Update some doc about API reference. #11495
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qingqing01
commented
Jun 14, 2018
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qingqing01
commented
- Dropout
- L2Norm
- GRU
- Lstmp
- gaussian_random_batch_size_like
- random_data_generator
- box_coder
- save_combine
qingqing01
changed the title
qingqing01
commented
Jun 15, 2018
| and height respectively. Similarly, `px`, `py`, `pw`, `ph` denote the | ||
| priorbox's (anchor) center coordinates, width and height. `pxv`, `pyv`, `pwv`, | ||
| `phv` denote the variance of the priorbox and `ox`, `oy`, `ow`, `oh` denote the | ||
| encoded/decoded coordinates, width and height. |
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| Used to initialize tensors with gaussian random generator. | ||
| The defalut mean of the distribution is 0. and defalut standard | ||
| deviation (std) of the distribution is 1.. Uers can set mean and std | ||
| by input arguments. |
| hidden_dim = 512 | ||
| x = fluid.layers.fc(input=data, size=hidden_dim * 3) | ||
| x = fluid.layers.fc(input=emb, size=hidden_dim * 3) |
| data = fluid.layers.data(name="data", | ||
| shape=(3, 17, 13), | ||
| dtype="float32") | ||
| normed = fluid.layers.l2_normalize(x=data, axis=1) |
| v2 = fluid.layers.data(name="data", | ||
| shape=(6, 8, 4), | ||
| dtype="float32") | ||
| normed = fluid.layers.save_combine([v1, v2], file_path="output") |
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该op在内部用，感觉用户不太需要，就没有暴露出来。
python/paddle/fluid/layers/nn.py
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| x = fluid.layers.data(name="data", shape=[32, 32], dtype="float32") | ||
| droped = fluid.layers.dropout(input=x, dropout_rate=0.5) | ||
| x = fluid.layers.data(name="data", shape=[32, 32], dtype="float32") | ||
| droped = fluid.layers.dropout(input=x, dropout_rate=0.5) |
qingqing01
changed the title
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@reyoung Done.
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