I'm attempting to convert a large (really large, 26GB model) to RKNN and I came across this:
E load_pytorch: Traceback (most recent call last):
E load_pytorch: File "rknn/api/rknn_base.py", line 1616, in rknn.api.rknn_base.RKNNBase.load_pytorch
E load_pytorch: File "rknn/base/convertor/torch2onnx/pytorch.py", line 4574, in rknn.base.convertor.torch2onnx.pytorch.from_pytorch
E load_pytorch: File "rknn/base/convertor/torch2onnx/pytorch.py", line 3657, in rknn.base.convertor.torch2onnx.pytorch.PyTorchOpConverter.report_missing_conversion
E load_pytorch: File "rknn/api/rknn_log.py", line 92, in rknn.api.rknn_log.RKNNLog.e
E load_pytorch: ValueError: The following operators are not implemented: ['aten::scaled_dot_product_attention']
Is this supported by the RK3588? Will it be supported by the toolkit?
I'm attempting to convert a large (really large, 26GB model) to RKNN and I came across this:
Is this supported by the RK3588? Will it be supported by the toolkit?