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Diffstat (limited to 'src/backends/neon/workloads/NeonConvolution2dWorkload.cpp')
-rw-r--r--src/backends/neon/workloads/NeonConvolution2dWorkload.cpp9
1 files changed, 0 insertions, 9 deletions
diff --git a/src/backends/neon/workloads/NeonConvolution2dWorkload.cpp b/src/backends/neon/workloads/NeonConvolution2dWorkload.cpp
index 12d8c460f9..586b9c9849 100644
--- a/src/backends/neon/workloads/NeonConvolution2dWorkload.cpp
+++ b/src/backends/neon/workloads/NeonConvolution2dWorkload.cpp
@@ -29,15 +29,6 @@ arm_compute::Status NeonConvolution2dWorkloadValidate(const TensorInfo& input,
bool isFastMathEnabled,
const ActivationDescriptor* activationDescriptor)
{
- // arm_compute::NEConvolutionLayer supports 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,
- "ArmNN NeonConvolution2dWorkload does not support non constant weights."};
- }
-
const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout);
const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout);
arm_compute::TensorInfo aclWeightsInfo = BuildArmComputeTensorInfo(weights, descriptor.m_DataLayout);