diff --git a/develop/doc/api/v1/trainer_config_helpers/layers.html b/develop/doc/api/v1/trainer_config_helpers/layers.html index 2c4e82f4c3928ba93cb80b00e0cfef024ab01417..891850b2d744e3b7724f3ffecacdae4ace2e419b 100644 --- a/develop/doc/api/v1/trainer_config_helpers/layers.html +++ b/develop/doc/api/v1/trainer_config_helpers/layers.html @@ -2016,6 +2016,10 @@ SumPooling, SquareRootNPooling.
paddle.trainer_config_helpers.layers.last_seq(*args, **kwargs)

Get Last Timestamp Activation of a sequence.

+

If stride > 0, this layer slides a window whose size is determined by stride, +and return the last value of the window as the output. Thus, a long sequence +will be shorten. Note that for sequence with sub-sequence, the default value +of stride is -1.

The simple usage is:

seq = last_seq(input=layer)
@@ -2028,6 +2032,7 @@ SumPooling, SquareRootNPooling.
  • agg_level – Aggregated level
  • name (basestring) – Layer name.
  • input (LayerOutput) – Input layer name.
    • +
  • stride (Int) – window size.
  • layer_attr (ExtraLayerAttribute.) – extra layer attributes.
    • @@ -2049,6 +2054,10 @@ SumPooling, SquareRootNPooling.
    paddle.trainer_config_helpers.layers.first_seq(*args, **kwargs)

    Get First Timestamp Activation of a sequence.

    +

    If stride > 0, this layer slides a window whose size is determined by stride, +and return the first value of the window as the output. Thus, a long sequence +will be shorten. Note that for sequence with sub-sequence, the default value +of stride is -1.

    The simple usage is:

    seq = first_seq(input=layer)
    @@ -2061,6 +2070,7 @@ SumPooling, SquareRootNPooling.
  • agg_level – aggregation level
  • name (basestring) – Layer name.
  • input (LayerOutput) – Input layer name.
    • +
  • stride (Int) – window size.
  • layer_attr (ExtraLayerAttribute.) – extra layer attributes.
    • diff --git a/develop/doc/api/v2/config/layer.html b/develop/doc/api/v2/config/layer.html index a441b2f5a4b75e663fedf7bfd2734736b3fe2b19..b5df28254bfaee3521163b5f736328bbcecb43a1 100644 --- a/develop/doc/api/v2/config/layer.html +++ b/develop/doc/api/v2/config/layer.html @@ -2252,6 +2252,10 @@ the way how to configure a neural network topology in Paddle Python code.

    class paddle.v2.layer.last_seq(*args, **kwargs)

    Get Last Timestamp Activation of a sequence.

    +

    If stride > 0, this layer slides a window whose size is determined by stride, +and return the last value of the window as the output. Thus, a long sequence +will be shorten. Note that for sequence with sub-sequence, the default value +of stride is -1.

    The simple usage is:

    seq = last_seq(input=layer)
    @@ -2264,6 +2268,7 @@ the way how to configure a neural network topology in Paddle Python code.

  • agg_level – Aggregated level
  • name (basestring) – Layer name.
  • input (paddle.v2.config_base.Layer) – Input layer name.
    • +
  • stride (Int) – window size.
  • layer_attr (paddle.v2.attr.ExtraAttribute) – extra layer attributes.
    • @@ -2300,6 +2305,10 @@ the way how to configure a neural network topology in Paddle Python code.

    class paddle.v2.layer.first_seq(*args, **kwargs)

    Get First Timestamp Activation of a sequence.

    +

    If stride > 0, this layer slides a window whose size is determined by stride, +and return the first value of the window as the output. Thus, a long sequence +will be shorten. Note that for sequence with sub-sequence, the default value +of stride is -1.

    The simple usage is:

    seq = first_seq(input=layer)
    @@ -2312,6 +2321,7 @@ the way how to configure a neural network topology in Paddle Python code.

