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, 274 deletions

diff --git a/src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateElementwiseBinary.cpp b/src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateElementwiseBinary.cpp
deleted file mode 100644
index 78bff3c3f3..0000000000
--- a/src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateElementwiseBinary.cpp
+++ /dev/null
@@ -1,274 +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 "ClTemplateElementwiseBinary.h"
-
-#include "arm_compute/core/utils/helpers/AdjustVecSize.h"
-#include "arm_compute/core/utils/misc/ShapeCalculator.h"
-#include "arm_compute/core/utils/StringUtils.h"
-
-#include "src/core/helpers/WindowHelpers.h"
-#include "src/dynamic_fusion/sketch/gpu/components/cl/ClComponentElementwiseBinary.h"
-#include "src/dynamic_fusion/sketch/gpu/GpuKernelComponentGroup.h"
-#include "support/StringSupport.h"
-
-namespace arm_compute
-{
-namespace experimental
-{
-namespace dynamic_fusion
-{
-constexpr unsigned int vector_size_byte_opencl = 16;
-
-ClTemplateElementwiseBinary::ClTemplateElementwiseBinary(ComponentId                      id,
-                                                         const ArgumentPack<ITensorInfo> &tensors,
-                                                         const Attributes                &attributes)
-    : IGpuTemplateComponentWriter{id, tensors}, _lhs{}, _rhs{}, _dst{}, _attributes{attributes}
-{
-    _lhs = this->tensors().get_const_tensor(TensorType::ACL_SRC_0);
-    _rhs = this->tensors().get_const_tensor(TensorType::ACL_SRC_1);
-    _dst = this->tensors().get_const_tensor(TensorType::ACL_DST_0);
-    ARM_COMPUTE_ERROR_ON_NULLPTR(_lhs, _rhs, _dst);
-}
-
-std::string ClTemplateElementwiseBinary::get_name() const
-{
-    return "elementwise_binary";
-}
-
-std::string ClTemplateElementwiseBinary::get_component_code(const ComponentGroup &comp_group) const
-{
-    std::string code;
-    const bool  is_root      = (comp_group.get_root_component()->id() == this->id());
-    const bool  is_lhs_input = comp_group.is_input_tensor(_lhs);
-    const bool  is_rhs_input = comp_group.is_input_tensor(_rhs);
-
-    code =
-        R"_(
-    //------------------ START KERNEL {{meta_kernel_id}} {{ELTWISE_OP}} ---------------------
-)_";
-
-    if (is_root)
-    {
-        code +=
-            R"_(
-    TILE(uint, M0, 1, g_dst_indirect_y);
-)_";
-    }
-
-    if (is_lhs_input)
-    {
-        code +=
-            R"_(
-    TILE({{DATA_TYPE}}, {{lhs_m0}}, N0, {{lhs}});
-)_";
-    }
-
-    if (is_rhs_input)
-    {
-        code +=
-            R"_(
-    TILE({{DATA_TYPE}}, {{rhs_m0}}, N0, {{rhs}});
-)_";
-    }
-
-    code +=
-        R"_(
-    {
-)_";
-
-    if (is_lhs_input)
-    {
-        code +=
-            R"_(
-        {{lhs}}_offset_first_element_in_bytes += g_ind_2 * {{lhs}}_stride_w;
-        T_LOAD({{DATA_TYPE}}, {{lhs_m0}}, {{lhs_n0}}, BUFFER, {{lhs}}, {{lhs_start_ind_0}}, {{lhs_start_ind_1}}, 1, {{lhs}}_stride_y, {{lhs}});
-)_";
-    }
-
-    if (is_rhs_input)
-    {
-        code +=
-            R"_(
-        {{rhs}}_offset_first_element_in_bytes += g_ind_2 * {{rhs}}_stride_w;
-        T_LOAD({{DATA_TYPE}}, {{rhs_m0}}, {{rhs_n0}}, BUFFER, {{rhs}}, {{rhs_start_ind_0}}, {{rhs_start_ind_1}}, 1, {{rhs}}_stride_y, {{rhs}});
-)_";
-    }
-
-    code +=
-        R"_(
-        T_ELTWISE_{{BROADCAST_OP}}{{ELTWISE_OP}}({{DATA_TYPE}}, M0, N0, {{lhs}}, {{rhs}}, {{dst}});
-)_";
-
-    if (is_root)
-    {
-        // Calculate the destination indirect Y
-        code +=
-            R"_(
-        LOOP_UNROLLING(int, i, 0, 1, M0,
-        {
-            g_dst_indirect_y[i].v = (uint)min(g_ind_1 + i, (int)({{arg_dst}}_w * {{arg_dst}}_h) - 1);
-            g_dst_indirect_y[i].v += g_ind_2 * (int)({{arg_dst}}_w * {{arg_dst}}_h);
-        })
-)_";
-    }
-
-    code +=
-        R"_(
-    }
-    //------------------ END KERNEL {{meta_kernel_id}} {{ELTWISE_OP}} ---------------------
-)_";
-
-    return code;
-}
-
-void ClTemplateElementwiseBinary::declare_variables(GpuKernelVariableTable &vtable,
-                                                    const ComponentGroup   &comp_group) const
-{
-    vtable.declare_variable(comp_group, _lhs, GpuKernelArgumentInfo(common_tensor_type), "lhs");
-
-    vtable.declare_variable(comp_group, _rhs, GpuKernelArgumentInfo(common_tensor_type), "rhs");
-
-    vtable.declare_variable(comp_group, _dst, GpuKernelArgumentInfo(common_tensor_type), "dst");
-}
-
-TagLUT ClTemplateElementwiseBinary::get_tag_lut(const GpuKernelVariableTable &vtable,
