1 files changed, 97 insertions, 0 deletions
diff --git a/tests/tools/onert_train/src/rawformatter.cc b/tests/tools/onert_train/src/rawformatter.cc
new file mode 100644
index 000000000..a17071684
--- /dev/null
+++ b/tests/tools/onert_train/src/rawformatter.cc
@@ -0,0 +1,97 @@
+/*
+ * Copyright (c) 2023 Samsung Electronics Co., Ltd. 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 "rawformatter.h"
+#include "nnfw.h"
+#include "nnfw_util.h"
+
+#include <iostream>
+#include <fstream>
+#include <stdexcept>
+
+namespace onert_train
+{
+void RawFormatter::loadInputs(const std::string &filename, std::vector<Allocation> &inputs)
+{
+  uint32_t num_inputs;
+  NNPR_ENSURE_STATUS(nnfw_input_size(session_, &num_inputs));
+
+  // Support multiple inputs
+  // Option 1: Get comman-separated input file list like --load:raw a,b,c
+  // Option 2: Get prefix --load:raw in
+  //           Internally access in.0, in.1, in.2, ... in.{N-1} where N is determined by nnfw info
+  //           query api.
+  //
+  // Currently Option 2 is implemented.
+  try
+  {
+    for (uint32_t i = 0; i < num_inputs; ++i)
+    {
+      nnfw_tensorinfo ti;
+      NNPR_ENSURE_STATUS(nnfw_input_tensorinfo(session_, i, &ti));
+
+      // allocate memory for data
+      auto bufsz = bufsize_for(&ti);
+      inputs[i].alloc(bufsz);
+
+      std::ifstream file(filename + "." + std::to_string(i), std::ios::ate | std::ios::binary);
+      auto filesz = file.tellg();
+      if (bufsz != filesz)
+      {
+        throw std::runtime_error("Input " + std::to_string(i) +
+                                 " size does not match: " + std::to_string(bufsz) +
+                                 " expected, but " + std::to_string(filesz) + " provided.");
+      }
+      file.seekg(0, std::ios::beg);
+      file.read(reinterpret_cast<char *>(inputs[i].data()), filesz);
+      file.close();
+
+      NNPR_ENSURE_STATUS(nnfw_set_input(session_, i, ti.dtype, inputs[i].data(), bufsz));
+      NNPR_ENSURE_STATUS(nnfw_set_input_layout(session_, i, NNFW_LAYOUT_CHANNELS_LAST));
+    }
+  }
+  catch (const std::exception &e)
+  {
+    std::cerr << e.what() << std::endl;
+    std::exit(-1);
+  }
+};
+
+void RawFormatter::dumpOutputs(const std::string &filename, std::vector<Allocation> &outputs)
+{
+  uint32_t num_outputs;
+  NNPR_ENSURE_STATUS(nnfw_output_size(session_, &num_outputs));
+  try
+  {
+    for (uint32_t i = 0; i < num_outputs; i++)
+    {
+      nnfw_tensorinfo ti;
+      NNPR_ENSURE_STATUS(nnfw_output_tensorinfo(session_, i, &ti));
+      auto bufsz = bufsize_for(&ti);
+
+      std::ofstream file(filename + "." + std::to_string(i), std::ios::out | std::ios::binary);
+      file.write(reinterpret_cast<const char *>(outputs[i].data()), bufsz);
+      file.close();
+      std::cerr << filename + "." + std::to_string(i) + " is generated.\n";
+    }
+  }
+  catch (const std::runtime_error &e)
+  {
+    std::cerr << "Error during dumpOutputs on onert_run : " << e.what() << std::endl;
+    std::exit(-1);
+  }
+}
+} // end of namespace onert_train