aboutsummaryrefslogtreecommitdiff
path: root/src/backends/cl/workloads/ClFullyConnectedWorkload.cpp
diff options
context:
space:
mode:
Diffstat (limited to 'src/backends/cl/workloads/ClFullyConnectedWorkload.cpp')
-rw-r--r--src/backends/cl/workloads/ClFullyConnectedWorkload.cpp8
1 files changed, 0 insertions, 8 deletions
diff --git a/src/backends/cl/workloads/ClFullyConnectedWorkload.cpp b/src/backends/cl/workloads/ClFullyConnectedWorkload.cpp
index c2da5f297a..0e1efe0239 100644
--- a/src/backends/cl/workloads/ClFullyConnectedWorkload.cpp
+++ b/src/backends/cl/workloads/ClFullyConnectedWorkload.cpp
@@ -23,14 +23,6 @@ arm_compute::Status ClFullyConnectedWorkloadValidate(const TensorInfo& input,
const FullyConnectedDescriptor& descriptor,
const ActivationDescriptor* activationDescriptor)
{
- // The CL 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 ClFullyConnectedWorkload 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);