Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Fix v2_API equation for img_pool and maxout format. #6392

Merged
merged 2 commits into from
Dec 8, 2017
Merged

Fix v2_API equation for img_pool and maxout format. #6392

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
93563ef
fix doc
chengduoZH Dec 7, 2017
3c84444
follow comments
chengduoZH Dec 8, 2017
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
34 changes: 18 additions & 16 deletions python/paddle/trainer_config_helpers/layers.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2722,15 +2722,15 @@ def img_pool_layer(input,

.. math::

w = 1 + int(ceil(input\_width + 2 * padding - pool\_size) / float(stride))
h = 1 + int(ceil(input\_height + 2 * padding\_y - pool\_size\_y) / float(stride\_y))
w = 1 + \frac{ceil(input\_width + 2 * padding - pool\_size)}{stride} \\\\
h = 1 + \frac{ceil(input\_height + 2 * padding\_y - pool\_size\_y)}{stride\_y}

- ceil_mode=False:

.. math::

w = 1 + int(floor(input\_width + 2 * padding - pool\_size) / float(stride))
h = 1 + int(floor(input\_height + 2 * padding\_y - pool\_size\_y) / float(stride\_y))
w = 1 + \frac{floor(input\_width + 2 * padding - pool\_size)}{stride} \\\\
h = 1 + \frac{floor(input\_height + 2 * padding\_y - pool\_size\_y)}{stride\_y}

The example usage is:

Expand Down Expand Up @@ -2863,17 +2863,17 @@ def img_pool3d_layer(input,

.. math::

w = 1 + int(ceil(input\_width + 2 * padding - pool\_size) / float(stride))
h = 1 + int(ceil(input\_height + 2 * padding\_y - pool\_size\_y) / float(stride\_y))
d = 1 + int(ceil(input\_depth + 2 * padding\_z - pool\_size\_z) / float(stride\_z))
w = 1 + \frac{ceil(input\_width + 2 * padding - pool\_size)}{stride} \\\\
h = 1 + \frac{ceil(input\_height + 2 * padding\_y - pool\_size\_y)}{stride\_y} \\\\
d = 1 + \frac{ceil(input\_depth + 2 * padding\_z - pool\_size\_z)}{stride\_z}

- ceil_mode=False:

.. math::

w = 1 + int(floor(input\_width + 2 * padding - pool\_size) / float(stride))
h = 1 + int(floor(input\_height + 2 * padding\_y - pool\_size\_y) / float(stride\_y))
d = 1 + int(floor(input\_depth + 2 * padding\_z - pool\_size\_z) / float(stride\_z))
w = 1 + \frac{floor(input\_width + 2 * padding - pool\_size)}{stride} \\\\
h = 1 + \frac{floor(input\_height + 2 * padding\_y - pool\_size\_y)}{stride\_y} \\\\
d = 1 + \frac{floor(input\_depth + 2 * padding\_z - pool\_size\_z)}{stride\_z} \\\\

The example usage is:

Expand Down Expand Up @@ -5428,13 +5428,15 @@ def maxout_layer(input, groups, num_channels=None, name=None, layer_attr=None):
`Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks
https://arxiv.org/pdf/1312.6082v4.pdf`_


.. math::
y_{si+j} = \max_k x_{gsi + sk + j}
g = groups
s = input.size / num_channels
0 \le i < num_channels / groups
0 \le j < s
0 \le k < groups
out = \max_k (in[n, k, o_c , s]) \\\\
out_{i * s + j} = \max_k in_{ k * o_{c} * s + i * s + j} \\\\
s = \frac{input.size}{ num\_channels} \\\\
o_{c} =\frac{num\_channels}{groups} \\\\
0 \le i < o_{c} \\\\
0 \le j < s \\\\
0 \le k < groups \\\\

The simple usage is:

Expand Down