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* add acl backend * support dynamic batch size and dynamic image size * add preliminary ascend backend * support dtypes other than float * support dynamic_dims in SDK * fix dynamic batch size * better error handling * remove debug info * [WIP] dynamic shape support * fix static shape * fix dynamic batch size * add retinanet support * fix dynamic image size * fix dynamic image size * fix dynamic dims * fix dynamic dims * simplify config files * fix yolox support * fix negative index * support faster rcnn * add seg config * update benchmark * fix onnx2ascend dynamic shape * update docstring and benchmark * add unit test, update documents * fix wrapper * fix ut * fix for vit * error handling * context handling & multi-device support * build with stub libraries * add ci * fix lint * fix lint * update doc ref * fix typo * down with `target_link_directories` * setup python * makedir * fix ci * fix ci * remove verbose logs * fix UBs * export Error * fix lint * update checkenv Co-authored-by: grimoire <yaoqian@sensetime.com>
6 lines
207 B
Python
6 lines
207 B
Python
_base_ = ['./classification_static.py', '../_base_/backends/ascend.py']
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onnx_config = dict(input_shape=[224, 224])
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backend_config = dict(
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model_inputs=[dict(input_shapes=dict(input=[1, 3, 224, 224]))])
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