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体验新版 GitCode,发现更多精彩内容 >>
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20e5ef62
编写于
6月 17, 2018
作者:
Y
Yu Yang
提交者:
GitHub
6月 17, 2018
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Merge pull request #11483 from wanghaoshuang/origin/whs_doc
Fix doc of relu, log and zeros.
上级
1171c2c5
cd5d7704
变更
3
隐藏空白更改
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并排
Showing
3 changed file
with
76 addition
and
73 deletion
+76
-73
python/paddle/fluid/layers/nn.py
python/paddle/fluid/layers/nn.py
+72
-68
python/paddle/fluid/layers/ops.py
python/paddle/fluid/layers/ops.py
+0
-2
python/paddle/fluid/layers/tensor.py
python/paddle/fluid/layers/tensor.py
+4
-3
未找到文件。
python/paddle/fluid/layers/nn.py
浏览文件 @
20e5ef62
...
...
@@ -25,72 +25,21 @@ import utils
import
random
__all__
=
[
'fc'
,
'embedding'
,
'dynamic_lstm'
,
'dynamic_lstmp'
,
'dynamic_gru'
,
'gru_unit'
,
'linear_chain_crf'
,
'crf_decoding'
,
'cos_sim'
,
'cross_entropy'
,
'square_error_cost'
,
'chunk_eval'
,
'sequence_conv'
,
'conv2d'
,
'conv3d'
,
'sequence_pool'
,
'sequence_softmax'
,
'softmax'
,
'pool2d'
,
'pool3d'
,
'batch_norm'
,
'beam_search_decode'
,
'conv2d_transpose'
,
'conv3d_transpose'
,
'sequence_expand'
,
'lstm_unit'
,
'reduce_sum'
,
'reduce_mean'
,
'reduce_max'
,
'reduce_min'
,
'reduce_prod'
,
'sequence_first_step'
,
'sequence_last_step'
,
'dropout'
,
'split'
,
'ctc_greedy_decoder'
,
'edit_distance'
,
'l2_normalize'
,
'matmul'
,
'topk'
,
'warpctc'
,
'sequence_reshape'
,
'transpose'
,
'im2sequence'
,
'nce'
,
'beam_search'
,
'row_conv'
,
'multiplex'
,
'layer_norm'
,
'softmax_with_cross_entropy'
,
'smooth_l1'
,
'one_hot'
,
'autoincreased_step_counter'
,
'reshape'
,
'lod_reset'
,
'lrn'
,
'pad'
,
'label_smooth'
,
'roi_pool'
,
'dice_loss'
,
'image_resize'
,
'image_resize_short'
,
'resize_bilinear'
,
'gather'
,
'random_crop'
,
'mean_iou'
,
'fc'
,
'embedding'
,
'dynamic_lstm'
,
'dynamic_lstmp'
,
'dynamic_gru'
,
'gru_unit'
,
'linear_chain_crf'
,
'crf_decoding'
,
'cos_sim'
,
'cross_entropy'
,
'square_error_cost'
,
'chunk_eval'
,
'sequence_conv'
,
'conv2d'
,
'conv3d'
,
'sequence_pool'
,
'sequence_softmax'
,
'softmax'
,
'pool2d'
,
'pool3d'
,
'batch_norm'
,
'beam_search_decode'
,
'conv2d_transpose'
,
'conv3d_transpose'
,
'sequence_expand'
,
'lstm_unit'
,
'reduce_sum'
,
'reduce_mean'
,
'reduce_max'
,
'reduce_min'
,
'reduce_prod'
,
'sequence_first_step'
,
'sequence_last_step'
,
'dropout'
,
'split'
,
'ctc_greedy_decoder'
,
'edit_distance'
,
'l2_normalize'
,
'matmul'
,
'topk'
,
'warpctc'
,
'sequence_reshape'
,
'transpose'
,
'im2sequence'
,
'nce'
,
'beam_search'
,
'row_conv'
,
'multiplex'
,
'layer_norm'
,
'softmax_with_cross_entropy'
,
'smooth_l1'
,
'one_hot'
,
'autoincreased_step_counter'
,
'reshape'
,
'lod_reset'
,
'lrn'
,
'pad'
,
'label_smooth'
,
'roi_pool'
,
'dice_loss'
,
'image_resize'
,
'image_resize_short'
,
'resize_bilinear'
,
'gather'
,
'random_crop'
,
'mean_iou'
,
'relu'
,
'log'
]
...
