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50ad9046
编写于
5月 09, 2019
作者:
X
xiaoting
提交者:
Cheerego
5月 09, 2019
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差异文件
add import, test=develop (#17229)
上级
4292bd86
变更
4
隐藏空白更改
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并排
Showing
4 changed file
with
65 addition
and
20 deletion
+65
-20
paddle/fluid/API.spec
paddle/fluid/API.spec
+4
-4
python/paddle/fluid/initializer.py
python/paddle/fluid/initializer.py
+6
-0
python/paddle/fluid/layers/detection.py
python/paddle/fluid/layers/detection.py
+2
-1
python/paddle/fluid/layers/learning_rate_scheduler.py
python/paddle/fluid/layers/learning_rate_scheduler.py
+53
-15
未找到文件。
paddle/fluid/API.spec
浏览文件 @
50ad9046
...
@@ -351,7 +351,7 @@ paddle.fluid.layers.iou_similarity (ArgSpec(args=['x', 'y', 'name'], varargs=Non
...
@@ -351,7 +351,7 @@ paddle.fluid.layers.iou_similarity (ArgSpec(args=['x', 'y', 'name'], varargs=Non
paddle.fluid.layers.box_coder (ArgSpec(args=['prior_box', 'prior_box_var', 'target_box', 'code_type', 'box_normalized', 'name', 'axis'], varargs=None, keywords=None, defaults=('encode_center_size', True, None, 0)), ('document', '032d0f4b7d8f6235ee5d91e473344f0e'))
paddle.fluid.layers.box_coder (ArgSpec(args=['prior_box', 'prior_box_var', 'target_box', 'code_type', 'box_normalized', 'name', 'axis'], varargs=None, keywords=None, defaults=('encode_center_size', True, None, 0)), ('document', '032d0f4b7d8f6235ee5d91e473344f0e'))
paddle.fluid.layers.polygon_box_transform (ArgSpec(args=['input', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '0e5ac2507723a0b5adec473f9556799b'))
paddle.fluid.layers.polygon_box_transform (ArgSpec(args=['input', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '0e5ac2507723a0b5adec473f9556799b'))
paddle.fluid.layers.yolov3_loss (ArgSpec(args=['x', 'gt_box', 'gt_label', 'anchors', 'anchor_mask', 'class_num', 'ignore_thresh', 'downsample_ratio', 'gt_score', 'use_label_smooth', 'name'], varargs=None, keywords=None, defaults=(None, True, None)), ('document', 'eb62b1ff7cc981f3483a62321a491f2e'))
paddle.fluid.layers.yolov3_loss (ArgSpec(args=['x', 'gt_box', 'gt_label', 'anchors', 'anchor_mask', 'class_num', 'ignore_thresh', 'downsample_ratio', 'gt_score', 'use_label_smooth', 'name'], varargs=None, keywords=None, defaults=(None, True, None)), ('document', 'eb62b1ff7cc981f3483a62321a491f2e'))
paddle.fluid.layers.yolo_box (ArgSpec(args=['x', 'img_size', 'anchors', 'class_num', 'conf_thresh', 'downsample_ratio', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '
5566169a5ab993d177792c023c7fb34
0'))
paddle.fluid.layers.yolo_box (ArgSpec(args=['x', 'img_size', 'anchors', 'class_num', 'conf_thresh', 'downsample_ratio', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '
f332fb8c5bb581bd1a6b5be450a9999
0'))
paddle.fluid.layers.box_clip (ArgSpec(args=['input', 'im_info', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '04384378ff00a42ade8fabd52e27cbc5'))
paddle.fluid.layers.box_clip (ArgSpec(args=['input', 'im_info', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '04384378ff00a42ade8fabd52e27cbc5'))
paddle.fluid.layers.multiclass_nms (ArgSpec(args=['bboxes', 'scores', 'score_threshold', 'nms_top_k', 'keep_top_k', 'nms_threshold', 'normalized', 'nms_eta', 'background_label', 'name'], varargs=None, keywords=None, defaults=(0.3, True, 1.0, 0, None)), ('document', 'ca7d1107b6c5d2d6d8221039a220fde0'))
paddle.fluid.layers.multiclass_nms (ArgSpec(args=['bboxes', 'scores', 'score_threshold', 'nms_top_k', 'keep_top_k', 'nms_threshold', 'normalized', 'nms_eta', 'background_label', 'name'], varargs=None, keywords=None, defaults=(0.3, True, 1.0, 0, None)), ('document', 'ca7d1107b6c5d2d6d8221039a220fde0'))
paddle.fluid.layers.distribute_fpn_proposals (ArgSpec(args=['fpn_rois', 'min_level', 'max_level', 'refer_level', 'refer_scale', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '7bb011ec26bace2bc23235aa4a17647d'))
paddle.fluid.layers.distribute_fpn_proposals (ArgSpec(args=['fpn_rois', 'min_level', 'max_level', 'refer_level', 'refer_scale', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '7bb011ec26bace2bc23235aa4a17647d'))
...
