From 2f8984b4b86083fc0d3082bee188bcea73d652ff Mon Sep 17 00:00:00 2001 From: Travis CI Date: Wed, 8 Mar 2017 22:06:36 +0000 Subject: [PATCH] Deploy to GitHub Pages: 4feb501371136d03dc7ba54054d43c0884d6e258 --- develop/doc/api/v2/run_logic.html | 8 ++------ develop/doc/searchindex.js | 2 +- develop/doc_cn/api/v2/run_logic.html | 8 ++------ develop/doc_cn/searchindex.js | 2 +- 4 files changed, 6 insertions(+), 14 deletions(-) diff --git a/develop/doc/api/v2/run_logic.html b/develop/doc/api/v2/run_logic.html index 07784807d1e..38c022513c2 100644 --- a/develop/doc/api/v2/run_logic.html +++ b/develop/doc/api/v2/run_logic.html @@ -502,7 +502,7 @@ index that reader returns.

Inference

-paddle.v2.infer(output, parameters, input=None, batch_size=None, reader=None, feeding=None, field='value')
+paddle.v2.infer(output_layer, parameters, input, feeding=None, field='value')

Infer a neural network by given neural network output and parameters. The user should pass either a batch of input data or reader method.

Example usages:

@@ -516,14 +516,10 @@ user should pass either a batch of input data or reader method.

Parameters:
    -
  • output (paddle.v2.config_base.Layer) – output of the neural network that would be inferred
    • +
  • output_layer (paddle.v2.config_base.Layer) – output of the neural network that would be inferred
  • parameters (paddle.v2.parameters.Parameters) – parameters of the neural network.
  • input (collections.Iterable) – input data batch. Should be a python iterable object, and each element is the data batch.
    • -
  • batch_size (int) – the batch size when perform inference. Default is the -length of input.
    • -
  • reader (callable) – input data reader creator in batch. If this field is set, the -input and batch_size will be ignored.
  • feeding – Reader dictionary. Default could generate from input value.
  • field (str) – The prediction field. It should in [value, ids]. value diff --git a/develop/doc/searchindex.js b/develop/doc/searchindex.js index 0bee18f036e..70c7d725f12 100644 --- a/develop/doc/searchindex.js +++ b/develop/doc/searchindex.js @@ -1 +1 @@ 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\ No newline at end of file diff --git a/develop/doc_cn/api/v2/run_logic.html b/develop/doc_cn/api/v2/run_logic.html index 367943461e9..0418a7527f6 100644 --- a/develop/doc_cn/api/v2/run_logic.html +++ b/develop/doc_cn/api/v2/run_logic.html @@ -509,7 +509,7 @@ index that reader returns.

    • Inference

    -paddle.v2.infer(output, parameters, input=None, batch_size=None, reader=None, feeding=None, field='value')
    +paddle.v2.infer(output_layer, parameters, input, feeding=None, field='value')

    Infer a neural network by given neural network output and parameters. The user should pass either a batch of input data or reader method.

    Example usages:

    @@ -523,14 +523,10 @@ user should pass either a batch of input data or reader method.

    参数:
      -
    • output (paddle.v2.config_base.Layer) – output of the neural network that would be inferred
      • +
    • output_layer (paddle.v2.config_base.Layer) – output of the neural network that would be inferred
    • parameters (paddle.v2.parameters.Parameters) – parameters of the neural network.
    • input (collections.Iterable) – input data batch. Should be a python iterable object, and each element is the data batch.
      • -
    • batch_size (int) – the batch size when perform inference. Default is the -length of input.
      • -
    • reader (callable) – input data reader creator in batch. If this field is set, the -input and batch_size will be ignored.
    • feeding – Reader dictionary. Default could generate from input value.
    • field (str) – The prediction field. It should in [value, ids]. value diff --git a/develop/doc_cn/searchindex.js b/develop/doc_cn/searchindex.js index f8a355ff678..6f876972a7d 100644 --- a/develop/doc_cn/searchindex.js +++ b/develop/doc_cn/searchindex.js @@ -1 +1 @@ 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