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Diffstat (limited to 'src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateReshape.cpp')
-rw-r--r--src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateReshape.cpp161
1 files changed, 0 insertions, 161 deletions
diff --git a/src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateReshape.cpp b/src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateReshape.cpp
deleted file mode 100644
index c882353fcb..0000000000
--- a/src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateReshape.cpp
+++ /dev/null
@@ -1,161 +0,0 @@
-/*
- * Copyright (c) 2023 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 "ClTemplateReshape.h"
-
-#include "arm_compute/core/utils/helpers/AdjustVecSize.h"
-#include "arm_compute/core/utils/StringUtils.h"
-
-#include "src/core/helpers/WindowHelpers.h"
-#include "src/dynamic_fusion/sketch/gpu/GpuKernelComponentGroup.h"
-
-namespace arm_compute
-{
-namespace experimental
-{
-namespace dynamic_fusion
-{
-constexpr unsigned int vector_size_byte_opencl = 16;
-
-ClTemplateReshape::ClTemplateReshape(ComponentId id, const ArgumentPack<ITensorInfo> &tensors)
- : IGpuTemplateComponentWriter{id, tensors}, _src{}, _dst{}
-{
- _src = this->tensors().get_const_tensor(TensorType::ACL_SRC_0);
- _dst = this->tensors().get_const_tensor(TensorType::ACL_DST_0);
- ARM_COMPUTE_ERROR_ON_NULLPTR(_src, _dst);
-}
-
-std::string ClTemplateReshape::get_name() const
-{
- return "reshape";
-}
-
-std::string ClTemplateReshape::get_component_code(const ComponentGroup &comp_group) const
-{
- ARM_COMPUTE_UNUSED(comp_group);
- std::string code;
-
- code = R"_(
-//------------------ START KERNEL {{meta_kernel_id}} ---------------------
-
-// IN(src) {{src}}
-// OUT(dst, accum) {{dst}}
-
-TILE(uint, M0, 1, g_dst_indirect_y);
-{
- __global uchar * base_src_ptr = {{src}}_ptr + {{src}}_offset_first_element_in_bytes;
- const int tile_vertical_idx = g_ind_1 * {{arg_dst}}_c + g_ind_2 * {{arg_dst}}_c * {{arg_dst}}_w;
- LOOP_UNROLLING(int, _m0, 0, 1, M0,
- {
- const int row_idx = _m0 * {{arg_dst}}_c + tile_vertical_idx;
- const int tile_horizontal_idx = g_ind_0 + row_idx;
- LOOP_UNROLLING(int, _n0, 0, 1, N0,
- {
- {{src}}_ptr = base_src_ptr;
- const int linear_idx = tile_horizontal_idx + _n0;
- const int in_id_x = linear_idx % {{src}}_c;
- const int in_id_y = (linear_idx / {{src}}_c) % {{src}}_w;
- const int in_id_z = linear_idx / ({{src}}_c * {{src}}_w);
- {{src}}_ptr += in_id_x * sizeof({{DATA_TYPE}}) + in_id_y * {{src}}_stride_y + in_id_z * {{src}}_stride_z;
- {{dst}}[_m0].s[_n0] = *((__global {{DATA_TYPE}} *){{src}}_ptr);
- })
- })
-
- LOOP_UNROLLING(int, i, 0, 1, M0,
- {
- g_dst_indirect_y[i].v = (uint)min((int)(g_ind_1 + i), (int)({{arg_dst}}_w) - 1);
- g_dst_indirect_y[i].v += (int)(g_ind_2 % {{arg_dst}}_h) * (int)({{arg_dst}}_w);
- g_dst_indirect_y[i].v += (int)(g_ind_2 / {{arg_dst}}_h) * (int)({{arg_dst}}_w * {{arg_dst}}_h);
- })
-}
-//------------------ END KERNEL {{meta_kernel_id}} ---------------------
-)_";
- return code;
-}
-
-void ClTemplateReshape::declare_variables(GpuKernelVariableTable &vtable, const ComponentGroup &comp_group) const
-{
- vtable.declare_variable(comp_group, _src,
- GpuKernelArgumentInfo(common_tensor_type), // GpuKernelArgumentInfo::Type::Image_3D
- "src");
-
- vtable.declare_variable(comp_group, _dst, GpuKernelArgumentInfo(common_tensor_type), "dst");
-}
-
-TagLUT ClTemplateReshape::get_tag_lut(const GpuKernelVariableTable &vtable, const ComponentGroup &comp_group) const
-{
- ARM_COMPUTE_UNUSED(comp_group);
- TagLUT lut{};
-
- // Arguments and global shared variables
- lut["src"] = vtable.get_variable(_src);
- lut["dst"] = vtable.get_variable(_dst);
- lut["arg_dst"] = vtable.get_variable(comp_group.get_any_dst_tensor());
- lut["meta_kernel_id"] = id();
- lut["DATA_TYPE"] = get_cl_type_from_data_type(_dst->data_type());
-
- return lut;
-}
-
-CLBuildOptions ClTemplateReshape::get_build_options(const ComponentGroup &comp_group) const
-{
- CLBuildOptions build_opts{};
- const auto root_window = comp_group.get_root_component()->template_writer()->get_window();
- const unsigned int n0 = root_window.x().step();
- const unsigned int m0 = root_window.y().step();
- const unsigned int partial_store_n0 = _dst->dimension(0) % n0;
- build_opts.add_option("-DN0=" + support::cpp11::to_string(n0));
- build_opts.add_option("-DM0=" + support::cpp11::to_string(m0));
- build_opts.add_option("-DPARTIAL_N0=" + support::cpp11::to_string(partial_store_n0));
-
- return build_opts;
-}
-
-std::string ClTemplateReshape::get_config_id() const
-{
- std::string config_id{};
- config_id += lower_string(string_from_data_type(_dst->data_type()));
- config_id += "_";
- config_id += support::cpp11::to_string(_dst->dimension(0));
- config_id += "_";
- config_id += support::cpp11::to_string(_dst->dimension(1));
-
- return config_id;
-}
-
-std::set<std::string> ClTemplateReshape::get_headers_list() const
-{
- return std::set<std::string>{"helpers.h", "tile_helpers.h"};
-}
-
-Window ClTemplateReshape::get_window() const
-{
- ARM_COMPUTE_ERROR_ON_MSG(_dst->tensor_shape().total_size() == 0U, "Destination tensor is not initialized");
- const unsigned int n0 = adjust_vec_size(vector_size_byte_opencl / _dst->element_size(), _dst->dimension(0));
- Window win = calculate_max_window(*_dst, Steps(n0));
- return win.collapse(win, Window::DimZ);
-}
-
-} // namespace dynamic_fusion
-} // namespace experimental
-} // namespace arm_compute