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, 267 deletions

diff --git a/src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateLogits1DMaxShiftExpSum.cpp b/src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateLogits1DMaxShiftExpSum.cpp
deleted file mode 100644
index 522c33a022..0000000000
--- a/src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateLogits1DMaxShiftExpSum.cpp
+++ /dev/null
@@ -1,267 +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 "src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateLogits1DMaxShiftExpSum.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"
-#include "support/StringSupport.h"
-
-namespace arm_compute
-{
-namespace experimental
-{
-namespace dynamic_fusion
-{
-namespace
-{
-constexpr unsigned int serial_vector_size = 8;
-} // namespace
-ClTemplateLogits1DMaxShiftExpSum::ClTemplateLogits1DMaxShiftExpSum(ComponentId                      id,
-                                                                   const ArgumentPack<ITensorInfo> &tensors,
-                                                                   const Attributes                &attributes)
-    : IGpuTemplateComponentWriter{id, tensors}, _src{}, _sum{}, _dst{}, _attributes{attributes}
-{
-    _src = this->tensors().get_const_tensor(TensorType::ACL_SRC_0);
-    _sum = this->tensors().get_const_tensor(TensorType::ACL_DST_0);
-    _dst = this->tensors().get_const_tensor(TensorType::ACL_DST_1);
-    ARM_COMPUTE_ERROR_ON_NULLPTR(_src);
-    ARM_COMPUTE_ERROR_ON_NULLPTR(_sum);
-    ARM_COMPUTE_ERROR_ON_NULLPTR(_dst);
-}
-
-std::string ClTemplateLogits1DMaxShiftExpSum::get_name() const
-{
-    return "logits_1d_max_shift_exp_sum";
-}
-
-std::string ClTemplateLogits1DMaxShiftExpSum::get_component_code(const ComponentGroup &comp_group) const
-{
-    ARM_COMPUTE_UNUSED(comp_group);
-
-    std::string code = R"_(
-//------------------ START KERNEL {{meta_kernel_id}} ---------------------
-#define VEC_TYPE VEC_DATA_TYPE({{DATA_TYPE}}, N0)
-#define SELECT_TYPE SELECT_VEC_DATA_TYPE({{DATA_TYPE}}, N0)
-{
-    __global uchar *src_addr = {{src}}_ptr + {{src}}_offset_first_element_in_bytes + g_ind_1 * {{src}}_stride_y + g_ind_2 * {{src}}_stride_z;
-    __global uchar *dst_addr = {{dst}}_ptr + {{dst}}_offset_first_element_in_bytes + g_ind_1 * {{dst}}_stride_y + g_ind_2 * {{dst}}_stride_z;
-    Image sum = CONVERT_TENSOR3D_TO_IMAGE_STRUCT({{sum}});
-    VEC_TYPE max_val_vec = (VEC_TYPE)({{MINVAL}});
-)_";
-
-    const bool beta_defined = (_attributes.beta() != 1.f);
-
-    if (beta_defined)
-    {
-        code += R"_(
-    VEC_TYPE beta = (VEC_TYPE){{BETA}};
-)_";
-    }
-
-    constexpr unsigned int _serial_vector_size = 8;
-    const unsigned int     reduction_dim_size  = _src->dimension(0);
-    const unsigned int     vector_size         = adjust_vec_size(_serial_vector_size, reduction_dim_size);
-    const bool             non_multiple_of_n0  = ((reduction_dim_size % vector_size) != 0);
-
-    if (non_multiple_of_n0)
-    {
-        code += R"_(
-    VEC_TYPE data    = VLOAD(N0)(0, (__global {{DATA_TYPE}} *)src_addr);
-    SELECT_TYPE widx = (SELECT_TYPE)PARTIAL_N0 > VEC_OFFS(SELECT_DATA_TYPE({{DATA_TYPE}}), N0);
-    max_val_vec      = max(max_val_vec, select((VEC_TYPE)({{MINVAL}}), data, widx));
-)_";
-    }
-
-    code += R"_(
-    for(uint i = PARTIAL_N0; i < {{SRC_WIDTH}}; i += N0)
-    {
-        VEC_TYPE data = VLOAD(N0)(0, (__global {{DATA_TYPE}} *)(src_addr + i * sizeof({{DATA_TYPE}})));
-        max_val_vec   = max(data, max_val_vec);
-    }
-
-    {{DATA_TYPE}} max_val = MAX_REDUCE(max_val_vec, N0);
-    VEC_TYPE sum1D = 0;
-)_";
-
-    if (non_multiple_of_n0)
-    {
-        code += R"_(
-    data -= max_val;
-)_";
-        if (beta_defined)
-        {
-            code += R"_(
-    data *= beta;
-)_";
-        }
-
-        if (_attributes.is_log_softmax())
-        {
-            code += R"_(
-    VSTORE_PARTIAL(N0, PARTIAL_N0)
