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Handling multiple inputs/outputs with zero-copy #5

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Jan 21, 2025
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Handling multiple inputs/outputs with zero-copy #5

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38 changes: 24 additions & 14 deletions backends/openvino/runtime/OpenvinoBackend.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -83,25 +83,35 @@ class OpenvinoBackend final : public ::executorch::runtime::BackendInterface {

auto infer_request = execution_handle->infer_request;

// Assume first argument is the input tensor
auto input_tensor = args[0]->toTensor();
ov::Shape input_shape(input_tensor.sizes().begin(), input_tensor.sizes().end());
size_t num_inputs = infer_request->get_compiled_model().inputs().size();
size_t num_outputs = infer_request->get_compiled_model().outputs().size();

// Convert input tensor to OpenVINO tensor
ov::element::Type ov_type = convert_to_openvino_type(input_tensor.scalar_type());
ov::Tensor ov_input_tensor(ov_type, input_shape, input_tensor.mutable_data_ptr());
// Set inputs
for (size_t i = 0; i < num_inputs; i++) {
auto input_tensor = args[i]->toTensor();
ov::Shape input_shape(input_tensor.sizes().begin(), input_tensor.sizes().end());

//infer_request->set_tensor("input", ov_input_tensor);
infer_request->set_input_tensor(0, ov_input_tensor);
// Convert input tensor to OpenVINO tensor
ov::element::Type ov_type = convert_to_openvino_type(input_tensor.scalar_type());
ov::Tensor ov_input_tensor(ov_type, input_shape, input_tensor.mutable_data_ptr());

// Execute the inference
infer_request->infer();
infer_request->set_input_tensor(i, ov_input_tensor);
}

// Set outputs
for (size_t i = 0; i < num_outputs; i++) {
auto output_tensor = args[num_inputs+i]->toTensor();
ov::Shape output_shape(output_tensor.sizes().begin(), output_tensor.sizes().end());

// Retrieve and copy output
auto output_tensor = args[1]->toTensor(); // Assume second argument is the output
ov::Tensor ov_output_tensor = infer_request->get_output_tensor(0); //get_tensor("output");
// Convert input tensor to OpenVINO tensor
ov::element::Type ov_type = convert_to_openvino_type(output_tensor.scalar_type());
ov::Tensor ov_output_tensor(ov_type, output_shape, output_tensor.mutable_data_ptr());

std::memcpy(output_tensor.mutable_data_ptr(), ov_output_tensor.data(), ov_output_tensor.get_byte_size());
infer_request->set_output_tensor(i, ov_output_tensor);
}

// Execute the inference
infer_request->infer();

return Error::Ok;
}
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