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authorKeith Davis <keith.davis@arm.com>2022-04-07 11:32:00 +0100
committerRyan OShea <ryan.oshea3@arm.com>2022-05-19 11:05:15 +0100
commit2cddc72f7aa1eab43c69250e608d662909383ba7 (patch)
tree62c531bb82b96c14469c151c3738e1e0383e5972 /src/armnn/NetworkUtils.cpp
parent85edad42b8b76e76c5d969e4bc380b0e8a845c9b (diff)
downloadarmnn-2cddc72f7aa1eab43c69250e608d662909383ba7.tar.gz
IVGCVSW-6124 ConstTensorsAsInput: Conv2d - FrontEnd
* Update Front-end and Tools. * Updated Serializer, Deserializer and unit tests to reflect this. * Updated TfLiteDelegate, TfLiteParser and OnnxParser. * Updated Ref. * Fixed resulting Neon / CL tests * Unified optimizers for conv2d ops * Optimizer Fix - Fp32ToBf16 * Partial implementation for ACL backends to fix VTS failures !android-nn-driver:7477 Signed-off-by: Keith Davis <keith.davis@arm.com> Change-Id: I5fb18877f7ee32643e15a9818945356274bb401b
Diffstat (limited to 'src/armnn/NetworkUtils.cpp')
-rw-r--r--src/armnn/NetworkUtils.cpp9
1 files changed, 9 insertions, 0 deletions
diff --git a/src/armnn/NetworkUtils.cpp b/src/armnn/NetworkUtils.cpp
index 666ce3d069..7597798fa4 100644
--- a/src/armnn/NetworkUtils.cpp
+++ b/src/armnn/NetworkUtils.cpp
@@ -98,6 +98,15 @@ std::vector<ConvertFp32ToBf16Layer*> InsertConvertFp32ToBf16LayersBefore(Graph&
for (auto&& inputSlot = layer.BeginInputSlots(); inputSlot != layer.EndInputSlots(); ++inputSlot)
{
bool allowInsert = true;
+
+ if ((layer.GetType() == LayerType::Convolution2d ||
+ layer.GetType() == LayerType::FullyConnected ||
+ layer.GetType() == LayerType::DepthwiseConvolution2d)
+ && inputSlot->GetSlotIndex() == 2)
+ {
+ // Refrain from reducing bias to Bf16
+ continue;
+ }
if (expectCorrectInputType)
{
// Only insert ConvertFp32ToBf16Layer before FP32 input slots