@@ -361,9 +361,9 @@ paddle.fluid.layers.auc (ArgSpec(args=['input', 'label', 'curve', 'num_threshold
...
@@ -361,9 +361,9 @@ paddle.fluid.layers.auc (ArgSpec(args=['input', 'label', 'curve', 'num_threshold
paddle.fluid.layers.exponential_decay (ArgSpec(args=['learning_rate', 'decay_steps', 'decay_rate', 'staircase'], varargs=None, keywords=None, defaults=(False,)), ('document', '98a5050bee8522fcea81aa795adaba51'))
paddle.fluid.layers.exponential_decay (ArgSpec(args=['learning_rate', 'decay_steps', 'decay_rate', 'staircase'], varargs=None, keywords=None, defaults=(False,)), ('document', '98a5050bee8522fcea81aa795adaba51'))
paddle.fluid.layers.natural_exp_decay (ArgSpec(args=['learning_rate', 'decay_steps', 'decay_rate', 'staircase'], varargs=None, keywords=None, defaults=(False,)), ('document', '676a7bc2a218691db50bca233903d21e'))
paddle.fluid.layers.natural_exp_decay (ArgSpec(args=['learning_rate', 'decay_steps', 'decay_rate', 'staircase'], varargs=None, keywords=None, defaults=(False,)), ('document', '676a7bc2a218691db50bca233903d21e'))
paddle.fluid.layers.inverse_time_decay (ArgSpec(args=['learning_rate', 'decay_steps', 'decay_rate', 'staircase'], varargs=None, keywords=None, defaults=(False,)), ('document', 'd07e767d59c4a5e6c930f3e6756d3f82'))
paddle.fluid.layers.inverse_time_decay (ArgSpec(args=['learning_rate', 'decay_steps', 'decay_rate', 'staircase'], varargs=None, keywords=None, defaults=(False,)), ('document', 'd07e767d59c4a5e6c930f3e6756d3f82'))
paddle.fluid.layers.polynomial_decay (ArgSpec(args=['learning_rate', 'decay_steps', 'end_learning_rate', 'power', 'cycle'], varargs=None, keywords=None, defaults=(0.0001, 1.0, False)), ('document', '
882634f420f626642f0874481263da40
'))
paddle.fluid.layers.polynomial_decay (ArgSpec(args=['learning_rate', 'decay_steps', 'end_learning_rate', 'power', 'cycle'], varargs=None, keywords=None, defaults=(0.0001, 1.0, False)), ('document', '
a343254c36c2e89512cd8cd8a1960ead
'))
paddle.fluid.layers.piecewise_decay (ArgSpec(args=['boundaries', 'values'], varargs=None, keywords=None, defaults=None), ('document', '
c717d9d1d78a53c809d01b8bc56f3cae
'))
paddle.fluid.layers.piecewise_decay (ArgSpec(args=['boundaries', 'values'], varargs=None, keywords=None, defaults=None), ('document', '
d9f654117542c6b702963dda107a247f
'))
paddle.fluid.layers.noam_decay (ArgSpec(args=['d_model', 'warmup_steps'], varargs=None, keywords=None, defaults=None), ('document', '
d9a95746353fd574be36dc28d8726c28
'))
paddle.fluid.layers.noam_decay (ArgSpec(args=['d_model', 'warmup_steps'], varargs=None, keywords=None, defaults=None), ('document', '
f96805b1a64f9a12f4627497e5fcb920
'))
paddle.fluid.layers.cosine_decay (ArgSpec(args=['learning_rate', 'step_each_epoch', 'epochs'], varargs=None, keywords=None, defaults=None), ('document', 'f8b2727bccf0f368c997d7cf05847e49'))
paddle.fluid.layers.cosine_decay (ArgSpec(args=['learning_rate', 'step_each_epoch', 'epochs'], varargs=None, keywords=None, defaults=None), ('document', 'f8b2727bccf0f368c997d7cf05847e49'))
paddle.fluid.layers.linear_lr_warmup (ArgSpec(args=['learning_rate', 'warmup_steps', 'start_lr', 'end_lr'], varargs=None, keywords=None, defaults=None), ('document', '2ef3f5ca5cd71ea4217c418e5a7a0565'))
paddle.fluid.layers.linear_lr_warmup (ArgSpec(args=['learning_rate', 'warmup_steps', 'start_lr', 'end_lr'], varargs=None, keywords=None, defaults=None), ('document', '2ef3f5ca5cd71ea4217c418e5a7a0565'))
paddle.fluid.contrib.InitState.__init__ (ArgSpec(args=['self', 'init', 'shape', 'value', 'init_boot', 'need_reorder', 'dtype'], varargs=None, keywords=None, defaults=(None, None, 0.0, None, False, 'float32')), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.contrib.InitState.__init__ (ArgSpec(args=['self', 'init', 'shape', 'value', 'init_boot', 'need_reorder', 'dtype'], varargs=None, keywords=None, defaults=(None, None, 0.0, None, False, 'float32')), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
...
