1 files changed, 8 insertions, 2 deletions
diff --git a/src/runtime/GLES_COMPUTE/functions/GCFullyConnectedLayer.cpp b/src/runtime/GLES_COMPUTE/functions/GCFullyConnectedLayer.cpp
index 0f8f8e6c94..a300033bb2 100644
--- a/src/runtime/GLES_COMPUTE/functions/GCFullyConnectedLayer.cpp
+++ b/src/runtime/GLES_COMPUTE/functions/GCFullyConnectedLayer.cpp
@@ -79,7 +79,8 @@ void GCFullyConnectedLayer::configure_fc_fc(const IGCTensor *input, const IGCTen
     _mm_kernel.configure(input, weights, output, 1.0f, false);
 }
 
-void GCFullyConnectedLayer::configure(const IGCTensor *input, const IGCTensor *weights, const IGCTensor *biases, IGCTensor *output, bool transpose_weights, bool are_weights_reshaped)
+void GCFullyConnectedLayer::configure(const IGCTensor *input, const IGCTensor *weights, const IGCTensor *biases, IGCTensor *output,
+                                      bool transpose_weights, bool are_weights_reshaped, bool retain_internal_weights)
 {
     ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32, DataType::F16);
     ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, weights, output);
@@ -141,11 +142,14 @@ void GCFullyConnectedLayer::configure(const IGCTensor *input, const IGCTensor *w
     }
 
     // Allocate the transpose tensor if the are_weights_reshaped flag is false and once all the configure methods have been called
-    if(!_are_weights_reshaped)
+    if(!_are_weights_reshaped && !retain_internal_weights)
     {
         // Allocate the tensor for the weights reshaped
         _reshape_weights_output.allocator()->allocate();
     }
+
+    ARM_COMPUTE_ERROR_ON(retain_internal_weights && _reshape_weights_output.gc_buffer() == 0);
+    _are_weights_reshaped = _are_weights_reshaped || retain_internal_weights;
 }
 
 void GCFullyConnectedLayer::run()
@@ -158,6 +162,7 @@ void GCFullyConnectedLayer::run()
     }
 
     _memory_group.acquire();
+
     // Linearize input if it comes from a convolutional layer
     if(_is_fc_after_conv)
     {
@@ -179,5 +184,6 @@ void GCFullyConnectedLayer::run()
 
         GCScheduler::get().dispatch(_accumulate_biases_kernel);
     }
+
     _memory_group.release();
 }