as np
# In the static graph mode
input = fluid.data(name="input", shape=[None, 4])
output = functional.sigmoid(input)
place = fluid.CPUPlace()
exe = fluid.Executor(place)
exe.run(fluid.default_startup_program())
input_data = np.array([1.0, 2.0, 3.0, 4.0]).astype('float32')
output_data = exe.run(feed={"input": input_data},
fetch_list=[output])
print(output_data) # [0.7310586, 0.880797, 0.95257413, 0.98201376]
# In the dynamic graph mode
with fluid.dygraph.guard():
input = fluid.dygraph.to_variable(input_data)
output = functional.sigmoid(input)
print(output) # [0.7310586, 0.880797, 0.95257413, 0.98201376]
"""
if
in_dygraph_mode
():
if
inplace
:
warnings
.
warn
(
"Inplace on sigmoid is not allowed and will be discarded in dygraph mode currently."
)
return
core
.
ops
.
sigmoid
(
input
)
check_variable_and_dtype
(
input
,
'input'
,
[
'float16'
,
'float32'
,
'float64'
],
'sigmoid'
)
helper
=
LayerHelper
(
"sigmoid"
,
**
locals
())
outputs
=
helper
.
create_variable_for_type_inference
(
input
.
dtype
)
helper
.
append_op
(
type
=
'sigmoid'
,
inputs
=
{
'X'
:
[
input
]},
outputs
=
{
'Out'
:
outputs
})
return
outputs
def
softmax
(
x
,
axis
=-
1
,
name
=
None
):
"""
This operator implements the softmax layer. The calculation process is as follows:
...
...
This diff is collapsed.
Click to expand it.
python/paddle/nn/layer/activation.py
浏览文件 @
00e08ce0
...
...
@@ -28,7 +28,7 @@ __all__ = [
from
...fluid.dygraph
import
layers
from
...fluid
import
core
from
...fluid.framework
import
in_dygraph_mode
from
..
import
functional
from
..
import
functional
as
F
class
Hardshrink
(
layers
.
Layer
):
...
...
@@ -75,7 +75,7 @@ class Hardshrink(layers.Layer):
self
.
_name
=
name
def
forward
(
self
,
x
):
return
functional
.
hardshrink
(
x
,
self
.
_threshold
,
self
.
_name
)
return
F
.
hardshrink
(
x
,
self
.
_threshold
,
self
.
_name
)
class
HSigmoid
(
layers
.
Layer
):
...
...
@@ -202,7 +202,7 @@ class HSigmoid(layers.Layer):
[
C
,
1
],
attr
=
self
.
_bias_attr
,
is_bias
=
True
,
dtype
=
self
.
_dtype
)
def
forward
(
self
,
input
,
label
,
path_table
=
None
,
path_code
=
None
):
out
=
functional
.
hsigmoid
(
out
=
F
.
hsigmoid
(
input
,
label
,
self
.
weight
,
...
...
@@ -253,7 +253,7 @@ class ReLU(layers.Layer):
self
.
_inplace
=
inplace
def
forward
(
self
,
input
):
return
functional
.
relu
(
input
,
self
.
_inplace
)
return
F
.
relu
(
input
,
self
.
_inplace
)
class
LeakyReLU
(
layers
.
Layer
):
...
...
@@ -293,52 +293,47 @@ class LeakyReLU(layers.Layer):
self
.
_name
=
name
def
forward
(
self
,
x
):
return
functional
.
leaky_relu
(
x
,
self
.
_alpha
,
self
.
_name
)
return
F
.
leaky_relu
(
x
,
self
.
_alpha
,
self
.
_name
)
class
Sigmoid
(
layers
.
Layer
):
"""
:alias_main: paddle.nn.Sigmoid
:alias: paddle.nn.Sigmoid,paddle.nn.layer.Sigmoid,paddle.nn.layer.activation.Sigmoid
this interface is used to construct a callable object of the ``Sigmoid`` class. This layer calcluate the `sigmoid` of input x.
.. math::
Sigmoid Activation.
output =
\\
frac{1}{1 + e^{-x}}
.. math:
Parameters:
name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`.
output =
\f
rac{1}{1 + e^{-input}}
Shape:
x: N-D tensor, available dtype is float16, float32, float64.
Parameters:
inplace (bool, optional): If inplace is True, the input and output
are the same variable. Otherwise, the input and output
are different variables. Default False. Note that if x is
more than one OPs' input, inplace must be False.
Returns:
None
A callable object of Sigmoid.
Examples:
.. code-block:: python
import paddle.fluid as fluid
import paddle.nn as nn
import numpy as np
input = fluid.data(name="input", shape=[None, 4])
output = nn.Sigmoid()(input)
place = fluid.CPUPlace()
exe = fluid.Executor(place)
exe.run(fluid.default_startup_program())
import paddle
paddle.disable_static()
input_data = np.array([1.0, 2.0, 3.0, 4.0]).astype('float32')
output_data = exe.run(feed={"input": input_data},
fetch_list=[output])
print(output_data) # [0.7310586, 0.880797, 0.95257413, 0.98201376]
m = paddle.nn.Sigmoid()
x = paddle.to_variable(input_data)
output = m(x)
print(output.numpy()) # [0.7310586, 0.880797, 0.95257413, 0.98201376]
"""
def
__init__
(
self
,
inplace
=
Fals
e
):
def
__init__
(
self
,
name
=
Non
e
):
super
(
Sigmoid
,
self
).
__init__
()
self
.
_inplace
=
inplac
e
self
.
name
=
nam
e
def
forward
(
self
,
input
):
return
functional
.
sigmoid
(
input
,
self
.
_inplac
e
)
def
forward
(
self
,
x
):
return
F
.
sigmoid
(
x
,
self
.
nam
e
)
class
LogSoftmax
(
layers
.
Layer
):
...
...
@@ -394,4 +389,4 @@ class LogSoftmax(layers.Layer):
self
.
_axis
=
axis
def
forward
(
self
,
input
):
return
functional
.
log_softmax
(
input
,
self
.
_axis
)
return
F
.
log_softmax
(
input
,
self
.
_axis
)
This diff is collapsed.
Click to expand it.
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