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diff --git a/runtimes/libs/ARMComputeEx/src/core/CL/cl_kernels/depth_to_space.cl b/runtimes/libs/ARMComputeEx/src/core/CL/cl_kernels/depth_to_space.cl
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+/*
+ * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
+ * Copyright (c) 2016, 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"
+
+#if defined(DATA_TYPE) && defined(DEPTH_OUT) && defined(BLOCK_SIZE) && defined(Z_OUT)
+/** Perform space to depth rearrangement of tensor
+ *
+ * @attention Data type can be passed using the -DDATA_TYPE compile flag, e.g. -DDATA_TYPE=float
+ * @attention Input tensor depth should be given as a preprocessor argument using -DDEPTH_OUT=size.
+ * e.g. -DDEPTH_OUT=16
+ * @attention The value of the z-axis of output tensor should be given as a preprocessor argument
+ * using -DZ_OUT=size. e.g. -DZ_OUT=16
+ * @attention block size should be given as a preprocessor argument using -DBLOCK_SIZE=size. e.g.
+ * -DBLOCK_SIZE=1
+ *
+ * @param[in] input_ptr Pointer to the source image. Supported data
+ * types: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * @param[in] input_stride_x Stride of the source image 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 image 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
+ * image
+ * @param[out] output_ptr Pointer to the destination image. Supported data
+ * types: same as @p input_ptr
+ * @param[in] output_stride_x Stride of the destination image 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 image 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 image
+ */
+__kernel void depth_to_space_nchw(TENSOR4D_DECLARATION(input), TENSOR4D_DECLARATION(output))
+{
+ Tensor4D in = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(input, 0);
+ Tensor4D out = CONVERT_TO_TENSOR4D_STRUCT(output, Z_OUT);
+
+ int out_index[4] = {0};
+ int in_index[4] = {0};
+
+ out_index[0] = get_global_id(0); // W
+ out_index[1] = get_global_id(1); // H
+ out_index[2] = get_global_id(2) % Z_OUT; // C
+ out_index[3] = get_global_id(2) / Z_OUT; // B
+
+ in_index[0] = out_index[0] / BLOCK_SIZE;
+ in_index[1] = out_index[1] / BLOCK_SIZE;
+ in_index[2] = out_index[2] +
+ ((out_index[1] % BLOCK_SIZE) * BLOCK_SIZE + out_index[0] % BLOCK_SIZE) * DEPTH_OUT;
+ in_index[3] = out_index[3];
+
+ *((__global DATA_TYPE *)out.ptr) = *((__global DATA_TYPE *)tensor4D_offset(
+ &in, in_index[0], in_index[1], in_index[2], in_index[3]));
+}
+#endif // defined(DATA_TYPE) && defined(DEPTH_OUT) && defined(BLOCK_SIZE) && defined(Z_OUT)
+
+#if defined(DATA_TYPE) && defined(DEPTH_OUT) && defined(BLOCK_SIZE) && defined(Z_OUT)
+/** Perform space to depth rearrangement of tensor (NHWC)
+ *
+ * @attention Data type can be passed using the -DDATA_TYPE compile flag, e.g. -DDATA_TYPE=float
+ * @attention Output tensor depth should be given as a preprocessor argument using -DDEPTH_OUT=size.
+ * e.g. -DDEPTH_OUT=16
+ * @attention The value of the z-axis of output tensor should be given as a preprocessor argument
+ * using -DZ_OUT=size. e.g. -DZ_OUT=16
+ * @attention block size should be given as a preprocessor argument using -DBLOCK_SIZE=size. e.g.
+ * -DBLOCK_SIZE=1
+ *
+ * @param[in] input_ptr Pointer to the source image. Supported data
+ * types: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * @param[in] input_stride_x Stride of the source image 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 image 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
+ * image
+ * @param[out] output_ptr Pointer to the destination image. Supported data
+ * types: same as @p input_ptr
+ * @param[in] output_stride_x Stride of the destination image 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 image 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 image
+ */
+__kernel void depth_to_space_nhwc(TENSOR4D_DECLARATION(input), TENSOR4D_DECLARATION(output))
+{
+ Tensor4D in = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(input, 0);
+ Tensor4D out = CONVERT_TO_TENSOR4D_STRUCT(output, Z_OUT);
+
+ int out_index[4] = {0};
+ int in_index[4] = {0};
+
+ out_index[0] = get_global_id(0); // C
+ out_index[1] = get_global_id(1); // W
+ out_index[2] = get_global_id(2) % Z_OUT; // H
+ out_index[3] = get_global_id(2) / Z_OUT; // B
+
+ in_index[0] = out_index[0] +
+ ((out_index[2] % BLOCK_SIZE) * BLOCK_SIZE + out_index[1] % BLOCK_SIZE) * DEPTH_OUT;
+ in_index[1] = out_index[1] / BLOCK_SIZE;
+ in_index[2] = out_index[2] / BLOCK_SIZE;
+ in_index[3] = out_index[3];
+
+ *((__global DATA_TYPE *)out.ptr) = *((__global DATA_TYPE *)tensor4D_offset(
+ &in, in_index[0], in_index[1], in_index[2], in_index[3]));
+}
+#endif // defined(DATA_TYPE) && defined(DEPTH_OUT) && defined(BLOCK_SIZE) && defined(Z_OUT)