From b5a7f4b4736d3897192f45a062392b69b524cd0c Mon Sep 17 00:00:00 2001 From: Travis CI Date: Wed, 17 Jan 2018 14:47:34 +0000 Subject: [PATCH] Deploy to GitHub Pages: ac73900942ab9d81f4181162230a195a016f985e --- .../doc/_sources/api/v2/fluid/layers.rst.txt | 6 ++ .../doc/_sources/api/v2/fluid/nets.rst.txt | 6 ++ develop/doc/api/v2/fluid/layers.html | 69 +++++++++++++++++++ develop/doc/api/v2/fluid/nets.html | 49 +++++++++++++ develop/doc/searchindex.js | 2 +- .../_sources/api/v2/fluid/layers.rst.txt | 6 ++ .../doc_cn/_sources/api/v2/fluid/nets.rst.txt | 6 ++ .../capi/organization_of_the_inputs_cn.md.txt | 2 +- develop/doc_cn/api/v2/fluid/layers.html | 69 +++++++++++++++++++ develop/doc_cn/api/v2/fluid/nets.html | 49 +++++++++++++ .../capi/organization_of_the_inputs_cn.html | 2 +- develop/doc_cn/searchindex.js | 2 +- 12 files changed, 264 insertions(+), 4 deletions(-) diff --git a/develop/doc/_sources/api/v2/fluid/layers.rst.txt b/develop/doc/_sources/api/v2/fluid/layers.rst.txt index 62c154e65d..6e1d6719ac 100644 --- a/develop/doc/_sources/api/v2/fluid/layers.rst.txt +++ b/develop/doc/_sources/api/v2/fluid/layers.rst.txt @@ -364,6 +364,12 @@ split .. autofunction:: paddle.v2.fluid.layers.split :noindex: + +matmul +------ +.. autofunction:: paddle.v2.fluid.layers.matmul + :noindex: + logsigmoid ---------- .. autofunction:: paddle.v2.fluid.layers.logsigmoid diff --git a/develop/doc/_sources/api/v2/fluid/nets.rst.txt b/develop/doc/_sources/api/v2/fluid/nets.rst.txt index cca0dcdf08..f6b1cb4ba1 100644 --- a/develop/doc/_sources/api/v2/fluid/nets.rst.txt +++ b/develop/doc/_sources/api/v2/fluid/nets.rst.txt @@ -25,3 +25,9 @@ glu .. autofunction:: paddle.v2.fluid.nets.glu :noindex: + +dot_product_attention +--------------------- +.. autofunction:: paddle.v2.fluid.nets.dot_product_attention + :noindex: + diff --git a/develop/doc/api/v2/fluid/layers.html b/develop/doc/api/v2/fluid/layers.html index 47cd150671..3df5d8ffde 100644 --- a/develop/doc/api/v2/fluid/layers.html +++ b/develop/doc/api/v2/fluid/layers.html @@ -2480,6 +2480,75 @@ dimension to split along is \(rank(input) + dim\). + +
+

matmul

+
+
+paddle.v2.fluid.layers.matmul(x, y, transpose_x=False, transpose_y=False, name=None)
+

Applies matrix multipication to two tensors. Currently only rank 1 to rank +3 input tensors are supported.

+

The actual behavior depends on the shapes of \(x\), \(y\) and the +flag values of transpose_x, transpose_y. Specifically:

+
    +
  • If a transpose flag is specified, the last two dimensions of the tensor +are transposed. If the tensor is rank-1 of shape \([D]\), then for +\(x\) it is treated as \([1, D]\) in nontransposed form and as +\([D, 1]\) in transposed form, whereas for \(y\) it is the +opposite: It is treated as \([D, 1]\) in nontransposed form and as +\([1, D]\) in transposed form.
    • +
  • After transpose, the two tensors are 2-D or 3-D and matrix multipication +performs in the following way.
      +
    • If both are 2-D, they are multiplied like conventional matrices.
      • +
    • If either is 3-D, it is treated as a stack of matrices residing in the +last two dimensions and a batched matrix multiply supporting broadcast +applies on the two tensors.
      • +
    +
    • +
+

Also note that if the raw tensor \(x\) or \(y\) is rank-1 and +nontransposed, the prepended or appended dimension \(1\) will be +removed after matrix multipication.

