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authorJerry Ge <jerry.ge@arm.com>2023-05-23 20:59:32 +0000
committerDominic Symes <dominic.symes@arm.com>2023-06-15 18:25:54 +0000
commit135c95544fda260e8ce622cff7835b886a97663f (patch)
tree5d46f8f48978112abff037309a827b5844ee80de /reference_model/src/ops/ewise_binary.cc
parentcb7201e173961760c042cade591afe763c949c8f (diff)
downloadreference_model-135c95544fda260e8ce622cff7835b886a97663f.tar.gz
Add ERROR_IF to incorrect broadcast shapes
Signed-off-by: Jerry Ge <jerry.ge@arm.com> Change-Id: I7460ad9eed3ed5c7cec6e855a0303753ed28eb1c
Diffstat (limited to 'reference_model/src/ops/ewise_binary.cc')
-rw-r--r--reference_model/src/ops/ewise_binary.cc19
1 files changed, 17 insertions, 2 deletions
diff --git a/reference_model/src/ops/ewise_binary.cc b/reference_model/src/ops/ewise_binary.cc
index 1e873e7..2bc894d 100644
--- a/reference_model/src/ops/ewise_binary.cc
+++ b/reference_model/src/ops/ewise_binary.cc
@@ -85,25 +85,40 @@ int BinaryNodeBase<Rank, InDtype, OutDtype>::checkTensorAttributes()
}
template <int Rank, TOSA_REF_TYPE InDtype, TOSA_REF_TYPE OutDtype>
-int BinaryNodeBase<Rank, InDtype, OutDtype>::broadcast()
+int BinaryNodeBase<Rank, InDtype, OutDtype>::broadcast(std::vector<int>& calculated_shape)
{
const std::vector<int>& a_shape = a->getShape();
const std::vector<int>& b_shape = b->getShape();
const std::vector<int>& output_shape = result->getShape();
+ // calculates the multipliers for Eigen
for (int i = 0; i < Rank; i++)
{
bcast_a[i] = (a_shape[i] != output_shape[i] && a_shape[i] == 1) ? output_shape[i] : 1;
bcast_b[i] = (b_shape[i] != output_shape[i] && b_shape[i] == 1) ? output_shape[i] : 1;
}
+ // calculates the broadcasted output shape
+ calculated_shape = a_shape;
+ for (size_t i = 0; i < calculated_shape.size(); i++) {
+ if (calculated_shape[i] == 1) {
+ calculated_shape[i] = b_shape[i];
+ } else {
+ ERROR_IF(b_shape[i] != 1 && b_shape[i] != calculated_shape[i], "Broadcast_shape failure, input shapes are not compatible");
+ }
+ }
+
return 0;
}
template <int Rank, TOSA_REF_TYPE InDtype, TOSA_REF_TYPE OutDtype>
int BinaryNode<Rank, InDtype, OutDtype>::eval()
{
- this->broadcast();
+ std::vector<int> calculated_shape;
+ this->broadcast(calculated_shape);
+
+ auto result_shape = this->result->getShape();
+ ERROR_IF(calculated_shape != result_shape, "Broadcast_shape failure, calculated_shape and result_shape don't match");
Eigen::array<int, Rank> reshaper;
reshaper.fill(1);