-                                                const ComponentGroup         &comp_group) const
-{
-    TagLUT lut{};
-
-    // Local build options
-    lut["meta_kernel_id"] = id();
-    lut["DATA_TYPE"]      = get_cl_type_from_data_type(_lhs->data_type());
-    // Arguments and global shared variables
-
-    lut["lhs"]     = vtable.get_variable(_lhs);
-    lut["rhs"]     = vtable.get_variable(_rhs);
-    lut["dst"]     = vtable.get_variable(_dst);
-    lut["arg_dst"] = vtable.get_variable(comp_group.get_any_dst_tensor());
-
-    switch (_attributes.operation())
-    {
-        case Attributes::ElementwiseOp::Add:
-            lut["ELTWISE_OP"] = "ADD";
-            break;
-        case Attributes::ElementwiseOp::Sub:
-            lut["ELTWISE_OP"] = "SUB";
-            break;
-        case Attributes::ElementwiseOp::Mul:
-            lut["ELTWISE_OP"] = "MUL";
-            break;
-        default:
-            ARM_COMPUTE_ERROR("Arithmetic Operation not supported");
-    }
-
-    ARM_COMPUTE_ERROR_ON(comp_group.is_intermediate_tensor(_lhs) &&
-                         detail::have_different_dimensions(_lhs->tensor_shape(), _dst->tensor_shape(), 0));
-    ARM_COMPUTE_ERROR_ON(comp_group.is_intermediate_tensor(_rhs) &&
-                         detail::have_different_dimensions(_rhs->tensor_shape(), _dst->tensor_shape(), 0));
-
-    // Set broadcast parameters
-    // PRE: All tensors are broadcast-compatible
-    const auto &lhs_dims = _lhs->tensor_shape();
-    const auto &rhs_dims = _rhs->tensor_shape();
-    const auto &dst_dims = _dst->tensor_shape();
-
-    const auto lhs_broadcast_x = dst_dims[0] != 1 && lhs_dims[0] == 1;
-    const auto rhs_broadcast_x = dst_dims[0] != 1 && rhs_dims[0] == 1;
-    const auto lhs_broadcast_y = dst_dims[1] != 1 && lhs_dims[1] == 1;
-    const auto rhs_broadcast_y = dst_dims[1] != 1 && rhs_dims[1] == 1;
-    const auto lhs_broadcast_z = dst_dims[2] != 1 && lhs_dims[2] == 1;
-    const auto rhs_broadcast_z = dst_dims[2] != 1 && rhs_dims[2] == 1;
-
-    const auto lhs_broadcast_yz = lhs_broadcast_y && lhs_broadcast_z;
-    const auto rhs_broadcast_yz = rhs_broadcast_y && rhs_broadcast_z;
-
-    lut["lhs_n0"]          = (lhs_broadcast_x) ? "1" : "N0";
-    lut["lhs_start_ind_0"] = (lhs_broadcast_x) ? "0" : "g_ind_0";
-    lut["rhs_n0"]          = (rhs_broadcast_x) ? "1" : "N0";
-    lut["rhs_start_ind_0"] = (rhs_broadcast_x) ? "0" : "g_ind_0";
-
-    lut["lhs_m0"]          = (lhs_broadcast_yz) ? "1" : "M0";
-    lut["lhs_start_ind_1"] = (lhs_broadcast_yz) ? "0" : "g_ind_1";
-    lut["rhs_m0"]          = (rhs_broadcast_yz) ? "1" : "M0";
-    lut["rhs_start_ind_1"] = (rhs_broadcast_yz) ? "0" : "g_ind_1";
-
-    lut["BROADCAST_OP"] = (lhs_broadcast_yz) ? "BROADCAST_LHS_X_" : (rhs_broadcast_yz) ? "BROADCAST_RHS_X_" : "";
-
-    return lut;
-}
-
-CLBuildOptions ClTemplateElementwiseBinary::get_build_options(const ComponentGroup &comp_group) const
-{
-    CLBuildOptions build_opts{};
-    /// NOTE: For now tile sizes (n0, m0) are set by the execution window. This may change in the future
-    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("-DM0=" + support::cpp11::to_string(m0));
-    build_opts.add_option("-DN0=" + support::cpp11::to_string(n0));
-    build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(_lhs->data_type()));
-    build_opts.add_option("-DPARTIAL_N0=" + support::cpp11::to_string(partial_store_n0));
-
-    return build_opts;
-}
-
-std::string ClTemplateElementwiseBinary::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));
-    config_id += "_";
-    config_id += lower_string(string_from_data_layout(_dst->data_layout()));
-
-    return config_id;
-}
-
-std::set<std::string> ClTemplateElementwiseBinary::get_headers_list() const
-{
-    return std::set<std::string>{"helpers.h", "tile_helpers.h"};
-}
-
-Window ClTemplateElementwiseBinary::get_window() const
-{
-    ARM_COMPUTE_ERROR_ON_MSG(_dst->tensor_shape().total_size() == 0U, "Destination tensor is not initialized");
-
-    TensorShape output_shape = _dst->tensor_shape();
-    // Collapse Dim 1 (W) and Dim 2 (H) together, leave Dim 0 (C) and upper dimensions unchanged
-    // This is in line with the collapsing convention used by operators like Conv2d
-    output_shape.collapse(2U, 1U);
-    const unsigned int num_elems_processed_per_iteration =
-        adjust_vec_size(vector_size_byte_opencl / _dst->element_size(), _dst->dimension(0));
-    Window win = calculate_max_window(output_shape, Steps(num_elems_processed_per_iteration));
-
-    return win;
-}
-
-} // namespace dynamic_fusion
-} // namespace experimental
-} // namespace arm_compute