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diff --git a/libs/ARMComputeEx/src/core/CL/cl_kernels/embedding_lookup.cl b/libs/ARMComputeEx/src/core/CL/cl_kernels/embedding_lookup.cl
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index 348458fe9..000000000
--- a/libs/ARMComputeEx/src/core/CL/cl_kernels/embedding_lookup.cl
+++ /dev/null
@@ -1,84 +0,0 @@
-/*
- * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
- * Copyright (c) 2017 ARM Limited.
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-#include "helpers.h"
-
-#ifndef VEC_SIZE
-#define VEC_SIZE 1
-#endif
-
-#if defined(DATA_TYPE) && defined(DEPTH_OUT) && defined(NUM_DIMS)
-/** Perform embedding_lookup of input tensor
- *
- * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=short
- * @attention Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g. -DVEC_SIZE=16
- * @attention Output tensor depth should be given as a preprocessor argument using -DDEPTH_OUT=depth. e.g. -DDEPTH_OUT=16
- * @attention Number of input dimensions are passed as a preprocessor argument using -DNUM_DIMS=size, e.g. -DNUM_DIMS=4
- *
- * @param[in] input_ptr Pointer to the source tensor. Supported data types: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
- * @param[in] input_stride_x Stride of the source tensor in X dimension (in bytes)
- * @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes)
- * @param[in] input_stride_y Stride of the source tensor in Y dimension (in bytes)
- * @param[in] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes)
- * @param[in] input_stride_z Stride of the source tensor in Z dimension (in bytes)
- * @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes)
- * @param[in] input_offset_first_element_in_bytes The offset of the first element in the source tensor
- * @param[in] input_stride_w Stride of the source tensor in W dimension (in bytes)
- * @param[in] input_step_w output_stride_w * number of elements along W processed per workitem(in bytes)
- * @param[out] output_ptr Pointer to the destination tensor. Supported data types: same as @p input_ptr
- * @param[in] output_stride_x Stride of the destination tensor in X dimension (in bytes)
- * @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes)
- * @param[in] output_stride_y Stride of the destination tensor in Y dimension (in bytes)
- * @param[in] output_step_y output_stride_y * number of elements along Y processed per workitem(in bytes)
- * @param[in] output_stride_z Stride of the source tensor in Z dimension (in bytes)
- * @param[in] output_step_z output_stride_z * number of elements along Z processed per workitem(in bytes)
- * @param[in] output_stride_w Stride of the source tensor in W dimension (in bytes)
- * @param[in] output_step_w output_stride_w * number of elements along W processed per workitem(in bytes)
- * @param[in] output_offset_first_element_in_bytes The offset of the first element in the destination tensor
- * @param[in] lookups_ptr Pointer to the lookups vector. Supported data types: S32
- * @param[in] lookups_stride_x Stride of the lookups vector in X dimension (in bytes)
- * @param[in] lookups_step_x lookups_stride_x * number of elements along X processed per workitem(in bytes)
- * @param[in] lookups_offset_first_element_in_bytes The offset of the first element in the lookups vector
- */
-
-__kernel void embedding_lookup(TENSOR4D_DECLARATION(input),
- TENSOR4D_DECLARATION(output),
- VECTOR_DECLARATION(lookups))
-{
- Tensor4D out = CONVERT_TO_TENSOR4D_STRUCT(output, DEPTH_OUT);
- Tensor4D in = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(input, DEPTH_OUT);
-
- Vector lups = CONVERT_TO_VECTOR_STRUCT_NO_STEP(lookups);
-
- //lookup ids for based on the tensor dimensions
- int lup_id[4] = {0};
-
- lup_id[0] = (NUM_DIMS == 1)?*((__global int *)vector_offset(&lups,get_global_id(0)))
- :get_global_id(0);
- lup_id[1] = (NUM_DIMS == 2)?*((__global int *)vector_offset(&lups,get_global_id(1)))
- :get_global_id(1);
- lup_id[2] = (NUM_DIMS == 3)?*((__global int *)vector_offset(&lups,get_global_id(2)))
- :get_global_id(2)%DEPTH_OUT;
- lup_id[3] = (NUM_DIMS == 4)?*((__global int *)vector_offset(&lups, get_global_id(2) / DEPTH_OUT))
- :get_global_id(2) / DEPTH_OUT;
-
- in.ptr += input_offset_first_element_in_bytes + lup_id[0] * input_step_x + lup_id[1] * input_step_y
- + lup_id[2] * input_step_z + lup_id[3] * input_step_w;
-
- VSTORE(VEC_SIZE)(CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)in.ptr), VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)),
- 0, (__global DATA_TYPE *)out.ptr);
-}
-#endif // defined(DATA_TYPE) && defined(DEPTH_OUT) && defined(NUM_DIMS)