-    (data, 0, (__global {{DATA_TYPE}} *)dst_addr);
-    data = exp(data);
-    data = select(0, data, widx);
-)_";
-        }
-        else
-        {
-            code += R"_(
-    data = exp(data);
-    data = select(0, data, widx);
-    VSTORE_PARTIAL(N0, PARTIAL_N0)
-    (data, 0, (__global {{DATA_TYPE}} *)dst_addr);
-)_";
-        }
-
-        code += R"_(
-    sum1D += data;
-)_";
-    }
-    code += R"_(
-    for(uint i = PARTIAL_N0; i < {{SRC_WIDTH}}; i += N0)
-    {
-        VEC_TYPE data = VLOAD(N0)(0, (__global {{DATA_TYPE}} *)(src_addr + i * sizeof({{DATA_TYPE}})));
-        data -= max_val;
-)_";
-
-    if (beta_defined)
-    {
-        code += R"_(
-    data *= beta;
-)_";
-    }
-
-    if (_attributes.is_log_softmax())
-    {
-        code += R"_(
-    VSTORE(N0)
-    (data, 0, (__global {{DATA_TYPE}} *)(dst_addr + i * sizeof({{DATA_TYPE}})));
-    data = exp(data);
-)_";
-    }
-    else
-    {
-        code += R"_(
-    data = exp(data);
-    VSTORE(N0)
-    (data, 0, (__global {{DATA_TYPE}} *)(dst_addr + i * sizeof({{DATA_TYPE}})));
-)_";
-    }
-
-    code += R"_(
-    sum1D += data;
-    }
-)_";
-
-    code += R"_(
-    *((__global {{DATA_TYPE}} *)sum.ptr) = SUM_REDUCE(sum1D, N0);
-}
-//------------------ END KERNEL {{meta_kernel_id}} ---------------------
-)_";
-
-    return code;
-}
-
-void ClTemplateLogits1DMaxShiftExpSum::declare_variables(GpuKernelVariableTable &vtable,
-                                                         const ComponentGroup   &comp_group) const
-{
-    vtable.declare_variable(comp_group, _src, GpuKernelArgumentInfo(GpuKernelArgumentInfo::Type::Tensor_3D), "src");
-
-    vtable.declare_variable(comp_group, _sum, GpuKernelArgumentInfo(GpuKernelArgumentInfo::Type::Tensor_3D), "sum");
-
-    vtable.declare_variable(comp_group, _dst, GpuKernelArgumentInfo(GpuKernelArgumentInfo::Type::Tensor_3D), "dst");
-}
-
-TagLUT ClTemplateLogits1DMaxShiftExpSum::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["sum"] = vtable.get_variable(_sum);
-    lut["dst"] = vtable.get_variable(_dst);
-
-    // Local build options
-    lut["meta_kernel_id"] = id();
-
-    const DataType data_type = _src->data_type();
-
-    lut["DATA_TYPE"] = get_cl_type_from_data_type(data_type);
-    lut["BETA"]      = float_to_string_with_full_precision(_attributes.beta());
-    lut["MINVAL"]    = (data_type == DataType::F16) ? std::string("-HALF_MAX") : std::string("-FLT_MAX");
-    lut["SRC_WIDTH"] = support::cpp11::to_string(_src->dimension(0));
-
-    return lut;
-}
-
-CLBuildOptions ClTemplateLogits1DMaxShiftExpSum::get_build_options(const ComponentGroup &comp_group) const
-{
-    ARM_COMPUTE_UNUSED(comp_group);
-    CLBuildOptions build_opts{};
-
-    const unsigned int reduction_dim_size = _src->dimension(0);
-    const unsigned int vector_size        = adjust_vec_size(serial_vector_size, reduction_dim_size);
-
-    build_opts.add_option("-DN0=" + support::cpp11::to_string(vector_size));
-    build_opts.add_option("-DPARTIAL_N0=" + support::cpp11::to_string((reduction_dim_size % vector_size)));
-
-    return build_opts;
-}
-
-std::string ClTemplateLogits1DMaxShiftExpSum::get_config_id() const
-{
-    std::string config_id = get_name();
-
-    config_id += "_";
-    config_id += support::cpp11::to_string(_src->dimension(0));
-    config_id += "_";
-    config_id += string_from_data_type(_src->data_type());
-
-    return config_id;
-}
-
-std::set<std::string> ClTemplateLogits1DMaxShiftExpSum::get_headers_list() const
-{
-    return std::set<std::string>{"helpers.h", "tile_helpers.h"};
-}
-
-Window ClTemplateLogits1DMaxShiftExpSum::get_window() const
-{
-    ARM_COMPUTE_ERROR_ON_MSG(_dst->tensor_shape().total_size() == 0U, "Destination tensor is not initialized");
-
-    Window win = calculate_max_window(*_dst, Steps(_src->dimension(0)));
-    return win.collapse(win, Window::DimZ);
-}
-
-} // namespace dynamic_fusion
-} // namespace experimental
-} // namespace arm_compute