aclmdlSetInputDynamicDims
Applicability
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Product |
Supported |
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Atlas 350 Accelerator Card |
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Function Usage
Sets the runtime dimensions for model inference before model execution, assuming that the input shape is dynamic and the input data format is ND (supporting any format).
Prototype
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aclError aclmdlSetInputDynamicDims(uint32_t modelId, aclmdlDataset *dataset, size_t index, const aclmdlIODims *dims) |
Parameters
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Parameter |
Input/Output |
Description |
|---|---|---|
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modelId |
Input |
Model ID. A successful aclmdlLoadFromFile, aclmdlLoadFromMem, aclmdlLoadFromFileWithMem, or aclmdlLoadFromMemWithMem call returns a model ID. |
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dataset |
Input and output |
Pointer to the input data for model inference. For details about the type definition, see aclmdlDataset. Data of type aclmdlDataset describes the input data for model inference, while data of type aclDataBuffer describes the input memory size and address. |
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index |
Input |
Index of the dynamic dimension size input. The input index is obtained by the aclmdlGetInputIndexByName call. The input name is fixed to ACL_DYNAMIC_TENSOR_NAME. |
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dims |
Input |
Pointer to all dimension information of a specific profile. For details about the type definition, see aclmdlIODims. The configured dimensions must be among the dimension profiles set during model building. For example, if input_shape="data:1,1,40,-1;label:1,-1;mask:-1,-1" and dynamic_dims="20,20,1,1; 40,40,2,2; 80,60,4,4" are passed for ATC model conversion and the runtime shape is (1, 1, 40, 20, 1, 20, 1, 1), the dims struct is defined as follows (with the name field reserved): dims.dimCount = 8 dims.dims[0] = 1 dims.dims[1] = 1 dims.dims[2] = 40 dims.dims[3] = 20 dims.dims[4] = 1 dims.dims[5] = 20 dims.dims[6] = 1 dims.dims[7] = 1 If you do not know the dynamic dimension profiles set during model building, you can call aclmdlGetInputDynamicDims to obtain the dynamic dimension profiles supported by a specified model and the dimensions of each profile. |
Returns
0 on success; else, failure. For details, see aclError.