Apply clang-format on repository

Code is formatted as per a revised clang format configuration
file(not part of this delivery). Version 14.0.6 is used.

Exclusion List:
- files with .cl extension
- files that are not strictly C/C++ (e.g. Android.bp, Sconscript ...)
And the following directories
- compute_kernel_writer/validation/
- tests/
- include/
- src/core/NEON/kernels/convolution/
- src/core/NEON/kernels/arm_gemm/
- src/core/NEON/kernels/arm_conv/
- data/

There will be a follow up for formatting of .cl files and the
files under tests/ and compute_kernel_writer/validation/.

Signed-off-by: Felix Thomasmathibalan <felixjohnny.thomasmathibalan@arm.com>
Change-Id: Ib7eb1fcf4e7537b9feaefcfc15098a804a3fde0a
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10391
Benchmark: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>

1 files changed, 50 insertions, 17 deletions

diff --git a/arm_compute/runtime/CL/functions/CLLSTMLayerQuantized.h b/arm_compute/runtime/CL/functions/CLLSTMLayerQuantized.h
index 9c004b85d0..8c116b1482 100644
--- a/arm_compute/runtime/CL/functions/CLLSTMLayerQuantized.h
+++ b/arm_compute/runtime/CL/functions/CLLSTMLayerQuantized.h
@@ -35,7 +35,6 @@
 #include "arm_compute/runtime/CL/functions/CLQuantizationLayer.h"
 #include "arm_compute/runtime/CL/functions/CLSlice.h"
 #include "arm_compute/runtime/CL/functions/CLTranspose.h"
-
 #include "arm_compute/runtime/common/LSTMParams.h"
 
 namespace arm_compute
@@ -100,11 +99,22 @@ 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 ICLTensor *input,
-                   const ICLTensor *input_to_input_weights, const ICLTensor *input_to_forget_weights, const ICLTensor *input_to_cell_weights, const ICLTensor *input_to_output_weights,
-                   const ICLTensor *recurrent_to_input_weights, const ICLTensor *recurrent_to_forget_weights, const ICLTensor *recurrent_to_cell_weights, const ICLTensor *recurrent_to_output_weights,
-                   const ICLTensor *input_gate_bias, const ICLTensor *forget_gate_bias, const ICLTensor *cell_bias, const ICLTensor *output_gate_bias,
-                   ICLTensor *cell_state_in, const ICLTensor *output_state_in,
-                   ICLTensor *cell_state_out, ICLTensor *output_state_out);
+                   const ICLTensor *input_to_input_weights,
+                   const ICLTensor *input_to_forget_weights,
+                   const ICLTensor *input_to_cell_weights,
+                   const ICLTensor *input_to_output_weights,
+                   const ICLTensor *recurrent_to_input_weights,
+                   const ICLTensor *recurrent_to_forget_weights,
+                   const ICLTensor *recurrent_to_cell_weights,
+                   const ICLTensor *recurrent_to_output_weights,
+                   const ICLTensor *input_gate_bias,
+                   const ICLTensor *forget_gate_bias,
+                   const ICLTensor *cell_bias,
+                   const ICLTensor *output_gate_bias,
+                   ICLTensor       *cell_state_in,
+                   const ICLTensor *output_state_in,
+                   ICLTensor       *cell_state_out,
+                   ICLTensor       *output_state_out);
     /** Initialize function's tensors.
      *
      * @param[in]  compile_context             The compile context to be used.
@@ -126,12 +136,24 @@ public:
      * @param[out] cell_state_out              Destination tensor. Output is a 2D tensor with dimensions [output_size, batch_size]. Data type supported:  QSYMM16.
      * @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 CLCompileContext &compile_context, const ICLTensor *input,
-                   const ICLTensor *input_to_input_weights, const ICLTensor *input_to_forget_weights, const ICLTensor *input_to_cell_weights, const ICLTensor *input_to_output_weights,
-                   const ICLTensor *recurrent_to_input_weights, const ICLTensor *recurrent_to_forget_weights, const ICLTensor *recurrent_to_cell_weights, const ICLTensor *recurrent_to_output_weights,
-                   const ICLTensor *input_gate_bias, const ICLTensor *forget_gate_bias, const ICLTensor *cell_bias, const ICLTensor *output_gate_bias,
-                   ICLTensor *cell_state_in, const ICLTensor *output_state_in,
-                   ICLTensor *cell_state_out, ICLTensor *output_state_out);
+    void configure(const CLCompileContext &compile_context,
+                   const ICLTensor        *input,
+                   const ICLTensor        *input_to_input_weights,
+                   const ICLTensor        *input_to_forget_weights,
+                   const ICLTensor        *input_to_cell_weights,
+                   const ICLTensor        *input_to_output_weights,
+                   const ICLTensor        *recurrent_to_input_weights,
+                   const ICLTensor        *recurrent_to_forget_weights,
+                   const ICLTensor        *recurrent_to_cell_weights,
+                   const ICLTensor        *recurrent_to_output_weights,
+                   const ICLTensor        *input_gate_bias,
+                   const ICLTensor        *forget_gate_bias,
+                   const ICLTensor        *cell_bias,
+                   const ICLTensor        *output_gate_bias,
+                   ICLTensor              *cell_state_in,
+                   const ICLTensor        *output_state_in,
+                   ICLTensor              *cell_state_out,
+                   ICLTensor              *output_state_out);
 
     /** Static function to check if given info will lead to a valid configuration of @ref CLLSTMLayerQuantized
      *
@@ -156,11 +178,22 @@ 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;