load model进行预测报错 “it holds double, but desires to be float ”
Created by: aixier
可以load了 [inference_program, feed_target_names, fetch_targets] = fluid.io.load_inference_model(dirname=path, executor=exe, model_filename="model", params_filename="params") 但是设置: im_info= np.array([800.,800.,1.]) 然后 batch_outputs = exe.run(inference_program, feed={feed_target_names[0]: tensor_img, feed_target_names[1]: im_info, feed_target_names[2]: image_shape[np.newaxis, :]}, fetch_list=fetch_targets, return_numpy=False)
会报错 PaddleCheckError: Tensor holds the wrong type, it holds double, but desires to be float at [D:\1.6.1\paddle\paddle/fluid /framework/tensor_impl.h:30] @qingqing01