From 85298e9f605a86d040328746c58c4426ff5d461c Mon Sep 17 00:00:00 2001 From: zhengjun10 Date: Mon, 17 Jan 2022 12:39:45 +0800 Subject: [PATCH] fix log print --- .../src/main/java/com/mindspore/lite/demo/Main.java | 4 ++-- .../src/main/java/com/mindspore/lite/demo/MainActivity.java | 4 ++-- .../main/java/com/mindspore/lite/train_lenet/NetRunner.java | 2 +- mindspore/lite/test/st/java/src/main/java/Benchmark.java | 2 +- 4 files changed, 6 insertions(+), 6 deletions(-) diff --git a/mindspore/lite/examples/quick_start_java/src/main/java/com/mindspore/lite/demo/Main.java b/mindspore/lite/examples/quick_start_java/src/main/java/com/mindspore/lite/demo/Main.java index 54f503912c..095ebd531a 100644 --- a/mindspore/lite/examples/quick_start_java/src/main/java/com/mindspore/lite/demo/Main.java +++ b/mindspore/lite/examples/quick_start_java/src/main/java/com/mindspore/lite/demo/Main.java @@ -61,7 +61,7 @@ public class Main { private static boolean run() { MSTensor inputTensor = model.getInputByTensorName("graph_input-173"); if (inputTensor.getDataType() != DataType.kNumberTypeFloat32) { - System.err.println("Input tensor shape do not float, the data type is " + inputTensor.getDataType()); + System.err.println("Input tensor data type is not float, the data type is " + inputTensor.getDataType()); return false; } // Generator Random Data. @@ -91,7 +91,7 @@ public class Main { } msgSb.append("]"); if (outTensor.getDataType() != DataType.kNumberTypeFloat32) { - System.err.println("output tensor shape do not float, the data type is " + outTensor.getDataType()); + System.err.println("output tensor data type is not float, the data type is " + outTensor.getDataType()); return false; } float[] result = outTensor.getFloatData(); diff --git a/mindspore/lite/examples/runtime_java/app/src/main/java/com/mindspore/lite/demo/MainActivity.java b/mindspore/lite/examples/runtime_java/app/src/main/java/com/mindspore/lite/demo/MainActivity.java index 98ce6c9205..fcbce47df5 100644 --- a/mindspore/lite/examples/runtime_java/app/src/main/java/com/mindspore/lite/demo/MainActivity.java +++ b/mindspore/lite/examples/runtime_java/app/src/main/java/com/mindspore/lite/demo/MainActivity.java @@ -123,7 +123,7 @@ public class MainActivity extends AppCompatActivity { } msgSb.append("]"); if (outTensor.getDataType() != DataType.kNumberTypeFloat32) { - Log.e(TAG, "output tensor shape do not float, the data type is " + outTensor.getDataType()); + Log.e(TAG, "output tensor data type is not float, the data type is " + outTensor.getDataType()); return false; } float[] result = outTensor.getFloatData(); @@ -143,7 +143,7 @@ public class MainActivity extends AppCompatActivity { Log.i(TAG, "runInference: "); MSTensor inputTensor = model.getInputByTensorName("graph_input-173"); if (inputTensor.getDataType() != DataType.kNumberTypeFloat32) { - Log.e(TAG, "Input tensor shape do not float, the data type is " + inputTensor.getDataType()); + Log.e(TAG, "Input tensor data type is not float, the data type is " + inputTensor.getDataType()); return false; } // Generator Random Data. diff --git a/mindspore/lite/examples/train_lenet_java/src/main/java/com/mindspore/lite/train_lenet/NetRunner.java b/mindspore/lite/examples/train_lenet_java/src/main/java/com/mindspore/lite/train_lenet/NetRunner.java index f55dfbc6da..e400dd18e6 100644 --- a/mindspore/lite/examples/train_lenet_java/src/main/java/com/mindspore/lite/train_lenet/NetRunner.java +++ b/mindspore/lite/examples/train_lenet_java/src/main/java/com/mindspore/lite/train_lenet/NetRunner.java @@ -177,7 +177,7 @@ public class NetRunner { max_acc = acc; } System.out.println("step_" + (i + 1) + ": \tLoss is " + loss + " [min=" + min_loss + "]" + " " + - "max_accc=" + max_acc); + "max_acc=" + max_acc); } } } diff --git a/mindspore/lite/test/st/java/src/main/java/Benchmark.java b/mindspore/lite/test/st/java/src/main/java/Benchmark.java index e0b878249f..c005ce6548 100644 --- a/mindspore/lite/test/st/java/src/main/java/Benchmark.java +++ b/mindspore/lite/test/st/java/src/main/java/Benchmark.java @@ -149,7 +149,7 @@ public class Benchmark { for (int i = 0; i < session.getInputs().size(); i++) { MSTensor inputTensor = session.getInputs().get(i); if (inputTensor.getDataType() != DataType.kNumberTypeFloat32) { - System.err.println("Input tensor shape do not float, the data type is " + inputTensor.getDataType()); + System.err.println("Input tensor data type is not float, the data type is " + inputTensor.getDataType()); freeBuffer(); return; }