Fix divide-by-zero compilation error

* CONVERT_TO_TENSOR4D_STRUCT_NO_STEP is implemented and used
  in some CL kernels in the way that causes divide-by-zero issue.
  - Since the steps are all zeros, the issue might have been
    ignored by the compiler.

Resolves: COMPMID-6795
Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com>
Change-Id: I0fb38fc62d63671b8abefa39b3d9b3ca6f49c7fe
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10967
Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Benchmark: Arm Jenkins <bsgcomp@arm.com>
diff --git a/src/core/CL/cl_kernels/common/gather.cl b/src/core/CL/cl_kernels/common/gather.cl
index 5d180f3..e16f4bf 100644
--- a/src/core/CL/cl_kernels/common/gather.cl
+++ b/src/core/CL/cl_kernels/common/gather.cl
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2021, 2023 Arm Limited.
+ * Copyright (c) 2018-2021, 2023-2024 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -29,7 +29,6 @@
  * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=short
  * @note Axis should be given as a preprocessor argument using -DAXIS=axis. e.g. -DAXIS=1
  * @attention Output tensor depth should be given as a preprocessor argument using -DOUTPUT_DIM_Z=size. e.g. -DOUTPUT_DIM_Z=16
- * @attention Input tensor depth should be given as a preprocessor argument using -DINPUT_DIM_Z=size. e.g. -DINPUT_DIM_Z=16
  *
  *
  * @param[in]  input_ptr                             Pointer to the source tensor. Supported data types: All
@@ -67,8 +66,8 @@
     const int pz = get_global_id(2) % OUTPUT_DIM_Z;
     const int pw = (get_global_id(2) / OUTPUT_DIM_Z );
 
-    const Tensor4D input   = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(input, INPUT_DIM_Z);
-    const Tensor4D indices = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(indices, INDICES_DIM_Z);
+    const Tensor4D input   = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(input);
+    const Tensor4D indices = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(indices);
     Tensor4D       output  = CONVERT_TO_TENSOR4D_STRUCT(output, OUTPUT_DIM_Z);
 
 #if AXIS == 0
@@ -128,4 +127,4 @@
     *(__global DATA_TYPE *)output.ptr = select((DATA_TYPE)0, *((__global const DATA_TYPE *)input_addr), (DATA_TYPE)(index < INDEX_LIMIT));
 }
 
-#endif //defined(DATA_TYPE) && defined(AXIS)
\ No newline at end of file
+#endif //defined(DATA_TYPE) && defined(AXIS)