Remove CKW prototype and Template Writer

Gpu code in dynamic fusion is now written by stable CKW. We do not need CKW protoype and the older writer implementation, i.e. TemplateWriter.

It also removes the need for the flag -DACL_INTERNAL_TEST_CKW_IN_DF to compile and test dynamic fusion operator.

Resolves: COMPMID-6715

Signed-off-by: Gunes Bayir <gunes.bayir@arm.com>
Change-Id: I9f9453311e79d9be612bd4754240d832f98503e8
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/11116
Benchmark: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Jakub Sujak <jakub.sujak@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 0 insertions, 212 deletions

diff --git a/src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateCast.cpp b/src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateCast.cpp
deleted file mode 100644
index 0da3a73801..0000000000
--- a/src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateCast.cpp
+++ /dev/null
@@ -1,212 +0,0 @@
-/*
- * Copyright (c) 2022-2023 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 "ClTemplateCast.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
-{
-ClTemplateCast::ClTemplateCast(ComponentId id, const ArgumentPack<ITensorInfo> &tensors, const Attributes &attributes)
-    : IGpuTemplateComponentWriter{id, tensors}, _src{}, _dst{}, _attributes{attributes}
-{
-    _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 ClTemplateCast::get_name() const
-{
-    const size_t src_size = data_size_from_type(_src->data_type());
-    const size_t dst_size = data_size_from_type(_dst->data_type());
-
-    return (src_size >= dst_size) ? "cast_down" : "cast_up";
-}
-
-std::string ClTemplateCast::get_component_code(const ComponentGroup &comp_group) const
-{
-    ARM_COMPUTE_UNUSED(comp_group);
-
-    const std::string kernel_name = get_name();
-    const auto        is_root     = (comp_group.get_root_component()->id() == this->id());
-
-    std::string code = R"_(
-//------------------ START KERNEL {{meta_kernel_id}} CAST ---------------------
-)_";
-
-    if (is_root)
-    {
-        code += R"_(
-// IN_0(src)            {{src}}
-// OUT(dst, accum)      {{dst}}
-
-TILE(uint, M0, 1, g_dst_indirect_y);
-{
-    {{src}}_offset_first_element_in_bytes += get_global_id(2) * {{src}}_stride_z;
-
-    TILE({{DATA_TYPE_IN}}, M0, N0, {{tmp}});
-    T_LOAD({{DATA_TYPE_IN}}, M0, N0, BUFFER, {{src}}, g_ind_0, g_ind_1, 1, {{src}}_stride_y, {{tmp}});
-)_";
-    }
-
-    code += R"_(
-    LOOP_UNROLLING(int, m0, 0, 1, M0,
-    {
-)_";
-
-    if (kernel_name == "cast_down" && is_data_type_quantized(_src->data_type()))
-    {
-        code += R"_(
-    {{tmp}}[m0].v ^= (VEC_DATA_TYPE({{DATA_TYPE_IN}}, N0))0x80;
-)_";
-    }
-
-    if (kernel_name == "cast_down" &&
-        (is_data_type_float(_src->data_type()) || _attributes.convert_policy() == ConvertPolicy::SATURATE))
-    {
-        code += R"_(
-    {{dst}}[m0].v = CONVERT_SAT({{tmp}}[m0].v, VEC_DATA_TYPE({{DATA_TYPE_OUT}}, N0));
-)_";
-    }
-    else
-    {
-        code += R"_(
-    {{dst}}[m0].v = CONVERT({{tmp}}[m0].v, VEC_DATA_TYPE({{DATA_TYPE_OUT}}, N0));
-)_";
-    }
-
-    code += R"_(
-    })
-)_";
-
-    if (is_root)
-    {
-        code += R"_(
-    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);
-    })
-}
-)_";
-    }
-
-    code += R"_(
-//------------------ END KERNEL {{meta_kernel_id}} CAST ---------------------
-)_";
-
-    return code;
-}
-
-void ClTemplateCast::declare_variables(GpuKernelVariableTable &vtable, const ComponentGroup &comp_group) const
-{
-    vtable.declare_variable(comp_group, _src, GpuKernelArgumentInfo(GpuKernelArgumentInfo::Type::Tensor_4D_t_Buffer),
-                            "src");
-
-    vtable.declare_variable(comp_group, _dst, GpuKernelArgumentInfo(GpuKernelArgumentInfo::Type::Tensor_4D_t_Buffer),
-                            "dst");
-}
-
-TagLUT ClTemplateCast::get_tag_lut(const GpuKernelVariableTable &vtable, const ComponentGroup &comp_group) const
-{
-    const auto is_root = (comp_group.get_root_component()->id() == this->id());
-
-    TagLUT lut{};
-
-    // Arguments and global shared variables
-    lut["src"] = vtable.get_variable(_src);
-    lut["dst"] = vtable.get_variable(_dst);
-    lut["tmp"] = (is_root) ? lut["src"].value + "_in_data" : lut["src"];
-
-    const auto dst_argument = vtable.get_variable(comp_group.get_any_dst_tensor());
-    lut["arg_dst"]          = dst_argument.uniq_name;
-
-    // Local build options
-    lut["meta_kernel_id"] = id();
-
-    lut["DATA_TYPE_IN"]  = get_cl_type_from_data_type(_src->data_type());
-    lut["DATA_TYPE_OUT"] = get_cl_type_from_data_type(_dst->data_type());
-
-    return lut;
-}
-
-CLBuildOptions ClTemplateCast::get_build_options(const ComponentGroup &comp_group) const
-{
-    ARM_COMPUTE_UNUSED(comp_group);
-
-    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();
-
-    // Set build options
-    CLBuildOptions build_opts{};
-    build_opts.add_option("-DN0=" + support::cpp11::to_string(n0));
-    build_opts.add_option("-DPARTIAL_N0=" + support::cpp11::to_string(_src->dimension(0) % n0));
-    build_opts.add_option("-DM0=" + support::cpp11::to_string(m0));
-
-    return build_opts;
-}
-
-std::string ClTemplateCast::get_config_id() const
-{
-    std::string config_id{};
-
-    config_id += "_";
-    config_id += lower_string(string_from_data_type(_src->data_type()));
-    config_id += "_";
-    config_id += lower_string(string_from_data_type(_dst->data_type()));
-    config_id += "_";
-    config_id += support::cpp11::to_string(_src->dimension(0));
-    config_id += "_";
-    config_id += support::cpp11::to_string(_src->dimension(1));
-
-    return config_id;
-}
-
-std::set<std::string> ClTemplateCast::get_headers_list() const
-{
-    return std::set<std::string>{"helpers.h", "tile_helpers.h"};
-}
-
-Window ClTemplateCast::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(16 / _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