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-rw-r--r--src/backends/neon/workloads/NeonFullyConnectedWorkload.cpp8
1 files changed, 0 insertions, 8 deletions
diff --git a/src/backends/neon/workloads/NeonFullyConnectedWorkload.cpp b/src/backends/neon/workloads/NeonFullyConnectedWorkload.cpp
index d3716806b3..0b91eb37c2 100644
--- a/src/backends/neon/workloads/NeonFullyConnectedWorkload.cpp
+++ b/src/backends/neon/workloads/NeonFullyConnectedWorkload.cpp
@@ -28,14 +28,6 @@ arm_compute::Status NeonFullyConnectedWorkloadValidate(const TensorInfo& input,
const FullyConnectedDescriptor& descriptor,
const ActivationDescriptor* activationDescriptor)
{
- // The NEON implemented workload does support both const and non const
- // weights. However, in the case of non const weights we'd have to call
- // prepare or configure for each inference which we're not setup to do just yet.
- if (!weights.IsConstant())
- {
- return arm_compute::Status{arm_compute::ErrorCode::RUNTIME_ERROR,
- "Arm NN NeonFullyConnectedWorkload does not support non constant weights."};
- }
const arm_compute::TensorInfo aclInput = BuildArmComputeTensorInfo(input);
const arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo(output);
arm_compute::TensorInfo aclWeights = BuildArmComputeTensorInfo(weights);