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Diffstat (limited to 'arm_compute/runtime/NEON/functions/NELSTMLayerQuantized.h')
-rw-r--r--arm_compute/runtime/NEON/functions/NELSTMLayerQuantized.h45
1 files changed, 33 insertions, 12 deletions
diff --git a/arm_compute/runtime/NEON/functions/NELSTMLayerQuantized.h b/arm_compute/runtime/NEON/functions/NELSTMLayerQuantized.h
index bcb89d997d..ae951669b3 100644
--- a/arm_compute/runtime/NEON/functions/NELSTMLayerQuantized.h
+++ b/arm_compute/runtime/NEON/functions/NELSTMLayerQuantized.h
@@ -25,6 +25,7 @@
#define ARM_COMPUTE_NELSTMLAYERQUANTIZED_H
#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/common/LSTMParams.h"
#include "arm_compute/runtime/NEON/functions/NEActivationLayer.h"
#include "arm_compute/runtime/NEON/functions/NEArithmeticAddition.h"
#include "arm_compute/runtime/NEON/functions/NEConcatenateLayer.h"
@@ -38,8 +39,6 @@
#include "arm_compute/runtime/NEON/functions/NESlice.h"
#include "arm_compute/runtime/NEON/functions/NETranspose.h"
-#include "arm_compute/runtime/common/LSTMParams.h"
-
namespace arm_compute
{
// Forward declarations
@@ -104,11 +103,22 @@ public:
* @param[out] output_state_out Destination tensor. Output is a 2D tensor with dimensions [output_size, batch_size].Data types supported: Same as @p input.
*/
void configure(const ITensor *input,
- const ITensor *input_to_input_weights, const ITensor *input_to_forget_weights, const ITensor *input_to_cell_weights, const ITensor *input_to_output_weights,
- const ITensor *recurrent_to_input_weights, const ITensor *recurrent_to_forget_weights, const ITensor *recurrent_to_cell_weights, const ITensor *recurrent_to_output_weights,
- const ITensor *input_gate_bias, const ITensor *forget_gate_bias, const ITensor *cell_bias, const ITensor *output_gate_bias,
- ITensor *cell_state_in, const ITensor *output_state_in,
- ITensor *cell_state_out, ITensor *output_state_out);
+ const ITensor *input_to_input_weights,
+ const ITensor *input_to_forget_weights,
+ const ITensor *input_to_cell_weights,
+ const ITensor *input_to_output_weights,
+ const ITensor *recurrent_to_input_weights,
+ const ITensor *recurrent_to_forget_weights,
+ const ITensor *recurrent_to_cell_weights,
+ const ITensor *recurrent_to_output_weights,
+ const ITensor *input_gate_bias,
+ const ITensor *forget_gate_bias,
+ const ITensor *cell_bias,
+ const ITensor *output_gate_bias,
+ ITensor *cell_state_in,
+ const ITensor *output_state_in,
+ ITensor *cell_state_out,
+ ITensor *output_state_out);
/** Static function to check if given info will lead to a valid configuration of @ref NELSTMLayer
*
@@ -133,11 +143,22 @@ public:
* @return a status
*/
static Status validate(const ITensorInfo *input,
- const ITensorInfo *input_to_input_weights, const ITensorInfo *input_to_forget_weights, const ITensorInfo *input_to_cell_weights, const ITensorInfo *input_to_output_weights,
- const ITensorInfo *recurrent_to_input_weights, const ITensorInfo *recurrent_to_forget_weights, const ITensorInfo *recurrent_to_cell_weights, const ITensorInfo *recurrent_to_output_weights,
- const ITensorInfo *input_gate_bias, const ITensorInfo *forget_gate_bias, const ITensorInfo *cell_bias, const ITensorInfo *output_gate_bias,
- const ITensorInfo *cell_state_in, const ITensorInfo *output_state_in,
- const ITensorInfo *cell_state_out, const ITensorInfo *output_state_out);
+ const ITensorInfo *input_to_input_weights,
+ const ITensorInfo *input_to_forget_weights,
+ const ITensorInfo *input_to_cell_weights,
+ const ITensorInfo *input_to_output_weights,
+ const ITensorInfo *recurrent_to_input_weights,
+ const ITensorInfo *recurrent_to_forget_weights,
+ const ITensorInfo *recurrent_to_cell_weights,
+ const ITensorInfo *recurrent_to_output_weights,
+ const ITensorInfo *input_gate_bias,
+ const ITensorInfo *forget_gate_bias,
+ const ITensorInfo *cell_bias,
+ const ITensorInfo *output_gate_bias,
+ const ITensorInfo *cell_state_in,
+ const ITensorInfo *output_state_in,
+ const ITensorInfo *cell_state_out,
+ const ITensorInfo *output_state_out);
// Inherited methods overridden:
void run() override;