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829ef262
编写于
7月 28, 2019
作者:
L
lvmengsi
提交者:
GitHub
7月 28, 2019
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差异文件
Fix drop deconv (#18813)
* replace link * update api.spec * fix mistake
上级
cfce4994
变更
2
隐藏空白更改
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并排
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2 changed file
with
14 addition
and
7 deletion
+14
-7
paddle/fluid/API.spec
paddle/fluid/API.spec
+2
-2
python/paddle/fluid/layers/nn.py
python/paddle/fluid/layers/nn.py
+12
-5
未找到文件。
paddle/fluid/API.spec
浏览文件 @
829ef262
...
...
@@ -119,8 +119,8 @@ paddle.fluid.layers.adaptive_pool3d (ArgSpec(args=['input', 'pool_size', 'pool_t
paddle.fluid.layers.batch_norm (ArgSpec(args=['input', 'act', 'is_test', 'momentum', 'epsilon', 'param_attr', 'bias_attr', 'data_layout', 'in_place', 'name', 'moving_mean_name', 'moving_variance_name', 'do_model_average_for_mean_and_var', 'fuse_with_relu', 'use_global_stats'], varargs=None, keywords=None, defaults=(None, False, 0.9, 1e-05, None, None, 'NCHW', False, None, None, None, False, False, False)), ('document', '4cc22c3553e73a958e8b9a240d894431'))
paddle.fluid.layers.data_norm (ArgSpec(args=['input', 'act', 'epsilon', 'param_attr', 'data_layout', 'in_place', 'name', 'moving_mean_name', 'moving_variance_name', 'do_model_average_for_mean_and_var'], varargs=None, keywords=None, defaults=(None, 1e-05, None, 'NCHW', False, None, None, None, False)), ('document', '2460b30fb87037555208fa8ac6fc1787'))
paddle.fluid.layers.beam_search_decode (ArgSpec(args=['ids', 'scores', 'beam_size', 'end_id', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '83e08f21af41ac8bac37aeab1f86fdd0'))
paddle.fluid.layers.conv2d_transpose (ArgSpec(args=['input', 'num_filters', 'output_size', 'filter_size', 'padding', 'stride', 'dilation', 'groups', 'param_attr', 'bias_attr', 'use_cudnn', 'act', 'name'], varargs=None, keywords=None, defaults=(None, None, 0, 1, 1, None, None, None, True, None, None)), ('document', '
903ac9a778e0bf1bf649bd71e9d0ba0c
'))
paddle.fluid.layers.conv3d_transpose (ArgSpec(args=['input', 'num_filters', 'output_size', 'filter_size', 'padding', 'stride', 'dilation', 'groups', 'param_attr', 'bias_attr', 'use_cudnn', 'act', 'name'], varargs=None, keywords=None, defaults=(None, None, 0, 1, 1, None, None, None, True, None, None)), ('document', '
9b1f13c1fc872f76f8f84cf11e955f53
'))
paddle.fluid.layers.conv2d_transpose (ArgSpec(args=['input', 'num_filters', 'output_size', 'filter_size', 'padding', 'stride', 'dilation', 'groups', 'param_attr', 'bias_attr', 'use_cudnn', 'act', 'name'], varargs=None, keywords=None, defaults=(None, None, 0, 1, 1, None, None, None, True, None, None)), ('document', '
b99808e42a00c2656e8e90d9e360eb35
'))
paddle.fluid.layers.conv3d_transpose (ArgSpec(args=['input', 'num_filters', 'output_size', 'filter_size', 'padding', 'stride', 'dilation', 'groups', 'param_attr', 'bias_attr', 'use_cudnn', 'act', 'name'], varargs=None, keywords=None, defaults=(None, None, 0, 1, 1, None, None, None, True, None, None)), ('document', '
b4ad2a81becb8a492e9494d3974df662
'))
paddle.fluid.layers.sequence_expand (ArgSpec(args=['x', 'y', 'ref_level', 'name'], varargs=None, keywords=None, defaults=(-1, None)), ('document', '10e122eb755c2bd1f78ef2332b28f1a0'))
paddle.fluid.layers.sequence_expand_as (ArgSpec(args=['x', 'y', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '858c432e7cbd8bb952cc2eb555457d50'))
paddle.fluid.layers.sequence_pad (ArgSpec(args=['x', 'pad_value', 'maxlen', 'name'], varargs=None, keywords=None, defaults=(None, None)), ('document', '1ba3ccfe13ed5091e113c09c13dc3a20'))
...
...
python/paddle/fluid/layers/nn.py
浏览文件 @
829ef262
...
...
@@ -1470,7 +1470,7 @@ def dropout(x,
'dropout_prob'
:
dropout_prob
,
'is_test'
:
is_test
,
'fix_seed'
:
seed
is
not
None
,
'seed'
:
seed
if
seed
is
not
None
else
0
,
'seed'
:
seed
,
'dropout_implementation'
:
dropout_implementation
,
})
return
out
...
...
@@ -3690,7 +3690,7 @@ def conv2d_transpose(input,
Parameters(dilations, strides, paddings) are two elements. These two elements
represent height and width, respectively. The details of convolution transpose
layer, please refer to the following explanation and references
`therein <http
://www.matthewzeiler.com/wp-content/uploads/2017/07/cvpr2010.pdf
>`_.
`therein <http
s://ieeexplore.ieee.org/document/5539957
>`_.
If bias attribution and activation type are provided, bias is added to
the output of the convolution, and the corresponding activation function
is applied to the final result.
...
...
@@ -3728,8 +3728,15 @@ def conv2d_transpose(input,
H^\prime_{out} &= (H_{in} - 1) * strides[0] - 2 * paddings[0] + dilations[0] * (H_f - 1) + 1
\\\\
W^\prime_{out} &= (W_{in} - 1) * strides[1] - 2 * paddings[1] + dilations[1] * (W_f - 1) + 1
\\\\
H_{out} &\in [ H^\prime_{out}, H^\prime_{out} + strides[0] )
\\\\
W_{out} &\in [ W^\prime_{out}, W^\prime_{out} + strides[1] )
H_{out} &\in [ H^\prime_{out}, H^\prime_{out} + strides[0] ]
\\\\
W_{out} &\in [ W^\prime_{out}, W^\prime_{out} + strides[1] ]
Note:
if output_size is None, :math:`H_{out} = H^\prime_{out}, W_{out} = W^\prime_{out}`;
else, the :math:`H_{out}` of the output size must between :math:`H^\prime_{out}`
and :math:`H^\prime_{out} + strides[0]`, and the :math:`W_{out}` of the output size must
between :math:`W^\prime_{out}` and :math:`W^\prime_{out} + strides[1]`,
conv2d_transpose can compute the kernel size automatically.
Args:
input(Variable): The input image with [N, C, H, W] format.
...
...
@@ -3882,7 +3889,7 @@ def conv3d_transpose(input,
is the width of the feature. Parameters(dilations, strides, paddings) are
two elements. These two elements represent height and width, respectively.
The details of convolution transpose layer, please refer to the following
explanation and references `therein <http
://www.matthewzeiler.com/wp-content/uploads/2017/07/cvpr2010.pdf
>`_.
explanation and references `therein <http
s://ieeexplore.ieee.org/document/5539957
>`_.
If bias attribution and activation type are provided, bias is added to
the output of the convolution, and the corresponding activation function
is applied to the final result.
...
...
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