+ +++ + + + + + + + +
Parameters:
    +
  • x (Variable) – The input variable which is a Tensor or LoDTensor.
    • +
  • y (Variable) – The input variable which is a Tensor or LoDTensor.
    • +
  • transpose_x (bool) – Whether to transpose \(x\) before multiplication.
    • +
  • transpose_y (bool) – Whether to transpose \(y\) before multiplication.
    • +
  • name (str|None) – A name for this layer(optional). If set None, the layer +will be named automatically.
    • +
+
Returns:

The product Tensor variable.

+
Return type:

Variable

+
+

Examples

+
# Examples to clarify shapes of the inputs and output
+# x: [B, M, K], y: [B, K, N]
+fluid.layers.matmul(x, y)  # out: [B, M, N]
+# x: [B, M, K], y: [K, N]
+fluid.layers.matmul(x, y)  # out: [B, M, N]
+# x: [B, M, K], y: [K]
+fluid.layers.matmul(x, y)  # out: [B, M]
+# x: [M, K], y: [K, N]
+fluid.layers.matmul(x, y)  # out: [M, N]
+# x: [K], y: [K]
+fluid.layers.matmul(x, y)  # out: [1]
+# x: [M], y: [N]
+fluid.layers.matmul(x, y, True, True)  # out: [M, N]
+
+
+
+

logsigmoid

diff --git a/develop/doc/api/v2/fluid/nets.html b/develop/doc/api/v2/fluid/nets.html index 016f934e3a..5c0ea85f0b 100644 --- a/develop/doc/api/v2/fluid/nets.html +++ b/develop/doc/api/v2/fluid/nets.html @@ -283,6 +283,55 @@ dimension to split along is \(rank(input) + dim\). +
+
+

dot_product_attention

+
+
+paddle.v2.fluid.nets.dot_product_attention(querys, keys, values)
+

The dot-product attention.

+

Attention mechanism can be seen as mapping a query and a set of key-value +pairs to an output. The output is computed as a weighted sum of the values, +where the weight assigned to each value is computed by a compatibility +function (dot-product here) of the query with the corresponding key.

+

The dot-product attention can be implemented through (batch) matrix +multipication as follows:

+
+
+\[Attention(Q, K, V)= softmax(QK^\mathrm{T})V\]
+
+

Refer to Attention Is All You Need.

+

Note that batch data containing sequences with different lengths is not +supported by this because of the (batch) matrix multipication.

+ +++ + + + + + + + +
Parameters:
    +
  • query (Variable) – The input variable which is a Tensor or LoDTensor.
    • +
  • key (Variable) – The input variable which is a Tensor or LoDTensor.
    • +
  • value (Variable) – The input variable which is a Tensor or LoDTensor.
    • +
+
Returns:

The Tensor variables representing the output and attention scores.

+
Return type:

