Slice
Applicability
Product |
Supported |
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√ |
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x |
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Function Usage
Obtains tensor slices.
Prototype
const aclTensor *Slice(const aclTensor *x, const aclTensor *y, const aclTensor *offset, const aclTensor *size, aclOpExecutor *executor)
const aclTensor *Slice(const aclTensor *x, const aclIntArray *offsets, const aclIntArray *size, aclOpExecutor *executor)
Parameters
Parameter |
Input/Output |
Description |
|---|---|---|
x |
Input |
Input tensor. The data type can be FLOAT16, FLOAT, BOOL, INT8, UINT8, INT16, UINT16, INT32, UINT32, INT64, BFLOAT16, or UINT64. The data format can be ND. NOTE:
BFLOAT16 applies to the following product models: |
y |
Output |
Output tensor after slicing. The data type can be FLOAT16, FLOAT, BOOL, INT8, UINT8, INT16, UINT16, INT32, UINT32, INT64, BFLOAT16, or UINT64. The data format can be ND. NOTE:
BFLOAT16 applies to the following product models: |
offsets |
Input |
const aclIntArray* type, indicating the start position of input x in each dimension slice. The shape is the dimensions of x. The data type can be INT32 or INT64, and the data format can be ND. |
offset |
Input |
const aclTensor* type, indicating the start position of input x in each dimension slice. The shape is the dimensions of x. The data type can be INT32 or INT64, and the data format can be ND. |
size |
Input |
Size of each dimension slice of input x. The shape is the dimensions of x. It can be of the aclIntArray* or aclTensor* type. The data type can be INT32 or INT64, and the data format can be ND. |
executor |
Input |
Operator executor, containing the operator computation process. |
Returns
A tensor of the same type as the input tensor and with the shape of size.
Constraints
None
Examples
1 2 3 4 | // Call l0op::Slice to process each slice. auto sliceRes = l0op::Slice(self, offsetArray, sizeArray, executor); // Call l0op::Slice to process each slice. auto sliceRes = l0op::Slice(xTensor, yTensor, offsetTensor, sizeTensor, executor); |