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fix native inference #3395

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fix native inference #3395

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10 changes: 5 additions & 5 deletions doc/fluid/advanced_guide/inference_deployment/inference/native_infer.md
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Original file line number Diff line number Diff line change
Expand Up @@ -57,17 +57,17 @@ void RunAnalysis(int batch_size, std::string model_dirname) {

// 2. 根据config 创建predictor，并准备输入数据，此处以全0数据为例
auto predictor = CreatePaddlePredictor(config);
int channels = 3;
int height = 224;
int width = 224;
float input[batch_size * channels * height * width] = {0};
const int channels = 3;
const int height = 224;
const int width = 224;
std::vector<float> input(batch_size * channels * height * width, 0.f);

// 3. 创建输入
// 使用了ZeroCopy接口，可以避免预测中多余的CPU copy，提升预测性能
auto input_names = predictor->GetInputNames();
auto input_t = predictor->GetInputTensor(input_names[0]);
input_t->Reshape({batch_size, channels, height, width});
input_t->copy_from_cpu(input);
input_t->copy_from_cpu(input.data());

// 4. 运行预测引擎
CHECK(predictor->ZeroCopyRun());
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10 changes: 5 additions & 5 deletions doc/paddle/guides/05_inference_deployment/inference/native_infer.md
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Original file line number Diff line number Diff line change
Expand Up @@ -55,17 +55,17 @@ void RunAnalysis(int batch_size, std::string model_dirname) {

// 2. 根据config 创建predictor，并准备输入数据，此处以全0数据为例
auto predictor = CreatePredictor(config);
int channels = 3;
int height = 224;
int width = 224;
float input[batch_size * channels * height * width] = {0};
const int channels = 3;
const int height = 224;
const int width = 224;
std::vector<float> input(batch_size * channels * height * width, 0.f);

// 3. 创建输入
// 使用了ZeroCopy接口，可以避免预测中多余的CPU copy，提升预测性能
auto input_names = predictor->GetInputNames();
auto input_t = predictor->GetInputHandle(input_names[0]);
input_t->Reshape({batch_size, channels, height, width});
input_t->CopyFromCpu(input);
input_t->CopyFromCpu(input.data());

// 4. 运行预测引擎
CHECK(predictor->Run());
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