lizhen2017 opened a new issue #12598: mx.contrib.tensorrt.tensorrt_bind got a bad result! URL: https://github.com/apache/incubator-mxnet/issues/12598 Environment:mxnet-tensorrt-cu90 tensorrt 4.0, cuda9.0, cudnn 7.1 python3.5 (1)Inference with sym.simple_bind got right detection result. executor = sym.simple_bind(ctx=ctx, data=batch_shape, grad_req='null', force_rebind=True) executor.copy_params_from(arg_params, aux_params) (2) Inference with mx.contrib.tensorrt.tensorrt_bind got bad result os.environ['MXNET_USE_TENSORRT'] = '1' arg_params.update(aux_params) all_params = dict([(k, v.as_in_context(mx.gpu(1))) for k, v in arg_params.items()]) executor = mx.contrib.tensorrt.tensorrt_bind(sym, ctx=mx.gpu(1), all_params=all_params, data=batch_shape, grad_req='null', force_rebind=True) (3)Inference with gluon got right detection result. self.__model = gluon.nn.SymbolBlock(outputs=mx.sym.load(self.__symbol), inputs=mx.sym.var('data')) self.__model.load_parameters(self.__params, ctx=self.__ctx) I don't know why.Thanks for your help! Will using tensort makes a lower accuracy?
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