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authorChunseok Lee <chunseok.lee@samsung.com>2019-01-08 17:36:34 +0900
committerChunseok Lee <chunseok.lee@samsung.com>2019-01-08 17:36:34 +0900
commitbd11b24234d7d43dfe05a81c520aa01ffad06e42 (patch)
tree57d0d4044977e4fa0e50cd9ba40b32006dff19eb /tests/tools/tflite_run/src/tensor_loader.cc
parent91f4ba45449f700a047a4aeea00b1a7c84e94c75 (diff)
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Imported Upstream version 0.3upstream/0.3
Diffstat (limited to 'tests/tools/tflite_run/src/tensor_loader.cc')
-rw-r--r--tests/tools/tflite_run/src/tensor_loader.cc67
1 files changed, 67 insertions, 0 deletions
diff --git a/tests/tools/tflite_run/src/tensor_loader.cc b/tests/tools/tflite_run/src/tensor_loader.cc
new file mode 100644
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+++ b/tests/tools/tflite_run/src/tensor_loader.cc
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+#include "tensor_loader.h"
+
+#include <assert.h>
+
+#include <fstream>
+
+#include "misc/tensor/Shape.h"
+
+namespace TFLiteRun
+{
+
+TensorLoader::TensorLoader(tflite::Interpreter &interpreter)
+ : _interpreter(interpreter), _raw_data(nullptr)
+{
+}
+
+void TensorLoader::load(const std::string &filename)
+{
+ // TODO Handle file open/read error
+ std::ifstream file(filename, std::ios::ate | std::ios::binary);
+ size_t file_size = file.tellg();
+ file.seekg(0, std::ios::beg);
+
+ uint32_t num_tensors = 0;
+ file.read(reinterpret_cast<char *>(&num_tensors), sizeof(num_tensors));
+
+ int tensor_indices_raw[num_tensors];
+ file.read(reinterpret_cast<char *>(tensor_indices_raw), sizeof(tensor_indices_raw));
+ std::vector<int> tensor_indices(tensor_indices_raw, tensor_indices_raw + num_tensors);
+
+ _raw_data = std::unique_ptr<float>(new float[file_size]);
+ file.read(reinterpret_cast<char *>(_raw_data.get()), file_size);
+
+ size_t offset = 0;
+ for (const auto &o : tensor_indices)
+ {
+ const TfLiteTensor *tensor = _interpreter.tensor(o);
+
+ // Convert tensor shape to `Shape` from `tensor->dims`
+ nnfw::misc::tensor::Shape shape(static_cast<size_t>(tensor->dims->size));
+ for (int d = 0; d < tensor->dims->size; d++)
+ {
+ shape.dim(d) = tensor->dims->data[d];
+ }
+
+ float *base = _raw_data.get() + offset;
+
+ assert(tensor->bytes % sizeof(float) == 0);
+ offset += (tensor->bytes / sizeof(float));
+
+ _tensor_map.insert(std::make_pair(o, nnfw::tflite::TensorView<float>(shape, base)));
+ }
+
+ // The file size and total output tensor size must match
+ assert(file_size == sizeof(num_tensors) + sizeof(tensor_indices_raw) + offset * sizeof(float));
+
+ file.close();
+}
+
+const nnfw::tflite::TensorView<float> &TensorLoader::get(int tensor_idx) const
+{
+ auto found = _tensor_map.find(tensor_idx);
+ assert(found != _tensor_map.end());
+ return found->second;
+}
+
+} // end of namespace TFLiteRun