reinterpret_cast<uint32_t*>(node.outputs->data)));
continue;
}
- else if (custom_name.compare("RSQRT") == 0) {
- CHECK_NN(ANeuralNetworksModel_addOperationEx(
- nn_model, ANEURALNETWORKS_RSQRT_EX,
- static_cast<uint32_t>(augmented_inputs.size()),
- augmented_inputs.data(),
- static_cast<uint32_t>(node.outputs->size),
- reinterpret_cast<uint32_t*>(node.outputs->data)));
- continue;
- }
- else if (custom_name.compare("SQRT") == 0) {
- CHECK_NN(ANeuralNetworksModel_addOperationEx(
- nn_model, ANEURALNETWORKS_SQRT_EX,
- static_cast<uint32_t>(augmented_inputs.size()),
- augmented_inputs.data(),
- static_cast<uint32_t>(node.outputs->size),
- reinterpret_cast<uint32_t*>(node.outputs->data)));
- continue;
- }
else if (custom_name.compare("SquaredDifference") == 0) {
CHECK_NN(ANeuralNetworksModel_addOperationEx(
nn_model, ANEURALNETWORKS_SQUARED_DIFFERENCE_EX,