...
@@ -4784,6 +4733,62 @@ def random_crop(x, shape, seed=None):
return
out
def
log
(
x
):
"""
Calculates the natural log of the given input tensor, element-wise.
.. math::
Out =
\\
ln(x)
Args:
x (Variable): Input tensor.
Returns:
Variable: The natural log of the input tensor computed element-wise.
Examples:
.. code-block:: python
output = fluid.layers.log(x)
"""
helper
=
LayerHelper
(
'log'
,
**
locals
())
dtype
=
helper
.
input_dtype
()
out
=
helper
.
create_tmp_variable
(
dtype
)
helper
.
append_op
(
type
=
"log"
,
inputs
=
{
"X"
:
input
},
outputs
=
{
"Out"
:
out
})
return
out
def
relu
(
x
):
"""
Relu takes one input data (Tensor) and produces one output data (Tensor)
where the rectified linear function, y = max(0, x), is applied to
the tensor elementwise.
.. math::
Out =
\\
max(0, x)
Args:
x (Variable): The input tensor.
Returns:
Variable: The output tensor with the same shape as input.
Examples:
.. code-block:: python
output = fluid.layers.relu(x)
"""
helper
=
LayerHelper
(
'relu'
,
**
locals
())
dtype
=
helper
.
input_dtype
()
out
=
helper
.
create_tmp_variable
(
dtype
)
helper
.
append_op
(
type
=
"relu"
,
inputs
=
{
"X"
:
input
},
outputs
=
{
"Out"
:
out
})
return
out
def
mean_iou
(
input
,
label
,
num_classes
):
"""
Mean Intersection-Over-Union is a common evaluation metric for
...
...
@@ -4810,11 +4815,10 @@ def mean_iou(input, label, num_classes):
out_wrong(Variable): A Tensor with shape [num_classes]. The wrong numbers of each class.
out_correct(Variable): A Tensor with shape [num_classes]. The correct numbers of each class.
Examples:
.. code-block:: python
iou, wrongs, corrects = fluid.layers.mean_iou(predict, label, num_classes)
"""
helper
=
LayerHelper
(
'mean_iou'
,
**
locals
())
...
...
python/paddle/fluid/layers/ops.py
浏览文件 @
20e5ef62
...
...
@@ -17,7 +17,6 @@ __activations__ = [
'sigmoid'
,
'logsigmoid'
,
'exp'
,
'relu'
,
'tanh'
,
'tanh_shrink'
,
'softshrink'
,
...
...
@@ -29,7 +28,6 @@ __activations__ = [
'sin'
,
'round'
,
'reciprocal'
,
'log'
,
'square'
,
'softplus'
,
'softsign'
,
...
...
python/paddle/fluid/layers/tensor.py
浏览文件 @
20e5ef62
...
...
@@ -453,11 +453,12 @@ def zeros(shape, dtype, force_cpu=False):
It also sets *stop_gradient* to True.
Args:
shape(tuple|list|None): Shape of output tensor
dtype(np.dtype|core.VarDesc.VarType|str): Data type of output tensor
shape(tuple|list|None): Shape of output tensor.
dtype(np.dtype|core.VarDesc.VarType|str): Data type of output tensor.
force_cpu(bool, default False): Whether to make output stay on CPU.
Returns:
Variable: The tensor variable storing the output
Variable: The tensor variable storing the output
.
Examples:
.. code-block:: python
...
...
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