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| Original file line number | Diff line number | Diff line change |
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@@ -88,4 +88,3 @@ set CUDAFE_FLAGS=--sdk_dir "$(WindowsSdkDir)" | |
| </ClCompile> | ||
| </ItemDefinitionGroup> | ||
| </Project> | ||
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,84 @@ | ||
| // Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved. | ||
| // | ||
| // Licensed under the Apache License, Version 2.0 (the "License"); | ||
| // you may not use this file except in compliance with the License. | ||
| // You may obtain a copy of the License at | ||
| // | ||
| // http://www.apache.org/licenses/LICENSE-2.0 | ||
| // | ||
| // Unless required by applicable law or agreed to in writing, software | ||
| // distributed under the License is distributed on an "AS IS" BASIS, | ||
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| // See the License for the specific language governing permissions and | ||
| // limitations under the License. | ||
| #include <pd_inference_api.h> | ||
| #include <stdio.h> | ||
| #include <stdlib.h> | ||
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| void ReadData(float* data, int size); | ||
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| int main(int argc, char* argv[]) { | ||
| PD_Config* config = PD_ConfigCreate(); | ||
| PD_ConfigSetModel(config, "data/model/__model__", "data/model/__params__"); | ||
| PD_ConfigDisableGlogInfo(config); | ||
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| PD_Predictor* predictor = PD_PredictorCreate(config); | ||
| // config has destroyed in PD_PredictorCreate | ||
| config = NULL; | ||
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| int input_num = PD_PredictorGetInputNum(predictor); | ||
| printf("Input num: %d\n", input_num); | ||
| int output_num = PD_PredictorGetOutputNum(predictor); | ||
| printf("Output num: %d\n", output_num); | ||
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| PD_OneDimArrayCstr* input_names = PD_PredictorGetInputNames(predictor); | ||
| PD_Tensor* input_tensor = | ||
| PD_PredictorGetInputHandle(predictor, input_names->data[0]); | ||
| PD_OneDimArrayCstrDestroy(input_names); | ||
| input_names = NULL; | ||
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| int32_t shape[] = {1, 3, 300, 300}; | ||
| float* data = (float*)malloc(sizeof(float) * 1 * 3 * 300 * 300); // NOLINT | ||
| ReadData(data, 1 * 3 * 300 * 300); // NOLINT | ||
| PD_TensorReshape(input_tensor, 4, shape); | ||
| PD_TensorCopyFromCpuFloat(input_tensor, data); | ||
| free(data); | ||
| data = NULL; | ||
| PD_PredictorRun(predictor); | ||
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| PD_OneDimArrayCstr* output_names = PD_PredictorGetOutputNames(predictor); | ||
| PD_Tensor* output_tensor = | ||
| PD_PredictorGetOutputHandle(predictor, output_names->data[0]); | ||
| PD_OneDimArrayCstrDestroy(output_names); | ||
| output_names = nullptr; | ||
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| PD_OneDimArrayInt32* out_shape = PD_TensorGetShape(output_tensor); | ||
| int32_t size = 1; | ||
| for (size_t index = 0; index < out_shape->size; ++index) { | ||
| size = size * out_shape->data[index]; | ||
| } | ||
| PD_OneDimArrayInt32Destroy(out_shape); | ||
| out_shape = NULL; | ||
|
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| data = (float*)malloc(sizeof(float) * size); // NOLINT | ||
| PD_TensorCopyToCpuFloat(output_tensor, data); | ||
| free(data); | ||
| data = NULL; | ||
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| PD_TensorDestroy(output_tensor); | ||
| output_tensor = NULL; | ||
| PD_TensorDestroy(input_tensor); | ||
| input_tensor = NULL; | ||
| PD_PredictorDestroy(predictor); | ||
| predictor = NULL; | ||
|
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| return 0; | ||
| } | ||
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| void ReadData(float* data, int n) { | ||
| FILE* fp = fopen("data/data.txt", "r"); | ||
| for (int i = 0; i < n; i++) { | ||
| fscanf(fp, "%f", &data[i]); | ||
| } | ||
| fclose(fp); | ||
| } |
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