tuple

+
+

Examples

+
# Suppose q, k, v are tensor variables with the following shape:
+# q: [3, 5, 9], k: [3, 6, 9], v: [3, 6, 10]
+out, attn_scores = fluid.nets.dot_product_attention(q, k, v)
+out.shape  # [3, 5, 10]
+attn_scores.shape  # [3, 5, 6]
+
+
+
+
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Parameters","Introduction","Design Doc: PaddlePaddle Programs","Prune","Design Doc: Python API","Python Data Reader Design Doc","Design Doc: Refactorization Overview","Design Doc: Gradient Operators Registration","Regularization in PaddlePaddle","PaddlePaddle\u53d1\u884c\u89c4\u8303","Design of Scope in Paddle","Design Doc: Selected Rows","Interaction between C++ and Python","Design Doc: Supporting new Device/Library","Background","Design for TensorArray","Background","Build from Sources","Run in Docker Containers","Install and Build","Install Using pip","GET STARTED","RNN Models","RNN Configuration","Build using Docker","Contribute Code","Write New Layers","How to write a new operator","How to use Eigen in Paddle","Contribute Documentation","HOW TO","Profiling the Python Code","Tune GPU Performance","PaddlePaddle Fluid Source Code Overview","Distributed Training","Cluster Training Using Fabric","Distributed PaddlePaddle Training on AWS with Kubernetes","PaddlePaddle On 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\ No newline at end of file diff --git a/develop/doc_cn/_sources/api/v2/fluid/layers.rst.txt b/develop/doc_cn/_sources/api/v2/fluid/layers.rst.txt index 62c154e65d..6e1d6719ac 100644 --- a/develop/doc_cn/_sources/api/v2/fluid/layers.rst.txt +++ b/develop/doc_cn/_sources/api/v2/fluid/layers.rst.txt @@ -364,6 +364,12 @@ split .. autofunction:: paddle.v2.fluid.layers.split :noindex: + +matmul +------ +.. autofunction:: paddle.v2.fluid.layers.matmul + :noindex: + logsigmoid ---------- .. autofunction:: paddle.v2.fluid.layers.logsigmoid diff --git a/develop/doc_cn/_sources/api/v2/fluid/nets.rst.txt b/develop/doc_cn/_sources/api/v2/fluid/nets.rst.txt index cca0dcdf08..f6b1cb4ba1 100644 --- a/develop/doc_cn/_sources/api/v2/fluid/nets.rst.txt +++ b/develop/doc_cn/_sources/api/v2/fluid/nets.rst.txt @@ -25,3 +25,9 @@ glu .. autofunction:: paddle.v2.fluid.nets.glu :noindex: + +dot_product_attention +--------------------- +.. autofunction:: paddle.v2.fluid.nets.dot_product_attention + :noindex: + diff --git a/develop/doc_cn/_sources/howto/usage/capi/organization_of_the_inputs_cn.md.txt b/develop/doc_cn/_sources/howto/usage/capi/organization_of_the_inputs_cn.md.txt index 563ec5ca21..a889ae4ffa 100644 --- a/develop/doc_cn/_sources/howto/usage/capi/organization_of_the_inputs_cn.md.txt +++ b/develop/doc_cn/_sources/howto/usage/capi/organization_of_the_inputs_cn.md.txt @@ -19,7 +19,7 @@ ### 基本使用概念 -- 在PaddlePaddle内部，神经网络中一个计算层的输入/输出被组织为一个 `Argument` 结构体，如果神经网络有多个输入或者多个输入，每一个输入/输入都会对应有自己的`Argument`。 +- 在PaddlePaddle内部，神经网络中一个计算层的输入/输出被组织为一个 `Argument` 结构体，如果神经网络有多个输入或者多个输出，每一个输入/输出都会对应有自己的`Argument`。 - `Argument` 并不真正“存储”数据，而是将输入/输出信息有机地组织在一起。 - 在`Argument`内部由`IVector`（对应着上文提到的一维整型数组）和`Matrix`（对应着上文提到的二维浮点型矩阵）来实际存储数据；由 `Sequence Start Positions` (下文详细解释) 来描述输入/输出的序列信息。 diff --git a/develop/doc_cn/api/v2/fluid/layers.html b/develop/doc_cn/api/v2/fluid/layers.html index 35ccbc83df..6dd4f32dd5 100644 --- a/develop/doc_cn/api/v2/fluid/layers.html +++ b/develop/doc_cn/api/v2/fluid/layers.html @@ -2499,6 +2499,75 @@ dimension to split along is \(rank(input) + dim\). + +
+

matmul

+
+
+paddle.v2.fluid.layers.matmul(x, y, transpose_x=False, transpose_y=False, name=None)
+

Applies matrix multipication to two tensors. Currently only rank 1 to rank +3 input tensors are supported.

+

The actual behavior depends on the shapes of \(x\), \(y\) and the +flag values of transpose_x, transpose_y. Specifically:

+
    +
  • If a transpose flag is specified, the last two dimensions of the tensor +are transposed. If the tensor is rank-1 of shape \([D]\), then for +\(x\) it is treated as \([1, D]\) in nontransposed form and as +\([D, 1]\) in transposed form, whereas for \(y\) it is the +opposite: It is treated as \([D, 1]\) in nontransposed form and as +\([1, D]\) in transposed form.
    • +
  • After transpose, the two tensors are 2-D or 3-D and matrix multipication +performs in the following way.
      +
    • If both are 2-D, they are multiplied like conventional matrices.
      • +
    • If either is 3-D, it is treated as a stack of matrices residing in the +last two dimensions and a batched matrix multiply supporting broadcast +applies on the two tensors.
      • +
    +
    • +
+

Also note that if the raw tensor \(x\) or \(y\) is rank-1 and +nontransposed, the prepended or appended dimension \(1\) will be +removed after matrix multipication.

