diff --git a/develop/doc/_sources/api/v2/fluid/layers.rst.txt b/develop/doc/_sources/api/v2/fluid/layers.rst.txt index 92ca1cf0f836a376387f3e6f2b5a24c78109323d..842f3b18007a55fb538fbe5d5fefc3f4b75ebe14 100644 --- a/develop/doc/_sources/api/v2/fluid/layers.rst.txt +++ b/develop/doc/_sources/api/v2/fluid/layers.rst.txt @@ -312,3 +312,9 @@ sequence_softmax .. autofunction:: paddle.v2.fluid.layers.sequence_softmax :noindex: + +reduce_sum +--------- +.. autofunction:: paddle.v2.fluid.layers.reduce_sum + :noindex: + diff --git a/develop/doc/api/v2/fluid/layers.html b/develop/doc/api/v2/fluid/layers.html index f337e96be37bc96387ef0702517c5c123c745fd0..5038672ec970288f84d2035727862e11dcc6495e 100644 --- a/develop/doc/api/v2/fluid/layers.html +++ b/develop/doc/api/v2/fluid/layers.html @@ -1245,6 +1245,51 @@ Duplicable: False Optional: False + +
+

reduce_sumΒΆ

+
+
+paddle.v2.fluid.layers.reduce_sum(input, dim=None, keep_dim=False)
+

Computes the sum of tensor elements over the given dimension.

+ +++ + + + + + + + +
Parameters:
    +
  • input (Variable) – The input variable which is a Tensor or LoDTensor.
  • +
  • dim (int|None) – The dimension along which the sum is performed. If +None, sum all elements of input and return a +Tensor variable with a single element, otherwise must be in the +range \([-rank(input), rank(input))\). If \(dim < 0\), +the dimension to reduce is \(rank + dim\).
  • +
  • keep_dim (bool) – Whether to reserve the reduced dimension in the +output Tensor. The result tensor will have one fewer dimension +than the input unless keep_dim is true.
  • +
+
Returns:

The reduced Tensor variable.

+
Return type:

Variable

+
+

Examples

+
# x is a Tensor variable with following elements:
+#    [[0.2, 0.3, 0.5, 0.9]
+#     [0.1, 0.2, 0.6, 0.7]]
+# Each example is followed by the correspending output tensor.
+fluid.layers.reduce_sum(x)  # [3.5]
+fluid.layers.reduce_sum(x, dim=0)  # [0.3, 0.5, 1.1, 1.6]
+fluid.layers.reduce_sum(x, dim=-1)  # [1.9, 1.6]
+fluid.layers.reduce_sum(x, dim=1, keep_dim=True)  # [[1.9], [1.6]]
+
+
+
+
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Compiling Guide for iOS","Build PaddlePaddle for Raspberry Pi","MOBILE","Cluster bootstrapping tool survey","<no title>","Chinese Word Embedding Model Tutorial","Generative Adversarial Networks (GAN)","Model Zoo - ImageNet","Quick 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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 92ca1cf0f836a376387f3e6f2b5a24c78109323d..842f3b18007a55fb538fbe5d5fefc3f4b75ebe14 100644 --- a/develop/doc_cn/_sources/api/v2/fluid/layers.rst.txt +++ b/develop/doc_cn/_sources/api/v2/fluid/layers.rst.txt @@ -312,3 +312,9 @@ sequence_softmax .. autofunction:: paddle.v2.fluid.layers.sequence_softmax :noindex: + +reduce_sum +--------- +.. autofunction:: paddle.v2.fluid.layers.reduce_sum + :noindex: + diff --git a/develop/doc_cn/api/v2/fluid/layers.html b/develop/doc_cn/api/v2/fluid/layers.html index 277ad1bb9350b97c97cb55f92d10f1885bd7f01e..1da80111611f44eaafbe7c01b6d43db3717fc349 100644 --- a/develop/doc_cn/api/v2/fluid/layers.html +++ b/develop/doc_cn/api/v2/fluid/layers.html @@ -1258,6 +1258,51 @@ Duplicable: False Optional: False + +
+

reduce_sumΒΆ

+
+
+paddle.v2.fluid.layers.reduce_sum(input, dim=None, keep_dim=False)
+

Computes the sum of tensor elements over the given dimension.

+ +++ + + + + + + + +
参数:
    +
  • input (Variable) – The input variable which is a Tensor or LoDTensor.
  • +
  • dim (int|None) – The dimension along which the sum is performed. If +None, sum all elements of input and return a +Tensor variable with a single element, otherwise must be in the +range \([-rank(input), rank(input))\). If \(dim < 0\), +the dimension to reduce is \(rank + dim\).
  • +
  • keep_dim (bool) – Whether to reserve the reduced dimension in the +output Tensor. The result tensor will have one fewer dimension +than the input unless keep_dim is true.
  • +
+
θΏ”ε›ž:

The reduced Tensor variable.

+
θΏ”ε›žη±»εž‹:

Variable

+
+

Examples

+
# x is a Tensor variable with following elements:
+#    [[0.2, 0.3, 0.5, 0.9]
+#     [0.1, 0.2, 0.6, 0.7]]
+# Each example is followed by the correspending output tensor.
+fluid.layers.reduce_sum(x)  # [3.5]
+fluid.layers.reduce_sum(x, dim=0)  # [0.3, 0.5, 1.1, 1.6]
+fluid.layers.reduce_sum(x, dim=-1)  # [1.9, 1.6]
+fluid.layers.reduce_sum(x, dim=1, keep_dim=True)  # [[1.9], [1.6]]
+
+
+
+
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