Replace node level check ASSERT_MSG_NODE()/FATAL_ERROR_NODE() with REQUIRE() or ERROR_IF()

- Adding return code enum class: {VALID, UNPREDICTABLE, ERROR}
- Runtime errors (e.g. memory allocation failure) will abort immediately, or will return one of the three return codes
  Part of the codes are re-written to pass REQUIRE() to the top-level (e.g. apply_scale_32/16())
- Update setExpectedFailure() to setExpectedReturnCode() on test generation script
- Update test regression script to interface with reference model change

Signed-off-by: Kevin Cheng <kevin.cheng@arm.com>
Change-Id: Ia063c936bcb2a54d6e379a5bb6801aa72d1186f1

1 files changed, 20 insertions, 14 deletions

diff --git a/reference_model/src/ops/image.cc b/reference_model/src/ops/image.cc
index 829a6e0..f4decae 100644
--- a/reference_model/src/ops/image.cc
+++ b/reference_model/src/ops/image.cc
@@ -22,8 +22,11 @@ using namespace Eigen;
 using namespace tosa;
 
 template <DType InDtype, DType OutDtype>
-OpResize<InDtype, OutDtype>::OpResize(TosaAttributeBase* attribute_, TosaQuantInfoBase* qinfo_, uint64_t id_)
-    : GraphNode(Op_RESIZE, id_)
+OpResize<InDtype, OutDtype>::OpResize(SubgraphTraverser* sgt_,
+                                      TosaAttributeBase* attribute_,
+                                      TosaQuantInfoBase* qinfo_,
+                                      uint64_t id_)
+    : GraphNode(sgt_, Op_RESIZE, id_)
 {
     setRequiredOperands(1, 1);
     setRequiredRank(4, 4);
@@ -102,10 +105,13 @@ int OpResize<InDtype, OutDtype>::eval()
     int out_width    = out->getShape()[2];
     int out_channels = out->getShape()[3];
 
-    ASSERT_MSG_NODE(shift > 0 && shift <= 11, "OpResize: attribute shift should be within [1, 11]");
-    ASSERT_MSG_NODE(stride[0] > 0 && stride[1] > 0, "OpResize: invalid attribute stride");
-    ASSERT_MSG_NODE(in_batch == out_batch, "OpResize: output tensor batch mismatch");
-    ASSERT_MSG_NODE(in_channels == out_channels, "OpResize: output tensor channel mismatch");
+    ERROR_IF(shift < 1 || shift > 11, "OpResize: attribute shift should be within [1, 11]");
+    ERROR_IF(stride[0] <= 0 || stride[0] >= (16 << shift), "OpResize: invalid attribute stride_x");
+    ERROR_IF(stride[1] <= 0 || stride[1] >= (16 << shift), "OpResize: invalid attribute stride_y");
+    ERROR_IF(offset[0] <= (-16 << shift) || offset[0] >= (16 << shift), "OpResize: invalid attribute offset_x");
+    ERROR_IF(offset[1] <= (-16 << shift) || offset[1] >= (16 << shift), "OpResize: invalid attribute offset_y");
+    ERROR_IF(in_batch != out_batch, "OpResize: output tensor batch mismatch");
+    ERROR_IF(in_channels != out_channels, "OpResize: output tensor channel mismatch");
 
     for (int b = 0; b < out_batch; b++)
         for (int c = 0; c < out_channels; c++)
@@ -125,8 +131,8 @@ int OpResize<InDtype, OutDtype>::eval()
                     int32_t ix0 = MAX(ix, 0);
                     int32_t ix1 = MIN(ix + 1, in_width - 1);
 
-                    ASSERT_MSG(iy0 <= iy1 && ix0 <= ix1, "OpResize: invalid index (iy0, iy1, ix0, ix1)=(%d,%d,%d,%d)",
-                               iy0, iy1, ix0, ix1);
+                    REQUIRE(iy0 <= iy1 && ix0 <= ix1, "OpResize: invalid index (iy0, iy1, ix0, ix1)=(%d,%d,%d,%d)", iy0,
+                            iy1, ix0, ix1);
 
                     OutEigenType acc;
                     if (mode == ResizeMode_BILINEAR)
@@ -167,10 +173,10 @@ int OpResize<DType_FLOAT, DType_FLOAT>::eval()
     int out_width    = out->getShape()[2];
     int out_channels = out->getShape()[3];
 
-    ASSERT_MSG_NODE(shift == 0, "OpResize: float mode must have 0 shift");
-    ASSERT_MSG_NODE(stride_fp[0] > 0.0f && stride_fp[1] > 0.0f, "OpResize: invalid attribute stride");
-    ASSERT_MSG_NODE(in_batch == out_batch, "OpResize: output tensor batch mismatch");
-    ASSERT_MSG_NODE(in_channels == out_channels, "OpResize: output tensor channel mismatch");
+    ERROR_IF(shift != 0, "OpResize: float mode must have 0 shift");
+    ERROR_IF(stride_fp[0] <= 0.0f || stride_fp[1] <= 0.0f, "OpResize: invalid attribute stride");
+    ERROR_IF(in_batch != out_batch, "OpResize: output tensor batch mismatch");
+    ERROR_IF(in_channels != out_channels, "OpResize: output tensor channel mismatch");
 
     for (int b = 0; b < out_batch; b++)
         for (int c = 0; c < out_channels; c++)
@@ -190,8 +196,8 @@ int OpResize<DType_FLOAT, DType_FLOAT>::eval()
                     int32_t ix0 = MAX(ix, 0);
                     int32_t ix1 = MIN(ix + 1, in_width - 1);
 
-                    ASSERT_MSG(iy0 <= iy1 && ix0 <= ix1, "OpResize: invalid index (iy0, iy1, ix0, ix1)=(%d,%d,%d,%d)",
-                               iy0, iy1, ix0, ix1);
+                    REQUIRE(iy0 <= iy1 && ix0 <= ix1, "OpResize: invalid index (iy0, iy1, ix0, ix1)=(%d,%d,%d,%d)", iy0,
+                            iy1, ix0, ix1);
 
                     OutEigenType acc;
                     if (mode == ResizeMode_BILINEAR)