diff --git a/tutorials/source_en/advanced_use/customized_debugging_information.md b/tutorials/source_en/advanced_use/customized_debugging_information.md index 9df41eacee25e059fc2b2bb5d3f07dea1ff1cd8f..0ad1636505435427b01b4565f6afa81c56213529 100644 --- a/tutorials/source_en/advanced_use/customized_debugging_information.md +++ b/tutorials/source_en/advanced_use/customized_debugging_information.md @@ -118,8 +118,8 @@ Here are two examples to further understand the usage of custom Callback. epoch_num = cb_params.cur_epoch_num step_num = cb_params.cur_step_num loss = cb_params.net_outputs - cur_time = time.time() - if (cur_time - cb_params.init_time) > self.run_time: + cur_time = time.time() + if (cur_time - cb_params.init_time) > self.run_time: print("epoch: ", epoch_num, " step: ", step_num, " loss: ", loss) run_context.request_stop() diff --git a/tutorials/source_en/use/saving_and_loading_model_parameters.md b/tutorials/source_en/use/saving_and_loading_model_parameters.md index e0bf53f682448a9f34bec0c1b0a7b14417fb0eeb..4612a1dbf90a622e1769038599fac2a74ae85226 100644 --- a/tutorials/source_en/use/saving_and_loading_model_parameters.md +++ b/tutorials/source_en/use/saving_and_loading_model_parameters.md @@ -117,7 +117,7 @@ resnet = ResNet50() load_checkpoint("resnet50-2_32.ckpt", net=resnet) dateset_eval = create_dataset(os.path.join(mnist_path, "test"), 32, 1) # define the test dataset loss = CrossEntropyLoss() -model = Model(resnet, loss) +model = Model(resnet, loss, metrics={"Accuracy": Accuracy()}) acc = model.eval(dataset_eval) ``` diff --git a/tutorials/source_zh_cn/advanced_use/customized_debugging_information.md b/tutorials/source_zh_cn/advanced_use/customized_debugging_information.md index 42c1eec0e9b68d681888e1cb92fc1cddff2668cd..957162c88510ff54c4257f89b1398973ad6ceaf5 100644 --- a/tutorials/source_zh_cn/advanced_use/customized_debugging_information.md +++ b/tutorials/source_zh_cn/advanced_use/customized_debugging_information.md @@ -120,8 +120,8 @@ class Callback(): epoch_num = cb_params.cur_epoch_num step_num = cb_params.cur_step_num loss = cb_params.net_outputs - cur_time = time.time() - if (cur_time - cb_params.init_time) > self.run_time: + cur_time = time.time() + if (cur_time - cb_params.init_time) > self.run_time: print("epoch: ", epoch_num, " step: ", step_num, " loss: ", loss) run_context.request_stop() diff --git a/tutorials/source_zh_cn/use/saving_and_loading_model_parameters.md b/tutorials/source_zh_cn/use/saving_and_loading_model_parameters.md index 327040e9731c972ad5f3cf5050343ddf15e8a0cd..18b297605a2f7f8fb7baf73063e596a1d4799d0c 100644 --- a/tutorials/source_zh_cn/use/saving_and_loading_model_parameters.md +++ b/tutorials/source_zh_cn/use/saving_and_loading_model_parameters.md @@ -118,7 +118,7 @@ resnet = ResNet50() load_checkpoint("resnet50-2_32.ckpt", net=resnet) dateset_eval = create_dataset(os.path.join(mnist_path, "test"), 32, 1) # define the test dataset loss = CrossEntropyLoss() -model = Model(resnet, loss) +model = Model(resnet, loss, metrics={"Accuracy": Accuracy()}) acc = model.eval(dataset_eval) ```