fetch

Applicability

Product	Supported
Atlas A3 training product/Atlas A3 inference product	√
Atlas A2 training product/Atlas A2 inference product	√
Atlas 200I/500 A2 inference product	x
Atlas inference product	x
Atlas training product	x

Function Description

Obtains the graph output data. A serializable output is supported.

Prototype

fetch(indexes=None, timeout=-1)

Parameters

Parameter	Data Type	Description
indexes	List[int]	Indexes of outputs. Values must be unique and in the range [0, N – 1], where N is the number of outputs. One or more indexes can be specified. The default value is None, indicating that all outputs are fetched. Example: [0, 2], indicating that the first and third outputs are fetched.
timeout	int	Timeout period for fetching data, in ms. The value range is [0, 2147483647), and the value -1 indicates that no timeout will occur.

Parameter

Data Type

Description

indexes

List[int]

Indexes of outputs. Values must be unique and in the range [0, N – 1], where N is the number of outputs. One or more indexes can be specified. The default value is None, indicating that all outputs are fetched.

Example: [0, 2], indicating that the first and third outputs are fetched.

timeout

int

Timeout period for fetching data, in ms. The value range is [0, 2147483647), and the value -1 indicates that no timeout will occur.

Returns

Tuple[List["Any"], int] is returned.

In normal scenarios, the last return value of a tuple is 0 (success).

In case of exceptions, the last return value of a tuple indicates the specific error code.

Examples

import dataflow as df
graph = df.FlowGraph(...)
graph.feed(...)
graph.fetch(...)

Constraints

If an input of the non-dataflow.Tensor type is used, decorators @pyflow and @method must be used together.

Parent topic: dataflow.FlowGraph