...
python/paddle/fluid/initializer.py
浏览文件 @
50ad9046
...
@@ -205,6 +205,8 @@ class UniformInitializer(Initializer):
...
@@ -205,6 +205,8 @@ class UniformInitializer(Initializer):
Examples:
Examples:
.. code-block:: python
.. code-block:: python
import paddle.fluid as fluid
x = fluid.layers.data(name='x', shape=[1], dtype='float32')
fc = fluid.layers.fc(input=x, size=10,
fc = fluid.layers.fc(input=x, size=10,
param_attr=fluid.initializer.Uniform(low=-0.5, high=0.5))
param_attr=fluid.initializer.Uniform(low=-0.5, high=0.5))
"""
"""
...
@@ -366,6 +368,8 @@ class TruncatedNormalInitializer(Initializer):
...
@@ -366,6 +368,8 @@ class TruncatedNormalInitializer(Initializer):
Examples:
Examples:
.. code-block:: python
.. code-block:: python
import paddle.fluid as fluid
x = fluid.layers.data(name='x', shape=[1], dtype='float32')
fc = fluid.layers.fc(input=x, size=10,
fc = fluid.layers.fc(input=x, size=10,
param_attr=fluid.initializer.TruncatedNormal(loc=0.0, scale=2.0))
param_attr=fluid.initializer.TruncatedNormal(loc=0.0, scale=2.0))
"""
"""
...
@@ -471,6 +475,8 @@ class XavierInitializer(Initializer):
...
@@ -471,6 +475,8 @@ class XavierInitializer(Initializer):
Examples:
Examples:
.. code-block:: python
.. code-block:: python
import paddle.fluid as fluid
queries = fluid.layers.data(name='x', shape=[1], dtype='float32')
fc = fluid.layers.fc(
fc = fluid.layers.fc(
input=queries, size=10,
input=queries, size=10,
param_attr=fluid.initializer.Xavier(uniform=False))
param_attr=fluid.initializer.Xavier(uniform=False))
...
...
python/paddle/fluid/layers/detection.py
浏览文件 @
50ad9046
...
@@ -666,9 +666,10 @@ def yolo_box(x,
...
@@ -666,9 +666,10 @@ def yolo_box(x,
.. code-block:: python
.. code-block:: python
import paddle.fluid as fluid
x = fluid.layers.data(name='x', shape=[255, 13, 13], dtype='float32')
x = fluid.layers.data(name='x', shape=[255, 13, 13], dtype='float32')
anchors = [10, 13, 16, 30, 33, 23]
anchors = [10, 13, 16, 30, 33, 23]
loss = fluid.layers.yolo_box(x=x, class_num=80, anchors=anchors,
loss = fluid.layers.yolo_box(x=x,
img_size=608,
class_num=80, anchors=anchors,
conf_thresh=0.01, downsample_ratio=32)
conf_thresh=0.01, downsample_ratio=32)
"""
"""
helper
=
LayerHelper
(
'yolo_box'
,
**
locals
())
helper
=
LayerHelper
(
'yolo_box'
,
**
locals
())
...
...
python/paddle/fluid/layers/learning_rate_scheduler.py
浏览文件 @
50ad9046
...
@@ -52,10 +52,17 @@ def noam_decay(d_model, warmup_steps):
...
@@ -52,10 +52,17 @@ def noam_decay(d_model, warmup_steps):
"""
"""
Noam decay method. The numpy implementation of noam decay as follows.
Noam decay method. The numpy implementation of noam decay as follows.
