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Diffstat (limited to 'libs/ARMComputeEx/src/core/CL/cl_kernels/strided_slice.cl')
| -rw-r--r-- | libs/ARMComputeEx/src/core/CL/cl_kernels/strided_slice.cl | 104 |
1 files changed, 0 insertions, 104 deletions
diff --git a/libs/ARMComputeEx/src/core/CL/cl_kernels/strided_slice.cl b/libs/ARMComputeEx/src/core/CL/cl_kernels/strided_slice.cl deleted file mode 100644 index c5ff82f9e..000000000 --- a/libs/ARMComputeEx/src/core/CL/cl_kernels/strided_slice.cl +++ /dev/null @@ -1,104 +0,0 @@ -/* - * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved - * Copyright (c) 2017 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" - - -inline Tensor4D tensor4D_from_vector_no_step(const Vector *vector, int dim_x, int dim_y, int dim_z, int dim_w) -{ - int stride_x = vector->stride_x; - int stride_y = stride_x * dim_x; - int stride_z = stride_y * dim_y; - int stride_w = stride_z * dim_z; - Tensor4D tensor = - { - .ptr = vector->ptr, - .offset_first_element_in_bytes = vector->offset_first_element_in_bytes, - .stride_x = stride_x, - .stride_y = stride_y, - .stride_z = stride_z, - .stride_w = stride_w, - }; - return tensor; -} - -/** Extracts a strided slice up to 4-dimensions - * - * @note Datatype should be given as a preprocessor argument using -DELEMENT_DATA_TYPE=type. e.g. -DELEMENT_DATA_TYPE=short - * @note The size of an element should be given as a preprocessor argument using -DELEMENT_SIZE=size. e.g. -DELEMENT_SIZE=2 - * - * @param[in] input_ptr Pointer to the first source tensor. Supported data types: U8/S8/QS8/QASYMM8/U16/S16/QS16/U32/S32/F16/F32 - * @param[in] input_stride_x Stride of the first 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_offset_first_element_in_bytes The offset of the first element in the first source tensor - * @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_offset_first_element_in_bytes The offset of the first element in the destination tensor - * @param[in] dims_in The 4-dimensional dimension of the input. Supported data types: S32 - * @param[in] dims_out The 4-dimensional dimension of the output. Supported data types: S32 - * @param[in] starts The stride of X dimension of input tensor to be sliced. Supported data types: S32 - * @param[in] strides The stride of Y dimension of input tensor to be sliced. Supported data types: S32 - */ -__kernel void strided_slice(VECTOR_DECLARATION(input), - VECTOR_DECLARATION(output), - const int4 dims_in, - const int4 dims_out, - const int4 starts, - const int4 strides) -{ - // TODO: Should be change to CONVERT_TO_TENSOR4D_STRUCT in order to reduce inference of the offset - Vector vec_out = CONVERT_TO_VECTOR_STRUCT_NO_STEP(output); - Vector vec_in = CONVERT_TO_VECTOR_STRUCT_NO_STEP(input); - - // Implemenation - // Infer a Tensor4D from output Vector and output's dimensions info - // Infer a Tensor4D from input Vector and input's dimensions info - // Infer indices of output as 4D from the offset of output vector - // Infer indices of input as 4D from indices of output - // out(offset of output vector) = in(offset of input) - - Tensor4D tensor_out = tensor4D_from_vector_no_step(&vec_out, dims_out.x, dims_out.y, dims_out.z, dims_out.w); - Tensor4D tensor_in = tensor4D_from_vector_no_step(&vec_in, dims_in.x, dims_in.y, dims_in.z, dims_in.w); - - // Must be output_step_x == output_stride_x == an element's size - const int offset_out = get_global_id(0) * output_stride_x; - int4 indices_out = - { - get_global_id(0) % dims_out.x, - (offset_out / tensor_out.stride_y) % dims_out.y, - (offset_out / tensor_out.stride_z) % dims_out.z, - (offset_out / tensor_out.stride_w) % dims_out.w, - }; - - int4 indices_in = - { - starts.x + (strides.x * indices_out.x), - starts.y + (strides.y * indices_out.y), - starts.z + (strides.z * indices_out.z), - starts.w + (strides.w * indices_out.w), - }; - - *((__global ELEMENT_DATA_TYPE *)vector_offset(&vec_out, get_global_id(0))) = *((__global ELEMENT_DATA_TYPE *)tensor4D_offset(&tensor_in, indices_in.x, indices_in.y, indices_in.z, indices_in.w)); -} |