diff --git a/develop/doc/api/v2/run_logic.html b/develop/doc/api/v2/run_logic.html index a0af45ac55d0b558f0528e9559b1a52a724fca85..d90593601cf369220729ab6419e27d2c05444499 100644 --- a/develop/doc/api/v2/run_logic.html +++ b/develop/doc/api/v2/run_logic.html @@ -494,19 +494,28 @@ index that reader returns. 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:

+

Example usage for sinlge output_layer:

result = paddle.infer(output_layer=prediction,
                       parameters=parameters,
                       input=SomeData)
 print result
+

Example usage for multiple outout_layers and fields:

+
result = paddle.infer(output_layer=[prediction1, prediction2],
+                      parameters=parameters,
+                      input=SomeData,
+                      field=[id, value]])
+print result
+
+
-
Parameters:
    -
  • output_layer (paddle.v2.config_base.Layer) – output of the neural network that would be inferred
    • +
  • output_layer (paddle.v2.config_base.Layer or a list of +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.
    • @@ -520,7 +529,9 @@ or max_id.
Returns:

a numpy array

+
Returns:

The prediction result. If there are multiple outout_layers and fields, +the return order is outout_layer1.field1, outout_layer2.field1, ..., +outout_layer1.field2, outout_layer2.field2 ...
Return type:

numpy.ndarray

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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 6001068befdd8564117c0b17ddcea3aaeaf44281..aa446d26b7f011a618bd60e66fed4a411712fd5c 100644 --- a/develop/doc_cn/api/v2/run_logic.html +++ b/develop/doc_cn/api/v2/run_logic.html @@ -501,19 +501,28 @@ index that reader returns. 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:

+

Example usage for sinlge output_layer:

result = paddle.infer(output_layer=prediction,
                       parameters=parameters,
                       input=SomeData)
 print result
+

Example usage for multiple outout_layers and fields:

+
result = paddle.infer(output_layer=[prediction1, prediction2],
+                      parameters=parameters,
+                      input=SomeData,
+                      field=[id, value]])
+print result
+
+
-
参数:
    -
  • output_layer (paddle.v2.config_base.Layer) – output of the neural network that would be inferred
    • +
  • output_layer (paddle.v2.config_base.Layer or a list of +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.
    • @@ -527,7 +536,9 @@ or max_id.
返回:

a numpy array

+
返回:

The prediction result. If there are multiple outout_layers and fields, +the return order is outout_layer1.field1, outout_layer2.field1, ..., +outout_layer1.field2, outout_layer2.field2 ...
返回类型:

numpy.ndarray

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