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Save XOR weights in .ptd #8014

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Merged
merged 1 commit into from
Jan 29, 2025
Merged

Save XOR weights in .ptd #8014

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1 change: 1 addition & 0 deletions extension/training/examples/XOR/targets.bzl
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Original file line number Diff line number Diff line change
Expand Up @@ -17,6 +17,7 @@ def define_common_targets():
"//executorch/runtime/executor:program",
"//executorch/extension/data_loader:file_data_loader",
"//executorch/kernels/portable:generated_lib",
"//executorch/extension/flat_tensor/serialize:serialize_cpp"
],
external_deps = ["gflags"],
define_static_target = True,
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3 changes: 2 additions & 1 deletion extension/training/examples/XOR/test/test_export.py
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Expand Up @@ -13,6 +13,7 @@

class TestXORExport(unittest.TestCase):
def test(self):
_ = _export_model()
ep = _export_model()
self.assertTrue(ep is not None)
# Expect that we reach this far without an exception being thrown.
self.assertTrue(True)
8 changes: 8 additions & 0 deletions extension/training/examples/XOR/train.cpp
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Expand Up @@ -7,6 +7,7 @@
*/

#include <executorch/extension/data_loader/file_data_loader.h>
#include <executorch/extension/flat_tensor/serialize/serialize.h>
#include <executorch/extension/tensor/tensor.h>
#include <executorch/extension/training/module/training_module.h>
#include <executorch/extension/training/optimizer/sgd.h>
Expand Down Expand Up @@ -105,4 +106,11 @@ int main(int argc, char** argv) {
}
optimizer.step(mod.named_gradients("forward").get());
}
std::map<std::string, exec_aten::Tensor> param_map;
for (auto& param : param_res.get()) {
param_map.insert(std::pair<std::string, exec_aten::Tensor>{
std::string(param.first.data()), param.second});
}

executorch::extension::flat_tensor::save_ptd("xor.ptd", param_map, 16);
}
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