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Debug #958

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3 changes: 3 additions & 0 deletions shared/api/c_api_processor.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -3,6 +3,7 @@

#include "ortx_processor.h"
#include "image_processor.h"
#include <iostream>

#include "c_api_utils.hpp"

Expand Down Expand Up @@ -89,8 +90,10 @@ extError_t ORTX_API_CALL OrtxImagePreProcess(OrtxProcessor* processor, OrtxRawIm
}

auto result_ptr = std::make_unique<TensorResult>();
std::cout << "OrtxImagePreProcess: num_images=" << images_ptr->num_images << std::endl;
status =
processor_ptr->PreProcess(ort_extensions::span(images_ptr->images.get(), images_ptr->num_images), *result_ptr);
std::cout << "OrtxImagePreProcess: Finish PreProcess" << std::endl;
if (status.IsOk()) {
*result = static_cast<OrtxTensorResult*>(result_ptr.release());
} else {
Expand Down
5 changes: 4 additions & 1 deletion shared/api/image_processor.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -2,6 +2,7 @@
// Licensed under the MIT License.

#include <string_view>
#include <iostream>

#include "nlohmann/json.hpp"
#include "file_sys.h"
Expand Down Expand Up @@ -154,6 +155,7 @@ ImageProcessor::PreProcess(ort_extensions::span<ImageRawData> image_data,
OrtxStatus ImageProcessor::PreProcess(ort_extensions::span<ImageRawData> image_data, TensorResult& r) const {
std::vector<TensorArgs> inputs(image_data.size());
std::vector<TensorPtr> input_tensor_objects(image_data.size());
std::cout << "ImageProcessor::PreProcess image_data size=" << image_data.size() << std::endl;
for (size_t i = 0; i < image_data.size(); ++i) {
auto& ts_input = inputs[i];
ImageRawData& image = image_data[i];
Expand All @@ -168,7 +170,7 @@ OrtxStatus ImageProcessor::PreProcess(ort_extensions::span<ImageRawData> image_d
if (!status.IsOk()) {
return status;
}

std::cout << "ImageProcessor::PreProcess Finish Push" << std::endl;
// clear the input tensors
input_tensor_objects.clear();

Expand All @@ -182,6 +184,7 @@ OrtxStatus ImageProcessor::PreProcess(ort_extensions::span<ImageRawData> image_d
if (status.IsOk()) {
r.SetTensors(std::move(img_result));
}
std::cout << "ImageProcessor::PreProcess Finish" << std::endl;

return status;
}
Expand Down
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