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diff --git a/runtimes/libs/ARMComputeEx/src/runtime/NEON/functions/NEFullyConnectedReshapingLayer.cpp b/runtimes/libs/ARMComputeEx/src/runtime/NEON/functions/NEFullyConnectedReshapingLayer.cpp
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+++ b/runtimes/libs/ARMComputeEx/src/runtime/NEON/functions/NEFullyConnectedReshapingLayer.cpp
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+/*
+ * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "arm_compute/runtime/NEON/functions/NEFullyConnectedReshapingLayer.h"
+
+using namespace arm_compute;
+
+void NEFullyConnectedReshapingLayer::configure(const arm_compute::ITensor *input,
+ const arm_compute::ITensor *weights,
+ const arm_compute::ITensor *biases,
+ arm_compute::ITensor *output, bool needs_reshape,
+ const arm_compute::TensorShape &reshape)
+{
+ _input = input;
+ _weights = weights;
+ _biases = biases;
+ _output = output;
+ _needs_reshape = needs_reshape;
+
+ if (_needs_reshape)
+ {
+ // reshape
+ auto_init_if_empty(*_neon_buffer.info(), _input->info()->clone()->set_tensor_shape(reshape));
+ _neon_reshape.configure(_input, &_neon_buffer);
+
+ _neon_fc.configure(&_neon_buffer, _weights, _biases, _output);
+
+ // NOTE _neon_buffer is inaccessible from outside, and thus it is safe to invoke allocate here.
+ _neon_buffer.allocator()->allocate();
+ }
+ else
+ {
+ _neon_fc.configure(_input, _weights, _biases, _output);
+ }
+}
+
+void NEFullyConnectedReshapingLayer::run(void)
+{
+ if (_needs_reshape)
+ _neon_reshape.run();
+
+ _neon_fc.run();
+}