diff --git a/src/cpu/operators/CpuFullyConnected.h b/src/cpu/operators/CpuFullyConnected.h
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+/*
+ * Copyright (c) 2021 Arm Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#ifndef ARM_COMPUTE_CPU_FULLY_CONNECTED_H
+#define ARM_COMPUTE_CPU_FULLY_CONNECTED_H
+
+#include "src/cpu/ICpuOperator.h"
+
+#include "arm_compute/core/TensorInfo.h"
+
+#include <memory>
+
+namespace arm_compute
+{
+namespace cpu
+{
+// Forward declarations
+class CpuConvertFullyConnectedWeights;
+class CpuFlatten;
+class CpuGemm;
+class CpuGemmLowpMatrixMultiplyCore;
+namespace kernels
+{
+class CpuTransposeKernel;
+} // namespace kernels
+/** Basic function to compute a Fully Connected layer. This function calls the following kernels:
+ *  -# @ref kernels::CpuIm2ColKernel (called when the input comes from a convolutional layer)
+ *  -# @ref kernels::CpuTransposeKernel (if @p are_weights_reshaped is set to false and transpose_weights is set to true ) (called once)
+ *  -# @ref CpuGemm or @ref CpuGemmLowpMatrixMultiplyCore (if quantized asymmetric)
+ *  -# @ref kernels::CpuGemmMatrixAdditionKernel or @ref CpuGemmLowpOutputStage (if quantized asymmetric) (if @p biases is not equal to nullptr)
+ *
+ * @note  The fully connected layer accepts "weights" tensors only with 2 dimensions.
+ */
+class CpuFullyConnected : public ICpuOperator
+{
+public:
+    /** Constructor */
+    CpuFullyConnected();
+    /** Destructor */
+    ~CpuFullyConnected();
+    /** Set the input and output tensors.
+     *
+     * Valid data layouts:
+     * - NHWC
+     * - NCHW
+     *
+     * Valid data type configurations:
+     * |src0           |src1               |src2   |dst            |
+     * |:--------------|:------------------|:------|:--------------|
+     * |F16            |F16                |F16    |F16            |
+     * |F32            |F32                |F32    |F32            |
+     * |QASYMM8        |QASYMM8            |S32    |QASYMM8        |
+     * |QASYMM8_SIGNED |QASYMM8_SIGNED     |S32    |QASYMM8_SIGNED |
+     *
+     * @param[in]  src     Source tensor info. Data type supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
+     * @param[in]  weights Weights tensor info. The weights must be 2 dimensional.
+     *                     If this function is called after a Convolution Layer, the (transposed) weights will have as many rows as the product of the first 3 input's dimensions.
+     *                     If it is called after another FullyConnected Layer, the (transposed) weights will have as many rows as the input's first dimension.
+     *                     Data type supported: Same as @p src.
+     * @param[in]  biases  Bias tensor info. Can be nullptr. Data type supported: Same as @p weights, S32 if @p weights is QASYMM8/QASYMM8_SIGNED.
+     * @param[out] dst     Destination tensor info. Its shape should be equal to the output of a matrix multiplication between:
+     *                     - The output of im2col on the input and the (transposed) 2D weights, if the function is called after a Convolution Layer
+     *                     - The input tensor and the (transposed) 2D weights, if the function is called after another FullyConnected Layer.
+     *                     Data type supported: Same as @p src.
+     * @param[in]  fc_info (Optional) Fully connected layer additional info
+     */
+    void configure(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *biases, ITensorInfo *dst,
+                   FullyConnectedLayerInfo fc_info = FullyConnectedLayerInfo());
+    /** Static function to check if given info will lead to a valid configuration of @ref CpuFullyConnected
+     *
+     * Similar to @ref CpuFullyConnected
+     *
+     * @return a status
+     */
+    static Status validate(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *dst,
+                           FullyConnectedLayerInfo fc_info = FullyConnectedLayerInfo());
+
+    //Inherited methods override
+    void run(ITensorPack &tensors) override;
+    void prepare(ITensorPack &tensors) override;
+    experimental::MemoryRequirements workspace() const override;
+
+private:
+    void configure_fc_fc(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *biases, ITensorInfo *dst, const ActivationLayerInfo &act);
+    void configure_conv_fc(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *biases, ITensorInfo *dst, const ActivationLayerInfo &act);
+    void configure_mm(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *biases, ITensorInfo *dst, const ActivationLayerInfo &act);
+
+    enum AuxTensorIdx
+    {
+        AsmGemmWorkspace = 0,
+        Pretranspose,
+        GemmTemp1, // Both CpuGemm and CpuGemmLowpMatrixMultiplyCore
+        GemmTemp2, // Both CpuGemm and CpuGemmLowpMatrixMultiplyCore
+        GemmTemp3, // Both CpuGemm and CpuGemmLowpMatrixMultiplyCore
+        GemmTemp4, // CpuGemmLowpMatrixMultiplyCore only
+        GemmTemp5, // CpuGemmLowpMatrixMultiplyCore only
+        GemmTemp6, // CpuGemmLowpMatrixMultiplyCore only
+        GemmTemp7, // CpuGemmLowpMatrixMultiplyCore only
+        TransposedWeights,
+        ConvertedWeights,
+        FlattenedSrc,
+        Count
+    };
+
+    std::unique_ptr<CpuFlatten>                      _flatten;
+    std::unique_ptr<CpuConvertFullyConnectedWeights> _convert_weights;
+    std::unique_ptr<kernels::CpuTransposeKernel>     _transpose_weights;
+    std::unique_ptr<CpuGemm>                         _mm_gemm;
+    std::unique_ptr<CpuGemmLowpMatrixMultiplyCore>   _mm_gemmlowp;
+
+    TensorInfo   _flattened_src;
+    TensorInfo   _converted_weights;
+    TensorInfo   _reshaped_weights;
+    TensorInfo   _trans_weights;
+    AuxTensorIdx _trans_weights_idx;
+
+    experimental::MemoryRequirements _aux_mem;
+
+    bool _needs_weights_conversion;
+    bool _needs_weights_reshape;
+    bool _is_fc_after_conv;
+    bool _is_quantized_asymmetric;
+    bool _is_prepared;
+};
+} // namespace cpu
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_CPU_FULLY_CONNECTED_H */