+ +++ + + + + + + + +
参数:
    +
  • x (Variable) – The input variable which is a Tensor or LoDTensor.
    • +
  • y (Variable) – The input variable which is a Tensor or LoDTensor.
    • +
  • transpose_x (bool) – Whether to transpose \(x\) before multiplication.
    • +
  • transpose_y (bool) – Whether to transpose \(y\) before multiplication.
    • +
  • name (str|None) – A name for this layer(optional). If set None, the layer +will be named automatically.
    • +
+
返回:

The product Tensor variable.

+
返回类型:

Variable

+
+

Examples

+
# Examples to clarify shapes of the inputs and output
+# x: [B, M, K], y: [B, K, N]
+fluid.layers.matmul(x, y)  # out: [B, M, N]
+# x: [B, M, K], y: [K, N]
+fluid.layers.matmul(x, y)  # out: [B, M, N]
+# x: [B, M, K], y: [K]
+fluid.layers.matmul(x, y)  # out: [B, M]
+# x: [M, K], y: [K, N]
+fluid.layers.matmul(x, y)  # out: [M, N]
+# x: [K], y: [K]
+fluid.layers.matmul(x, y)  # out: [1]
+# x: [M], y: [N]
+fluid.layers.matmul(x, y, True, True)  # out: [M, N]
+
+
+
+

logsigmoid

diff --git a/develop/doc_cn/api/v2/fluid/nets.html b/develop/doc_cn/api/v2/fluid/nets.html index b723536e5f..e11034d961 100644 --- a/develop/doc_cn/api/v2/fluid/nets.html +++ b/develop/doc_cn/api/v2/fluid/nets.html @@ -302,6 +302,55 @@ dimension to split along is \(rank(input) + dim\). +
+
+

dot_product_attention

+
+
+paddle.v2.fluid.nets.dot_product_attention(querys, keys, values)
+

The dot-product attention.

+

Attention mechanism can be seen as mapping a query and a set of key-value +pairs to an output. The output is computed as a weighted sum of the values, +where the weight assigned to each value is computed by a compatibility +function (dot-product here) of the query with the corresponding key.

+

The dot-product attention can be implemented through (batch) matrix +multipication as follows:

+
+
+\[Attention(Q, K, V)= softmax(QK^\mathrm{T})V\]
+
+

Refer to Attention Is All You Need.

+

Note that batch data containing sequences with different lengths is not +supported by this because of the (batch) matrix multipication.

+ +++ + + + + + + + +
参数:
    +
  • query (Variable) – The input variable which is a Tensor or LoDTensor.
    • +
  • key (Variable) – The input variable which is a Tensor or LoDTensor.
    • +
  • value (Variable) – The input variable which is a Tensor or LoDTensor.
    • +
+
返回:

The Tensor variables representing the output and attention scores.

+
返回类型:

tuple

+
+

Examples

+
# Suppose q, k, v are tensor variables with the following shape:
+# q: [3, 5, 9], k: [3, 6, 9], v: [3, 6, 10]
+out, attn_scores = fluid.nets.dot_product_attention(q, k, v)
+out.shape  # [3, 5, 10]
+attn_scores.shape  # [3, 5, 6]
+
+
+
+
diff --git a/develop/doc_cn/howto/usage/capi/organization_of_the_inputs_cn.html b/develop/doc_cn/howto/usage/capi/organization_of_the_inputs_cn.html index 771a7409e8..b65865724f 100644 --- a/develop/doc_cn/howto/usage/capi/organization_of_the_inputs_cn.html +++ b/develop/doc_cn/howto/usage/capi/organization_of_the_inputs_cn.html @@ -264,7 +264,7 @@

基本使用概念