>>> import numpy as np
.. code-block:: python
>>> lr_value = np.power(d_model, -0.5) * np.min([
>>> np.power(current_steps, -0.5),
import numpy as np
>>> np.power(warmup_steps, -1.5) * current_steps])
# set hyper parameters
d_model = 2
current_steps = 20
warmup_steps = 200
# compute
lr_value = np.power(d_model, -0.5) * np.min([
np.power(current_steps, -0.5),
np.power(warmup_steps, -1.5) * current_steps])
Please reference `attention is all you need
Please reference `attention is all you need
<https://arxiv.org/pdf/1706.03762.pdf>`_.
<https://arxiv.org/pdf/1706.03762.pdf>`_.
...
@@ -67,6 +74,15 @@ def noam_decay(d_model, warmup_steps):
...
@@ -67,6 +74,15 @@ def noam_decay(d_model, warmup_steps):
Returns:
Returns:
The decayed learning rate.
The decayed learning rate.
Examples:
.. code-block:: python
import padde.fluid as fluid
warmup_steps = 100
learning_rate = 0.01
lr = fluid.layers.learning_rate_scheduler.noam_decay(
1/(warmup_steps *(learning_rate ** 2)),
warmup_steps)
"""
"""
with
default_main_program
().
_lr_schedule_guard
():
with
default_main_program
().
_lr_schedule_guard
():
if
imperative_base
.
enabled
():
if
imperative_base
.
enabled
():
...
@@ -228,7 +244,7 @@ def polynomial_decay(learning_rate,
...
@@ -228,7 +244,7 @@ def polynomial_decay(learning_rate,
"""
"""
Applies polynomial decay to the initial learning rate.
Applies polynomial decay to the initial learning rate.
.. code-block::
python
.. code-block::
text
if cycle:
if cycle:
decay_steps = decay_steps * ceil(global_step / decay_steps)
decay_steps = decay_steps * ceil(global_step / decay_steps)
...
@@ -247,6 +263,17 @@ def polynomial_decay(learning_rate,
...
@@ -247,6 +263,17 @@ def polynomial_decay(learning_rate,
Returns:
Returns:
Variable: The decayed learning rate
Variable: The decayed learning rate
Examples:
.. code-block:: python
import paddle.fluid as fluid
start_lr = 0.01
total_step = 5000
end_lr = 0
lr = fluid.layers.polynomial_decay(
start_lr, total_step, end_lr, power=1)
"""
"""
with
default_main_program
().
_lr_schedule_guard
():
with
default_main_program
().
_lr_schedule_guard
():
if
imperative_base
.
enabled
():
if
imperative_base
.
enabled
():
...
@@ -281,18 +308,18 @@ def polynomial_decay(learning_rate,
...
@@ -281,18 +308,18 @@ def polynomial_decay(learning_rate,
def
piecewise_decay
(
boundaries
,
values
):
def
piecewise_decay
(
boundaries
,
values
):
"""Applies piecewise decay to the initial learning rate.
"""Applies piecewise decay to the initial learning rate.
The algorithm can be described as the code below.
The algorithm can be described as the code below.
.. code-block:: python
.. code-block:: text
boundaries = [10000, 20000]
boundaries = [10000, 20000]
values = [1.0, 0.5, 0.1]
values = [1.0, 0.5, 0.1]
if step < 10000:
if step < 10000:
learning_rate = 1.0
learning_rate = 1.0
elif 10000 <= step < 20000:
elif 10000 <= step < 20000:
learning_rate = 0.5
learning_rate = 0.5
else:
else:
learning_rate = 0.1
learning_rate = 0.1
Args:
Args:
boundaries: A list of steps numbers.
boundaries: A list of steps numbers.
values: A list of learning rate values that will be picked during
values: A list of learning rate values that will be picked during
...
@@ -301,6 +328,17 @@ def piecewise_decay(boundaries, values):
...
@@ -301,6 +328,17 @@ def piecewise_decay(boundaries, values):
Returns:
Returns:
The decayed learning rate.
The decayed learning rate.
Examples:
.. code-block:: python
import paddle.fluid as fluid
boundaries = [10000, 20000]
values = [1.0, 0.5, 0.1]
optimizer = fluid.optimizer.Momentum(
momentum=0.9,
learning_rate=fluid.layers.piecewise_decay(boundaries=boundaries, values=values),
regularization=fluid.regularizer.L2Decay(1e-4))
"""
"""
with
default_main_program
().
_lr_schedule_guard
():
with
default_main_program
().
_lr_schedule_guard
():
...
...
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