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

1 files changed, 15 insertions, 1 deletions

diff --git a/src/backends/neon/workloads/NeonConvolution2dWorkload.cpp b/src/backends/neon/workloads/NeonConvolution2dWorkload.cpp
index fce57e62a8..d5716c8014 100644
--- a/src/backends/neon/workloads/NeonConvolution2dWorkload.cpp
+++ b/src/backends/neon/workloads/NeonConvolution2dWorkload.cpp
@@ -29,6 +29,15 @@ arm_compute::Status NeonConvolution2dWorkloadValidate(const TensorInfo& input,
                                                       bool isFastMathEnabled,
                                                       const ActivationDescriptor* activationDescriptor)
 {
+    // The 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,
+                                   "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);
     const arm_compute::TensorInfo aclWeightsInfo = BuildArmComputeTensorInfo(weights, descriptor.m_DataLayout);
@@ -42,7 +51,12 @@ arm_compute::Status NeonConvolution2dWorkloadValidate(const TensorInfo& input,
     if (descriptor.m_BiasEnabled)
     {
         ARMNN_ASSERT(biases.has_value());
-
+        // Same for bias as weights. We don't currently support non const.
+        if (!biases.value().IsConstant())
+        {
+            return arm_compute::Status{arm_compute::ErrorCode::RUNTIME_ERROR,
+                                       "ArmNN NeonConvolution2dWorkload does not support non constant bias."};
+        }
         aclBiasesInfo = BuildArmComputeTensorInfo(biases.value(), descriptor.m_DataLayout);
         optionalAclBiasesInfo = &aclBiasesInfo;
     }