Function: set_dynamic_hw_size

Product	Supported (√/x)
Atlas A3 training products / Atlas A3 inference products	√
Atlas A2 training products / Atlas A2 inference products	√
Atlas training products	√
Atlas inference products	√
Atlas 200I/500 A2 inference products	√

Sets the runtime image size for dynamic-shape model inference.

C Prototype

        
             aclError aclmdlSetDynamicHWSize(uint32_t modelId, aclmdlDataset *dataset, size_t index, uint64_t height, uint64_t width)

Python Function

        
             ret = acl.mdl.set_dynamic_hw_size(model_id, dataset, index, height, width)

Parameter	Description
model_id	Int, model ID. You can obtain the model ID after the model is successfully loaded by calling the following APIs: acl.mdl.load_from_file acl.mdl.load_from_mem acl.mdl.load_from_file_with_mem acl.mdl.load_from_mem_with_mem
dataset	Int, model input data. Data of type aclmdlDataset describes the input data for model inference, while data of type aclDataBuffer describes the input buffer size and address. For details, see aclmdlDataset.
index	Int, index of the input dynamic batch, obtained by calling acl.mdl.get_input_index_by_name. For dynamic batch and image size, the input name is fixed to ascend_mbatch_shape_data. For dynamic AIPP, the input name is fixed to ascend_dynamic_aipp_data.
height	Int, height to set.
width	Int, width to set. The configured image size (height and width) must be among the image size profiles set during model building. You can also call acl.mdl.get_dynamic_hw to obtain the number of image size profiles supported by a specified model and the width and height of each profile.

Return Value	Description
ret	Int, error code: 0 on success; else, failure.

Parent topic: Model Execution