Add abs calculations under precise_mode

This adds a second run of reference model under precise_mode
when test_desc.json contains a "compliance" dictionary which
contains a "mode" entry with value "dot product".

In this second run, abs_mode will be set to true, which causes:

1. evaluation will take absolute values of inputs for these operators:
	conv2d, conv3d, depthwise_conv2d, fully_connected,
	matmul, transpose_conv2d, fft2d, rfft2d
	reduce_sum, avg_pool2d
2. output files will have prefix "bounds_" prepended to them

Signed-off-by: Tai Ly <tai.ly@arm.com>
Change-Id: I7070ecc7ead2d2ea3375c44663d653c6772b88e0

1 files changed, 15 insertions, 5 deletions

diff --git a/reference_model/src/ops/reduction.cc b/reference_model/src/ops/reduction.cc
index fd48472..f07ffd7 100644
--- a/reference_model/src/ops/reduction.cc
+++ b/reference_model/src/ops/reduction.cc
@@ -192,7 +192,10 @@ int OpReduceSum<Rank, Dtype>::eval()
     {
         case TOSA_REF_TYPE_FP16:
         case TOSA_REF_TYPE_BF16:
-            this->out->getTensor() = this->in->getTensor().sum(this->dims).reshape(this->out->getTensor().dimensions()).unaryExpr([](float f){return fpTrunc<Dtype>(f);});
+            this->out->getTensor() = this->in->getTensor()
+                                         .sum(this->dims)
+                                         .reshape(this->out->getTensor().dimensions())
+                                         .unaryExpr([](float f) { return fpTrunc<Dtype>(f); });
             break;
         case TOSA_REF_TYPE_FP32:
         case TOSA_REF_TYPE_INT32:
@@ -225,7 +228,9 @@ struct SumRequiresReducer {
 template <int Rank, TOSA_REF_TYPE Dtype>
 int OpReduceSumInt<Rank, Dtype>::eval()
 {
-    this->out->getTensor() = this->in->getTensor().reduce(this->dims, SumRequiresReducer(this->parent_sgt)).reshape(this->out->getTensor().dimensions());
+    this->out->getTensor() = this->in->getTensor()
+                                 .reduce(this->dims, SumRequiresReducer(this->parent_sgt))
+                                 .reshape(this->out->getTensor().dimensions());
 
     return GraphNode::eval();
 }
@@ -250,12 +255,17 @@ struct SumDoubleReducer
 template <int Rank, TOSA_REF_TYPE Dtype>
 int OpReduceSumDouble<Rank, Dtype>::eval()
 {
+    typename ReduceNode<Rank, Dtype>::TIn in_val = this->in->getTensor();
+    if (g_func_config.abs_mode)
+    {
+        // in abs_mode: take abs values of in value
+        in_val = in_val.abs();
+    }
     switch (Dtype)
     {
         case TOSA_REF_TYPE_FP64:
-            this->out->getTensor() = this->in->getTensor()
-                                         .reduce(this->dims, SumDoubleReducer())
-                                         .reshape(this->out->getTensor().dimensions());
+            this->out->getTensor() =
+                in_val.reduce(this->dims, SumDoubleReducer()).reshape(this->out->getTensor().dimensions());
             break;
         default:
             ERROR_IF(true, "unsupported TOSA_REF_TYPE %s", EnumNameTOSAREFTYPE(Dtype));