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Enter
English | 简体中文
Product Support Status
| Product | Supported |
|---|---|
| Ascend 950PR&950DT products | √ |
| Atlas A3 products | √ |
| Atlas A2 products | √ |
| Atlas 200I/500 A2 inference products | √ |
| Atlas inference products | √ |
| Atlas training products | √ |
Function Description
Creates or finds a child frame and makes the input tensor x available in the child frame. The Enter operator works with the Exit operator to create loops in a graph. Frames are identified by the unique frame_name attribute. When is_constant is true, the output tensor y is constant within the child frame; otherwise, it may be changed within the child frame. The output tensor y has the same shape and data type as the input tensor x.
Parameter Description
| Parameter Name | Input/Output/Attribute | Description | Data Type | Data Format |
|---|---|---|---|---|
| x | Input | Input tensor, which needs to be available in the child frame. | float16, float32, float64, int8, int16, int32, int64, uint8, uint16, uint32, uint64, bool | ND |
| frame_name | Attribute | Name of the child frame. Frames are identified by this unique name. | String, required | - |
| is_constant | Attribute | If true, the output is constant within the child frame; otherwise, it may be changed within the child frame. | Bool, required | - |
| y | Output | Tensor that has the same shape and data type as the input tensor x. | float16, float32, float64, int8, int16, int32, int64, uint8, uint16, uint32, uint64, bool | ND |
Constraint Description
- frame_name and is_constant are required attributes.
- The data type and shape of the output tensor y must be consistent with those of the input tensor x.
Invocation Description
The Enter operator is a control flow operator. It usually works with the Exit operator to create loops in a graph and is not invoked separately.
| Invocation Method | Invocation Sample | Description |
|---|---|---|
| Graph-mode invocation | test_geir_enter | Invokes the Enter operator by building a graph through the operator IR |