  • agg_level – aggregation level
  • name (basestring) – Layer name.
  • input (paddle.v2.config_base.Layer) – Input layer name.
    • +
  • stride (Int) – window size.
  • layer_attr (paddle.v2.attr.ExtraAttribute) – extra layer attributes.
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\ No newline at end of file diff --git a/develop/doc_cn/api/v1/trainer_config_helpers/layers.html b/develop/doc_cn/api/v1/trainer_config_helpers/layers.html index ecfddf7ce433d734d69ab991cc7d490d315d8c81..1cbf87242429741ac8467c60d28a8ecee7e664e8 100644 --- a/develop/doc_cn/api/v1/trainer_config_helpers/layers.html +++ b/develop/doc_cn/api/v1/trainer_config_helpers/layers.html @@ -2023,6 +2023,10 @@ SumPooling, SquareRootNPooling.
    paddle.trainer_config_helpers.layers.last_seq(*args, **kwargs)

    Get Last Timestamp Activation of a sequence.

    +

    If stride > 0, this layer slides a window whose size is determined by stride, +and return the last value of the window as the output. Thus, a long sequence +will be shorten. Note that for sequence with sub-sequence, the default value +of stride is -1.

    The simple usage is:

    seq = last_seq(input=layer)
    @@ -2035,6 +2039,7 @@ SumPooling, SquareRootNPooling.
  • agg_level – Aggregated level
  • name (basestring) – Layer name.
  • input (LayerOutput) – Input layer name.
    • +
  • stride (Int) – window size.
  • layer_attr (ExtraLayerAttribute.) – extra layer attributes.
    • @@ -2056,6 +2061,10 @@ SumPooling, SquareRootNPooling.
    paddle.trainer_config_helpers.layers.first_seq(*args, **kwargs)

    Get First Timestamp Activation of a sequence.

    +

    If stride > 0, this layer slides a window whose size is determined by stride, +and return the first value of the window as the output. Thus, a long sequence +will be shorten. Note that for sequence with sub-sequence, the default value +of stride is -1.

    The simple usage is:

    seq = first_seq(input=layer)
    @@ -2068,6 +2077,7 @@ SumPooling, SquareRootNPooling.
  • agg_level – aggregation level
  • name (basestring) – Layer name.
  • input (LayerOutput) – Input layer name.
    • +
  • stride (Int) – window size.
  • layer_attr (ExtraLayerAttribute.) – extra layer attributes.
    • diff --git a/develop/doc_cn/api/v2/config/layer.html b/develop/doc_cn/api/v2/config/layer.html index 28e753e1270bff09e4d464d5793047a1e72cbc34..c30055c1470e73f9dfac27725fd47bee4234c60b 100644 --- a/develop/doc_cn/api/v2/config/layer.html +++ b/develop/doc_cn/api/v2/config/layer.html @@ -2259,6 +2259,10 @@ the way how to configure a neural network topology in Paddle Python code.

    class paddle.v2.layer.last_seq(*args, **kwargs)

    Get Last Timestamp Activation of a sequence.

    +

    If stride > 0, this layer slides a window whose size is determined by stride, +and return the last value of the window as the output. Thus, a long sequence +will be shorten. Note that for sequence with sub-sequence, the default value +of stride is -1.

    The simple usage is:

    seq = last_seq(input=layer)
    @@ -2271,6 +2275,7 @@ the way how to configure a neural network topology in Paddle Python code.

  • agg_level – Aggregated level
  • name (basestring) – Layer name.
  • input (paddle.v2.config_base.Layer) – Input layer name.
    • +
  • stride (Int) – window size.
  • layer_attr (paddle.v2.attr.ExtraAttribute) – extra layer attributes.
    • @@ -2307,6 +2312,10 @@ the way how to configure a neural network topology in Paddle Python code.

    class paddle.v2.layer.first_seq(*args, **kwargs)

    Get First Timestamp Activation of a sequence.

    +

    If stride > 0, this layer slides a window whose size is determined by stride, +and return the first value of the window as the output. Thus, a long sequence +will be shorten. Note that for sequence with sub-sequence, the default value +of stride is -1.

    The simple usage is:

    seq = first_seq(input=layer)
    @@ -2319,6 +2328,7 @@ the way how to configure a neural network topology in Paddle Python code.

  • agg_level – aggregation level
  • name (basestring) – Layer name.
  • input (paddle.v2.config_base.Layer) – Input layer name.
    • +
  • stride (Int) – window size.
  • layer_attr (paddle.v2.attr.ExtraAttribute) – extra layer attributes.
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