COMPMID-1060 LSTM FP32 NEON

Change-Id: I0bdf874e61917903c26f713ec41a7ffc29e07233
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/143892
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>

1 files changed, 1 insertions, 132 deletions

diff --git a/arm_compute/runtime/CL/functions/CLLSTMLayer.h b/arm_compute/runtime/CL/functions/CLLSTMLayer.h
index 6896a97e31..72e41a7aca 100644
--- a/arm_compute/runtime/CL/functions/CLLSTMLayer.h
+++ b/arm_compute/runtime/CL/functions/CLLSTMLayer.h
@@ -39,6 +39,7 @@
 #include "arm_compute/runtime/CL/functions/CLGEMM.h"
 #include "arm_compute/runtime/CL/functions/CLWidthConcatenateLayer.h"
 #include "arm_compute/runtime/IMemoryManager.h"
+#include "arm_compute/runtime/common/LSTMParams.h"
 
 #include <memory>
 
@@ -46,138 +47,6 @@ namespace arm_compute
 {
 class ICLTensor;
 
-template <typename T>
-class LSTMParams
-{
-public:
-    /** Constructor */
-    LSTMParams()
-        : _input_to_input_weights(nullptr), _recurrent_to_input_weights(nullptr), _cell_to_input_weights(nullptr), _input_gate_bias(nullptr), _cell_to_forget_weights(nullptr),
-          _cell_to_output_weights(nullptr), _projection_weights(nullptr), _projection_bias(nullptr), _has_peephole_opt(false), _has_projection(false), _has_cifg_opt(true)
-    {
-    }
-    /** Prevent instances of this class from being copied (As this class contains pointers) */
-    LSTMParams(const LSTMParams &) = delete;
-    /** Prevent instances of this class from being copied (As this class contains pointers) */
-    LSTMParams &operator=(const LSTMParams &) = delete;
-    /** Default destructor */
-    ~LSTMParams() = default;
-    /** Set CIFG tensor parameters.
-     *
-     * @param[in] input_to_input_weights     2D weights tensor with dimensions [input_size, num_units]. Data types supported: F16/F32.
-     * @param[in] recurrent_to_input_weights 2D weights tensor with dimensions [output_size, num_units]. Data type supported: Same as @p input_to_input_weights.
-     * @param[in] cell_to_input_weights      1D weights tensor with dimensions [num_units]. Can be nullptr. Data type supported: Same as @p input_to_input_weights.
-     * @param[in] input_gate_bias            1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input_to_input_weights
-     *
-     * @return Reference to this LSTMParams object
-     */
-    LSTMParams &set_cifg_params(const T *input_to_input_weights, const T *recurrent_to_input_weights, const T *cell_to_input_weights, const T *input_gate_bias)
-    {
-        _input_to_input_weights     = input_to_input_weights;
-        _recurrent_to_input_weights = recurrent_to_input_weights;
-        _cell_to_input_weights      = cell_to_input_weights;
-        _input_gate_bias            = input_gate_bias;
-        _has_cifg_opt               = false;
-        return *this;
-    }
-    /** Set projection tensor parameters.
-     *
-     * @param[in] projection_weights 2D weights tensor with dimensions [output_size, num_units]. Data type supported: Data types supported: F16/F32.
-     * @param[in] projection_bias    1D weights tensor with dimensions [output_size]. Data type supported: Same as @p projection_weights.
-     *
-     * @return Reference to this LSTMParams object
-     */
-    LSTMParams &set_projection_params(const T *projection_weights, const T *projection_bias)
-    {
-        _projection_weights = projection_weights;
-        _projection_bias    = projection_bias;
-        _has_projection     = true;
-        return *this;
-    }
-    /** Set peephole tensor parameters.
-     *
-     * @param[in] cell_to_forget_weights 1D weights tensor with dimensions [num_units]. Data type supported: Data types supported: F16/F32.
-     * @param[in] cell_to_output_weights 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p cell_to_input_weights.
-     *
-     * @return Reference to this LSTMParams object
-     */
-    LSTMParams &set_peephole_params(const T *cell_to_forget_weights, const T *cell_to_output_weights)
-    {
-        _cell_to_forget_weights = cell_to_forget_weights;
-        _cell_to_output_weights = cell_to_output_weights;
-        _has_peephole_opt       = true;
-        return *this;
-    }
-
-    const T *input_to_input_weights() const
-    {
-        return _input_to_input_weights;
-    }
-
-    const T *recurrent_to_input_weights() const
-    {
-        return _recurrent_to_input_weights;
-    }
-
-    const T *cell_to_input_weights() const
-    {
-        return _cell_to_input_weights;
-    }
-
-    const T *input_gate_bias() const
-    {
-        return _input_gate_bias;
-    }
-
-    const T *cell_to_forget_weights() const
-    {
-        return _cell_to_forget_weights;
-    }
-
-    const T *cell_to_output_weights() const
-    {
-        return _cell_to_output_weights;
-    }
-
-    const T *projection_weights() const
-    {
-        return _projection_weights;
-    }
-
-    const T *projection_bias() const
-    {
-        return _projection_bias;
-    }
-
-    bool has_peephole_opt() const
-    {
-        return _has_peephole_opt;
-    }
-
-    bool has_projection() const
-    {
-        return _has_projection;
-    }
-
-    bool has_cifg_opt() const
-    {
-        return _has_cifg_opt;
-    }
-
-private:
-    const T *_input_to_input_weights;
-    const T *_recurrent_to_input_weights;
-    const T *_cell_to_input_weights;
-    const T *_input_gate_bias;
-    const T *_cell_to_forget_weights;
-    const T *_cell_to_output_weights;
-    const T *_projection_weights;
-    const T *_projection_bias;
-    bool     _has_peephole_opt;
-    bool     _has_projection;
-    bool     _has_cifg_opt;
-};
-
 /** This function performs a single time step in a Long Short-Term Memory (LSTM) layer.
  *
  */