MLECO-1904: Update to use latest TFLu
* Now uses seperate TFLu github repo
* Fixes to align with API changes
* Update ASR model ops and re-enable ASR inference tests
* Set default release level to release_with_logs
Signed-off-by: Richard Burton <richard.burton@arm.com>
Change-Id: I57612088985dece1413c5c00a6e442381e07dd91
diff --git a/source/application/tensorflow-lite-micro/Model.cc b/source/application/tensorflow-lite-micro/Model.cc
index e9c6cd3..80ef3c3 100644
--- a/source/application/tensorflow-lite-micro/Model.cc
+++ b/source/application/tensorflow-lite-micro/Model.cc
@@ -196,14 +196,22 @@
info("Activation buffer (a.k.a tensor arena) size used: %zu\n",
this->m_pInterpreter->arena_used_bytes());
- const size_t nOperators = this->m_pInterpreter->operators_size();
- info("Number of operators: %zu\n", nOperators);
+ /* We expect there to be only one subgraph. */
+ const uint32_t nOperators = tflite::NumSubgraphOperators(this->m_pModel, 0);
+ info("Number of operators: %" PRIu32 "\n", nOperators);
- /* For each operator, display registration information */
+ const tflite::SubGraph* subgraph = this->m_pModel->subgraphs()->Get(0);
+
+ auto* opcodes = this->m_pModel->operator_codes();
+
+ /* For each operator, display registration information. */
for (size_t i = 0 ; i < nOperators; ++i) {
- const tflite::NodeAndRegistration nodeReg =
- this->m_pInterpreter->node_and_registration(i);
- const TfLiteRegistration* reg = nodeReg.registration;
+ const tflite::Operator* op = subgraph->operators()->Get(i);
+ const tflite::OperatorCode* opcode = opcodes->Get(op->opcode_index());
+ const TfLiteRegistration* reg = nullptr;
+
+ tflite::GetRegistrationFromOpCode(opcode, this->GetOpResolver(),
+ this->m_pErrorReporter, ®);
std::string opName{""};
if (reg) {