[reference model] Add precise mode

This adds --precise_mode=1 option to tosa_referece_model,
which will cause reference model to convert all floating point tensors
to FP64 tensors and compute all operators accordingly.

Also adds optional -p arguments to test runners tosa_verif_run_tests.py
and tosa_verif_framework_compiler_runner.py to run tests in precise mode

Signed-off-by: Tai Ly <tai.ly@arm.com>
Change-Id: I156055216ad61710096497a8fa1a653be2a602a3

1 files changed, 4 insertions, 4 deletions

diff --git a/reference_model/src/model_runner_impl.cc b/reference_model/src/model_runner_impl.cc
index fa39c75..8089a1a 100644
--- a/reference_model/src/model_runner_impl.cc
+++ b/reference_model/src/model_runner_impl.cc
@@ -186,13 +186,13 @@ int ModelRunnerImpl::setInput(std::string input_name, uint8_t* raw_ptr, size_t s
     int status = 0;
     switch (tensor->getDtype())
     {
-        case DType::DType_FP16: {
+        case TOSA_REF_TYPE_FP16: {
             auto typed_ptr     = reinterpret_cast<half_float::half*>(raw_ptr);
             const int elements = size / sizeof(half_float::half);
             status             = setInput(input_name, ArrayProxy(elements, typed_ptr));
             break;
         }
-        case DType::DType_FP32: {
+        case TOSA_REF_TYPE_FP32: {
             auto typed_ptr     = reinterpret_cast<float*>(raw_ptr);
             const int elements = size / sizeof(float);
             status             = setInput(input_name, ArrayProxy(elements, typed_ptr));
@@ -252,13 +252,13 @@ int ModelRunnerImpl::getOutput(std::string output_name, uint8_t* raw_ptr, size_t
     int status = 0;
     switch (tensor->getDtype())
     {
-        case DType::DType_FP16: {
+        case TOSA_REF_TYPE_FP16: {
             auto typed_ptr     = reinterpret_cast<half_float::half*>(raw_ptr);
             const int elements = size / sizeof(half_float::half);
             status             = tensor->writeToVector(ArrayProxy(elements, typed_ptr));
             break;
         }
-        case DType::DType_FP32: {
+        case TOSA_REF_TYPE_FP32: {
             auto typed_ptr     = reinterpret_cast<float*>(raw_ptr);
             const int elements = size / sizeof(float);
             status             = tensor->writeToVector(ArrayProxy(elements, typed_ptr));