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+/*
+ * Copyright (c) 2018-2021, 2023-2024 Arm Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include "helpers.h"
+#if defined(DATA_TYPE) && defined(SRC_WIDTH) && defined(SRC_HEIGHT) && defined(SRC_DEPTH) && defined(DST_DEPTH)
+/** Perform a floor operation on an input tensor.
+ *
+ * @attention Data type can be passed using the -DDATA_TYPE compile flag, e.g. -DDATA_TYPE=float
+ * @attention Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g. -DVEC_SIZE=16
+ * @note Can only take floating point data types.
+ *
+ * @param[in] input_ptr Pointer to the source image. Supported data types: All
+ * @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_offset_first_element_in_bytes The offset of the first element in the destination image
+ */
+__kernel void tile(
+ TENSOR4D_DECLARATION(input),
+ TENSOR4D_DECLARATION(output))
+{
+ Tensor4D output = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(output);
+ Tensor4D input = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(input);
+
+ // For all coordinates but x, each tile copies from the input
+ const int y = get_global_id(1);
+ const int z = get_global_id(2) % DST_DEPTH;
+ const int batch = get_global_id(2) / DST_DEPTH;
+
+#if defined(VEC_SIZE) && defined(OFFSET)
+ // If we are loading/storing multiple elements at time, we need to
+ // not exceed the input boundaries. The last threads need to backtrack
+ // of OFFSET elements. Those elements cumulates for previous tiles
+
+ const int id = (int)(get_global_id(0));
+ const int multiple_no = id / SRC_WIDTH_TILES;
+ const int tile_no = id % SRC_WIDTH_TILES;
+ const int last_tile = (int)(tile_no == SRC_WIDTH_TILES - 1);
+
+ const int x_input = tile_no * VEC_SIZE - last_tile * OFFSET;
+ const int x_output = multiple_no * SRC_WIDTH + x_input;
+
+ // Update the input and output pointers.
+ input.ptr = tensor4D_offset(&input, x_input, y % SRC_HEIGHT, z % SRC_DEPTH, batch % SRC_BATCHES);
+ output.ptr = tensor4D_offset(&output, x_output, y, z, batch);
+
+ // Copy the data
+ VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)
+ data = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input.ptr);
+
+ VSTORE(VEC_SIZE)
+ (data, 0, (__global DATA_TYPE *)output.ptr);
+#else // !defined(VEC_SIZE) || !defined(OFFSET)
+ const int x = get_global_id(0);
+
+ // Update the input and output pointers.
+ input.ptr = tensor4D_offset(&input, x % SRC_WIDTH, y % SRC_HEIGHT, z % SRC_DEPTH, batch % SRC_BATCHES);
+ output.ptr = tensor4D_offset(&output, x, y, z, batch);
+
+ *((__global DATA_TYPE *)(output.ptr)) = *((__global DATA_TYPE *)(input.ptr));
+#endif // defined(VEC_SIZE) && defined(OFFSET)
+}
+#endif // defined(DATA_TYPE) && defined(SRC_WIDTH) && defined(SRC_HEIGHT) && defined(SRC_DEPTH) && defined(DST_DEPTH)